6,161 results on '"lifting scheme"'
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2. Region of interest encryption algorithm for images based on lifting scheme and object detection.
- Author
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Wang, Lujie, Chen, Zhong, Sun, Xiyu, and He, Chenchen
- Abstract
Securing image transmissions has become critical as the demand for image sharing and storage grows. In some commercial uses, in order to achieve a balance between encryption security and efficiency, some researchers have tried to encrypt only the region of interest of the user in the image. In order to accurately encrypt region of interest images, this paper proposed a region of interest image encryption algorithm based on lifting scheme and object detection. The algorithm automatically identifies the region of interest in the image and encrypts it securely and effectively. Firstly, the region of interest in the image is detected using the object detection model, and the non-maximum suppression algorithm is modified to solve the problem that the detection box outputted by the object detection model does not completely contain the region of interest. Then the existing pixel extraction method for region of interest images is improved to extract the pixels from the region of interest images at a faster speed, which improves the overall efficiency of the algorithm. Finally, based on the thought of wavelet lifting transform, combined with chaotic system, a two-layer hybrid lifting scheme encryption algorithm is proposed to encrypt the extracted pixels. Experimental results and security analysis show that the algorithm proposed in this paper can effectively protect all objects at once with high security. [ABSTRACT FROM AUTHOR] more...
- Published
- 2025
- Full Text
- View/download PDF
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3. An Efficient Multi-Level 2D DWT Architecture for Parallel Tile Block Processing with Integrated Quantization Modules.
- Author
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Li, Qitao, Zhang, Wei, Wu, Zhuolun, Dai, Yuzhou, and Liu, Yanyan
- Subjects
DISCRETE wavelet transforms - Abstract
A multi-level 2D Discrete wavelet transform (DWT) architecture for JPEG2000 is proposed, enhancing speed through parallel processing multiple tile blocks. Based on the lifting scheme, folded architecture and unfolded architecture achieving critical path delay with only one multiplier are designed to increase throughput rate. Connecting the folded and unfolded architecture through a pipeline architecture ensures uniform throughput rates across all DWT levels within a singular clock domain. Computational resource consumption is reduced by adjusting the timing to allow one folded architecture to process three tile blocks of three to five levels of DWT, and a transposing module requiring merely six registers is devised to decrease storage resource consumption. The quantization module, crucial for code-word control in JPEG2000, is integrated into the scaling module with minimal additional resource expenditure. Compared to the existing architecture, the analysis demonstrates that the proposed architecture exhibits enhanced hardware efficiency, with a reduction in transistor-delay-product (TDP) of no less than 14.69%. Synthesis results further reveal an area reduction of at least 26.64%, and a decrease in area-delay-product (ADP) by a minimum of 29.89%. Results from FPGA implementation indicate a significant decrease in resource utilization. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
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4. Lifting MGARD: Construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order.
- Author
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Reshniak, Viktor, Ferguson, Evan, Gong, Qian, Vidal, Nicolas, Archibald, Richard, and Klasky, Scott
- Subjects
DATA compression ,WAVELET transforms ,DATA reduction ,POLYNOMIALS ,ALGORITHMS - Abstract
MGARD (MultiGrid Adaptive Reduction of Data) is an algorithm for compressing and refactoring scientific data, based on the theory of multigrid methods. The core algorithm is built around stable multilevel decompositions of conforming piecewise linear $ C^0 $ finite element spaces, enabling accurate error control in various norms and derived quantities of interest. In this work, we extend this construction to arbitrary order Lagrange finite elements $ \mathbb{Q}_p $, $ p \geq 0 $, and propose a reformulation of the algorithm as a lifting scheme with polynomial predictors of arbitrary order. Additionally, a new formulation using a compactly supported wavelet basis is discussed, and an explicit construction of the proposed wavelet transform for uniform dyadic grids is described. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
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- View/download PDF
5. 3D Model Fragile Watermarking Scheme for Authenticity Verification.
- Author
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Kozieł, Grzegorz and Malomuzh, Liudmyla
- Subjects
DIGITAL watermarking ,MESSAGE authentication codes ,SIGNAL-to-noise ratio ,CULTURAL property ,FORGERY - Abstract
With the development of new technologies, 3D models are becoming increasingly important. They are used to design new models, document cultural heritage and scan valuable artefacts or evidence. They are also used in medicine. For these reasons, they are vulnerable to forgery. Protection against forgery done by encrypting the model or signing it digitally may restrict access to the data or require additional files to store the signatures. A good way to confirm the originality of 3D models is fingerprinting. This technique involves attaching a fragile watermark directly to the watermarked data. In the paper, we propose a new fingerprinting method for 3D models. The method hides the fingerprint in the least significant digits of the coordinates of the selected vertices. The fingerprint is created by calculating the hash-based message authentication code (HMAC) from the model textures and all vertex coordinates except the digits intended to attach the fingerprint. These digits are processed using discrete wavelet transform (DWT). The HMAC is attached to the selected DWT coefficients. The inverse discrete wavelet transform is then performed to obtain the new values of the modified digits. The digits are put back into the 3D model coordinates and the model is reassembled. Verification of the model originality is done according to the used steganographic key and consists of comparing the HMAC value extracted from the fingerprinted model with the HMAC value calculated from it. The same values of both HMAC results indicate that the model has not been modified. The proposed method allows efficient model fingerprinting and detection of changes made to any part of the model. The included fingerprints are transparent - the peak signal-to-noise ratio (PSNR) of a fingerprinted model can reach 150dB and its structural similarity can be over 99.8%. This paper presents a novel, computationally efficient fragile watermarking scheme that is capable of detecting the smallest changes in any part of a 3D model. The presented solution can be used to confirm the originality of 3D models. In particular, it will work well for fingerprinting large models such as 3D scans of architectural objects. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
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6. Texture classification network integrating adaptive wavelet transform.
- Author
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Yu, Su-Xi, He, Jing-Yuan, Wang, Yi, Cai, Yu-Jiao, Yang, Jun, Lin, Bo, Yang, Wei-Bin, and Ruan, Jian
- Subjects
- *
CONVOLUTIONAL neural networks , *DEEP learning , *WAVELET transforms , *ULTRASONIC imaging - Abstract
Graves' disease is a common condition that is diagnosed clinically by determining the smoothness of the thyroid texture and its morphology in ultrasound images. Currently, the most widely used approach for the automated diagnosis of Graves' disease utilizes Convolutional Neural Networks (CNNs) for both feature extraction and classification. However, these methods demonstrate limited efficacy in capturing texture features. Given the high capacity of wavelets in describing texture features, this research integrates learnable wavelet modules utilizing the Lifting Scheme into CNNs and incorporates a parallel wavelet branch into the ResNet18 model to enhance texture feature extraction. Our model can analyze texture features in spatial and frequency domains simultaneously, leading to optimized classification accuracy. We conducted experiments on collected ultrasound datasets and publicly available natural image texture datasets, our proposed network achieved 97.27% accuracy and 95.60% recall on ultrasound datasets, 60.765% accuracy on natural image texture datasets, surpassing the accuracy of ResNet and confirming the effectiveness of our approach. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
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7. A CRYPTOGRAPHY USING LIFTING SCHEME INTEGER WAVELET TRANSFORM OVER MIN-MAX-PLUS ALGEBRA.
- Author
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YUNUS, MAHMUD, DWI FIRMANSYAH, MOHAMAD ILHAM, and SUBIONO
- Subjects
ALGEBRA ,INTEGERS ,ENTROPY ,SIGNALS & signaling ,ALGORITHMS - Abstract
We propose a cryptographic algorithm utilizing integer wavelet transform via a lifting scheme. In this research, we construct some predict and update operators within the lifting scheme of wavelet transforms employing operations in min-max-plus algebra, termed as lifting scheme integer wavelet transform over min-max-plus algebra (MMPLS-IWavelet). The analysis and synthesis process on MMPLS-IWavelet is implemented for both encryption and decryption processes. The encryption key comprises a sequence of positive integers, where the first element specifies MMPLS-IWavelet type and subsequent elements indicate the levels of each executed transformation. The decryption key involves three components: the original encryption key, a binary encoding of the analyzed signal, and a sequence of non-negative integer representing the length of coefficient signals from the approximation and detail signals. We present a rigorous analysis confirming the correctness of the proposed cryptographic scheme, and evaluate its performance based on various metrics such as correlation value between plaintext and ciphertext, encryption quality, computation time, key sensitivity, entropy analysis, and key space analysis. We also analyze the computational costs of the encryption and decryption processes. The experimental results demonstrate that the proposed algorithms empirically yield satisfactory performance, exhibiting a near zero correlation between plaintext and ciphertext for most of test data, high encryption quality (over 80%), substantial key sensitivity, the large key space, and greater randomness in ciphertext compare to plaintext. The algorithm is efficient in terms of computational time and has linear complexity with respect to the number of input characters. The vast key space makes it highly impractical for brute-force approaches to find the decryption key directly. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
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8. Lifting wavelet transform-based photometric visual servoing.
- Author
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Rouag, Fadi Elislam, Terki, Nadjiba, Hamiane, Madina, Dahmani, Habiba, and Bourennane, Mohammed
- Abstract
Photometric visual servoing is considered more precise and more robust than methods that use extracted geometric features, considering that photometric visual servoing uses only pure luminance intensities as indicators of vision. However, this method fails to give the expected results in situations when there are significantly distinct variations in illumination. Generating vision-based control signals through the use of the traditional wavelet approach associated with the lifting scheme can resolve this problem and reduce the considerable processing time required for the creation of interaction matrices. Unlike using traditional Wavelet approaches alone, adding the lifting scheme gives rise to a mathematical method that optimizes calculations and permits real-time wavelet modifications. In this work, a novel idea that exploits the advantages of the traditional wavelet approach associated with the attractive features of the lifting scheme, is proposed and consists of employing wavelet coefficients generated through the lifting approach as input signals in vision-based control. The development of an interaction matrix for the proposed features is presented and simulations of various illumination scenarios are carried out to demonstrate the effectiveness of the proposed technique. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
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9. Integer wavelet transform based high performance secure steganography scheme QVD-LSB.
- Author
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Mandal, Pratap Chandra, Mukherjee, Imon, and Chatterji, B. N.
- Subjects
WAVELET transforms ,INTEGERS ,CRYPTOGRAPHY - Abstract
An integer wavelet transform (IWT) based image steganography technique is proposed to prevail the embedding capacity constraints in this domain. Quotient value differencing (QVD) and 2-least significant bit (2-LSB) techniques are employed in the high frequency subbands. It divides the bit region of each coefficient of high-frequency subbands into two halves and two techniques are used concurrently in each half of the bitplane. The high-frequency subbands are divided into non-overlapping 3 × 3 blocks and confidential messages are concealed in eight directions within each block. The low-frequency subband is fragmented into non-overlapping 2 × 2 blocks. Since the human eye cannot tolerate more changes in low-frequency coefficients, one-fourth of the approximation subband (LL) is used to hide confidential messages. The method attains an average embedding capacity (AEC) of 3.14 bpp. To increase the safety of the technique, the confidential messages are hidden in a non-sequential way. The work resists the steganalysis test of StegExpose and outperforms the tests of the standard tool StirMark benchmark 4.0. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
- View/download PDF
10. De-noising of Low Dose CT Liver Images Using Improved Discrete Wavelet Transform
- Author
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Heartlin Maria, H., Kayalvizhi, R., Keren Evangeline, I., George Princess, T., Rashmika Mangalya, T., Shakthi Prakash, J., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Owoc, Mieczyslaw Lech, editor, Varghese Sicily, Felix Enigo, editor, Rajaram, Kanchana, editor, and Balasundaram, Prabavathy, editor more...
- Published
- 2024
- Full Text
- View/download PDF
11. Hybrid noise removal to improve the accuracy of inertial sensors using lifting wavelet transform optimized by genetic algorithm
- Author
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H. Alaeiyan, M.R. Mosavi, and A. Ayatollahi
- Subjects
INS ,Wavelet transform ,Lifting scheme ,Genetic algorithm ,Allan variance ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
An Inertial Navigation System (INS) is a standalone system that provides continuous navigation information on the position, velocity, and attitude in various conditions. Gyroscopes and accelerometers are essential components of INS. However, these sensors are prone to errors that accumulate over time and degrade the accuracy of the INS. Therefore, enhancing the performance of INS is a challenging problem. This paper aims to address this problem by proposing a method to reduce errors in real-time processing. The method uses Lifting Wavelet Transform (LWT), a popular denoising technique that belongs to the wavelet family and has an advantage over the classic wavelets in terms of time and computation complexity. Moreover, the method employs an optimization technique based on the Genetic algorithm as an intelligent averaging for combining different multi-level LWTs, which significantly improves the accuracy and efficiency of INSs. Finally, a new and implementable structure is introduced for denoising inertial sensors. The results show that the proposed method achieves an 83% and 59% improvement in gyroscope and accelerometer data for dynamic data, compared with raw data. Besides, for static data, there are 71% and 36% improvements in gyroscope and accelerometer data, respectively. more...
- Published
- 2023
- Full Text
- View/download PDF
12. FPGA implementation of compact and low-power multiplierless architectures for DWT and IDWT.
- Author
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Jana, Jhilam, Chowdhury, Ritesh Sur, Tripathi, Sayan, and Bhaumik, Jaydeb
- Abstract
Wavelet transform is an important tool in the field of multimedia signal processing. Due to the growing demand for hardware-based design in the field of image, video, and speech signal processing, several researchers have implemented different discrete wavelet transform (DWT) architectures and measured their performances. In this paper, FPGA implementation of compact and low-power VLSI architectures for one-dimensional and two-dimensional DWT and inverse discrete wavelet transform (IDWT) based on lifting and lattice schemes have been proposed. The adder–subtractor-based design approach has been used to replace the multiplier without affecting the precision. Hardware and timing analysis of existing and proposed 1D and 2D architectures are presented here. The proposed and existing DWT and IDWT architectures are also simulated and synthesized in a Virtex-4 FPGA device. The number of slice LUTs, slice registers, clock frequency, delay, power, and power-LUTs product (PLP) of proposed DWT and IDWT architectures based on lifting and lattice schemes have been found using Xilinx Vivado synthesis tool. The proposed design is also implemented on Basys 3 Artix-7 FPGA board and synthesis results show a significant improvement in terms of area and power compared to other existing architectures. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
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13. GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network.
- Author
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Deb, Swakshar, Rahman, Shafin, and Rahman, Sejuti
- Subjects
- *
BIPARTITE graphs , *WAVELET transforms , *WAVELETS (Mathematics) , *TOPOLOGY - Abstract
Wavelet-based graph neural networks have received increasing attention in the node classification task. Existing graph wavelet-based approaches, however, are not applicable to arbitrary graphs as they use predefined wavelet filters with built-in homophilic assumptions and disregard heterophily. Recent studies attempted to address this issue through a wavelet lifting transform, which requires a bipartite graph, therefore altering the graph topology and leading to undesirable wavelet filters. This paper proposes a generalized adaptive graph wavelet network that preserves the graph topology through computational trees while implementing the lifting scheme on arbitrary graphs. Moreover, this locally defined lifting scheme integrates both high-pass and low-pass frequency components to further enhance feature representation. Finally, we benchmark our model using nine homophilic and heterophilic datasets, and the results demonstrate the effectiveness of our method. • We propose a novel framework for lifting-based adaptive wavelet networks. • Our framework uses local lifting scheme on computational trees, preserving structure. • The fusion operation combines levels of information, enhancing node representation. • Our experiments on nine datasets validate the effectiveness of our method. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
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14. Numerical Solution of Cahn-Allen Equations by Wavelet Based Lifting Schemes.
- Author
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Angadi, L. M.
- Subjects
- *
NUMERICAL solutions to equations , *REACTION-diffusion equations , *MATHEMATICAL physics , *PHASE separation - Abstract
The Cahn-Allen equation is a reaction-diffusion equation of mathematical physics that describes the process of phase separation in multi-component alloy systems and orderdisorder transitions. This paper presented a numerical solution of Cahn-Allen equations by Lifting scheme using different wavelet filter coefficients. The numerical results obtained using this scheme are compared with the exact solution to demonstrate the accuracy and fast convergence in less computational time than the existing scheme. Some problems are taken to show the validity and applicability of the scheme. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
- View/download PDF
15. Hybrid noise removal to improve the accuracy of inertial sensors using lifting wavelet transform optimized by genetic algorithm.
- Author
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Alaeiyan, H., Mosavi, M.R., and Ayatollahi, A.
- Subjects
GENETIC algorithms ,INERTIAL navigation systems ,TIME complexity ,WAVELET transforms ,MATHEMATICAL optimization ,DETECTORS - Abstract
An Inertial Navigation System (INS) is a standalone system that provides continuous navigation information on the position, velocity, and attitude in various conditions. Gyroscopes and accelerometers are essential components of INS. However, these sensors are prone to errors that accumulate over time and degrade the accuracy of the INS. Therefore, enhancing the performance of INS is a challenging problem. This paper aims to address this problem by proposing a method to reduce errors in real-time processing. The method uses Lifting Wavelet Transform (LWT), a popular denoising technique that belongs to the wavelet family and has an advantage over the classic wavelets in terms of time and computation complexity. Moreover, the method employs an optimization technique based on the Genetic algorithm as an intelligent averaging for combining different multi-level LWTs, which significantly improves the accuracy and efficiency of INSs. Finally, a new and implementable structure is introduced for denoising inertial sensors. The results show that the proposed method achieves an 83% and 59% improvement in gyroscope and accelerometer data for dynamic data, compared with raw data. Besides, for static data, there are 71% and 36% improvements in gyroscope and accelerometer data, respectively. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
- Full Text
- View/download PDF
16. The numerical solution of hyperbolic differential equations using Wavelet lifting scheme.
- Author
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Deshi, A. B. and Gudodagi, G. A.
- Subjects
NUMERICAL solutions to differential equations ,MATHEMATICAL physics ,WAVELETS (Mathematics) ,WAVELET transforms ,BIORTHOGONAL systems ,HYPERBOLIC differential equations - Abstract
Recently Wavelet theory is an advanced tool in science and engineering research; mainly wavelets are applicable in fast algorithms for easy implementation. In this paper, we present an innovative wavelet technique that is lifting scheme for the numerical solutions of hyperbolic differential equations come across in mathematical physics. Here we used orthogonal and biorthogonal wavelets to expose the efficiency and effectiveness of the proposed scheme. The proposed scheme speeds up the convergence in less computational time, which is illustrated through the numerical examples. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
17. ICPCH: A Hybrid Approach for Lossless Dicom Image Compression Using Combined Approach of Linear Predictive Coding and Huffman Coding with Wavelets
- Author
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Latha, H. R., Rama Prasath, A., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Guru, D. S., editor, Y. H., Sharath Kumar, editor, K., Balakrishna, editor, Agrawal, R. K., editor, and Ichino, Manabu, editor more...
- Published
- 2022
- Full Text
- View/download PDF
18. Temporal Lift Pooling for Continuous Sign Language Recognition
- Author
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Hu, Lianyu, Gao, Liqing, Liu, Zekang, Feng, Wei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Avidan, Shai, editor, Brostow, Gabriel, editor, Cissé, Moustapha, editor, Farinella, Giovanni Maria, editor, and Hassner, Tal, editor more...
- Published
- 2022
- Full Text
- View/download PDF
19. Frames and Multirate Perfect Reconstruction Filter Banks in Multiple Dimensions
- Author
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Fujinoki, Kensuke, Cerejeiras, Paula, editor, Reissig, Michael, editor, Sabadini, Irene, editor, and Toft, Joachim, editor
- Published
- 2022
- Full Text
- View/download PDF
20. Comparison of Approaches to the Circuits Design for DWT with CDF 9/7 Wavelet
- Author
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Lyakhov, Pavel, Nagornov, Nikolay, Bergerman, Maxim, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tchernykh, Andrei, editor, Alikhanov, Anatoly, editor, Babenko, Mikhail, editor, and Samoylenko, Irina, editor more...
- Published
- 2022
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21. A New Cell Spreading Video Coding Based on Bandelet Transform and Lifting Scheme for Medical applications.
- Author
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HABCHI, Yassine, BOUDDOU, Riyadh, AIMER, Ameur Fethi, and BELADGHAM, Mohammed
- Subjects
GEOMETRIC shapes ,COMPUTATIONAL complexity ,VIDEO coding - Abstract
Copyright of Przegląd Elektrotechniczny is the property of Przeglad Elektrotechniczny and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...
- Published
- 2023
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22. Design of Protocol for Handwriting Recognition Using FPGA
- Author
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Patil, Vinita, Patil, Rajendra R., Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Goyal, Dinesh, editor, Chaturvedi, Pradyumn, editor, and Purohit, S.D., editor more...
- Published
- 2021
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23. An Integrated VLSI Architecture for Forward and Backward Lifting Scheme Discrete Wavelet Transform Using FinFET Device
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Guptha, Maram Anantha, Rao, Surampudi Srinivasa, Selvaraj, Ravindrakumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Reddy, V. Sivakumar, editor, Prasad, V. Kamakshi, editor, Wang, Jiacun, editor, and Reddy, K. T. V., editor more...
- Published
- 2021
- Full Text
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24. Lifting Wavelet and Discrete Cosine Transform-Based Super-Resolution for Satellite Image Fusion
- Author
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Asokan, Anju, Anitha, J., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Singh, Vijendra, editor, Asari, Vijayan K., editor, Kumar, Sanjay, editor, and Patel, R. B., editor more...
- Published
- 2021
- Full Text
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25. VLSI architecture design and implementation of 5/3 and 9/7 lifting Discrete Wavelet Transform.
- Author
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Naseer, Raja Arslan, Nasim, Muneeba, Sohaib, Muhummad, Younis, Ch. Jabbar, Mehmood, Anzar, Alam, Mehboob, and Massoud, Yehia
- Subjects
- *
DISCRETE wavelet transforms , *ARCHITECTURAL design , *FIELD programmable gate arrays , *VERY large scale circuit integration , *WEIGHT lifting - Abstract
Discrete Wavelet Transform (DWT) is considered among the few computationally expensive block of multimedia compression standards. In this work, we proposed a reduced hardware complexity VLSI architectures of 5/3 and 9/7 lifting bi-orthogonal DWT for multimedia applications. The architecture uses a combination of Distribute Arithmetic (DA) and Canonical Signed Digit (CSD) based implementation to reduce the hardware complexity. The resulting lifting based architecture discretely finds optimized number of sum of products to give minimum realization. The architecture is implemented on Field Programmable Gate Array (FPGA) with results compared with known classical and other optimized DWT architectures. • A reduced hardware complexity architecture of 5/3 and 9/7 lifting bi-orthogonal DWT • Uses Distribute Arithmetic and Canonical Signed Digit to give minimum realization • Functionality verified using Altera DE2-115 Cyclon IV FPGA • Hardware results compared with other optimized DWT architectures [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
- Full Text
- View/download PDF
26. Comparative analysis of integer wavelet transforms in reversible data hiding using threshold based histogram modification
- Author
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Ahmad Shaik and V. Thanikaiselvan
- Subjects
Integer-to-integer wavelet transforms ,Image reversible data hiding ,Lifting scheme ,Transform domain data hiding ,Histogram shifting ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
In the secured data communication scenario, image based Reversible Data Hiding (RDH) at transform domain is receiving its due popularity now. In research works so far, evaluation of transforms in RDH is very minor compared to that of image coding. Since both the areas deal primarily with integers, the present study takes an appreciable step forward by investigating the utilization of integer-to-integer wavelet transforms that have reversibility, which helped in developing high capacity and robust RDH algorithms. The proposed investigation tends to bridge gaps in the area of data hiding with the available coding transforms. In this work, integer wavelet transforms like Haar, 5/3, 2/6, 9/7-M, 2/10, 5/11-C, 5/11-A, 6/14, 13/7-T, 13/7-C and 9/7-F are evaluated using a generalized threshold-based histogram shifting technique. This work compares the performance of all integer wavelet transforms and other state of the art techniques with respect to their embedding capacity and image visual quality. This analysis leads to a better understanding of the relationship between the embedding capacity and the stego image quality whenever different wavelets were utilized. more...
- Published
- 2021
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27. The Construction of Multi-wavelets with Matrix Dilation via the Lifting Scheme with Several Steps
- Author
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Zhou, Xiaohui, Gu, Guiding, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Du, Junping, editor, and Zhang, Weicun, editor more...
- Published
- 2020
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28. Performance Analysis of Color Image Watermarking with Lifting Scheme
- Author
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Pandey, Mahendra Kumar, Parmar, Girish, Sikander, Afzal, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sikander, Afzal, editor, Acharjee, Dulal, editor, Chanda, Chandan Kumar, editor, Mondal, Pranab Kumar, editor, and Verma, Piyush, editor more...
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- 2020
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29. Complexity Analysis of Big Data Utilizing Lifting Based DWT for Multimedia Sensor Networks
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Khan, Samia, Biswas, Satarupa, Iftekhar, Nida, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Singh, Pradeep Kumar, editor, Suryadevara, Nagender Kumar, editor, Sharma, Sudhir Kumar, editor, and Singh, Amit Prakash, editor more...
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- 2020
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30. Lossless Color Image Watermarking Based on Lifting Scheme and GWO for Copyright Protection
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Pandey, Mahendra Kumar, Parmar, Girish, Gupta, Rajeev, Sikander, Afzal, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Pant, Millie, editor, Sharma, Tarun K., editor, Verma, Om Prakash, editor, Singla, Rajesh, editor, and Sikander, Afzal, editor more...
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- 2020
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31. The Analysis and Research of Lifting Scheme Based on Wavelet Transform
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Ding, Li, Chen, Weiqing, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Xu, Zheng, editor, Choo, Kim-Kwang Raymond, editor, Dehghantanha, Ali, editor, Parizi, Reza, editor, and Hammoudeh, Mohammad, editor more...
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- 2020
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32. Novel Lifting Filter Bank for Bird Call Analysis
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Subbulakshmi, N., Manimegalai, R., Kumar, L. Ashok, editor, Jayashree, L. S., editor, and Manimegalai, R., editor
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- 2020
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33. Evaluation of power quality disturbance in PV-connected IEEE-14 bus system using lifting-based wavelet transform and random forest.
- Author
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Upadhyaya, S., Bhende, C. N., Mohanty, S., and Pati, R.
- Subjects
- *
WAVELET transforms , *RANDOM forest algorithms , *TIME-domain analysis , *PHOTOVOLTAIC power systems , *IMAGE compression , *TEST systems - Abstract
This paper interprets the application of second-generation wavelet transform (SGWT) to IEEE-14 test bus system combined with renewable source. The goodness of this lifting-scheme-driven second-generation wavelet transform is that it is a time domain analysis which needs less processing time and thus less memory. On the other hand, the SGWT is very simple and easy to implement. The IEEE-14 bus system is designed with the photovoltaic system from which different distorted signals are captured. The PV disconnection is carried out within the power quality (PQ) environment. Further, this paper discriminates the PV disconnection events from PQ events by selecting threshold value. For this negative sequence, voltage signal has been extracted at point of common coupling. The MATLAB simulation results show that SGWT has provided good results. Moreover, SGWT is also found more robust. Moreover, data mining-based approach, named as random forest (RF), has also implemented for discrimination of PV disconnection events from PQ disturbances. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
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34. Lossless White Balance for Improved Lossless CFA Image and Video Compression.
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Lee, Yeejin and Hirakawa, Keigo
- Subjects
- *
VIDEO compression , *IMAGE compression , *COLOR filter arrays , *LOSSLESS data compression , *VIDEO coding , *IMAGE sensors , *IMAGE color analysis - Abstract
Color filter array is a spatial multiplexing of pixel-sized filters fabricated over pixel sensors in most color image sensors. The state-of-the-art lossless coding techniques of raw sensor data captured by such sensors leverage spatial or cross-color correlation using lifting schemes. In this paper, we propose a lifting-based lossless white balance algorithm. When applied to the raw sensor data, the spatial bandwidth of the implied chrominance signals decreases. We propose to use this white balance as a pre-processing step to lossless CFA subsampled image/video compression, improving the overall coding efficiency of the raw sensor data. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
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35. Dynamic Neural Network for Lossy-to-Lossless Image Coding.
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Dardouri, Tassnim, Kaaniche, Mounir, Benazza-Benyahia, Amel, and Pesquet, Jean-Christophe
- Subjects
- *
IMAGE compression , *WAVELET transforms , *DISCRETE wavelet transforms - Abstract
Lifting-based wavelet transform has been extensively used for efficient compression of various types of visual data. Generally, the performance of such coding schemes strongly depends on the lifting operators used, namely the prediction and update filters. Unlike conventional schemes based on linear filters, we propose, in this paper, to learn these operators by exploiting neural networks. More precisely, a classical Fully Connected Neural Network (FCNN) architecture is firstly employed to perform the prediction and update. Then, we propose to improve this FCNN-based Lifting Scheme (LS) in order to better take into account the input image to be encoded. Thus, a novel dynamical FCNN model is developed, making the learning process adaptive to the input image contents for which two adaptive learning techniques are proposed. While the first one resorts to an iterative algorithm where the computation of two kinds of variables is performed in an alternating manner, the second learning method aims to learn the model parameters directly through a reformulation of the loss function. Experimental results carried out on various test images show the benefits of the proposed approaches in the context of lossy and lossless image compression. [ABSTRACT FROM AUTHOR] more...
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- 2022
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36. On audio feature extraction for deep Neural networks in limited-resource applications
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Salembier Clairon, Philippe Jean, Scaini, Davide, Llovet Guasch, Ariadna, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Salembier Clairon, Philippe Jean, Scaini, Davide, and Llovet Guasch, Ariadna more...
- Abstract
The integration of feature extraction layers at the frontend of Deep Neural Networks for audio signal processing can enhance their performance by enabling systems to focus on relevant information rather than processing entire complex signals. Existing feature ex- traction techniques for audio signals, such as the Mel-filterbanks and Mel-Frequency Cepstrum Coefficients (MFCC), effectively mimic the human auditory system and demonstrate strong performance; however, they are fixed methods that lack adaptability to varying input signals. This work explores learnable frontend solutions for audio processing that require minimal computational resources, making them suitable for constrained environments like mobile devices. We aim at using deep learning techniques to build feature extractors that can adapt to input data. Within our work, we make two main contributions. We first evaluate SincNet, a popular State of the Art frontend against traditional approaches, assessing its performance across multiple tasks to determine whether it can be generalized for different problems and signals. Additionally, we introduce LW-Net, a novel learnable frontend that combines Convolutional Neural Networks (CNN) with Wavelet Transforms (WT) and the Lifting Scheme to extract relevant features from general audio signals. This architecture is designed to combine the multiresolution analysis properties of the Discrete Wavelet Transform with the Lifting scheme to parametrically build a small frontend. Our goal is that such frontend requires a minimal amount of computational resources to be implemented and trained and can improve the performance of small Deep Neural Networks, therefore being suitable for resource constrained environments., La integración de capas de extracción de características en el frontend de Redes Neuronales Profundas para el procesamiento de señales de audio puede mejorar su rendimiento al permitir que los sistemas se concentren en información relevante en lugar de tener que procesar señales complejas. Las técnicas existentes de extracción de características para señales de audio, como los Mel-filterbanks y los Coeficientes Cepstrales en Frecuencia Mel (MFCC), imitan eficazmente el sistema auditivo humano y demuestran un rendimiento sólido; sin embargo, son métodos fijos que carecen de adaptabilidad a distintas señales de entrada. Este trabajo explora soluciones de frontends que se puedan aprender para el procesamiento de audio y que requieren recursos computacionales mínimos, lo que las hace adecuadas para entornos restringidos como dispositivos móviles. Nuestro objetivo es utilizar técnicas de aprendizaje profundo para construir extractores de características que puedan adaptarse a los datos de entrada. Dentro de nuestro trabajo, hacemos dos contribuciones principales. Primero, evaluamos SincNet, un popular frontend en este campo de investigación, en comparación con enfoques tradicionales, analizando su rendimiento en múltiples tareas para determinar si puede generalizarse para diferentes problemas y señales. Además, introducimos LW-Net, un nuevo frontend aprendible que combina Redes Neuronales Convolucionales (CNN) con Transformadas Wavelet (WT) y el Lifting Scheme para extraer características relevantes de cualquier señal de audio. Esta arquitectura está diseñada para combinar las propiedades de análisis multiresolución de la Transformada Wavelet Discreta con el Lifting Scheme para construir de manera paramétrica un pequeño frontend. Nuestro objetivo es que dicho frontend requiera una cantidad mínima de recursos computacionales para ser implementado y entrenado, y que pueda mejorar el rendimiento de pequeñas Redes Neuronales Profundas, siendo por lo tanto adecuado para entor, La integració de capes d'extracció de característiques en el frontend de Xarxes Neuronals Profundes per al processament de senyals d'àudio pot millorar el seu rendiment en permetre que els sistemes se centrin en informació rellevant en lloc d'haver de processar senyals completes. Les tècniques existents d'extracció de característiques per a senyals d'àudio, com els Mel-filterbanks i els Coeficients Cepstrals en Frequència Mel (MFCC), imiten eficaçment el sistema auditiu humà i demostren un rendiment sòlid; tanmateix, són mètodes fixos que manquen d'adaptabilitat a diferents senyals d'entrada. Aquest treball explora solucions de frontends que es poden aprendre per al processament d'àudio i que requereixen recursos computacionals mínims, cosa que les fa adequades per a entorns restringits com dispositius mòbils. El nostre objectiu és utilitzar tècniques d'aprenentatge profund per construir extractors de característiques que puguin adaptar-se a les dades d'entrada. Dins del nostre treball, fem dues contribucions principals. Primer, avaluem SincNet, un popular frontend d'última generació, en comparació amb enfocaments tradicionals, analitzant el seu rendiment en múltiples tasques per determinar si es pot generalitzar per a diferents problemes i senyals. En segon lloc, introduïm LW-Net, un nou frontend aprenible que combina Xarxes Neuronals Convolucionals (CNN) amb Transformades Wavelet (WT) i l'Esquema d'Elevació per extreure característiques rellevants de senyals d'àudio generals. Aquesta arquitectura està dissenyada per a combinar les propietats d'anàlisi multiresolució de la Transformada Wavelet Discreta amb el Lifting Scheme per construir de manera paramètrica un petit frontend. El nostre objectiu és que aquest frontend requereixi una quantitat mínima de recursos computacionals per ser implementat i entrenat, i que pugui millorar el rendiment de petites Xarxes Neuronals Profundes, sent per tant adequat per a entorns amb recursos limitats. more...
- Published
- 2024
37. De-noising low dose CT images of the ovarian region using modified discrete wavelet transform.
- Author
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Maria, H. Heartlin, Jossy, A. Maria, Malarvizhi, G., and Jenitta, A.
- Subjects
DISCRETE wavelet transforms ,COMPUTED tomography ,MEDICAL screening ,DIAGNOSTIC imaging ,IONIZING radiation ,GABOR filters - Abstract
Computed Tomography (CT) is a medical imaging technique that is being prominently used in the healthcare domain to obtain a detailed view of the body for diagnostic purposes of various diseases. This form of medical imaging is associated with high ionizing radiations that are powerful enough to penetrate through the body to create images on the computer screen. But, multiple exposures to such high dose ionizing radiation could raise the chances of cancer and could be fatal for patients diagnosed with cancer. However, to reduce the radiation dosage associated with CT images, low-dose CT (LDCT) is being used for medical screening in recent days. The United States Preventive Services Task Force guidelines has revealed that LDCT screening reduces the mortality rate of patients and can be considered safe comparatively. But, as radiation dosage is reduced, LDCT images are corrupted with noise and artifacts which affect the visibility of the medical image. This in turn can affect the decision of the radiologists. Therefore, LDCT images are required to be de-noised before being used for diagnosis to improve the image quality and elevate visibility. This work is one such method where a combination of modified Discrete Wavelet Transform (DWT) and Goodness of Fit shrinkage (GoFShrink) thresholding technique is used to denoise the LDCT images to enhance the quality for diagnostic purposes. The modified DWT is associated with a lifting scheme that provides memory for in-place arithmetic operations, flexible factorization of the 2-channel filter banks as well as robustness with exact reversible reconstruction and enhances the performance of the wavelet transform (WT). The PSNR, MSE, SSIM, and SNR values of the de-noised images are calculated and a comparative analysis is performed with the conventional de-noising techniques. A comparative analysis between the various shrinkage techniques is also performed. The simulation results show an increase in PSNR and SNR values when compared with the conventional methods. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
- Full Text
- View/download PDF
38. Hybrid pooling with wavelets for convolutional neural networks.
- Author
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Trevino-Sanchez, Daniel, Alarcon-Aquino, Vicente, Pinto, David, Beltrán, Beatriz, and Singh, Vivek
- Subjects
- *
CONVOLUTIONAL neural networks , *FEATURE extraction , *WAVELET transforms - Abstract
The need to detect and classify objects correctly is a constant challenge, being able to recognize them at different scales and scenarios, sometimes cropped or badly lit is not an easy task. Convolutional neural networks (CNN) have become a widely applied technique since they are completely trainable and suitable to extract features. However, the growing number of convolutional neural networks applications constantly pushes their accuracy improvement. Initially, those improvements involved the use of large datasets, augmentation techniques, and complex algorithms. These methods may have a high computational cost. Nevertheless, feature extraction is known to be the heart of the problem. As a result, other approaches combine different technologies to extract better features to improve the accuracy without the need of more powerful hardware resources. In this paper, we propose a hybrid pooling method that incorporates multiresolution analysis within the CNN layers to reduce the feature map size without losing details. To prevent relevant information from losing during the downsampling process an existing pooling method is combined with wavelet transform technique, keeping those details "alive" and enriching other stages of the CNN. Achieving better quality characteristics improves CNN accuracy. To validate this study, ten pooling methods, including the proposed model, are tested using four benchmark datasets. The results are compared with four of the evaluated methods, which are also considered as the state-of-the-art. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
- Full Text
- View/download PDF
39. Deep image compression with lifting scheme: Wavelet transform domain based on high‐frequency subband prediction.
- Author
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Anju, M. I. and Mohan, J.
- Subjects
IMAGE compression ,WAVELET transforms ,DISCRETE wavelet transforms ,SIGNAL-to-noise ratio ,SEA lions ,ALGORITHMS ,COSINE function - Abstract
Image compression is the most important image processing method extensively deployed in different appliances. "Discrete wavelet transform (DWT)" is one of the well‐adopted transforming methods exploited for compressing images. The extremely deployed version of DWT is convolution‐oriented. Nevertheless, the lifting‐oriented DWT scheme requires more contemplation on more proficient performance and lesser computation cost. This paper intends to propose a deep learning‐based image compression model with a lifting scheme for predicting high‐frequency subbands. Moreover, the fine‐tuning in lifting factorization is done by a new Sea Lion with Averaged Update Evaluation that includes new cosine estimation under the COordinate Rotation DIgital Computer algorithm. Similarly, this study defines a new single objective function that merges the multiconstraints, like, "Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR)". At last, the supremacy of the presented approach is proved with respect to varied measures, like, CR, PSNR and so on. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
- Full Text
- View/download PDF
40. Lifting scheme for streamflow data in river networks.
- Author
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Park, Seoncheol and Oh, Hee‐Seok
- Subjects
STREAM measurements ,WATER pollution ,WATER analysis ,PROBLEM solving - Abstract
This paper presents a new multiscale method for analysing water pollutant data located in river networks. The main idea of the proposed method is to adapt the conventional lifting scheme, reflecting the characteristics of streamflow data in the river network domain. Due to the complexity of the data domain structure, it is difficult to apply the lifting scheme to the streamflow data directly. To solve this problem, we propose a new lifting scheme algorithm for streamflow data that incorporates flow‐adaptive neighbourhood selection, flow proportional weight generation and flow‐length adaptive removal point selection. A nondecimated version of the proposed lifting scheme is also provided. The simulation study demonstrates that the proposed method successfully performs a multiscale analysis of streamflow data. Furthermore, we provide a real data analysis of water pollutant data observed on the Geum‐River basin compared to the existing smoothing method. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
- Full Text
- View/download PDF
41. Graph-Based Wavelet Multiresolution Modeling of Multivariate Terrain Data
- Author
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Cioacă, Teodor, Dumitrescu, Bogdan, Stupariu, Mihai-Sorin, Stanković, Ljubiša, editor, and Sejdić, Ervin, editor
- Published
- 2019
- Full Text
- View/download PDF
42. Wavelets on Graphs via Deep Learning
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Rustamov, Raif M., Guibas, Leonidas J., Stanković, Ljubiša, editor, and Sejdić, Ervin, editor
- Published
- 2019
- Full Text
- View/download PDF
43. Spline-Based Wavelet Transforms
- Author
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Averbuch, Amir Z., Neittaanmäki, Pekka, Zheludev, Valery A., Averbuch, Amir Z., Neittaanmäki, Pekka, and Zheludev, Valery A.
- Published
- 2019
- Full Text
- View/download PDF
44. Numerical solution of linear and nonlinear elliptic partial differential equations using lifting scheme.
- Author
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Shiralashetti, S. C., Kantli, M. H., and Deshi, A. B.
- Subjects
NUMERICAL solutions to boundary value problems ,ELLIPTIC differential equations ,MATHEMATICAL physics ,WAVELETS (Mathematics) ,BOUNDARY value problems ,BIORTHOGONAL systems - Abstract
Wavelet theory is a recently developed promising tool in science and engineering research; particularly wavelets are successfully used in fast algorithms for easy implementation. In this paper, we present wavelet-based numerical solutions of elliptic boundary value problems encountered in mathematical physics, using lifting scheme. Here we used orthogonal and biorthogonal wavelets to demonstrate the effectiveness and efficiency of the proposed technique. The proposed scheme speeds up convergence in lesser computational time. Numerical examples are given to prove the robustness of proposed technique. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
45. Wavelet Lifting Scheme for the Numerical Solution of Dynamic Reynolds Equation for Micropolar Fluid Lubrication.
- Author
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Shiralashetti, S. C., Kantli, M. H., and Deshi, A. B.
- Subjects
REYNOLDS equations ,WAVELETS (Mathematics) ,FLUIDS ,WAVELET transforms - Abstract
Recently, wavelet theory has become a well recognized promising tool in science and engineering field; especially, wavelets are successfully used in fast algorithms for easy execution. In this paper, we developed wavelet lifting scheme using orthogonal and biorthogonal wavelets for the numerical solution of dynamic Reynolds equation for micropolar fluid lubrication. The numerical results gained through proposed scheme are compared with the exact solution to expose the accuracy with speed of convergence in lesser computational time as compared with the existing methods. The examples are given to demonstrate the applicability and attractiveness of proposed method. [ABSTRACT FROM AUTHOR] more...
- Published
- 2021
- Full Text
- View/download PDF
46. Comparative analysis of integer wavelet transforms in reversible data hiding using threshold based histogram modification.
- Author
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Shaik, Ahmad and Thanikaiselvan, V.
- Subjects
WAVELET transforms ,HISTOGRAMS ,COMPARATIVE studies ,ART techniques ,DATA transmission systems ,THRESHOLDING algorithms ,JOB performance ,WAVELETS (Mathematics) - Abstract
In the secured data communication scenario, image based Reversible Data Hiding (RDH) at transform domain is receiving its due popularity now. In research works so far, evaluation of transforms in RDH is very minor compared to that of image coding. Since both the areas deal primarily with integers, the present study takes an appreciable step forward by investigating the utilization of integer-to-integer wavelet transforms that have reversibility, which helped in developing high capacity and robust RDH algorithms. The proposed investigation tends to bridge gaps in the area of data hiding with the available coding transforms. In this work, integer wavelet transforms like Haar, 5/3, 2/6, 9/7-M, 2/10, 5/11-C, 5/11-A, 6/14, 13/7-T, 13/7-C and 9/7-F are evaluated using a generalized threshold-based histogram shifting technique. This work compares the performance of all integer wavelet transforms and other state of the art techniques with respect to their embedding capacity and image visual quality. This analysis leads to a better understanding of the relationship between the embedding capacity and the stego image quality whenever different wavelets were utilized. [ABSTRACT FROM AUTHOR] more...
- Published
- 2021
- Full Text
- View/download PDF
47. Lifting Based Object Detection Networks of Remote Sensing Imagery for FPGA Accelerator
- Author
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Yujin Zheng, Zishan Shi, Chu He, and Qinglin Zhang
- Subjects
Lifting scheme ,object detection network ,hardware accelerator ,FPGA ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
The on-board object detection of remote sensing images is of great significance and challenges in both military and civilian fields. To achieved on-board object detection, we require a high-performance and low power hardware architecture. Inspired by the hardware implementation advantages of the lifting scheme in JPEG2000, we introduce the lifting scheme into object detection networks to promote the hardware implementation capability. Based on the equivalence between the lifting scheme and the convolution, we proposed a lifting based FPGA accelerator. The lifting scheme provides a parallel strategy for every convolutional layer to obtain high performance, and high resource utilization. The proposed accelerator can improve the throughput of networks, and promote the utilization efficiency of hardware resources. The experimental results on lifting based YOLOv3-tiny (LS-YOLOv3-tiny) show that the proposed accelerator has better power efficiency than other hardware implementation, and have better DSP efficiency than other FPGA-based designs. more...
- Published
- 2020
- Full Text
- View/download PDF
48. Wavelets on Arbitrary Manifolds
- Author
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Mehra, Mani, Chaubey, Yogendra Prasad, Editorial Board Member, Subrahmanyam, P. V., Editor-in-Chief, Matkowski, Janusz, Editorial Board Member, Parthasarathy, Thiruvenkatachari, Editorial Board Member, Sikirić, Mathieu Dutour, Editorial Board Member, Sharma, Bhu Dev, Editorial Board Member, and Mehra, Mani more...
- Published
- 2018
- Full Text
- View/download PDF
49. Intelligent System Approach to Real-Time Video Denoising Using Lifting-Based Wavelet Technique
- Author
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Veeranath, P., Nagendra Rao, D., Vathsal, S., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Dash, Subhransu Sekhar, editor, Das, Swagatam, editor, and Panigrahi, Bijaya Ketan, editor more...
- Published
- 2018
- Full Text
- View/download PDF
50. Compression of Medical Images Using Lifting Scheme Based Bi-orthogonal CDF Wavelet Coupled with Modified Set Partitioning in Hierarchical Trees (SPIHT) Algorithm
- Author
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Koshti, Surekha S., Kendule, Jyoti A., Pawar, Prashant M., editor, Ronge, Babruvahan P., editor, Balasubramaniam, R., editor, and Seshabhattar, Sridevi, editor
- Published
- 2018
- Full Text
- View/download PDF
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