195 results on '"adaptive lifting scheme"'
Search Results
152. A deep interactive segmentation method with user interaction-based attention module and polar transformation.
- Author
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Osten, Wolfgang, Nikolaev, Dmitry P., Sun, Jee-Young, Lee, Sang-Won, Kim, Ye-Won, Kim, Bo-Sang, and Ko, Sung-Jea
- Published
- 2020
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153. Adaptive Multi-Scale Wavelet Neural Network for Time Series Classification.
- Author
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Ouyang, Kewei, Hou, Yi, Zhou, Shilin, and Zhang, Ye
- Subjects
TIME series analysis ,CONVOLUTIONAL neural networks ,WAVELET transforms ,CLASSIFICATION ,FORECASTING - Abstract
Wavelet transform is a well-known multi-resolution tool to analyze the time series in the time-frequency domain. Wavelet basis is diverse but predefined by manual without taking the data into the consideration. Hence, it is a great challenge to select an appropriate wavelet basis to separate the low and high frequency components for the task on the hand. Inspired by the lifting scheme in the second-generation wavelet, the updater and predictor are learned directly from the time series to separate the low and high frequency components of the time series. An adaptive multi-scale wavelet neural network (AMSW-NN) is proposed for time series classification in this paper. First, candidate frequency decompositions are obtained by a multi-scale convolutional neural network in conjunction with a depthwise convolutional neural network. Then, a selector is used to choose the optimal frequency decomposition from the candidates. At last, the optimal frequency decomposition is fed to a classification network to predict the label. A comprehensive experiment is performed on the UCR archive. The results demonstrate that, compared with the classical wavelet transform, AMSW-NN could improve the performance based on different classification networks. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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154. Lifting Scheme-Based Sparse Density Feature Extraction for Remote Sensing Target Detection.
- Author
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Tian, Ling, Cao, Yu, Shi, Zishan, He, Bokun, He, Chu, Li, Deshi, and Vivone, Gemine
- Subjects
REMOTE sensing ,FEATURE extraction ,DENSITY ,COMPUTATIONAL complexity - Abstract
The design of backbones is of great significance for enhancing the location and classification precision in the remote sensing target detection task. Recently, various approaches have been proposed on altering the feature extraction density in the backbones to enlarge the receptive field, make features prominent, and reduce computational complexity, such as dilated convolution and deformable convolution. Among them, one of the most widely used methods is strided convolution, but it loses the information about adjacent feature points which leads to the omission of some useful features and the decrease of detection precision. This paper proposes a novel sparse density feature extraction method based on the relationship between the lifting scheme and convolution, which improves the detection precision while keeping the computational complexity almost the same as the strided convolution. Experimental results on remote sensing target detection indicate that our proposed method improves both detection performance and network efficiency. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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155. Calcification Classification In Mammograms Using Decision Trees
- Author
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S. Usha and S. Arumugam
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Breast Cancer ,Mammogram ,Decision Trees ,Symlet Wavelets ,Gabor Filters - Abstract
Cancer affects people globally with breast cancer being a leading killer. Breast cancer is due to the uncontrollable multiplication of cells resulting in a tumour or neoplasm. Tumours are called ‘benign’ when cancerous cells do not ravage other body tissues and ‘malignant’ if they do so. As mammography is an effective breast cancer detection tool at an early stage which is the most treatable stage it is the primary imaging modality for screening and diagnosis of this cancer type. This paper presents an automatic mammogram classification technique using wavelet and Gabor filter. Correlation feature selection is used to reduce the feature set and selected features are classified using different decision trees., {"references":["Majumder, R., Chaudhuri, B., Ghosh, A., Ledwich, G., & Zare, F. Howlader N, Noone AM, Krapcho M, Neyman N, Aminou R, et al. SEER Cancer Statistics Review, 1975-2009. National Cancer Institute. http://seer.cancer.gov/csr/1975_2009_pops09","Curtis, C., Shah, S. P., Chin, S. F., Turashvili, G., Rueda, O. M., Dunning, M. J., & Aparicio, S. (2012). The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature, 486(7403), 346-352.","Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., & Botstein, D. (2000). Molecular portraits of human breast tumours. Nature, 406(6797), 747-752.","Tang, J., Rangayyan, R. M., Xu, J., El Naqa, I., & Yang, Y. (2009). Computer-aided detection and diagnosis of breast cancer with mammography: recent advances. Information Technology in Biomedicine, IEEE Transactions on, 13(2), 236-251.","Virnig, B. A., Tuttle, T. M., Shamliyan, T., & Kane, R. L. (2010). Ductal carcinoma in situ of the breast: a systematic review of incidence, treatment, and outcomes. Journal of the National Cancer Institute, 102(3), 170-178.","Wasif, N., Maggard, M. A., Ko, C. Y., & Giuliano, A. E. (2010). Invasive lobular vs. ductal breast cancer: a stage-matched comparison of outcomes. Annals of surgical oncology, 17(7), 1862-1869.","S. Liu, C. F. Babbs, E. Delp, \"Multiresolution detection of spiculated lesions in digital mammograms\", IEEE Transactions on Image Processing 10 (6), 2001,pp. 874–884.","E. A. Rashed, I. A. Ismail, S. I. Zaki., \"Multiresolution mammogram analysis in multilevel decomposition\". Pattern Recognition Letters 28, 2007, pp.286–292.","A. Oliver, Automatic mass segmentation in mammographic images. PhD thesis, Universitat de Girona (2004)\n[10]\tCampos, L. F. A. ; Barros, A. K. ; Silva, A. C. \"Independent Component Analysis and Neural Networks Applied for Classification of Malignant, Benign and Normal Tissue in Digital Mammography\", In: Special Issue - Methods of Information in Medicine, v. 46, p. 212-215, 2007.\n[11]\tBraz , G. Jr., E. C. Silva, A. C. Paiva and A. C. Silva, \"Breast Tissues Classification Based on the Application of Geostatistical Features and Wavelet Transform\", In: International Special Topic Conference on Information Technology Applications in Biomedicine, ITAB 2007, 6th, 227-230, 2007.\n[12]\tDomínguez, A. Rojas. Nandi, A. K. \"Detection of masses in mammograms using enhanced multilevel thresholding segmentation and region selection based on rank\", In: Proceedings of the fifth conference on Proceeding of the Fifth IASTED International Conference: biomedical engineering. 2007\n[13]\tCampos, L. F. A.; Costa, D. D.; Barros, A. K. \"Segmentation on Breast Cancer Using Texture Features and Independent Component Analysis\", In: Bioinspired Cognitive Systems, BICS 2008.\n[14]\tSuckling, J. et al. (1994). The mammographic image analysis society digital mammogram database, International Congress Series 1069 pp. 375–378.\n[15]\tRamanathan, R., Kalaiarasi, K., & Prabha, D. (2013). Improved wavelet based compression with adaptive lifting scheme using Artificial Bee Colony algorithm. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(4), pp-1549. \n[16]\tJ.G. Daugman, \"Complete Discrete 2-D Gabor Transforms by Neural Networks for Image Analysis and Compression,\" IEEE Transactions on Acoustics, Speech, Signal Processing, vol. 36, no. 7, pp. 1169-1179, 1988\n[17]\tWei, C. H., Li, Y., & Li, C. T. (2007, July). Effective extraction of Gabor features for adaptive mammogram retrieval. In Multimedia and Expo, 2007 IEEE International Conference on (pp. 1503-1506). IEEE.\n[18]\tGuyon, I., & Elisseeff, A. (2003). An introduction to variable and feature selection. The Journal of Machine Learning Research, 3, 1157-1182.\n[19]\tPedersen, T. (2001, June). A decision tree of bigrams is an accurate predictor of word sense. In Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies (pp. 1-8). Association for Computational Linguistics.\n[20]\tR. Holte. 1993. Very simple classification rules perform well on most commonly used datasets. Machine Learning, 11:63{91.\n[21]\tZhang, Y., Zhao, Y., A Comparison of BBN, ADTree and MLP in separating Quasars from Large Survey Catalogues, ChJAA 7, 289-296, 2007.\n[22]\tGanesan, K., Acharya, U. R., Chua, C. K., Min, L. C., & Abraham, T. K. (2014). Automated diagnosis of mammogram images of breast cancer using discrete wavelet transform and spherical wavelet transform features: A comparative Study. Technology in cancer research & treatment, 13(6), 605-615."]}
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- 2016
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156. Lifting Scheme-Based Deep Neural Network for Remote Sensing Scene Classification.
- Author
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He, Chu, Shi, Zishan, Qu, Tao, Wang, Dingwen, and Liao, Mingsheng
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REMOTE sensing ,ARTIFICIAL neural networks ,FILTER banks ,WEIGHT lifting ,WAVELET transforms - Abstract
Recently, convolutional neural networks (CNNs) achieve impressive results on remote sensing scene classification, which is a fundamental problem for scene semantic understanding. However, convolution, the most essential operation in CNNs, restricts the development of CNN-based methods for scene classification. Convolution is not efficient enough for high-resolution remote sensing images and limited in extracting discriminative features due to its linearity. Thus, there has been growing interest in improving the convolutional layer. The hardware implementation of the JPEG2000 standard relies on the lifting scheme to perform wavelet transform (WT). Compared with the convolution-based two-channel filter bank method of WT, the lifting scheme is faster, taking up less storage and having the ability of nonlinear transformation. Therefore, the lifting scheme can be regarded as a better alternative implementation for convolution in vanilla CNNs. This paper introduces the lifting scheme into deep learning and addresses the problems that only fixed and finite wavelet bases can be replaced by the lifting scheme, and the parameters cannot be updated through backpropagation. This paper proves that any convolutional layer in vanilla CNNs can be substituted by an equivalent lifting scheme. A lifting scheme-based deep neural network (LSNet) is presented to promote network applications on computational-limited platforms and utilize the nonlinearity of the lifting scheme to enhance performance. LSNet is validated on the CIFAR-100 dataset and the overall accuracies increase by 2.48% and 1.38% in the 1D and 2D experiments respectively. Experimental results on the AID which is one of the newest remote sensing scene dataset demonstrate that 1D LSNet and 2D LSNet achieve 2.05% and 0.45% accuracy improvement compared with the vanilla CNNs respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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157. Dual Model Medical Invoices Recognition.
- Author
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Yi, Fei, Zhao, Yi-Fei, Sheng, Guan-Qun, Xie, Kai, Wen, Chang, Tang, Xin-Gong, and Qi, Xuan
- Subjects
ARTIFICIAL neural networks ,RECURRENT neural networks ,INVOICES ,CONVOLUTIONAL neural networks - Abstract
Hospitals need to invest a lot of manpower to manually input the contents of medical invoices (nearly 300,000,000 medical invoices a year) into the medical system. In order to help the hospital save money and stabilize work efficiency, this paper designed a system to complete the complicated work using a Gaussian blur and smoothing–convolutional neural network combined with a recurrent neural network (GBS-CR) method. Gaussian blur and smoothing (GBS) is a novel preprocessing method that can fix the breakpoint font in medical invoices. The combination of convolutional neural network (CNN) and recurrent neural network (RNN) was used to raise the recognition rate of the breakpoint font in medical invoices. RNN was designed to be the semantic revision module. In the aspect of image preprocessing, Gaussian blur and smoothing were used to fix the breakpoint font. In the period of making the self-built dataset, a certain proportion of the breakpoint font (the font of breakpoint is 3, the original font is 7) was added, in this paper, so as to optimize the Alexnet–Adam–CNN (AA-CNN) model, which is more suitable for the recognition of the breakpoint font than the traditional CNN model. In terms of the identification methods, we not only adopted the optimized AA-CNN for identification, but also combined RNN to carry out the semantic revisions of the identified results of CNN, meanwhile further improving the recognition rate of the medical invoices. The experimental results show that compared with the state-of-art invoice recognition method, the method presented in this paper has an average increase of 10 to 15 percentage points in recognition rate. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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158. Adaptive lifting for shape-based image retrieval
- Subjects
lifting scheme ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Neville filters ,moment invariants ,adaptive scheme ,Image retrieval ,feature vectors ,affine transformations - Abstract
We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detection and multiresolution structures of objects in a database against a background of texture. To measure the performance of our approach, feature vectors are computed based on moment invariants of detail coefficients produced by the adaptive lifting scheme and retrieval rates are obtained by measuring distances between these vectors. Retrieval rates are compared with the rates obtained when using non-adaptive wavelet filtering as a preprocessing step. A synthetic database is created for this simulation.
- Published
- 2003
159. Face Recognition Using the SR-CNN Model.
- Author
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Yang, Yu-Xin, Wen, Chang, Xie, Kai, Wen, Fang-Qing, Sheng, Guan-Qun, and Tang, Xin-Gong
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HUMAN facial recognition software ,IMAGE recognition (Computer vision) ,OPTICAL pattern recognition ,IMAGE registration ,OBJECT recognition (Computer vision) - Abstract
In order to solve the problem of face recognition in complex environments being vulnerable to illumination change, object rotation, occlusion, and so on, which leads to the imprecision of target position, a face recognition algorithm with multi-feature fusion is proposed. This study presents a new robust face-matching method named SR-CNN, combining the rotation-invariant texture feature (RITF) vector, the scale-invariant feature transform (SIFT) vector, and the convolution neural network (CNN). Furthermore, a graphics processing unit (GPU) is used to parallelize the model for an optimal computational performance. The Labeled Faces in the Wild (LFW) database and self-collection face database were selected for experiments. It turns out that the true positive rate is improved by 10.97–13.24% and the acceleration ratio (the ratio between central processing unit (CPU) operation time and GPU time) is 5–6 times for the LFW face database. For the self-collection, the true positive rate increased by 12.65–15.31%, and the acceleration ratio improved by a factor of 6–7. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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160. Image denoising by adaptive lifting schemes
- Author
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Marco Cagnazzo, Beatrice Pesquet-Popescu, M. Abid, Télécom Paristech, Admin, Laboratoire Traitement et Communication de l'Information (LTCI), and Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Lifting scheme ,Noise reduction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,Data_CODINGANDINFORMATIONTHEORY ,Signal ,Wavelet ,adaptive wavelet ,ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION ,0202 electrical engineering, electronic engineering, information engineering ,Mathematics ,ComputingMethodologies_COMPUTERGRAPHICS ,Denoising ,[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM] ,business.industry ,Noise (signal processing) ,[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] ,Wavelet transform ,020206 networking & telecommunications ,Pattern recognition ,Non-local means ,ComputingMethodologies_PATTERNRECOGNITION ,Computer Science::Sound ,Computer Science::Computer Vision and Pattern Recognition ,020201 artificial intelligence & image processing ,Video denoising ,Artificial intelligence ,business - Abstract
In this paper, we study the problem of image denoising by using an adaptive lifting scheme. Such a scheme can adapt itself well to the analyzed signal, which allows to keep important information for denoising applications. However, it results in a non-isometric transform which can be an important limitation as most of the denoising approaches rely on the estimation of the noise energy in the subbands. In a previous work, it has been shown how to evaluate the subband energies of an uncorrelated signal, in the wavelet domain when using such an adaptive scheme. Based on this previous work, we propose in this paper an estimation of the noise energies in the subband and use it to perform image denoising. Experimental results illustrate that this approach is more effective, in image denoising, than the classical non adaptive lifting schemes both considering perceptual and non perceptual image quality measures.
- Published
- 2010
161. Image and speech signal enhancement in time-frequency domain via adaptive lifting structures
- Author
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Taşmaz, Haci, Erçelebi, Ergun, and Elektrik-Elektronik Mühendisliği Anabilim Dalı
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Elektrik ve Elektronik Mühendisliği ,Electrical and Electronics Engineering - Abstract
Bu tezde, çeşitli gürültü ortamları için uyarlamalı kaldıraç yapıları kullanılarak konuşma ve görüntü pekiştirme problemi ele alınmaktadır. Tek boyutlu (konuşma) ve iki boyutlu (görüntü) işaretler için yeni bir uzam uyarlamalı kaldıraç yapısı önerilmektedir. Uzam uyarlamalı kaldıraç yapıları daha iyi bir işaret temsili ve daha iyi pekiştirme sonuçları sağlar. Önerilen konuşma pekiştirme yöntemi, pekiştirilen konuşma işaretinin kalitesini ve anlaşılabilirliğini geliştirmek için gürültüyü ayırmayı amaçlar. Pekiştirilen konuşma işaretinin kalitesini arttırmak için, bir işitsel model (Kritik Bandlar) önerilen konuşma pekiştirme metoduyla bütünleştirilmektedir. Altband konuşma pekiştirmesi için pratik olduklarından tek kanallı konuşma pekiştirme kestirimcileri kullanılmaktadır. Önerilen görüntü pekiştirme yöntemi uzam uyarlamalı iki boyutlu kaldıraç yapısına dayanmaktadır. Önerilen görüntü pekiştirme yönteminin amacı, görüntünün önemli detaylarını korurken gürültüyü ayırmaktır. Gri-düzeyi gürültülü görüntüler, önerilen iki boyutlu uzam uyarlamalı kaldıraç yapısı algoritması kullanılarak altbandlara ayrıştırılmıştır. Altband görüntü pekiştirmesi için uzamsal bölge kestirimcileri ve dalgacık eşik temelli kestirimciler kullanılmaktadır. Deneysel ve objektif değerlendirme sonuçları önerilen konuşma ve görüntü pekiştirme yönteminin başarısını göstermektedir.Anahtar kelimeler: konuşma pekiştirme, uzam-uyarlamalı kaldıraç, dalgacık, kritik band çözümlemesi, tek kanallı kestirimci, görüntü pekiştirme. This thesis addresses the problem of image and speech enhancement for various noise environments using adaptive lifting schemes. A new space adaptive lifting scheme algorithm is proposed for 1-D (speech) and 2-D (image) signals. The space adaptive lifting schemes provide better signal representation and better enhancement results. The proposed speech enhancement method aims to remove the noise in order to improve the quality and the intelligibility of the enhanced speech signal. In order to improve the quality of the enhanced speech signal, an auditory model (Critical Bands) is integrated with the proposed speech enhancement method. The single channel estimators are employed for subbband speech enhancement since they are practical. The proposed image enhancement method is based on space adaptive 2-D lifting scheme. The aim of proposed image enhancement method is to remove the noise while retaining significant features of the image.The gray-level noisy images are decomposed into subbands using the proposed space adaptive 2-D lifting scheme algorithm. Spatial domain estimators and wavelet thresholding-based estimators are used for subband image enhancement. The experimental and objective evaluation results show the performance of proposed speech and image enhancement methods.Keywords: speech enhancement, space-adaptive lifting, wavelet, critical band analysis, single channel estimators, image enhancement. 130
- Published
- 2009
162. Self adaptive multi-scale morphology AVG-Hat filter and its application to fault feature extraction for wheel bearing.
- Author
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Feiyue Deng, Shaopu Yang, Guiji Tang, Rujiang Hao, and Mingliang Zhang
- Subjects
MACHINE bearing maintenance & repair ,FAULT diagnosis ,ACOUSTIC emission - Abstract
Wheel bearings are essential mechanical components of trains, and fault detection of the wheel bearing is of great significant to avoid economic loss and casualty effectively. However, considering the operating conditions, detection and extraction of the fault features hidden in the heavy noise of the vibration signal have become a challenging task. Therefore, a novel method called adaptive multi-scale AVG-Hat morphology filter (MF) is proposed to solve it. The morphology AVG-Hat operator not only can suppress the interference of the strong background noise greatly, but also enhance the ability of extracting fault features. The improved envelope spectrum sparsity (IESS), as a new evaluation index, is proposed to select the optimal filtering signal processed by the multi-scale AVG-Hat MF. It can present a comprehensive evaluation about the intensity of fault impulse to the background noise. The weighted coefficients of the different scale structural elements (SEs) in the multi-scale MF are adaptively determined by the particle swarm optimization (PSO) algorithm. The effectiveness of the method is validated by analyzing the real wheel bearing fault vibration signal (e.g. outer race fault, inner race fault and rolling element fault). The results show that the proposed method could improve the performance in the extraction of fault features effectively compared with the multi-scale combined morphological filter (CMF) and multi-scale morphology gradient filter (MGF) methods. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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163. Weighted Adaptive Lifting-Basedwavelet Transform.
- Author
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Yu Liu and King Ngi Ngan
- Published
- 2007
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164. Adaptive discrete generalized lifting for lossless compression.
- Author
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Sole, J. and Salembier, P.
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- 2004
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165. Total variation improved wavelet thresholding in image compression.
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Chan, T.F. and Zhou, H.M.
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- 2000
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166. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXVII
- Author
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
- Published
- 2024
167. Ophthalmic Medical Image Analysis : 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings
- Author
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Bhavna Antony, Huazhu Fu, Cecilia S. Lee, Tom MacGillivray, Yanwu Xu, Yalin Zheng, Bhavna Antony, Huazhu Fu, Cecilia S. Lee, Tom MacGillivray, Yanwu Xu, and Yalin Zheng
- Subjects
- Computer vision
- Abstract
This book constitutes the refereed proceedings of the 9th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022.The 20 papers presented at OMIA 2022 were carefully reviewed and selected from 33 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.
- Published
- 2022
168. Computer Vision – ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXV
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Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, and Tal Hassner
- Subjects
- Computer vision
- Abstract
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
- Published
- 2022
169. Wavelets From a Statistical Perspective
- Author
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Maarten Jansen and Maarten Jansen
- Subjects
- Wavelets (Mathematics), Statistics
- Abstract
Wavelets from a Statistical Perspective offers a modern, 2nd generation look on wavelets, far beyond the rigid setting of the equispaced, dyadic wavelets in the early days. With the methods of this book, based on the lifting scheme, researchers can set up a wavelet or another multiresolution analysis adapted to their data, ranging from images to scattered data or other irregularly spaced observations. Whereas classical wavelets stand a bit apart from other nonparametric methods, this book adds a multiscale touch to your spline, kernel or local polynomial smoothing procedure, thereby extending its applicability to nonlinear, nonparametric processing for piecewise smooth data.One of the chapters of the book constructs B-spline wavelets on nonequispaced knots and multiscale local polynomial transforms. In another chapter, the link between wavelets and Fourier analysis, ubiquitous in the classical approach, is explained, but without being inevitable. In further chapters the discrete wavelet transform is contrasted with the continuous version, the nondecimated (or maximal overlap) transform taking an intermediate position. An important principle in designing a wavelet analysis through the lifting scheme is finding the right balance between bias and variance. Bias and variance also play a crucial role in the nonparametric smoothing in a wavelet framework, in finding well working thresholds or other smoothing parameters. The numerous illustrations can be reproduced with the online available, accompanying software. The software and the exercises can also be used as a starting point in the further exploration of the material.
- Published
- 2022
170. Biometric Security and Privacy : Opportunities & Challenges in The Big Data Era
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Richard Jiang, Somaya Al-maadeed, Ahmed Bouridane, Prof. Danny Crookes, Azeddine Beghdadi, Richard Jiang, Somaya Al-maadeed, Ahmed Bouridane, Prof. Danny Crookes, and Azeddine Beghdadi
- Subjects
- Artificial intelligence, Biometric identification, Big data
- Abstract
This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.
- Published
- 2017
171. Frontier Computing : Theory, Technologies and Applications
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Jason C Hung, Neil Y. Yen, Kuan-Ching Li, Jason C Hung, Neil Y. Yen, and Kuan-Ching Li
- Subjects
- Information technology--Congresses, Databases--Congresses, Computer science--Congresses
- Abstract
This volume contains the proceedings of the 4th International Conference on Frontier Computing (FC 2015), Bangkok, Thailand, September 9-11, 2015, and brings together state-of-the-art results covering many aspects of emerging computer science and information technology from international academic and industrial researchers. FC 2015 aimed at providing an open forum to reach a comprehensive understanding of the recent advances and developing trends in information technology, computer science and engineering, with themes under the scope of communication networks, business intelligence and knowledge management, web intelligence, and any related fields that prompt the development of information technology. Contributions cover a wide spectrum of topics: database and data mining, networking and communications, web and internet of things, embedded system, soft computing, social network analysis, security and privacy, optics communication, and ubiquitous/pervasive computing. Many papers have shown great academic potential and value, and in addition indicate promising directions of research in the focused realm of this conference series. Readers, including students, researchers, and industry professionals, will benefit from the results presented in this book, and it provides indicators for emerging trends for those starting their research careers.
- Published
- 2016
172. Digital Holographic Data Representation and Compression
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Yafei Xing, Mounir Kaaniche, Béatrice Pesquet-Popescu, Frédéric Dufaux, Yafei Xing, Mounir Kaaniche, Béatrice Pesquet-Popescu, and Frédéric Dufaux
- Subjects
- Data compression (Computer science), Holography--Data processing, Image processing--Digital techniques
- Abstract
With the increasing interest in holography for 3D imaging applications, there is a need to develop and use hologram compression techniques for the efficient storage and transmission of holographic data. This book gives a broad overview of the state-of-the-art techniques for the efficient compression and representation of digital holographic data, addressing both still and moving data sequences. - An Introduction to the principles of digital holography - A critical analysis of the techniques that have been developed - Coverage of the most recent research results - A summary of future research challenges
- Published
- 2016
173. Pattern Recognition and Image Analysis : 7th Iberian Conference, IbPRIA 2015, Santiago De Compostela, Spain, June 17-19, 2015, Proceedings
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Roberto Paredes, Jaime S. Cardoso, Xosé M. Pardo, Roberto Paredes, Jaime S. Cardoso, and Xosé M. Pardo
- Subjects
- Pattern recognition systems, Image processing—Digital techniques, Computer vision, Natural language processing (Computer science), Computer graphics, Artificial intelligence
- Abstract
This book constitutes the proceedings of the 7th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2015, held in Santiage de Compostela, Spain, in June 2015. The 83 papers presented in this volume were carefully reviewed and selected from 141 submissions. They were organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; Applications; Medical Image; Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; and Applications
- Published
- 2015
174. Image Analysis and Processing — ICIAP 2015 : 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II
- Author
-
Vittorio Murino, Enrico Puppo, Vittorio Murino, and Enrico Puppo
- Subjects
- Computer vision
- Abstract
The two-volume set LNCS 9279 and 9280 constitutes the refereed proceedings of the 18th International Conference on Image Analysis and Processing, ICIAP 2015, held in Genoa, Italy, in September 2015. The 129 papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in the following seven topical sections: video analysis and understanding, multiview geometry and 3D computer vision, pattern recognition and machine learning, image analysis, detection and recognition, shape analysis and modeling, multimedia, and biomedical applications.
- Published
- 2015
175. Computer Analysis of Images and Patterns : 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II
- Author
-
George Azzopardi, Nicolai Petkov, George Azzopardi, and Nicolai Petkov
- Subjects
- Artificial intelligence, Application software, Computer science, Database management, Information storage and retrieval systems, Image processing—Digital techniques, Computer vision
- Abstract
The two volume set LNCS 9256 and 9257 constitutes the refereed proceedings of the 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, held in Valletta, Malta, in September 2015. The 138 papers presented were carefully reviewed and selected from numerous submissions. CAIP 2015 is the sixteenth in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields.
- Published
- 2015
176. Advances in Visual Data Compression and Communication : Meeting the Requirements of New Applications
- Author
-
Feng Wu and Feng Wu
- Subjects
- Image compression
- Abstract
This book provides a theoretical and technical basis for advanced research on visual data compression and communication. It presents the results of the author's research on visual data compression and transmission. Studying scalable video coding (SVC), it considers the fundamental problem to be solved in SVC-motion compensation. It explores directional transforms, extends the current coding framework by visual synthesis and reconstruction, and explains how to apply compressive sensing to solve the compression problems in transmission. It also develops the pseudo-analog transmission for image and video.
- Published
- 2015
177. Pattern Recognition : 6th Mexican Conference, MCPR 2014, Cancun, Mexico, June 25-28, 2014. Proceedings
- Author
-
Jose Francisco Martinez-Trinidad, Jesús Ariel Carrasco-Ochoa, Jose Arturo Olvera-López, Joaquín Salas-Rodríguez, Ching Y. Suen, Jose Francisco Martinez-Trinidad, Jesús Ariel Carrasco-Ochoa, Jose Arturo Olvera-López, Joaquín Salas-Rodríguez, and Ching Y. Suen
- Subjects
- Pattern recognition systems, Artificial intelligence, Computer vision
- Abstract
This book constitutes the refereed proceedings of the 6th Mexican Conference on Pattern Recognition, MCPR 2014, held in Cancun, Mexico, in June 2014. The 39 revised full papers presented were carefully reviewed and selected from 68 submissions and are organized in topical sections on pattern recognition and artificial intelligence; computer vision; image processing and analysis; animal biometric recognition and applications of pattern recognition.
- Published
- 2014
178. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014, Proceedings
- Author
-
Eduardo Bayro-Corrochano, Edwin Hancock, Eduardo Bayro-Corrochano, and Edwin Hancock
- Subjects
- Pattern recognition systems, Computer vision, Artificial intelligence, Biometric identification, Algorithms, Application software
- Abstract
This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The 115 papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural networks for pattern recognition; computer vision and robot vision; video segmentation and tracking.
- Published
- 2014
179. Manufacturing Technology, Electronics, Computer and Information Technology Applications
- Author
-
Zhang Lin, Hong Ying Hu, Ya Jun Zhang, Jian Guo Qiao, Jia Min Xu, Zhang Lin, Hong Ying Hu, Ya Jun Zhang, Jian Guo Qiao, and Jia Min Xu
- Subjects
- Chemical engineering, Chemistry, Engineering, Industrial engineering, Mechanical engineering, Physics, Science
- Abstract
Selected, peer reviewed papers from the 2014 International Conference on Manufacturing Technology and Electronics Applications (ICMTEA 2014), November 8-9, 2014, Taiyuan, Shanxi, China
- Published
- 2014
180. Recent Progress in Data Engineering and Internet Technology : Volume 1
- Author
-
Ford Lumban Gaol and Ford Lumban Gaol
- Subjects
- Information technology--Congresses, Database management--Congresses, Data mining--Congresses, Internet--Congresses
- Abstract
The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing. This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accountsin computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.
- Published
- 2013
181. Computer Networks & Communications (NetCom) : Proceedings of the Fourth International Conference on Networks & Communications
- Author
-
Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Nabendu Chaki, Natarajan Meghanathan, and Dhinaharan Nagamalai
- Subjects
- Computer networks--Congresses
- Abstract
Computer Networks & Communications (NetCom) is the proceedings from the Fourth International Conference on Networks & Communications. This book covers theory, methodology and applications of computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings will feature peer-reviewed papers that illustrate research results, projects, surveys and industrial experiences that describe significant advances in the diverse areas of computer networks & communications.
- Published
- 2013
182. 3D-TV System with Depth-Image-Based Rendering : Architectures, Techniques and Challenges
- Author
-
Ce Zhu, Yin Zhao, Lu Yu, Masayuki Tanimoto, Ce Zhu, Yin Zhao, Lu Yu, and Masayuki Tanimoto
- Subjects
- Multimedia systems, Computer vision, 3-D television, Image processing--Digital techniques
- Abstract
Riding on the success of 3D cinema blockbusters and advances in stereoscopic display technology, 3D video applications have gathered momentum in recent years. 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges surveys depth-image-based 3D-TV systems, which are expected to be put into applications in the near future. Depth-image-based rendering (DIBR) significantly enhances the 3D visual experience compared to stereoscopic systems currently in use. DIBR techniques make it possible to generate additional viewpoints using 3D warping techniques to adjust the perceived depth of stereoscopic videos and provide for auto-stereoscopic displays that do not require glasses for viewing the 3D image. The material includes a technical review and literature survey of components and complete systems, solutions for technical issues, and implementation of prototypes. The book is organized into four sections: System Overview, Content Generation, Data Compression and Transmission, and 3D Visualization and Quality Assessment. This book will benefit researchers, developers, engineers, and innovators, as well as advanced undergraduate and graduate students working in relevant areas.
- Published
- 2013
183. Computer and Computing Technologies in Agriculture : 5th IFIP TC 5, SIG 5.1 International Conference, CCTA 2011, Beijing, China, October 29-31, 2011, Proceedings, Part III
- Author
-
Daoliang Li, Yingyi Chen, Daoliang Li, and Yingyi Chen
- Subjects
- Artificial intelligence, Application software, Computers, Special purpose, Computer networks, Software engineering, Computer simulation
- Abstract
The three-volume set IFIP AICT 368-370 constitutes the refereed post-conference proceedings of the 5th IFIP TC 5, SIG 5.1 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2011, held in Beijing, China, in October 2011. The 189 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture, and universal information service technology and service systems development in rural areas. The 59 papers included in the third volume focus on simulation, optimization, monitoring, and control technology.
- Published
- 2012
184. Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine
- Author
-
author unknown and author unknown
- Subjects
- Computational intelligence, Evolutionary computation
- Abstract
'This book explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively to address complicated real-world problems'--Provided by publisher.
- Published
- 2012
185. Clinical Technologies: Concepts, Methodologies, Tools and Applications
- Author
-
author unknown and author unknown
- Subjects
- Medical technology
- Abstract
'This multi-volume book delves into the many applications of information technology ranging from digitizing patient records to high-performance computing, to medical imaging and diagnostic technologies, and much more'--
- Published
- 2011
186. Computer Vision Systems : 8th International Conference, ICVS 2011, Sophia Antipolis, France, September 20-22, 2011, Proceedings
- Author
-
James L. Crowley, Bruce Draper, Monique Thonnat, James L. Crowley, Bruce Draper, and Monique Thonnat
- Subjects
- Image processing—Digital techniques, Computer vision, Pattern recognition systems, Computer graphics, User interfaces (Computer systems), Human-computer interaction, Artificial intelligence
- Abstract
This book constitutes the refereed proceedings of the 8th International Conference on Computer Vision Systems, ICVS 2011, held in Sophia Antipolis, France, in September 2009. The 22 revised papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on vision systems, control of perception, performance evaluation, activity recognition, and knowledge directed vision.
- Published
- 2011
187. Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives
- Author
-
author unknown and author unknown
- Subjects
- Medicine--Information services, Wireless communication systems, Medical informatics, Telecommunication in medicine, Internet in medicine
- Abstract
'This book provide a comprehensive coverage of the latest and most relevant knowledge, developments, solutions, and practical applications, related to e-Health, this new field of knowledge able to transform the way we live and deliver services, both from the technological and social perspectives'--Provided by publisher.
- Published
- 2010
188. Protective Relaying of Power Systems Using Mathematical Morphology
- Author
-
Q.H. Wu, Zhen Lu, Tianyao Ji, Q.H. Wu, Zhen Lu, and Tianyao Ji
- Subjects
- Protective relays--Mathematics
- Abstract
The basic operating principles of the most common types of protection relays have not changed for more than half a century. However, the calculations used to measure power system fault signals continue to cause problems with relay performance. As a result, there is a need for developing a next generation of protection relays which are more accurate, more reliable and faster than the conventional relays. Protective Relaying of Power Systems Using Mathematical Morphology discusses the development of novel protective relaying algorithms using Mathematical Morphology (MM). MM is a nonlinear signal processing technique derived from set theory and geometry. It analyses signals in terms of shape by retrieving the features of the signals using a pre-defined structuring element. The book introduces the fundamental principles, and brings together the applications of MM to develop new protective relaying algorithms for the protection of a variety of power system components (including transmission lines, bus, and power transformers), as well as for the distorted waveform detection and compensation which are required for the operation of many conventional relays. Protective Relaying of Power Systems Using Mathematical Morphology is an ideal source of information for researchers or postgraduates in the fields of power and engineering, as well as for power engineers.
- Published
- 2009
189. Information Computing And Automation (In 3 Volumes) - Proceedings Of The International Conference
- Author
-
Jian Ping Li, Igor Bloshanskii, Lionel M Ni, S S Pandey, Simon X Yang, Jian Ping Li, Igor Bloshanskii, Lionel M Ni, S S Pandey, and Simon X Yang
- Subjects
- Information storage and retrieval systems--Congresses, User interfaces (Computer systems)--Congresses, Wavelets (Mathematics)--Congresses, Information technology--Congresses, Computer architecture--Congresses
- Abstract
Wavelet analysis and its applications have become one of the fastest growing research areas in the past several years. Wavelet theory has been employed in many fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, air acoustics, and endless other areas. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment.This book consists of carefully selected and received papers presented at the conference, and is an attempt to capture the essence of the current state-of-the-art in wavelet analysis and active media technology. Invited papers included in this proceedings includes contributions from Prof P Zhang, T D Bui, and C Y Suen from Concordia University, Canada; Prof N A Strelkov and V L Dol'nikov from Yaroslavl State University, Russia; Prof Chin-Chen Chang and Ching-Yun Chang from Taiwan; Prof S S Pandey from R D University, India; and Prof I L Bloshanskii from Moscow State Regional University, Russia.
- Published
- 2008
190. Fast template matching based on deformable best-buddies similarity measure
- Author
-
Xia, Haiying, Zhao, Wenxian, Jiang, Frank, Li, Haisheng, Xin, Jing, and Zhou, Zheng
- Published
- 2019
- Full Text
- View/download PDF
191. Second Generation Wavelets and Applications
- Author
-
Maarten H. Jansen, Patrick J. Oonincx, Maarten H. Jansen, and Patrick J. Oonincx
- Subjects
- Signal processing--Mathematics, Image processing--Mathematics, Wavelets (Mathematics)
- Abstract
Wavelets are mathematical functions that divide data into different frequency components, and then study each component with a resolution matched to its scale. First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data Second Generation Wavelets and Applications introduces'second generation wavelets'and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics. This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images.
- Published
- 2005
192. Progress in Pattern Recognition, Image Analysis and Applications : 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, Havana, Cuba, November 15-18, 2005, Proceedings
- Author
-
Manuel Lazo, Alberto Sanfeliu, Manuel Lazo, and Alberto Sanfeliu
- Subjects
- Image processing--Congresses, Pattern recognition systems--Congresses
- Abstract
CIARP 2005 (10th Iberoamerican Congress on Pattern Recognition, X CIARP) is the 10th event in the series of pioneer congresses on pattern recognition in the Iberoamerican community, which takes place in La Habana, Cuba. As in previous years, X CIARP brought together international scientists to promote and disseminate ongoing research and mathematical methods for pattern recognition, image analysis, and applications in such diverse areas as computer vision, robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition, to name a few. Moreover, X CIARP was a forum for scientific research, experience exchange, share of new knowledge and increase in cooperation between research groups in pattern recognition, computer vision and related areas. The 10th Iberoamerican Congress on Pattern Recognition was organized by the Cuban Association for Pattern Recognition (ACRP) and sponsored by the Institute of Cybernetics, Mathematics and Physics (ICIMAF), the Advanced Technologies Application Center (CENATAV), the University of Oriente (UO), the Polytechnic Institute “José A Echevarria” (ISPJAE), the Central University of Las Villas (UCLV), the Ciego de Avila University (UNICA), as well as the Center of Technologies Research on Information and Systems (CITIS-UAEH) in Mexico. The conference was also co-sponsored by the Portuguese Association for Pattern Recognition (APRP), the Spanish Association for Pattern Recognition and Image Analysis (AERFAI), the Special Interest Group of the Brazilian Computer Society (SIGPR-SBC), and the Mexican Association for Computer Vision, Neurocomputing and Robotics (MACVNR). X CIARP was endorsed by the International Association for Pattern Recognition (IAPR).
- Published
- 2005
193. Wavelet Analysis And Its Applications (In 2 Vols), Proceedings Of The Third International Conference On Waa
- Author
-
Jian Ping Li, Jing Zhao, Victor Wickerhauser, Yuan Yan Tang, John Daugman, Lizhong Peng, Jian Ping Li, Jing Zhao, Victor Wickerhauser, Yuan Yan Tang, John Daugman, and Lizhong Peng
- Subjects
- Wavelets (Mathematics)--Congresses
- Abstract
This book captures the essence of the current state of research in wavelet analysis and its applications, and identifies the changes and opportunities - both current and future - in the field. Distinguished researchers such as Prof John Daugman from Cambridge University and Prof Victor Wickerhauser from Washington University present their research papers.
- Published
- 2003
194. GROUP 24 : Physical and Mathematical Aspects of Symmetries: Proceedings of the 24th International Colloquium on Group Theoretical Methods in Physics, Paris, 15-20 July 2002
- Author
-
J.P Gazeau, R Kerner, J.P Antoine, S Metens, J.Y Thibon, J.P Gazeau, R Kerner, J.P Antoine, S Metens, and J.Y Thibon
- Subjects
- QC20.7.G76
- Abstract
As a record of an international meeting devoted to the physical and mathematical aspects of group theory, GROUP 24: Physical and Mathematical Aspects of Symmetries provides an important selection of informative articles describing recent advances in the field. The applications of group theory presented in this book deal not only with the traditional fields of physics, but also include such disciplines as chemistry and biology. Plenary session contributions are represented by 18 longer articles, followed by nearly 200 shorter articles. The book also presents coherent states, wavelets, and applications and quantum group theory and integrable systems in two separate sections.
- Published
- 2003
195. Recent Findings in Signal Processing Described by Researchers from National Center for Scientific Research (CNRS)
- Subjects
Image coding -- Reports -- Research ,Electronics ,Centre National de la Recherche Scientifique -- Reports - Abstract
According to the authors of recent research from Marne la Vallee, France, 'Lifting schemes (LS) were found to be efficient tools for image coding purposes. Since LS-based decompositions depend on [...]
- Published
- 2012
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