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Wavelet-based image interpolation using multilayer perceptrons
- Source :
- Neural Computing and Applications. 14:1-10
- Publication Year :
- 2004
- Publisher :
- Springer Science and Business Media LLC, 2004.
-
Abstract
- Changing the resolution of digital images and video is needed image processing systems. In this paper, we present nonlinear interpolation schemes for still image resolution enhancement. The proposed neural network interpolation method is based on wavelet reconstruction. With the wavelet decomposition, the image signals can be divided into several time–frequency portions. In this work, the wavelet decomposition signal is used to train the neural networks. The pixels in the low-resolution image are used as the input signal of the neural network to estimate all the wavelet sub-images of the corresponding high-resolution image. The image of increased resolution is finally produced by the synthesis procedure of wavelet transform. In the simulation, the proposed method obtains much better performance than other traditional methods. Moreover, the easy implementation and high flexibility of the proposed algorithm also make it applicable to various other related problems.
- Subjects :
- Discrete wavelet transform
Lifting scheme
business.industry
Second-generation wavelet transform
Stationary wavelet transform
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Wavelet transform
Image processing
Wavelet packet decomposition
Wavelet
Artificial Intelligence
Computer Science::Computer Vision and Pattern Recognition
Computer vision
Artificial intelligence
business
Software
Mathematics
Subjects
Details
- ISSN :
- 14333058 and 09410643
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Neural Computing and Applications
- Accession number :
- edsair.doi...........b2ce776d5837eb40a57d4bc03631cbf6