Multi-scale sparse denoising model based on non-separable wavelet

Abstract

For the issue of image denoising, in order to avoid the traditional multi-scale sparse representation methods, which used blocks of different sizes as a base function to represent image, the non-separable wavelets were taken. Their advantages included revealing the multi-scale structure, depicting the texture structure under different scales, and separating… (More)
DOI: 10.1109/SPAC.2014.6982710

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Cite this paper

@article{Zeng2014MultiscaleSD, title={Multi-scale sparse denoising model based on non-separable wavelet}, author={Wu Zeng and Long Zhou and Renhong Xu and Biao Li}, journal={Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)}, year={2014}, pages={332-336} }