Efficient dual domain image denoising via SURE-based optimization
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-023-01902-w.pdf
Reference39 articles.
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2. Xu J, Zhang L, Zuo W, Zhang D, Feng X (2015) Patch group based nonlocal self-similarity prior learning for image denoising. In: IEEE international conference on computer vision (ICCV), pp 244–252
3. Buades A, Coll B, Morel J-M (2010) Image denoising methods. a new nonlocal principle. SIAM Rev 52(1):113–147
4. Zha Z, Liu X, Zhou Z, Huang X, Shi J, Shang Z, Tang L, Bai Y, Wang Q, Zhang X (2017) Image denoising via group sparsity residual constraint. In: Acoustics, speech and signal processing (ICASSP), 2017 IEEE international conference on, IEEE, pp 1787–1791
5. Dai T, Lu W, Wang W, Wang J, Xia S-T (2017) Entropy-based bilateral filtering with a new range kernel. Signal Process 137:223–234
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