Statistically Adaptive Image Denoising Based on Overcomplete Topographic Sparse Coding

Author:

Zhao Haohua,Luo Jun,Huang Zhiheng,Nagumo Takefumi,Murayama Jun,Zhang Liqing

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference20 articles.

1. Aharon M, Elad M, Bruckstein A (2006) $$k$$ k -svd: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 54(11):4311–4322

2. Buades A, Coll B, Morel JM (2005) A non-local algorithm for image denoising. In: Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer society conference on, vol 2, pp 60–65

3. Chang S, Yu B, Vetterli M (2000) Adaptive wavelet thresholding for image denoising and compression. IEEE Trans Image Process 9(9):1532–1546

4. Dabov K, Foi A, Katkovnik V, Egiazarian K, et al (2009) Bm3d image denoising with shape-adaptive principal component analysis. In: SPARS’09 signal processing with adaptive sparse structured representations

5. Dong W, Li X, Zhang L, Shi G (2011) Sparsity-based image denoising via dictionary learning and structural clustering. In: CVPR 2011, pp 457–464

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