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從稀疏表示到低秩表示(二)

確定研究方向後一直在狂補理論,最近看了一些文章,有了些想法,順便也總結了representation系列的文章,由於我剛接觸,可能會有些不足,願大家共同指正。

從稀疏表示到低秩表示系列文章包括如下內容:

二、 NonlocallyCentralized Sparse Representation

此部分是上篇的續篇,介紹sparse representation 的改進

Related method be supposed: NCSR (ICCV’11, TIP’13)

• A simple but very effective sparserepresentation model was proposed. It outperforms many state-of-the-arts inimage denoising, deblurring and super-resolution.

Related paper:

[1]W. Dong, L. Zhang and G. Shi, “Centralized Sparse Representation for ImageRestoration”, in ICCV 2011.

[2]W. Dong, L. Zhang, G. Shi and X.Li, “NonlocallyCentralized Sparse Representation for Image Restoration”,IEEE Trans. on ImageProcessing,vol. 22, no. 4, pp.1620-1630, April 2013.

NCSR: The idea



NCSR: The objective function


NCSR: The solution


NSCR: The parameters anddictionaries


Denoising results


Deblurring results