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ANOR
2010

Image denoising via solution paths

13 years 11 months ago
Image denoising via solution paths
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and the "penalty" measures the smoothness of the denoising function. In this paper, we propose two models that use the L1-norm of the pixel updates as the penalty. The L1-norm penalty has the advantage of changing only the noisy pixels, while leaving the non-noisy pixels untouched. We derive efficient algorithms that compute entire solution paths of these L1-norm penalized models, which facilitate the selection of a balance between the "loss" and the "penalty." Keywords Image denoising
Li Wang, Ji Zhu
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where ANOR
Authors Li Wang, Ji Zhu
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