The Non-Local Samples (NL-S) is proposed to use as reference in the GSR regime for image denoising, thus termed GSR-NLS, and a good estimation of the group ...
... sparse residuals by using an external NSS prior ... Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior.
Communicated by Prof. Liu Guangcan. Accepted Manuscript. Group Sparsity Residual Constraint for Image Denoising with. External Nonlocal Self-Similarity Prior.
“Patch group based nonlocal self-similarity prior learning for image denoising ... Image restoration via simultaneous nonlocal self-similarity priors. IEEE ...
Mar 1, 2017 · However, most existing methods only consider the nonlocal self-similarity (NSS) prior of noisy input image. That is, the similar patches are ...
Missing: external | Show results with:external
More specifically, we first obtain a good estimation of the group sparse coefficients by the image nonlocal self-similarity, and then solve the GSR model by an ...
“Patch group based nonlocal self-similarity prior learning for image denoising ... Image restoration via simultaneous nonlocal self-similarity priors. IEEE ...
Zha, Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior, Neurocomputing, № 275, с. 2294 https://doi.org ...
During the past decades, a variety of image denoising methods have been proposed, such as total variation, sparse representation, non-local self-similarity, and ...
Nov 10, 2023 · ... using the prior knowledge of image ... Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior.