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We propose a MultiChannel Weighted Schatten p-Norm Minimization (MCWSNM) model for RGB color image denoising.
In this paper, based on the non-local self-similarity of an image and the different noise strength across each channel, we propose a Multi-. Channel Weighted ...
Extended multichannel weighted Schatten p-norm minimization for color image denoising was published in Geometric Potential Analysis on page 105.
By taking a tunable noise level matrix and the Schatten p-norm as inputs, the proposed model can flexibly deal with noise on different levels and different ...
This paper proposes a multi-channel (MC) optimization model for real color image denoising under the weighted nuclear norm minimization (WNNM) framework, ...
May 28, 2017 · In this paper, we propose a multi-channel (MC) optimization model for real color image denoising under the weighted nuclear norm minimization (WNNM) framework.
Missing: Schatten p-
Aug 26, 2020 · Firstly, we propose a weighted t-. Schatten-p norm minimization for real color image denoising. Our method employs the low tubal rank tensor ...
Apr 17, 2024 · Quaternion weighted Schatten p-norm minimization for color image restoration with convergence guarantee. Authors: Qinghua Zhang.
This paper proposes a new multi-channel optimization model for color image denoising under the nuclear norm minus Frobenius norm minimization framework.
For example, the multi-channel weighted nuclear norm minimization (MCWNNM) [4] was developed for noise removal in real scenes. Although these methods can obtain ...