GROUP SPARSE REPRESENTATION AND SATURATION-VALUE TOTAL VARIATION BASED COLOR IMAGE DENOISING UNDER MULTIPLICATIVE NOISE

Group sparse representation and saturation-value total variation based color image denoising under multiplicative noise

In this article, we propose a novel group-based sparse representation (GSR) model for restoring color images in the presence of multiplicative noise.This model consists of a convex data-fidelity term, and two regularizations including GSR and saturation-value-based total variation (SVTV).The data-fidelity term is suitable for handling heavy multipl

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