NDLI: A novel algorithm for color image denoising based on the CB color model

Content Provider	IEEE Xplore Digital Library
Author	Fang Li
Copyright Year	2013
Description	Author affiliation: Department of Mathematics, East China Normal University, Shanghai, China (Fang Li)
Abstract	In this paper, we propose a novel algorithm for color image denoising. The algorithm is based on Chromaticity-Brightness (CB) color model which separating the color image into two components: chromaticity and brightness. The chromaticity is a unit vector on $S^{2}.$ Then the vectorial ROF model with unit norm constraint is used to process the chromaticity component. We first use Lagrange multipliers method to deal with the unit norm constraint, and derive the closed-form solution of Lagrange multipliers. Secondly, we add a new variable to substitute the chromaticity such that the original problem is split into two easier subproblems. One subproblem is minimizing the standard vectorial Rudin-Osher-Fatemi (ROF) model which can be solved by generalizing the Shen's fast operator splitting based scheme and the other has closed form solution. A number of experiments demonstrate that the proposed algorithm is effective in chromaticity and color image denoising.
Starting Page	1
Ending Page	4
File Size	1643457
Page Count	4
File Format	PDF
ISBN	9781479916603
DOI	10.1109/ANTHOLOGY.2013.6784884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Image color analysis CB color model Brightness Noise reduction Color Total variation Alternating minimization Chromaticity Mathematical model Noise measurement
Content Type	Text
Resource Type	Article

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