A Novel Algorithm for Color Image Denoising Based on the CB Color Model
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 chro-matkity is a unit vector on S2. 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 Shens 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.
CB color model chromaticity total variation alternating minimization
Fang Li
Department of Mathematics East China Normal University Shanghai, China
国际会议
重庆
英文
1376-1379
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）