Cartoon and texture decomposition for color image in opponent color space
作者：
Highlights：
• We propose a model of cartoon and texture decomposition in the opponent color space.
• Perception of color is usually better represented in opponent color space than the RGB space.
• We generalize the L1 norm and L∞ norm for the vector-valued vector.
• We introduce the TV norm and G-norm in the opponent color space and the primal-dual method is applied to find the solution.
• Numerical results are shown the performance of the proposed model.
摘要
•We propose a model of cartoon and texture decomposition in the opponent color space.•Perception of color is usually better represented in opponent color space than the RGB space.•We generalize the L1 norm and L∞ norm for the vector-valued vector.•We introduce the TV norm and G-norm in the opponent color space and the primal-dual method is applied to find the solution.•Numerical results are shown the performance of the proposed model.
论文关键词：Color image decomposition,Total variation,G-norm,Cartoon and texture,Primal-dual algorithm
论文评审过程：Received 6 June 2020, Revised 27 August 2021, Accepted 7 September 2021, Available online 27 September 2021, Version of Record 27 September 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126654
