A Denoising and Enhancement Method of Color Image through Synchronous Total Variation and Limited Contrast Balance

In order to realize denoising and contrast enhancement for color image, the paper presents a denoising and enhancement method of color image through synchronous total variation and limited contrast balance. Firstly, problem of color total variation model is analysised. To solve this problem, this model is changed to eliminate the step effect by introducing the color space vector diffusion. Secondly, the calculation method of gradient vector in RGB space is proposed to avoid the gray transformation information. Finally, the differential model of contrast limited histogram equalization (CLAHE) is proposed, it is combined with the improved CTV model to implement synchronization of color image denoising and contrast enhancement. The results show that: This method can make calculation directly in the color space, so the information loss could be reduced by the color space conversion. it can improve the image contrast and noise elimination simultaneously to get better result.