Abstract: In the process of image acquisition, the images which contain noise or poor contrast are often obtained. In order to realize image denoising and contrast enhancement, this paper presents a simultaneous denoising and enhancement method to process image based on vector diffusion control. The structure of Total Variation(TV) model is analyzed, the problem is pointed out, and edge intensity is better control by introducing the vector diffusion of the transformation model. The differential model of Contrast Limited Adaptive Histogram Equalization(CLAHE) is proposed, which is combined with the improved TV model to implement synchronization of image denoising and contrast enhancement. The results are comparing by the quality and gray distribution of two group experiments, and the effectiveness of this proposed method is verified. The results show that the method not only can resolve the staircase appearing in TV model during denoising process, but also can improve the contrast of image, so it can improve the quality of image.
Total Variation(TV) model,
Contrast Limited Adaptive Histogram Equalization(CLAHE) model,
vector diffusion control