关键词: 图像去噪, 全变分模型, 自适应, 细节保护

Abstract: For Total Variation（TV） model vulnerable to gradient and regularly failing to capture image details, this paper proposes an adaptive total variation denoising algorithm based on curvature differential. On the basis of preprocessing the noisy images with both nonlinear anisotropic diffusion filter and shock filter, the proposed algorithm can make a tradeoff between edge-preserving and noise-smoothing by adaptively adjusting the weights of the regular item and the fidelity item. The experimental results show that compared with the existing denoising algorithms, the proposed new algorithm can realize at least 14% increasement of peak signal to noise ratio, and at least 43% reduction of normalized mean square error under impulsive noise in different intensity.

Key words: image denoising, total variation, adaptive, detail preserving