关键词: 图像去噪, 自适应权函数, 全变分模型, 本原对偶算法

Abstract: Based on combining shock filter with anisotropic diffusion filter to preprocess the noisy images, the edge-enhanced image is got while smoothing out the noise in this paper. By using the edge detection filters to choose the partial adaptive parameters based on the preprocessed images, a local adaptive total variation regularization model is proposed for the image denoising problem. The proposed model can keep the balance between noises smoothing and edges preserving adaptively. Furthermore, a first-order primal-dual algorithm is used to solve the proposed the model. The numerical results show that the proposed model and algorithm can effectively smooth out the noise, at the same time it can greatly keep the details and texture features of images. Then the proposed model can improve the objective evaluation standard and subjective visual effect.

Key words: image denoising, adaptive weighted function, total variation model, primal-dual algorithm