关键词: 图像去噪, TV模型, 各向异性全变差, 分裂的Bregman迭代

Abstract: The Total Variation（TV） regularization model is a classical denoising model, which can be solved by the split Bregman algorithm simply and effectively. In this paper, an improved anisotropic total variation denoising model based on the TV-L1 model and the OSV model is proposed. It is also solved by the split Bregman algorithm. Numerical results show that the improved model can protect the edges, highlight the geometry features and texture, make the denoising image become more clear and result in a better image denoising effect.

Key words: image denoising, TV model, anisotropic total variation, split Bregman iteration