Total-Variation algorithm has a good result to de-noise for noise image of small
scale details, but it easily losses the details for the image with rich texture
and tiny boundary. In order to solve this problem, this paper proposes a Sobel-TV
model algorithm for image denoising. It uses TV model to de-noise and uses Sobel
algorithm to control smoothness of image, which not only efficiently removes image
noise but also simultaneously retail information, such as edge and texture. The
experiments demonstrate that the proposed algorithm is simple, practical and generates better SNR, which is an important value to preprocess image.
Cite this paper
Tu, J. and Yang, B. (2014) A Sobel-TV Based Hybrid Model for Robust Image Denoising. Applied Mathematics
, 1310-1316. doi: 10.4236/am.2014.58123
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