Volume 5, Issue 3
Image Denoising using LIT Model and Iterated Total Variation Refinement

Zichen Deng

Int. J. Numer. Anal. Mod. B, 5 (2014), pp. 255-268

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  • Abstract

Developing a variational model that is capable of restoring both smooth (no edges) and non-smooth (with edges) images is still a valid challenge in the image processing. In this paper, we present two methods for image denoising problems based on the use of the LLT model (see [14]) and iterated total variation refinement. The idea of our methods is, first make use of the LLT model to get a smooth primal sketch, and then get some meaningful signal by iterated total variation refinement from the removed noise image. Numerical experiments show that our method is able to maintain some important information such as small details in the image, and at the same time to get a better visualization.

  • History

Published online: 2014-05

  • AMS Subject Headings

35R35, 49J40, 60G40

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