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Optical Engineering • Open Access

Adaptive mixed image denoising based on image decomposition
Author(s): Run Liu; Shujun Fu; Caiming Zhang

Paper Abstract

Image denoising while preserving image features is a key problem in image processing and computer vision. This letter proposes an adaptive mixed method for image restoration. First, this method decomposes a given image as the sum of two components: geometric structure and oscillating pattern according to Meyer's theory. Second, a coupled bidirectional diffusion equation is used to restore the structure part, and a nonlocal means filter is used to remove noise in the oscillating part. Experimental results show advantages of this method in feature-preserving denoising.

Paper Details

Date Published: 1 February 2011
PDF: 3 pages
Opt. Eng. 50(2) 020502 doi: 10.1117/1.3542041
Published in: Optical Engineering Volume 50, Issue 2
Show Author Affiliations
Run Liu, Shandong Univ. (China)
Shujun Fu, Shandong Univ. (China)
Caiming Zhang, Shandong Univ. (China)

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