Paper Title:
Adaptive Image Denoising Based on Sparse Decomposition
  Abstract

Different behaviors of image information and noise in sparse decomposition were studied to identify the differences between image information and noise. According to the different coherences between image (or residual image), noise and over-complete dictionary, image information and noise are distinguished. One image adaptive filtering is realized by taking coherent ratio threshold as the constraints of extracting available information.

  Info
Periodical
Edited by
Han Zhao
Pages
2932-2935
DOI
10.4028/www.scientific.net/AMM.130-134.2932
Citation
Y. T. Jiang, Z. K. Yin, "Adaptive Image Denoising Based on Sparse Decomposition", Applied Mechanics and Materials, Vols. 130-134, pp. 2932-2935, 2012
Online since
October 2011
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