Paper Title:
Method of Adaptive Wavelet Thresholding Used in Image Denoising
  Abstract

According to multi-resolution analysis of wavelet threshold denoising principle, this paper presented two improved algorithms of continuity and adaptive threshold based on hard thresholding. The soft thresholding (hyperbolic thresholding) was used in the intervals after setting two thresholds, and the isolated points were removed according to the adjacent correlation coefficient during the processing. As a result, the hard thresholding’s shortcomings were reduced. The simulation results show that improved algorithms have both better visual effect and PSNR than the traditional approaches.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1184-1187
DOI
10.4028/www.scientific.net/AMR.204-210.1184
Citation
H. X. Huang, J. Gong, T. Zhang, "Method of Adaptive Wavelet Thresholding Used in Image Denoising", Advanced Materials Research, Vols. 204-210, pp. 1184-1187, 2011
Online since
February 2011
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