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Proceedings Paper

Image denoising algorithm based on the relevance of wavelet coefficients
Author(s): Yan Ha
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Paper Abstract

In this paper the wavelet transform and the wavelet transform theory have been elaborated. A wavelet coefficients' model in which individual shrinkage thresholds are selected for each coefficient has been established. The relationships between different wavelet coefficients are analyzed. According to this new model, a new algorithm of image denosing has been proposed. It is shown in the experiments that the new algorithm is more effective than traditional algorithms.

Paper Details

Date Published: 24 November 2009
PDF: 6 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75132E (24 November 2009); doi: 10.1117/12.838145
Show Author Affiliations
Yan Ha, Hebei Univ. (China)


Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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