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Proceedings Paper

Image denoising based on wavelet transform algorithm
Author(s): Yan Ha; Xiaofei Wang; Miao Wang; Qian Su; Yue Shi
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Paper Abstract

In this paper, a new wavelet threshold denoising algorithm has been proposed based on the correlation characteristics between layers coefficient and the inner-layer coefficient. For each wavelet coefficient, a corresponding threshold is constructed according to the wavelet coefficients between layers and layer-related features. The experimental results show that the ability of this algorithm is better than the traditional algorithm in the aspect of image denoising.

Paper Details

Date Published: 12 January 2012
PDF: 9 pages
Proc. SPIE 8206, Pacific Rim Laser Damage 2011: Optical Materials for High Power Lasers, 82061L (12 January 2012); doi: 10.1117/12.910079
Show Author Affiliations
Yan Ha, Hebei Univ. (China)
Xiaofei Wang, Hebei Univ. (China)
Miao Wang, Hebei Univ. (China)
Qian Su, Hebei Univ. (China)
Yue Shi, Hebei Univ. (China)

Published in SPIE Proceedings Vol. 8206:
Pacific Rim Laser Damage 2011: Optical Materials for High Power Lasers
Jianda Shao, Editor(s)

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