Image denoising based on wavelet transform algorithm

Yan Ha; Xiaofei Wang; Miao Wang; Qian Su; Yue Shi

doi:10.1117/12.910079

12 January 2012 Image denoising based on wavelet transform algorithm

Yan Ha, Xiaofei Wang, Miao Wang, Qian Su, Yue Shi

Proceedings Volume 8206, Pacific Rim Laser Damage 2011: Optical Materials for High Power Lasers; 82061L (2012) https://doi.org/10.1117/12.910079
Event: Pacific Rim Laser Damage Symposium: Optical Materials for High Power Lasers, 2011, Shanghai, China

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.

Citation Download Citation

Yan Ha, Xiaofei Wang, Miao Wang, Qian Su, and Yue Shi "Image denoising based on wavelet transform algorithm", Proc. SPIE 8206, Pacific Rim Laser Damage 2011: Optical Materials for High Power Lasers, 82061L (12 January 2012); https://doi.org/10.1117/12.910079

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