Color image denoising with wavelet thresholding based on human visual system model

Kai-qi Huang; Zhen-yang Wu

doi:10.1117/12.507817

23 June 2003 Color image denoising with wavelet thresholding based on human visual system model

Kai-qi Huang, Zhen-yang Wu

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.507817
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

This paper presents a new approach to color image denoising under consideration of human visual system (HVS) model. The denosing process takes place in the wavelet transform domain. A contrast sensitivity function (CSF) implementation is employed into wavelet-based algorithm based on an invariant single factor weighting per subband and noise masking in succession. Experimental results show that the new approach is good in terms of perceptual error metrics and visual effect.

Citation Download Citation

Kai-qi Huang and Zhen-yang Wu "Color image denoising with wavelet thresholding based on human visual system model", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.507817

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