23 June 2003 Color image denoising with wavelet thresholding based on human visual system model
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai-qi Huang, 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); doi: 10.1117/12.507817; https://doi.org/10.1117/12.507817
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