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

Kai Qi Huang, Zhen Yang Wu, George S.K. Fung, Francis H.Y. Chan

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


Recent research in transform-based image denoising has focused on the wavelet transform due to its superior performance over other transform. Performance is often measured solely in terms of PSNR and denoising algorithms are optimized for this quantitative metric. The performance in terms of subjective quality is typically not evaluated. Moreover, human visual system (HVS) is often not incorporated into denoising algorithm. This paper presents a new approach to color image denoising taking into consideration HVS model. The denoising process takes place in the wavelet transform domain. A Contrast Sensitivity Function (CSF) implementation is employed in the subband of wavelet domain based on an invariant single factor weighting and noise masking is adopted in succession. Significant improvement is reported in the experimental results in terms of perceptual error metrics and visual effect.

Original languageEnglish (US)
Pages (from-to)115-127
Number of pages13
JournalSignal Processing: Image Communication
Issue number2
StatePublished - Feb 2005
Externally publishedYes


  • Color image denoising
  • Contrast sensitivity function
  • Human visual system model
  • Masking
  • Wavelet thresholding

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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