image denoising based on visual patterns

among abundant image denoising methods proposed so far, the use of patchbased algorithms have attracted a lot of attention from image processingcommunity. although these methods are very powerful in presentation of highquality results, the impact of human visual system (hvs) is ignored in sole of them.in this paper the human visual geometry is used in preparation of a new method forimage denoising. several image quality assessment (iqa) criteria, based on hvs,are used to confirm superiority of the proposed method in comparison with otherstate-of-the-art methods. in addition to denoising quality, the proposed method isfast as a result of dimensionality reduction.