Just-noticeable-distortion profile with nonlinear additivity model for perceptual masking in color images
We propose a new spatial just noticeable distortion (JND) profile for color image processing. The JND threshold depends on various masking effects underlying existing in the human vision system (HVS). How to efficiently integrate different masking effects together is the key issue of modelling the JND profile. Based on recent vision research results, we model the masking effects in different stimulus dimensions as a nonlinear additivity model for masking (NAMM). It applies to all color components and accounts for the compound impact of luminance masking and texture masking to estimate the JND threshold in images. In our PSNR and subjective comparison to the related work, the proposed NAMM scheme provides a more accurate JND profile towards the actual JND bound in the HVS.