Open AccessChrominance just‐noticeable‐distortion model based on human colour perception
Author(s) -
Xue Fei,
Jung Cheolkon
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.1844
Subject(s) - chrominance , artificial intelligence , computer vision , computer science , just noticeable difference , residual , perception , luminance , mathematics , algorithm , psychology , neuroscience
A novel chrominance just‐noticeable‐distortion (JND) model based on human colour perception is proposed. The human colour perception based on the density of cones in the retina is quantitatively modelled, and the chrominance JND model using the Gaussian distribution is obtained. To verify its superiority, the chrominance JND model is applied to stereo video coding, which adopts the residual preprocessor to deal with the residuals of stereo videos. Experimental results demonstrate that the proposed chrominance JND model significantly saves bit rate without loss of perceptual quality in stereo videos.