By Topic

Visual Horizontal Effect for Image Quality Assessment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lin Ma ; Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong ; Songnan Li ; King Ngi Ngan

In this paper, an image quality metric is proposed by modeling the visual Horizontal Effect (HE) and saliency property over structural distortions. Specifically, Structrue SIMilarity (SSIM) is firstly performed to obtain the structural distortion map. Subsequently, the obtained distortion map is refined by the visual HE model, which depicts visual sensitivities of oriented stimuli over different oriented contents. Finally, in order to describe the local Human Visual System (HVS) conspicuities, a saliency pooling strategy is proposed to generate the resulting image quality index. The experimental results have demonstrated that the proposed method outperforms SSIM and Visual Information Fidelity (VIF), which indicates that the obtained similarity index is more consistent with the perceptual evaluation of image quality.

Published in:

IEEE Signal Processing Letters  (Volume:17 ,  Issue: 7 )