Video quality assessment combining structural distortion and human visual system

Authors:
Wei Tu;Zhihua Xie;Lixin Gan
Affiliations:
Key Lab. of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, China;Key Lab. of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, China;Key Lab. of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

Citing 2
Cited 0

Image coding quality assessment using fuzzy integrals with a three-component image model

IEEE Transactions on Fuzzy Systems
The effects of a visual fidelity criterion of the encoding of images

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an improved structural similarity index (SSIM) for video quality assessment based on human visual system (HVS). To integrate visual characteristics to our SSIM, different weighted values are determined by those visual characteristics including contrast sensitivity, multi-channel structure, visual masking and so on. This method has the properties of simple and efficiency as the same of the SSIM method. And it is more suitable for human visual system due to fusing HVS. The experimental results show that the method can reflect people's subjective feelings in a better way and is better than other traditional methods in fitting M2 (Correlation coefficient of Non-linear regression), M3 (Spearman rank), M4 (Outlier Ratio) of VQEG Phase I MOS.