Paper Info
Title
Image Quality Assessment Based on Structural Distortion and Image Definition
Abstract
Image quality assessment is one of the key technologies in image processing field. The factors of the image quality assessment include gradation, definition and consistency. The image quality assessment method based on structural distortion often conclude distortion problem into three different factors: loss of correlation, mean distortion, and variance distortion and the image definition factor is not taken into account. In this paper, an image quality assessment method based on structural distortion and image definition is developed. The novel index of image quality assessment based on structural distortion and image definition is also proposed. The experimental results prove the image quality assessment method will be more consistent with human perception.
Year
DOI
Venue
2008
10.1109/CSSE.2008.529
CSSE (6)
Keywords
DocType
Volume
different factor,image processing,structural distortion,correlation loss,image definition,image quality assessment,variance distortion,image quality assessment method,image processing field,image definition factor,mean distortion,correlation methods,distortion problem,indexes,image quality,human perception,correlation,pixel,psnr
Conference
6
ISBN
Citations 
PageRank 
978-0-7695-3336-0
3
0.37
References 
Authors
2
4
Name
Order
Citations
PageRank
Yaohua Yi192.50
Xiaoqing Yu27511.53
Leiguang Wang3183.06
Zhigao Yang441.46