DocumentCode
2202926
Title
Background-based Objective Measure for Predicting Subjective Visual Quality of Distorted Image
Author
Yang, Chin-Ann ; Yang, Jar-Ferr ; Chung, Pau-Choo
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan
fYear
2006
fDate
14-17 Nov. 2006
Firstpage
1
Lastpage
4
Abstract
This paper proposes a new image objective quality measure, which is based on background activities. The proposed background-based quality measure is base on singular value decomposition (SVD) of block and background images. The proposed objective quality measure with weighted background activities and singular vectors error between the corresponding original and the distorted image blocks exhibits a better subjective visual quality prediction. Experiments results also show that the proposed background-based SVD image quality measure truly provides a better correlation with the human eyes perception than the existing measures
Keywords
eye; image processing; singular value decomposition; visual perception; SVD; block image; correlation; human eyes perception; image objective quality measure; singular value decomposition; visual quality prediction; Distortion measurement; Electric variables measurement; Eyes; Humans; Image quality; PSNR; Pixel; Signal to noise ratio; Singular value decomposition; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location
Hong Kong
Print_ISBN
1-4244-0548-3
Electronic_ISBN
1-4244-0549-1
Type
conf
DOI
10.1109/TENCON.2006.344071
Filename
4142338
Link To Document