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 :
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