DocumentCode
3063166
Title
Quantitative evaluation method of visual difference caused by image decimation
Author
Ueno, Satoshi ; Okuda, Masahiro
Author_Institution
Fac. of Environ. Eng., Univ. of Kitakyushu, Kitakyushu
fYear
2009
fDate
8-11 Feb. 2009
Firstpage
1
Lastpage
4
Abstract
This paper proposes a method for evaluating visual difference caused by decimation. In many applications it is important to evaluate visual difference of two different images. There exist many image assessment methods that utilize the human visual system (HVS), such as the visual difference predictor (VDP) and the Sarnoff visual discrimination model. In this paper, we extend and elaborate on the conventional image assessment method for the purpose of evaluating the visual difference caused by the image decimation. Our method matches actual human evaluation more and requires less computation complexity than the conventional method.
Keywords
computational complexity; image processing; Sarnoff visual discrimination model; computation complexity; human visual system; image assessment method; image decimation; quantitative evaluation; visual difference; Degradation; Frequency; Humans; Interpolation; Low pass filters; Maximum likelihood detection; Predictive models; Quality assessment; Signal processing; Visual system; VDP; decimation; distortion; texture; visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications Systems, 2008. ISPACS 2008. International Symposium on
Conference_Location
Bangkok
Print_ISBN
978-1-4244-2564-8
Electronic_ISBN
978-1-4244-2565-5
Type
conf
DOI
10.1109/ISPACS.2009.4806749
Filename
4806749
Link To Document