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
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;
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
DOI :
10.1109/ISPACS.2009.4806749