Title :
High Efficient Image Quality Assessment Model
Author :
Deng, Chen-Wei ; Zhao, Bao-Jun
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
fDate :
March 31 2009-April 2 2009
Abstract :
This paper proposes an image quality evaluation model, in which the image distortion is analyzed quantificationally in wavelet domain. Properties of human visual system are incorporated into this model. Besides objective assessment, it simulates some visual perception features: visual nonlinear, band-pass visual sensitivity and visual multi-channels. It has simple structure and easy-to-use, experimental results show that the proposed model reflects image visual quality accurately and objectively.
Keywords :
distortion; image processing; visual perception; wavelet transforms; band-pass visual sensitivity feature; human visual system; image distortion; image quality assessment model; objective assessment; visual multichannels feature; visual nonlinear feature; visual perception features; wavelet domain; Biomedical optical imaging; Humans; Image analysis; Image quality; Image reconstruction; Nonlinear optics; PSNR; Pixel; Visual system; Wavelet domain; Human visual system; Image quality assessment; Peak signal-to-noise ratio;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.692
