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

Volume

6

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

623

Lastpage

627

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.692

Filename

5170776