TY - GEN
T1 - High efficient image quality assessment model
AU - Deng, Chen Wei
AU - Zhao, Bao Jun
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/71049171693
U2 - 10.1109/CSIE.2009.692
DO - 10.1109/CSIE.2009.692
M3 - Conference contribution
AN - SCOPUS:71049171693
SN - 9780769535074
T3 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
SP - 623
EP - 627
BT - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
T2 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Y2 - 31 March 2009 through 2 April 2009
ER -