TY - GEN
T1 - Full-reference image quality assessment via region-based analysis
AU - Gu, Ke
AU - Zhang, Wenjun
AU - Wang, Ci
AU - Zhai, Guangtao
PY - 2011
Y1 - 2011
N2 - Image quality assessment (IQA) plays an important role in many image processing systems. Based on the fact that different image components have different visual impact, we propose a new region-based method using a three-region image model and Back Propagation (BP) neural network. Experimental results show that our algorithm is obviously better than the peer image quality assessment method, using the Laboratory for Image and Video Engineering (LIVE) database as a test-bed.
AB - Image quality assessment (IQA) plays an important role in many image processing systems. Based on the fact that different image components have different visual impact, we propose a new region-based method using a three-region image model and Back Propagation (BP) neural network. Experimental results show that our algorithm is obviously better than the peer image quality assessment method, using the Laboratory for Image and Video Engineering (LIVE) database as a test-bed.
KW - Image quality assessment (IQA)
KW - back propagation (BP) neural network
KW - region-based analysis
UR - https://www.scopus.com/pages/publications/84862971249
U2 - 10.1109/CISP.2011.6100443
DO - 10.1109/CISP.2011.6100443
M3 - 会议稿件
AN - SCOPUS:84862971249
SN - 9781424493067
T3 - Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011
SP - 1711
EP - 1715
BT - Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011
T2 - 4th International Congress on Image and Signal Processing, CISP 2011
Y2 - 15 October 2011 through 17 October 2011
ER -