DocumentCode
557757
Title
Full-reference image quality assessment via region-based analysis
Author
Gu, Ke ; Zhang, Wenjun ; Wang, Ci ; Zhai, Guangtao
Author_Institution
Inst. of Image Commun. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China
Volume
3
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
1711
Lastpage
1715
Abstract
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.
Keywords
backpropagation; image processing; IQA; LIVE database; Laboratory for Image and Video Engineering; backpropagation neural network; full-reference image quality assessment; image model; image processing systems; region-based analysis; Image edge detection; Image quality; Measurement; Nonlinear distortion; PSNR; Transform coding; Visualization; Image quality assessment (IQA); back propagation (BP) neural network; region-based analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9304-3
Type
conf
DOI
10.1109/CISP.2011.6100443
Filename
6100443
Link To Document