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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100443
