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» Learning a Blind Measure of Perceptual Image Quality
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ICIP
2008
IEEE
14 years 6 months ago
Segmentation-based Perceptual Image Quality Assessment (SPIQA)
Computational representation of perceived image quality is a fundamental problem in computer vision and image processing, which has assumed increased importance with the growing r...
Bernard Ghanem, Esther Resendiz, Narendra Ahuja
ICMCS
2007
IEEE
117views Multimedia» more  ICMCS 2007»
13 years 10 months ago
Learning-Based Perceptual Image Quality Improvement for Video Conferencing
It is well known that in professional TV show filming, stage lighting has to be carefully designed in order to make the host and the scene look visually appealing. The lighting a...
Zicheng Liu, Cha Zhang, Zhengyou Zhang
ICIP
2002
IEEE
14 years 6 months ago
No-reference perceptual quality assessment of JPEG compressed images
Human observers can easily assess the quality of a distorted image without examining the original image as a reference. By contrast, designing objective No-Reference (NR) quality ...
Hamid R. Sheikh, Zhou Wang, Alan C. Bovik
HVEI
2010
13 years 6 months ago
Perceptual quality assessment of color images using adaptive signal representation
Perceptual image distortion measures can play a fundamental role in evaluating and optimizing imaging systems and image processing algorithms. Many existing measures are formulate...
Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
ICIP
2006
IEEE
14 years 6 months ago
Spatial Pooling Strategies for Perceptual Image Quality Assessment
Many recently proposed perceptual image quality assessment algorithms are implemented in two stages. In the first stage, image quality is evaluated within local regions. This resu...
Zhou Wang, Xinli Shang