Title :
A multiview video quality assessment method based on disparity and SSIM
Author :
Zhang, Yan ; An, Ping ; Wu, Yanfei ; Zhang, Zhaoyang
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
With more and more applications of Stereo/multiview video technology, Stereo/multiview video quality assessment is quite needed. In this paper, we have proposed a novel multiview video quality assessment method based on disparity and SSIM. We evaluate video quality from two aspects, stereo perception and image quality. Stereo perception is evaluated by the disparities, and image quality is got by the similarity of every view. The subjective experiments verified the rationality of the presented novel objective method.
Keywords :
stereo image processing; video signal processing; SSIM; disparity; image disparity; image quality; multiview video quality assessment method; stereo perception; stereo video quality assessment; Humans; Image coding; Image quality; Observers; PSNR; Quality assessment; HVS; SSIM; disparity; multiview video;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655900
