DocumentCode
2066876
Title
Quality Assessment of Stereo Images with Stereo Vision
Author
Shen, Lili ; Yang, Jiachen ; Zhang, Zhuoyun
Author_Institution
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
A quality assessment method of stereo images is proposed firstly, which is based on the theories and methods of planar quality assessment-SSIM. It takes stereo (three-dimensional) vision into account, including the physiological stereoscopy and the psychological stereoscopy. Dense disparity of stereo images is extracted, then division into segments is carried out . The weighted structural similarity is achieved as the assessing index of stereo image quality. Experimental results show that the proposed method is more accurate than PPSNR, in accordance with human visual characteristic, and consistent with the result of subjective assessment.
Keywords
feature extraction; image segmentation; stereo image processing; feature extraction; image segmentation; quality assessment method; stereo images; stereo vision; Data mining; Distortion measurement; Humans; Image quality; Image segmentation; PSNR; Predictive models; Psychology; Quality assessment; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5300818
Filename
5300818
Link To Document