DocumentCode
3515388
Title
Range image quality assessment by Structural Similarity
Author
Malpica, W.S. ; Bovik, A.C.
Author_Institution
Lab. for Image & Video Eng., Univ. of Texas at Austin, Austin, TX
fYear
2009
fDate
19-24 April 2009
Firstpage
1149
Lastpage
1152
Abstract
We propose a new quality metric for range images that is based on the multi-scale structural similarity (MS-SSIM) index. The new metric operates in a manner to SSIM but allows for special handling of missing data. We demonstrate its utility by reevaluating the set of stereo algorithms evaluated in the Middlebury stereo vision page http://vision.middlebury.edu/stereo/. The new algorithm which we term Range SSIM (R-SSIM) index possesses features that make it an attractive choice for assessing the quality of range images.
Keywords
image matching; stereo image processing; Range SSIM index; multiscale structural similarity index; range image quality assessment; stereo vision; Humans; Image quality; Laboratories; Layout; Pixel; Quality assessment; Rough surfaces; Statistics; Stereo vision; Visual system; Quality Assessment; Range Images; SSIM; Structural Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4959792
Filename
4959792
Link To Document