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ICASSP
2009
IEEE

Range image quality assessment by Structural Similarity

10 years 4 months ago
Range image quality assessment by Structural Similarity
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.
W. S. Malpica, Alan C. Bovik
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors W. S. Malpica, Alan C. Bovik
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