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14

ICASSP
2009
IEEE

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Range image quality assessment by Structural Similarity

13 years 11 months ago

Range image quality assessment by Structural Similarity

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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

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ICASSP 2009 | Middlebury Stereo Vision | Multi-scale Structural Similarity | Range Images | Signal Processing |

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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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