RANGE IMAGE QUALITY ASSESSMENT BY STRUCTURAL SIMILARITY

被引：20
|
作者：
Malpica, W. S. [1 ]
Bovik, A. C. [1 ]
机构：
[1] Univ Texas Austin, Lab Image & Video Engn, Austin, TX 78712 USA
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年
关键词：
SSIM; Quality Assessment; Range Images; Structural Similarity;
D O I：
10.1109/ICASSP.2009.4959792
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
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.
引用
收藏
页码：1149 / 1152
页数：4
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