RANGE IMAGE QUALITY ASSESSMENT BY STRUCTURAL SIMILARITY

被引：21

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

页码：1149 / 1152

页数：4

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