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

共 9 条

[1]

KOLMOGOROV V, ICCV, V2, P508

[2]

Scharstein D, 2003, PROC CVPR IEEE, P195

[3]

SCHARSTEIN D, 2002, INT J COMPUTER V APR

[4] A statistical evaluation of recent full reference image quality assessment algorithms [J].

Sheikh, Hamid Rahim ;

Sabir, Muhammad Farooq ;

Bovik, Alan Conrad .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (11) :3440-3451

[5] Image information and visual quality [J].

Sheikh, HR ;

Bovik, AC .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (02) :430-444

[6] Image quality assessment: From error visibility to structural similarity [J].

Wang, Z ;

Bovik, AC ;

Sheikh, HR ;

Simoncelli, EP .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2004, 13 (04) :600-612

[7]

Wang Zhou, 2003, P IEEE AS C SIGN SYS

[8] A cooperative algorithm for stereo matching and occlusion detection [J].

Zitnick, CL ;

Kanade, T .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (07) :675-684

[9]

2007, MIDDLEBURY STEREO VI

← 1 →