user

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
相关论文
共 50 条
  • [1] STRUCTURAL SIMILARITY WEIGHTING FOR IMAGE QUALITY ASSESSMENT
    Gu, Ke
    Zhai, Guangtao
    Yang, Xiaokang
    Zhang, Wenjun
    Liu, Min
    [J]. ELECTRONIC PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2013,
  • [2] Image quality assessment based on perceptual structural similarity
    Rao, D. Venkata
    Reddy, L. Pratap
    [J]. PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2007, 4815 : 87 - 94
  • [3] Image Quality Assessment Based on DCT and Structural Similarity
    Lv, Dan
    Bi, Du-Yan
    Wang, Yuan
    [J]. 2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [4] Equalized Structural Similarity Index for Image Quality Assessment
    Capodiferro, L.
    Mangiatordi, F.
    Di Claudio, E. D.
    Jacovitti, G.
    [J]. PROCEEDINGS OF THE 7TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2011), 2011, : 420 - 424
  • [5] Sparse Structural Similarity for Objective Image Quality Assessment
    Zhang, Xiang
    Wang, Shiqi
    Gu, Ke
    Jiang, Tingting
    Ma, Siwei
    Gao, Wen
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 1561 - 1566
  • [6] Color Image Quality Assessment Based on Structural Similarity
    卢芳芳
    赵群飞
    杨根科
    [J]. Journal of Donghua University(English Edition), 2010, 27 (04) : 443 - 450
  • [7] Image quality assessment based on the perceived structural similarity index of an image
    Yao, Juncai
    Shen, Jing
    Yao, Congying
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (05) : 9385 - 9409
  • [8] Objective Quality Assessment for Image Retargeting Based on Structural Similarity
    Fang, Yuming
    Zeng, Kai
    Wang, Zhou
    Lin, Weisi
    Fang, Zhijun
    Lin, Chia-Wen
    [J]. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2014, 4 (01) : 95 - 105
  • [9] Statistical estimation of the structural similarity index for image quality assessment
    Osorio, Felipe
    Vallejos, Ronny
    Barraza, Wilson
    Maria Ojeda, Silvia
    Alejandro Landi, Marcos
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2022, 16 (04) : 1035 - 1042
  • [10] Image quality assessment in DCT domain based on structural similarity
    Lü, Dan
    Bi, Du-Yan
    [J]. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2011, 41 (06): : 1771 - 1776
12345