Objective pixel-level image fusion performance measure

被引:89
|
作者
Xydeas, C [1 ]
Petrovic, V [1 ]
机构
[1] Univ Lancaster, Dept Commun Syst, Lancaster LA1 4YR, England
来源
SENSOR FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS IV | 2000年 / 4051卷
关键词
D O I
10.1117/12.381668
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses the issue of objectively measuring the performance of pixel level image fusion systems. The proposed fusion performance metric models the accuracy with which visual information is transferred from the input images to the fused image. Experimental results clearly indicate that the metric is perceptually meaningful.
引用
收藏
页码:89 / 98
页数:10
相关论文
共 50 条
  • [1] Structure Similarity based Objective Metric for Pixel-level Image Fusion
    Hong, Richang
    Sun, Fuming
    2008 2ND INTERNATIONAL SYMPOSIUM ON SYSTEMS AND CONTROL IN AEROSPACE AND ASTRONAUTICS, VOLS 1 AND 2, 2008, : 1 - +
  • [2] Review of Pixel-Level Image Fusion
    杨波
    敬忠良
    赵海涛
    Journal of Shanghai Jiaotong University(Science), 2010, 15 (01) : 6 - 12
  • [3] Review of pixel-level image fusion
    Yang B.
    Jing Z.-L.
    Zhao H.-T.
    Journal of Shanghai Jiaotong University (Science), 2010, 15 (1) : 6 - 12
  • [4] Pixel-level image fusion: The case of image sequences
    Rockinger, O
    Fechner, T
    SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION VII, 1998, 3374 : 378 - 388
  • [5] Optimising multiresolution pixel-level image fusion
    Petrovic, V
    Xydeas, C
    SENSOR FUSION: ARCHITECTURES, ALGORITHMS AND APPLICATIONS V, 2001, 4385 : 96 - 107
  • [6] A multiscale approach to pixel-level image fusion
    Ben Hamza, A
    He, Y
    Krim, H
    Willsky, A
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2005, 12 (02) : 135 - 146
  • [7] Review on Technology of Pixel-level Image Fusion
    Li, Mingjing
    Dong, Yubing
    PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2, 2013, : 341 - 344
  • [8] Statistical Analysis of the Performance Assessment Results for Pixel-Level Image Fusion
    Liu, Zheng
    Blasch, Erik
    2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2014,
  • [9] An information measure for assessing pixel-level fusion methods
    Tsagaris, V
    Anastassopoulos, V
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING X, 2004, 5573 : 64 - 71
  • [10] Image fusion scheme of pixel-level for infrared and visible image
    Wang Jia
    Jiang Xiaoyu
    Ji Bogong
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1246 - 1249