Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study

被引：552

作者：

Liu, Zheng ^{[1
,2
]}

Blasch, Erik ^{[3
]}

Xue, Zhiyun ^{[4
]}

Zhao, Jiying ^{[1
]}

Laganiere, Robert ^{[1
]}

Wu, Wei ^{[5
]}

机构：

[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada

[2] Natl Res Council Canada, Ottawa, ON K1A 0R6, Canada

[3] USAF, Res Lab AFRL, AFRL RYAA, Wright Patterson AFB, OH 45433 USA

[4] NIH, Natl Lib Med, Commun Engn Branch, Bethesda, MD 20894 USA

[5] Sichuan Univ, Coll Elect & Informat Engn, Chengdu 610064, Peoples R China

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2012年 / 34卷 / 01期

关键词：

Night vision; context enhancement; pixel-level image fusion; multiresolution analysis; objective fusion assessment; performance metric; image quality; INFORMATION MEASURE; MUTUAL INFORMATION; QUALITY; PERFORMANCE;

D O I：

10.1109/TPAMI.2011.109

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Comparison of image processing techniques is critically important in deciding which algorithm, method, or metric to use for enhanced image assessment. Image fusion is a popular choice for various image enhancement applications such as overlay of two image products, refinement of image resolutions for alignment, and image combination for feature extraction and target recognition. Since image fusion is used in many geospatial and night vision applications, it is important to understand these techniques and provide a comparative study of the methods. In this paper, we conduct a comparative study on 12 selected image fusion metrics over six multiresolution image fusion algorithms for two different fusion schemes and input images with distortion. The analysis can be applied to different image combination algorithms, image processing methods, and over a different choice of metrics that are of use to an image processing expert. The paper relates the results to an image quality measurement based on power spectrum and correlation analysis and serves as a summary of many contemporary techniques for objective assessment of image fusion algorithms.

引用

页码：94 / 109

页数：16

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