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Review of Pixel-Level Image Fusion 被引量：8

Review of Pixel-Level Image Fusion
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摘要 Image fusion can be performed at different levels:signal,pixel,feature and symbol levels.Almost all image fusion algorithms developed to date fall into pixel level.This paper provides an overview of the most widely used pixel-level image fusion algorithms and some comments about their relative strengths and weaknesses.Particular emphasis is placed on multiscale-based methods.Some performance measures practicable for pixel-level image fusion are also discussed.At last,prospects of pixel-level image fusion are made. Image fusion can be performed at different levels： signal, pixel, feature and symbol levels. Almost all image fusion algorithms developed to date fall into pixel level. This paper provides an overview of the most widely used pixel-level image fusion algorithms and some comments about their relative strengths and weaknesses. Particular emphasis is placed on multiscale-based methods. Some performance measures practicable for pixel-level image fusion are also discussed. At last, prospects of pixel-level image fusion are made.
作者 杨波 敬忠良 赵海涛
机构地区 College of Information and Electrical Engineering Institute of Aerospace Science and Technology
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2010年第1期6-12,共7页 上海交通大学学报（英文版）
基金 the National Natural Science Foundation of China (Nos. 60775022 and 60705006)
关键词 图像融合算法 像素级 审查 像素水平 相对优势 多尺度 image fusion, pixel-level, wavelets, performance evaluation
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TB852.1 [一般工业技术—摄影技术]
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参考文献35

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二级参考文献11

  • 1Qu Quihong,Zhang Dali,Yan Pingfan.Information Measure for Performance of Image Fusion[].Electronics Letters.2002
  • 2Li J,Chen G,Chi Z.Image coding quality assessment using fuzzy integrals with a three-component image model[].IEEE Transactions on Fuzzy Systems.2004
  • 3Xydaes C,Petrovi V.Objective image fusion performance measure[].Electronics Letters.2000
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  • 5Laliberte F,Gagnon L,Sheng Y.Registration and fusion of retinal images—an evaluation study[].IEEE Transactions on Medical Imaging.2003
  • 6Xiao G,,Jing Z L,Li J X,Leung H.Analysis of Color Distortion and Improvement for IHS Image Fusion[].Proceedingsof IEEE Intelligent Transportation Systems.2003
  • 7D. M. McKeown,S.D. Cochran, etal.Fusion of HYDICE Hyperspectral Data with Pachromatic Imagery for Cartographic Feature Extraction[].IEEE Transactions on Geoscience and Remote Sensing.1999
  • 8Ramesh C,Ranjith T.Fusion Performance Measuresand a Lifting Wavelet Transform Based Algorithm forImage Fusion[].Proceedings of of FUSION.2002
  • 9Muhammad S,Wachowicz M,de Carvalho L M T.Evaluation of wavelet transforms algorithms for mul-ti-resolution image fusion[].Proceedings ofth International Conference on Information Fusion.2002
  • 10Wang Q,Shen Y,Zhang Y.A quantitative method to evaluating the performance of hyper spectral data fusion[].Proceedings ofth IEEE Instrumenta-tion and Measurement Technology Conference.2002

共引文献57

同被引文献62

引证文献8

二级引证文献17

Journal of Shanghai Jiaotong university(Science)
2010年 第1期

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