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《JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY》 1997-04
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Multiresolution Image Fusion Based on Wavelet Transform

Jiang Xiaoyu Gao Zhiyun Zhou Liwei (Department of Optical Engineering, Beijing Institute of Technology, Beijing 100081)  
The MRA(multiresolution analysis) of an image based on wavelet transform supplies a multichannel decomposition of an image. The image details are projected to different levels of the wavelet coefficients pyramid according to their scales. In this data structure, multiimage fusion is realized by several different area based feature selection methods, including the energy based criterion, edge detection method and using wavelet coefficient direction information in feature selection. It is shown that these kinds of algorithms are particularly effective to overcome the image fusion difficulties caused by the gray scale characteristics discrepancy and the feature inconsistency of the source images. 〖KH*2D]
【Fund】: 国防科技预研基金
【CateGory Index】: TN919.8
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【References】
Chinese Journal Full-text Database 10 Hits
1 LI Li;CHENG Gang;LI Weilin;Department of Information Engineering,Changchun University of Technology College of Humanities Information;;Biomedical image fusion based on wavelet transformation[J];长春工业大学学报;2016-06
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【Co-references】
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【Secondary References】
Chinese Journal Full-text Database 10 Hits
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