A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application

被引:568
作者
Zhang, Z [1 ]
Blum, RS [1 ]
机构
[1] Lehigh Univ, Dept Comp Sci & Elect Engn, Bethlehem, PA 18015 USA
关键词
image fusion; multiscale decomposition; multisensor fusion;
D O I
10.1109/5.775414
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a single image which is more suitable for human and machine perception or further image-processing tasks. In this paper, a generic image fusion framework based on multiscale decomposition is studied. This framework provides freedom to choose differ ent multiscale decomposition methods and different fusion rules. The framework includes ail of the existing multiscale-decomposition-based fusion approaches we found in the literature which did not assume a statistical model for the sour ce images. Different image fusion approaches are investigated based on this framework,. Some evaluation measures are suggested and applied to compare the performance of these fusion schemes for a digital camera application. The comparisons indicate that our-framework includes some new approaches which outperform the existing approaches Sol the cases Mie consider.
引用
收藏
页码:1315 / 1326
页数:12
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