DocumentCode :
2732087
Title :
Multi-focus image fusion based on wavelet decomposition and evolutionary strategy
Author :
Ming, Li ; Yan, Wu ; Shunjun, Wu
Author_Institution :
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
951
Abstract :
A new method is developed to merge two spatially registered images with different focus based on multi-resolution wavelet decomposition and evolutionary strategy (ES). At first, the wavelet decomposition without down-sampling is used to perform an adding of wavelet high-frequency components of each image. Then, in terms of differences of area-based energy feature in two original images, ES is adopted to partition the region and perform the fusion. The experimental results show that the proposed method can achieve better fusion performance than wavelet transform (WT) method.
Keywords :
evolutionary computation; image resolution; sensor fusion; wavelet transforms; data fusion; evolutionary strategy; multifocus image fusion; multiresolution wavelet decomposition; spatially registered images; wavelet transform method; Focusing; Frequency; Image fusion; Image resolution; Laboratories; Layout; Pixel; Radar signal processing; Target recognition; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1280758
Filename :
1280758
Link To Document :
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