DocumentCode :
438928
Title :
A new pixel-level multi-focus image fusion algorithm based on evolutionary strategy
Author :
Ming, Li ; Yan, Wu ; Shunjun, Wu
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Volume :
2
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
810
Abstract :
A new method is developed to merge two spatially registered images with diverse focus based on multiresolution wavelet decomposition and evolutionary strategy (ES). At first, the wavelet decomposition without down-sampling is used to perform an addition of wavelet high-frequency components of each image. Then, in terms of difference 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; wavelet transforms; area-based energy feature; evolutionary strategy; multiresolution wavelet decomposition; pixel-level multifocus image fusion algorithm; spatially registered images; wavelet high-frequency components; wavelet transform; Energy resolution; Focusing; Frequency; Image fusion; Image resolution; Layout; Pixel; Signal processing algorithms; Target recognition; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1468943
Filename :
1468943
Link To Document :
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