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《Remote Sensing for Land & Resources》 2014-02
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Fusion algorithm of multifocus images based on wavelet transform

MENG Qiangqiang;YANG Guang;TONG Tao;ZHANG Jianfeng;Department of Aerospace Intelligence,Aviation University of Air Force;  
A new approach to the fusion of multifocus images based on wavelet transform is proposed to solve the problem that some parts of the images are blurred because of the different focus points. The images are firstly decomposed by using wavelet transform,and then the low and high frequency coefficients are fused by using different fusion strategies: the low frequency coefficient is fused with a rule weighted average of energy,while the high frequency coefficient is processed with the regional grads. After that the fused image is obtained by inverse wavelet transform. Experiments prove that the fused image obtained by the method has a better subjective visual effect and objective evaluation criteria,thus attaining a better result than other traditional fusion methods.
【CateGory Index】: TP391.41
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