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《Optical Technique》 2018-05
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Multi focus image fusion algorithm based on discrete Curvelet transform and adaptive energy model

ZHANG Qi;ZHAO Na;XIONG Weiqing;School of information engineering,Ningbo Dahongying University;School of information science and engineering,Ningbo University;  
The current widely used sub-band energy function of image fusion algorithm,usually only one sub-band energy function as a fusion coefficient,has led to lack of ability and robust performance.A multi focus image fusion algorithm based on discrete Curvelet transform coupled with adaptive energy model is proposed.The discrete Curvelet is used to decompose the source image quickly and finely,so as to obtain the low frequency sub-band and the high frequency subband of the image.The low frequency subband is divided into sub blocks,discrete Curvelet coefficients to construct the average energy function of the pixels in each segment corresponding to the establishment of adaptive energy model by averaging the energy function.An information entropy model is introduced to measure the information contained in the high frequency subbands.The spatial frequency model is used to measure the resolution of the high frequency subbands.By the information characteristics and the definition features of the high frequency sub-band,the high frequency subbands are fused.Simulation results show that compared with the current multi focus image fusion algorithm,the proposed algorithm has good performance in detail,and the fused image has better visual effects.
【Fund】: 浙江省自然科学基金(LQ18A030001)
【CateGory Index】: TP391.41
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