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《Journal of Xi'an Jiaotong University》 2007-04
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Multifocus Image Fusion Algorithm Based on Region Statistics in Contourlet Domain

Yang Liu,Guo Baolong,Ni Wei(Institute of Intelligent Control and Image Engineering,Xidian University,Xi′an 710071,China)  
Utilizing the contourlet's advantages of multiscale,localization,directionality and anisotropy,a multifocus image fusion algorithm based on region statistics in contourlet domain is developed.Source images are firstly decomposed to the domain of the contourlet transform,the image fusion is then implemented in subbands with different scale and direction combining with region statistics.Regional variance and local energy are adopted as fusion rules in lowpass and highpass subbands,respectively.Finally the fused image is obtained through inverse transform.Experimental results show that the proposed method can detect image features more effectively and the fused image has better subjective visual effect.Compared to traditional gradient pyramid algorithm and wavelet based algorithm,the maximum of mean square error of the proposed algorithm is only 34.8% and 42.6% of the formers,respectively.
【Fund】: 国家自然科学基金资助项目(60572152);; 陕西省自然科学基金资助项目(2005F26)
【CateGory Index】: TP391.41
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