摘要
In this paper,we propose a novel improved region energy based image fusion rule.The original images are firstly decomposed by using the lifting scheme of wavelet transform into four sub-bands:LL,LH,HL,HH,by studying principles and characteristics of the wavelet subbands,and we put emphasis on the high frequency subbands.Thus HH,HL,LH sub-bands,which represent three direction of high frequency details,are weighted by different size of three direction Gaussian kernel,then the energy based image fusion rule is applied with a optional size of window,thus the activity level of high frequency subbands are obtained,followed by a local region matching degree in the corresponding direction and resolution,an activity level of low frequency subband is calculated,then perform consistency verification on the selected wavelet coefficients,by doing the inverse wavelet transform the fused image is obtained.The performance of the proposed novel image fusion scheme is conducted and compared with a few existing image fusion algorithm,the experimental results show that the proposed method is an effective multi-focus image fusion algorithm.
In this paper, we propose a novel improved region energy based image fusion rule. The original images are firstly decomposed by using the lifting scheme of wavelet transform into four sub-bands： LL, LH, HL, HH, by studying principles and characteristics of the wavelet subbands, and we put emphasis on the high frequency subbands. Thus HH, HL, LH sub-bands, which represent three direction of high frequency details, are weighted by different size of three direction Gaussian kernel, then the energy based image fusion rule is applied with a optional size of window, thus the activity level of high frequency subbands are obtained, followed by a local region matching degree in the corresponding direction and resolution, an activity level of low frequency subband is calculated, then perform consistency verification on the selected wavelet coefficients, by doing the inverse wavelet transform the fused image is obtained. The performance of the proposed novel image fusion scheme is conducted and compared with a few existing image fusion algorithm, the experimental results show Keywords：
基金
Sponsored by the National Natural Science Foundation of China(Grant No.61077079)
the Ph.D.Programs Foundation of Ministry of Education of China(Grant No.20102304110013)
the Key Program of Heilongjiang Natural Science Foundation(Grant No.ZD201216)
the Program ExcellentAcademic Leaders of Harbin(Grant No.RC2013XK009003)
