会议专题

Image Fusion Based on Gradient and Energy

Algorithms based on gradient using wavelet transform for image fusion only consider high-frequency information changes of the images, and to some extent neglect the richness of high-frequency information.To solve this problem, a new kind of image fusion algorithm based on gradient and energy is proposed. The algorithm takes into account the changes in highfrequency information and the richness of highfrequency information, effectively guarantees the richness of image information. When the highfrequency coefficients of the two images change significantly in one region, we use gradient for decision-making in the region. When the highfrequency coefficients of the two images do not change significantly in the region, we use energy of the high-frequency for decision-making in the region. In addition the method which uses local statistics to select a single point is proposed which is more flexible and better in reflecting the characteristics of the image information than the tradition regional fusion.

Algorithm formatting Image fusion gradient

Chen Ning Wen Yang Zhang hongyi

College of Mechanical Engineering Jimei University Xiamen,China Henan University of Sci&Tec Luoyang,China Xiamen University of Technology Xiamen,China

国际会议

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

上海

英文

2645-2650

2009-11-20(万方平台首次上网日期,不代表论文的发表时间)