An Image Fusion Algorithm based on directional local energy of Wavelet Transform

摘要：

A new image fusion algorithm based on wavelet transform is proposed, according to the directional characteristics of the high-frequency. Using wavelet transform decomposes an image into low-frequency subbands and high-frequency sub-bands in different scale, low-frequency sub-band using the correlation coefficients based on spatial frequency to determine the fusion rule; for each high-frequency sub-bands under their directional characteristic, using the local energy to determine the high-frequency coefficients. Experimental results and evaluation parameters show that this algorithm is effective and provide a performance better than that of other methods.

关键词： wavelet transform image fusion fusion rule directional characteristic local energy

作者: Zhou Shu-dao Wang Min Liu Zhi-hua Huang Feng Bai Heng

作者单位: Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101,China Institute of Meteorology, PLA University of Science and Technology,Nanjing 211101, China Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 127-131

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）