Pixel Level Image Fusion Scheme based on Accumulated Gradient and PCA Transform

摘要：

A new image fusion scheme based on local accumulated gradient and PCA transform is prese nted. The image fusion process begins by taking the wavelet transform of the source images. Then, the fused local detailed coefficients are chosen according to local accumulated gradient rule, and the fused approximate coefficients are acquired by selection or averaging rule based on PCA. Finally, the fused image can be obtained by taking the inverse wavelet transform of the fused composite coefficients. The experimental results show that the proposed method is an efficient approach to image fusion

关键词： Image Fusion Accumulated Gradient PCA Transform.

作者: Xingwang Zhang Xiangui Liu

作者单位: School of Automation Science and Electrical Engineering, Beihang University ,Beijing 100083,China Department of Mechanical and Power Engineering,,Nanchang Institute of Technology ,Nanchang, China 33

会议类型: 国际会议

会议名称: The 9th International Conference on Computer-Aided Industrial Design & Conceptual Design(CAID&CD2008)(2008年国际计算机辅助工业设计与概念设计学术会议)

会议地点: 昆明

会议语种:英文

页码: 594-598

在线出版日期: 2008-11-22（万方平台首次上网日期，不代表论文的发表时间）