Multifocus Color Image Fusion on Feature Level

摘要：

Image fusion is a process to integrate complementary information from multiple images of the same scene such that the fused image contains a more accurate description of the scene than any of the individual source images. In this paper we present a new feature level fusion algorithm for multifocus color images. First, the intensity components of the source images are separated in IntensityHue-Saturation space. Then the components are decomposed by the redundant wavelet transform to build a decision map using the extracted subpixel edge features. Finally, the fused image is obtained according to the map in spatial domain. The experimental results show that the proposed algorithm can achieve good results.

关键词： fusion multifocus image feature level subpixel edge redundant wavelet transform

作者: LI Xu HE Mingyi

作者单位: chool of Electronics and Information Northwestern Polytechnical University Xian, P.R.China School of Electronics and Information Northwestern Polytechnical University Xian, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 541-544

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）