Image Fusion based on Regional Energy and Standard Deviation

摘要：

Image fusion technology of in fra red and visible light could enhance the drivers visual effects in low visibility circumstance, and reduce the probability of the traffic accidents. Focused on the application of wavelet transform in image fusion. a image fusion method was proposed based on a regional energy and standard deviation for the infrared and visual light images In this method, low-frequency approximation component of wavelet tra nsform were obtained by a regional energy-weighted fusion rule. and three highfrequency details components were composed by utilizing the regional standard deviation-weighted fusion rule Through the two groups of infrared and visual light image fusion experiments show that: the standard deviation of the image produced by the method increased 41 8％ and 67 2％ and the average brightness increased from 34.6％ to 55.1％ compared with simpje method, respectively.

关键词： infrared image image fusion wavelet transform standard deviation visual enhancement

作者: XING Su-xia CHEN Tian-hua LI Jing-xian

作者单位: School of Computer and Information Engineering Beijing Technology and Business University Beijing, China l00048

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 739-743

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）