A Novel Multiple Exposure Merging Method for High Dynamic Range Image Generation

摘要：

Multiple exposure-based methods have been an effective means for high dynamic range (HDR) imaging technology. However, current methods are greatly dependent on the estimation of scene irradiance and with huge computation. This work presents a novel HDR method based on the image partition and merging strategy. In the algorithm, all the images with various exposure times are firstly divided into some sub regions and a gradient method is im plemented to judge the well exposed one. With all the im age blocks have best exposing quality are selected, a blending function is proposed to remove the transition boundaries between these blocks and then it is used as the weight for the image merging. Experimental results on public image libraries are given to demonstrate its high performance.

关键词： high dynamic range imaging mutiple exposure image merging image gradient

作者: Xiaojun Wu Zhan Song Gang Yu

作者单位: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences The Chinese University of H Department of Mechanical Engineering & Automation Harbin Institute of Technology Shenzhen Graduate S

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: 74-77

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）