标题：Photometric linear relation based ghost-free exposure fusion approach
作者：Wang, Chunmeng ;Tu, Changhe
作者机构：[Wang, Chunmeng ;Tu, Changhe ] School of Computer Science and Technology, Shandong University, Jinan, Shandong, China
会议名称：2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014
会议日期：16 May 2014 through 18 May 2014
来源：PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing
关键词：exposure fusion; ghost removal; HDR; high dynamic range image; photometric relation
摘要：Exposure fusion is a high dynamic range (HDR) image generation method for directly fusing multi-exposure images of the same static scene. However, if the captured scene is dynamic with moving objects, serious ghost artefacts will appear in the moving regions of the generated HDR image. In this paper, we propose a novel ghost-free exposure fusion method based on photometric relation to detect moving regions in the dynamic scene. Our method makes full use of the linear relation between brightness and exposure time, instead of only using photometric order relation. Our method is easy to implement without camera response function estimate and complicated tone mapping operations. This method detects ghost regions better than the previous photometric order relation based method and generate the fused image with less artefacts. Many experimental results with different dynamic scenes show the effectiveness of our method. © 2014 IEEE.