摘要
为解决曝光图像信息传递效果差的问题,提出对多序列曝光图像进行垂直方向切片后卷积的方法,然后采用Anscombe变换与图像滤波算法结合,去除曝光图像中的除泊松噪声增强曝光图像的边缘与细节信息。仿真结果表明,在增强曝光图像多特征信息能力上,双边滤波较高斯滤波效果更明显,平均梯度提高了10.2%。基于滤波的多曝光图像特征融合重构可以有效的提高曝光图像的细节信息,提高图像传递质量。
In order to solve the problem of poor information transmission of exposure images,this paper proposes a convolution method for multi-sequence exposure images after slicing in the vertical direction,and then uses the Anscombe transform and image filtering algorithm to remove Poisson noise from the exposure images and enhance the edge and detail information of the exposure images.The simulation results show that bilateral filtering is more effective than Gaussian filtering in enhancing the multi-feature information ability of the exposed image,and the average gra⁃dient is increased by 10.2%.Multi-exposure image feature fusion and reconstruction based on filtering can effectively improve the details of the exposed image and improve the quality of image transmission.
作者
李振峰
高丽杰
张太行
LI Zhen-feng;GAO Li-jie;ZHANG Tai-hang(Information Center,Zhengzhou University of Science and Technology,Zhengzhou Henan 450064,China;Department of Information Engineering,Zhengzhou University of Science and Technology,Zhengzhou Henan 450064,China;Information Office,Henan University of Chinese Medicine,Zhengzhou Henan 450012,China)
出处
《计算机仿真》
北大核心
2023年第12期242-246,395,共6页
Computer Simulation
基金
赛尔网络下一代互联网技术创新项目(NGII20170318)
科技公关项目(182102210552)
[重点科研项目]河南省高等学校重点科研项目(教科技(2020)348号)(21A630035)。
关键词
多曝光图像融合
图像滤波
图像重构仿真
Multi-exposure image fusion
Image filtering
Image reconstruction simulation
