基于改进曝光评估和双金字塔的曝光融合  

Exposure Fusion Based on Improved Exposure Evaluation and Double Pyramids

作　　者：吴玲风 胡骏保 袁畅 Wu Lingfeng;Hu Junbao;Yuan Chang(College of Mechanical and Electrical Engineering,Guangdong University of Science and Technology,Dongguan,Guangdong 523083,China;Institute of Micro-Nano Optoelectronics,Shenzhen University,Shenzhen,Guangdong 518060,China;School of Materials Science&Engineering,Beijing Institute of Technology,Beijing 100081,China)

机构地区：[1]广东科技学院机电工程学院,广东东莞523083 [2]深圳大学微纳光电子学研究院,广东深圳518060 [3]北京理工大学材料学院,北京100081

出　　处：《激光与光电子学进展》2021年第14期156-163,共8页Laser & Optoelectronics Progress

摘　　要：为了获取高动态范围的图像,提出了一种基于改进曝光评估和双金字塔的多曝光图像融合方法。首先,优化了用于权重质量评价的曝光度测量指标,并构造了权重图;然后,结合分解权重图的高斯金字塔和分解原始图像的拉普拉斯金字塔,在不同尺度和分解层进行了曝光融合,以保留更多的图像细节信息。实验结果表明,相比原始图像、基于曝光评价和基于金字塔方法融合的图像,本方法融合的图像细节信息分别增加了23.5%、3.9%和0.9%。To obtain images having a high dynamic range,a multiexposure image fusion method based on an improved exposure evaluation and double pyramids is proposed in this paper.First,the exposure measurement index used for the evaluation of weight quality is optimized,and a weight image is constructed.Then,the Gaussian pyramid for decomposing weight images and the Laplacian pyramid for decomposing the original image are combined,and exposure fusion is implemented at different scales and decomposition layers to preserve more image detail information.Experimental results show that compared with the original image,the exposure-evaluation-based image,and the pyramid-based image,the image detail information fused by the method improve by 23.5%,3.9%and 0.9%,respectively.

关 键 词：图像处理 曝光融合 图像质量评价 金字塔算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]