基于长短曝光多因素融合的高动态图像生成算法  

High Dynamic Image Generation Algorithm Based on Multi-Factor Fusion of Long and Short Exposure

作　　者：艾维 刘天宇 AI Wei;LIU Tian-yu(Huazhong Institute of Electro-Optics-Wuhan National Laboratory for Optoelectronics,Wuhan 430223,China;China State Shipbuilding Star&Inertia Technology(Wuhan)Co.,Ltd.,Wuhan 430223,China)

机构地区：[1]华中光电技术研究所—武汉光电国家研究中心,湖北武汉430223 [2]中船星惯科技(武汉)有限公司,湖北武汉430223

出　　处：《光学与光电技术》2024年第5期9-13,共5页Optics & Optoelectronic Technology

基　　金：工业和信息化部高精度三维视觉测量仪重点项目(TC220H05N)资助。

摘　　要：针对相机实际使用场景提出了一种基于长短曝光的多因素融合的高动态图像生成算法,解决相机实际拍摄过程中动态范围窄的问题,有力地提升了相机的测量效果.本算法从长曝光和短曝光的图像数据出发,综合考虑了梯度、饱和度、亮度等多权重因素,并基于多尺度采样的图像生成融合出高动态图像,有效地克服了动态范围过大的问题,生成的图像更具真实感和细节感.实验结果表明,相较于传统算法,本算法在保持图像细节的同时,能够有效地减少噪声,并取得更好的成像效果,成像效果可提升 20%左右,在高动态图像领域具有一定的应用前景.A high-dynamic image generation algorithm based on multi-factor fusion of long and short exposures for the actual use scenarios of the camera is proposed in this paper,which solves the problem of narrow dynamic range in the actual shooting process of the camera and improves the measurement effect of the camera.Starting from the image data of long exposure and short exposure,the algorithm comprehensively considers multiple weight factors such as gradient,saturation,brightness,etc.,and generates and fuses a high dynamic image based on multi-scale sampling,which effectively overcomes the problem of excessive dynamic range and generates a more realistic and detailed image.Experimental results show that compared with the traditional algorithm,the proposed algorithm can effectively reduce noise and achieve better imaging results while maintaining image details,and the imaging effect can be improved by about 20%.

关 键 词：高动态图像 长短曝光融合 多因素融合 多尺度采样 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]