用于高动态范围图像生成的CCD辐照度标定

江登表1; 李勃1; 陈启美1

doi:10.3788/OPE.20132111.2980

您当前的位置：

首页 >

文章列表页 >

用于高动态范围图像生成的CCD辐照度标定

信息科学 | 更新时间：2020-08-12

- 用于高动态范围图像生成的CCD辐照度标定
- CCD irradiance calibration algorithm for HDR image acquisition
- 光学精密工程 2013年21卷第11期页码：2980-2988
- 作者机构：
  
  1. 南京大学电子科学与工程学院,江苏南京,210093
  2. 南京大学镇江高技术研究院,江苏镇江,212000
- 作者简介：
- 基金信息：
  
  江苏省自然科学基金(BK20130473)
- DOI：10.3788/OPE.20132111.2980
  中图分类号： TP394.1;TN386.5
- 收稿日期：2013-06-20，
  
  修回日期：2013-09-17，
  
  网络出版日期：2013-11-22，
  
  纸质出版日期：2013-11-15
- 稿件说明：
移动端阅览
江登表, 李勃, 陈启美. 用于高动态范围图像生成的CCD辐照度标定[J]. 光学精密工程, 2013,21(11): 2980-2988

JIANG De-Biao, LI Bo, CHEN Qi-Mei. CCD irradiance calibration algorithm for HDR image acquisition[J]. Editorial Office of Optics and Precision Engineering, 2013,21(11): 2980-2988
江登表, 李勃, 陈启美. 用于高动态范围图像生成的CCD辐照度标定[J]. 光学精密工程, 2013,21(11): 2980-2988 DOI： 10.3788/OPE.20132111.2980.

JIANG De-Biao, LI Bo, CHEN Qi-Mei. CCD irradiance calibration algorithm for HDR image acquisition[J]. Editorial Office of Optics and Precision Engineering, 2013,21(11): 2980-2988 DOI： 10.3788/OPE.20132111.2980.

摘要

为了使低动态范围（LDR）图像采集设备能够生成高动态范围（HDR）图像，研究了对同一场景进行多次曝光生成HDR图像的技术，提出了不苛求输入图像为低噪声的CCD辐照度标定方法。为避免参数个数过多导致参数求解偏离全局最优值，构建了大幅削减参数个数的能量函数，该能量函数由CCD辐照度响应曲线参数模型、残差惩罚函数、权重函数3部分组成；分别使用低拟合误差的EMoR参数模型、抑制图像高斯噪声的平方和残差惩罚函数、平衡图像噪声与截止域干扰的权重函数最优实现能量函数的各个部分，继而通过快速迭代和精确迭代相切换的Levenberg Marquardt(LM)算法最小化能量函数求解参数。实验结果表明，依据图像噪声大小和参数模型参数个数的不同，拟合响应曲线的均方根误差RMSE\[0.0022

0.0163\]，精度提高了39%~90%，处理时间缩短了38%~56%，得到的HDR-LDR映射图更忠实地反映了LDR图像序列的色彩特征，且明暗细节清晰可见。

Abstract

To acquire a High Dynamic Range(HDR) image from the Low Dynamic Range(LDR) image acquisition equipment

the HDR image production technology was researched based on different exposure images in the same scene. Then

a CCD irradiance calibration method which doesn't require low noise images as the input was proposed. To avoid the deviation from the global optimum solution by excessive number of parameters

an energy function with fewer parameters consisting of the parameter model of CCD irradiance response curve

a residual penalty function

and a weighting function was proposed. The energy function was optimized by a low fitting error EMoR parameter model

squared residual penalty function suppressing image Gaussian noise

and the weighting function balancing image noise with deadline domain interference. Then the parameters were solved by minimizing energy function with Levenberg Marquardt(LM) algorithm which switched from rapid iteration to accurate iteration. Experimental results indicate that

with different number of model parameters and intensities of image noise

the response curve fitting Root Mean Squared Error(RMSE)\[0.0022

0.0163\]

the accuracy is increased by 39%-90%

the processing time is reduced by 38%-56%

and the obtained HDR-LDR mapping image is more similar with LDR image sequences and all the details of bright and dark regions are visible clearly.

关键词

Keywords

references

薛旭成, 韩诚山, 薛栋林,等. 应用双排TDI CCD提高空间推扫遥感相机动态范围[J]. 光学精密工程, 2012,20(12): 2791-2795.XUE X CH, HAN CH SH, XUE D L, et al.. Increasing dynamic range of space push-broom remote sensing camera by two-row TDI CCD [J]. Opt. Precision Eng., 2012,20(12):2791-2795.(in Chinese)[2]MANN S，PICARD R W. Being Undigital with digital cameras: extending dynamic range by combining differently exposed pictures[C]. Proceedings of the Conference on Imaging Science and Technology, Los Angeles,USA,1995:422-428.[3]DEBEVEC P E, MALIK J. Recovering high dynamic range radiance maps from photographs[C]. Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles,USA:ACM, 1997:369-378.[4]章卫祥,周秉锋.一个稳健的用于HDR图像的相机响应函数标定算法[J]. 计算机学报,2006,29 (4) :658-661.ZHANG W X, ZHOU B F. A robust HDR image calibration algorithm for camera response function[J]. Chinese Journal of Computer,2006,29(4) :658-661.(in Chinese)[5]GROSSBERG M D, NAYAR S K. Modeling the space of camera response functions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(10):1272-1282.[6]任建伟, 张艳琪, 叶钊,等. CCD辐射响应函数矩阵的建立与应用[J]. 光学精密工程, 2012,20(5): 957-962.REN J W, ZHANG Y Q, YE ZH, et al.. Establishment and application of CCD radiation response function matrix [J]. Opt.Precision Eng.,2012,20(5): 957-962.(in Chinese)[7]MITSUNAGA T, NAYAR S K. Radiometric self calibration [C]. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Fort Collins,USA:IEEE,1999,374-380.[8]张晓龙，刘英，孙强.高精度非制冷长波红外热像仪的辐射标定[J].中国光学，2012，5（3）：235-241.ZHANG XL, LIU Y, SUN Q. Radiometric calibration of uncooled long-wave infrared thermal imager with high-precision [J]. Chinese Optics., 2012,5(3):235-241. (in Chinese)[9]任建伟,刘则洵,万志,等.离轴三反宽视场空间相机的辐射定标[J]. 光学精密工程,2010,18(7):1491-1497.REN J W, LIU Z X, WAN ZH, et al.. Radiometric calibration of off-axis three-mirror-anastigmat spacecamera with wide viewing field [J]. Opt.Precision Eng.,2010,18(7):1491-1497.(in Chinese)[10]陈健，王伟国，高慧斌，等.紫外探测器的辐射定标及标准传递[J]. 中国光学，2012，5（4）：423-430.CHEN J, WANG W G, GAO H B, et al.. Radiation calibration for UV detectors and standard transferring [J]. Chinese Optics., 2012,5(4):423-430. (in Chinese)[11]GROSSBERG M D, NAYAR S K. Determining the camera response from images: What is knowable [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25(11):1455-1467.[12]MORE J J. The levenberg-marquardt algorithm implementation and theory [J]. Numerical Analysis, 1978，630:105-116.[13]ROSIN P L. Thresholding for change detection[C]. Proceedings of the 6th International Conference on Computer Vision, Bombay, India: IEEE, 1998, 274-279.[14]王红睿，方伟.自动寻日的太阳辐照绝对辐射计[J].中国光学，2011，4（3）：252-258.WANG H R, FANG W. Solar irradiance absolute radiometer with ability of automatic solar tracking[J]. Chinese Optics., 2011,4(3):252-258. (in Chinese)

浏览量

120

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于光纹特征的激光主动照明图像去模糊

CCD与CMOS图像传感器辐射效应测试系统

测绘相机焦平面CCD交错拼接中重叠像元数计算

火炮稳定精度图像测试系统

CCD分段测量的光学位移测量系统