反射式拼接CCD相机非均匀性定标与校正

李晓杰; 任建伟; 李宪圣; 孙景旭; 万志; 刘洪兴

doi:10.3788/YJYXS20142906.1057

您当前的位置：

首页 >

文章列表页 >

反射式拼接CCD相机非均匀性定标与校正

成像技术与图像处理 | 更新时间：2020-08-12

- 反射式拼接CCD相机非均匀性定标与校正
- Non-uniformity calibration and correction of reflector-based mosaic CCD camera
- 液晶与显示 2014年29卷第6期页码：1057-1064
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2. 中国科学院大学, 北京 100049
- 作者简介：
- 基金信息：
  
  国家();863();高技术研究发展计划（No.863-2-5-1-13B）()
- DOI：10.3788/YJYXS20142906.1057
  中图分类号： V248.1
- 收稿日期：2014-03-06，
  
  修回日期：2014-03-17，
  
  纸质出版日期：2014-12-05
- 稿件说明：
移动端阅览
李晓杰, 任建伟, 李宪圣, 孙景旭, 万志, 刘洪兴. 反射式拼接CCD相机非均匀性定标与校正[J]. 液晶与显示, 2014,29(6): 1057-1064

LI Xiao-jie, REN Jian-wei, LI Xiang-sheng, SUN Jing-xun, WAN Zhi, LIU Hong-xing. Non-uniformity calibration and correction of reflector-based mosaic CCD camera[J]. , 2014,29(6): 1057-1064
李晓杰, 任建伟, 李宪圣, 孙景旭, 万志, 刘洪兴. 反射式拼接CCD相机非均匀性定标与校正[J]. 液晶与显示, 2014,29(6): 1057-1064 DOI： 10.3788/YJYXS20142906.1057.

LI Xiao-jie, REN Jian-wei, LI Xiang-sheng, SUN Jing-xun, WAN Zhi, LIU Hong-xing. Non-uniformity calibration and correction of reflector-based mosaic CCD camera[J]. , 2014,29(6): 1057-1064 DOI： 10.3788/YJYXS20142906.1057.

摘要

依据实验室辐射定标实验，校正反射式拼接CCD相机由渐晕现象引起的图像非均匀性。通过分析反射式拼接CCD相机成像非均匀性产生机理，明确焦平面辐照度非均匀性是造成相机图像非均匀性的主要原因；分别进行单片CCD辐照度响应度定标和整机均匀性定标实验；依据定标结果所得出的入射辐射亮度和在该亮度下每个像元实际接收到的辐射照度之间的关系，设计校正算法，得出每个像元的渐晕校正因子，实现渐晕图像非均匀性校正。校正结果显示：在一定入射辐射亮度范围内，原始积分球定标渐晕图像的非均匀性大于16%，用校正因子校正后，输出图像非均匀性下降到1%以内。经过非均匀性定标和校正的相机用于外场成像也取得了符合工程需要的满意效果。

Abstract

According to the radiometric calibration experiments in laboratory

the reflector-based mosaic CCD camera's image non-uniformity caused by vignetting phenomenon was corrected. Firstly

the image un-uniformity reasons of reflector-based mosaic CCD camera are analyzed

and the irradiance deviation received by different CCD pixels in focal plane is the essential reason for images' non-uniformity. Then

the CCD pixels' irradiance responsivity calibration experiment and the whole camera's non-uniformity calibration experiment were carried out in the laboratory

and the relationship between each pixel's receiving irradiance and camera's incident radiance was built. Lastly

a correction algorithm is put forward based on the above relationship to calculate CCD pixels' correction factors

and the correction factors were used to correct the vignetting image. The correct experiment indicates that

within a certain range of incident radiance

the non-uniformity of original calibration images are above 16%

and after correction

the values decreased to 1% or less. Besides

the correction factors were used to correct the images of outdoor experiments and it works very well.

关键词

Keywords

references

宋超,王瑞光,冯英翘. LED大屏幕显示校正系数配置系统[J]. 液晶与显示, 2013,28(3):392-397. Song C, Wang R G, Feng Y Q. Display calibration coefficient configuration system used in LED panel[J]. Chinese Journal of Liquid Crystals and Displays, 2013, 28(3):392-397.(in Chinese)[2] 宋超,王瑞光,陈宇,等. LED显示屏色域边界的快速计算[J]. 发光学报, 2013, 34(7):924-929. Song C, Wang R G, Chen Y, et al.Fast calculation of color gamut boundary for LED display panel[J].Chinese Journal of Luminescence, 2013, 34(7):924-929.(in Chinese)[3] Morovic J, Luo M R. The fundamentals of gamut mapping: A survey[J].Journal of Imaging Science and Technology, 2001, 45(3): 283-290.[4] Bonnier N, Schmitt F, Brette H, et al.Evaluation of spatial gamut mapping algorithms[C].14th Color and Imaging Conference Final Program and Proceedings,2006: 56-61.[5] Zoliker P, Simon K. Retaining local image information in gamut mapping algorithms[J].IEEE Transactions on Image Processing,2007, 16(3): 664-672.[6] Bala R, de Queiroz R, Eschbach R, et al.Gamut mapping to preserve spatial luminance variations[C].Proceeding of IS&T and SID's 8th Color Imaging Conference: Color Science and Engineering, 2000: 122-126.[7] 王宇庆. 局部方差在图像质量评价中的应用[J]. 中国光学, 2011, 4(5):531-536. Wang Y Q. Application of local variance in image quality assessment[J]. Chinese Optics, 2011, 4(5): 531-536.(in Chinese)[8] Zhang L, Zhang L, Mou X, et al. FSIM: A feature similarity index for image quality assessment[J].IEEE Transactions on Image Processing,2011, 20(8): 2378-2386.[9] Lichtenauer M S, Zoliker P, Lissner I, et al. Learning image similarity measures from choice data[C].Conference on Color in Graphics, Imaging, and Vision, CGIV 2012 Final Program and Proceedings, 2012: 24-30.[10] Achanta R, Shaji A, Smith K, et al. SLIC Superpixels compared to state-of-the-art superpixel methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012, 34(11): 2274-2282.[11] He K, Sun J, Tang X.Guided image filtering[C].11th European Conference on Computer Vision,Greece,2010:1-14.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

可见光面阵CCD响应非均匀性的检测与校正