HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras

Wu SUN; Xue-fei JIN; Heng-yi LÜ; Hai-long LIU

doi:10.3788/OPE.20182604.0944

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HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras

Information Sciences | 更新时间：2020-07-05

- HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras
- Optics and Precision Engineering Vol. 26, Issue 4, Pages: 944-950(2018)
- 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
  3.吉林大学中日联谊医院, 吉林长春 130033
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20182604.0944
  CLC： V447.3;TN386.5
- Received：22 August 2017，
  
  Accepted：12 September 2017，
  
  Published：25 April 2018
- 稿件说明：
移动端阅览
Wu SUN, Xue-fei JIN, Heng-yi LÜ, et al. HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras[J]. Optics and precision engineering, 2018, 26(4): 944-950.
DOI：

Wu SUN, Xue-fei JIN, Heng-yi LÜ, et al. HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras[J]. Optics and precision engineering, 2018, 26(4): 944-950. DOI： 10.3788/OPE.20182604.0944.

摘要

为了提高推扫式遥感相机的动态范围，对应用DTDI（Digital domain Time Delay Integration）技术并采用固定积分级数的成像方法以及高动态范围图像的显示方法等进行研究。首先介绍了DTDI技术基本原理，然后利用该技术突破传统模拟域TDI的满阱电荷限制，获得更高深度、更大动态范围的灰度图像数据，进而拓展了推扫式遥感相机的动态范围。最后结合图像熵和图像灰度分布方差构造评价函数，并将其作为判据选择被关注目标高动态范围图像的最优显示窗口，将信息量最大、层次最为丰富的区间自动显示出来。计算和实验结果表明，当固定积分级数为64的时候，推扫式遥感相机的动态范围可以有效地提高36.124 dB；基于评价函数的显示窗口自动选取方法较人工选择能够更加快速、准确地显示最优结果。本文提出的方法能够基本满足推扫式遥感相机领域大动态范围成像及选择显示的需求。

Abstract

In order to increase the dynamic range of push-broom remote sensing cameras

An imaging method which applied the DTDI (Digital domain Time Delay Integration) technology with fixed integral stages and display method of HDR (High Dynamic Range) image was investigated in this paper. Firstly

the principle of DTDI was introduced. Secondly

by adopting the DTDI technology with fixed integral stage

the full well limitation could be overcome. Thus

a picture with higher image bit depth and larger dynamic range could be achieved

and then the dynamic range of the push-broom remote sensing camera got extended. Finally

a new evaluation function based on the entropy and histogram of an image was constructed

and it could be used for automatically selecting the best show window covering the most abundant information and the richest gradation from the original HDR image. The calculation and experimental results indicate that when the fixed integration stage is 64

the dynamic range of the push-broom remote sensing camera increases by 36.124 dB. And the automatic selection by the constructed evaluation function can get the best result more accurately and quickly than the artificial selection. The method proposed in this paper can meet the demands of HDR imaging and display in the field of push-broom remote sensing cameras.

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references

王春萌. 多曝光图像融合关键技术的研究[D]. 济南: 山东大学, 2015: 3.

WANG CH M. Research on key technologies of exposure fusion [D]. Jinan: Shandong University, 2015: 3. (in Chinese)

李兆涵. 超宽动态范围图像传感器的研究[D]. 长春: 吉林大学, 2016: 83-84.

LI ZH H. Research on ultra wide dynamic range image sensor [D]. Changchun: Jilin University, 2016: 83-84. (in Chinese )

郭剑桥. 多曝光融合算法研究及HDR图像合成与色调映射算法设计实现[D]. 合肥: 中国科学技术大学, 2016: 3.

GUO J Q. Research of multi-exposure fusion algorithm and design and implementation of HDR image merging and tone mapping algorithms [D]. Hefei: University of Science and Technology of China, 2016: 3. (in Chinese)

ROBERTSON M A, BORMAN S, STEVENSON R L. Dynamic range improvement through multiple exposures[C]. Proceedings of 1999 International Conference on Image Processing , IEEE , 1999: 159-163.

DEBEVEC P E, MALIK J. Recovering high dynamic range radiance maps from photographs[C]. Proceedings of the 24 th Annual Conference on Computer Graphics and Interactive Techniques , ACM , 1997: 369-378.

MEI Y, QIU G. Recovering high dynamic range radiance maps from photographs revisited: a simple and important fix[C]. Proceedings of 2013 Seventh International Conference on Image and Graphics , IEEE , 2013: 23-28.

李卫中, 易本顺, 邱康, 等.细节保留的多曝光图像融合[J].光学精密工程, 2016, 24(9):2283-2292.

LI W ZH, YI B SH, QIU K, et al.. Detail preserving multi-exposure image fusion[J]. Opt. Precision Eng., 2016, 24(9):2283-2292. (in Chinese)

HUO Y Q, ZHANG X D. Single image-based HDR imaging with CRF estimation[C]. Proceedings of 2016 International Conference on Communication Problem-Solving , IEEE , 2016: 1-3.

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)

CEYLAN O, KAYAHAN H, YAZICI M, et al.. Implementation of pixel level digital TDI for scanning type LWIR FPAs[J]. SPIE, 2014, 9070:7.

孙宏海, 何舒文, 吴培, 等.高动态科学级CMOS相机设计与成像分析[J].液晶与显示, 2017, 32(3):240-248.

SUN H H, HE SH W, WU P, et al.. Design and imaging analysis of high dynamics scientific CMOS camera[J]. Chinese Journal of Liquid Crystals and Displays, 2017, 32(3):240-248. (in Chinese)

吕恒毅, 刘杨, 薛旭成.遥感相机中时间延时积分电荷耦合器件积分级数的最优选择[J].光子学报, 2012, 41(6):642-648.

LÜ H Y, LIU Y, XUE X CH. Selecting the optimal integral grade for TDI CCD in remote sensing cameras[J]. Acta Photonica Sinica, 2012, 41(6):642-648. (in Chinese)

刘则洵, 万志, 李宪圣, 等.时间延迟积分CCD空间相机信噪比的影响因素[J].光学精密工程, 2015, 23(7):1829-1837.

LIU Z X, WAN ZH, LI X SH, et al.. Influence factors on SNR of TDICCD space camera[J]. Opt. Precision Eng., 2015, 23(7):1829-1837. (in Chinese)

方竞宇. 高动态范围彩色图像捕获与显示方法及技术研究[D]. 杭州: 浙江大学, 2016: 78-82.

FANG J Y. Study on methodology and technology of acquisition and rendering for high dynamic range color images [D]. Hangzhou: Zhejiang University, 2016: 78-82. (in Chinese)

袁方. 基于智能车的自动曝光研究[D]. 武汉: 湖北工业大学, 2016: 14-28.

YUAN F. Research of automatic exposure based on intelligent vehicle [D]. Wuhan: Hubei University of Technology, 2016: 14-28. (in Chinese)

GONZALEZ R C, WOODS R E. Digital Image Processing[M]. 3rd ed. Beijing:Publishing House of Electronics Industry, 2010.

潘锋, 闫贝贝, 肖文, 等.基于数学形态学的数字全息再现像融合方法[J].中国光学, 2015, 8(1):64.

PAN F, YAN B B, XIAO W, et al.. Digital holographic reconstruction image fusion based on mathematical morphology[J]. Chinese Optics, 2015, 8(1):64. (in Chinese)

王浩, 张叶, 沈宏海, 等.图像增强算法综述[J].中国光学, 2017, 10(14):445-446.

WANG H, ZHANG Y, SHEN H H, et al.. Review of image enhancement algorithms[J]. Chinese Optics, 2017, 10(14):445-446. (in Chinese)

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