基于重映射和曝光融合的HDR成像

吴玲风; 李娜; 胡骏保

doi:10.37188/CJLCD.2021-0112

您当前的位置：

首页 >

文章列表页 >

基于重映射和曝光融合的HDR成像

图像处理 | 更新时间：2021-12-10

- 基于重映射和曝光融合的HDR成像
- HDR imaging using remapping and exposure fusion
- 液晶与显示 2021年36卷第12期页码：1712-1719
- 作者机构：
  
  1.广东科技学院机电工程学院, 广东东莞 523083
  2.西安邮电大学通信与信息工程学院, 陕西西安 710121
  3.深圳大学微纳光电子学研究院, 广东深圳 518060
- 作者简介：
  
  [ "吴玲风(1992-), 女, 安徽安庆人, 硕士, 助教, 2019年于西安邮电大学获得硕士学位, 主要从事计算机视觉及图像处理方面的研究。E-mail: lfwu1822@163.com" ]
  [ "李娜(1981-), 女, 四川泸州人, 博士, 副教授, 2017年于长安大学获得博士学位, 主要从事机器视觉方面的研究。E-mail: lina114@xupt.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(41874173);广东科技学院青年项目(GKY-2021KYQNK-1)
- DOI：10.37188/CJLCD.2021-0112
  中图分类号： TP391.41
- 收稿日期：2021-04-21，
  
  修回日期：2021-06-19，
  
  纸质出版日期：2021-12
- 稿件说明：
移动端阅览
吴玲风, 李娜, 胡骏保. 基于重映射和曝光融合的HDR成像[J]. 液晶与显示, 2021,36(12):1712-1719.

Ling-feng WU, Na LI, Jun-bao HU. HDR imaging using remapping and exposure fusion[J]. Chinese journal of liquid crystals and displays, 2021, 36(12): 1712-1719.
吴玲风, 李娜, 胡骏保. 基于重映射和曝光融合的HDR成像[J]. 液晶与显示, 2021,36(12):1712-1719. DOI： 10.37188/CJLCD.2021-0112.

Ling-feng WU, Na LI, Jun-bao HU. HDR imaging using remapping and exposure fusion[J]. Chinese journal of liquid crystals and displays, 2021, 36(12): 1712-1719. DOI： 10.37188/CJLCD.2021-0112.

摘要

传统的高动态范围（HDR）成像方法需采集多幅图像，不仅容易引入视场误差，而且很难适用于新兴的HDR图像采集系统。为此，提出了一种基于重映射和多尺度曝光融合的简单有效的HDR成像方法。该方法只需要采集一组短、长曝光图像，通过人工重映射分别生成一系列多曝光序列；然后根据曝光评价因子求取多曝光序列权重图；接着对权重图进行高斯金字塔分解，并对多曝光序列进行拉普拉斯金字塔分解；最后基于多尺度曝光融合生成一幅细节保持良好的高质量HDR图像。实验结果表明，对比一些主流的算法，所提方法在多个场景测试中性能较好，图像质量在MEF-SSIM评分中得到较大提升。其中，相比基于梯度场的方法提升了13.33%，相比基于深度学习的方法提升了2.62%。所提方法为HDR成像领域提供了新的参考，可潜在地应用于基于CCD/CMOS的成像系统进行高质量HDR图像采集。

Abstract

Traditional high dynamic range (HDR) imaging methods need to capture multiple images

which is not only easy to introduce field of view errors

but also difficult to apply to the emerging image acquisition system. To this end

this paper proposes a simple and effective HDR imaging method based on remapping and exposure fusion. This method only needs to capture a pair of short and long exposure images

and a series of multi-exposure sequence can then be generated through remapping. Next

according to the exposure evaluation

the weight map of the sequence can be obtained. The weight map is decomposed by Gaussian pyramid

and the multi-exposure sequence is decomposed by Laplacian pyramid. Finally

a high-quality HDR image with good details is generated based on multi-scale fusion. Experimental results show that the proposed method performs better in multiple scene tests

and the image quality is greatly improved in the MEF-SSIM score compared with some mainstream algorithms. The image qulity is improved by 13.33% compared with GF-MEF

and improved by 2.62% compared with CNN-MEF. The proposed method provides a new reference for the field of HDR imaging

and can be potentially applied to CCD/CMOS-based imaging systems for high-quality image acquisition.

关键词

Keywords

references

宋可心 , 贾学志 , 李季 , 等 . 帘幕式CMOS全局曝光成像技术 . 光子学报 , 2019 . 48 ( 8 ): 0804003 DOI: 10.3788/gzxb20194808.0804003 http://doi.org/10.3788/gzxb20194808.0804003 .

K X SONG , X Z JIA , J LI , 等 . Design on global imaging mode based on electronic rolling shutter CMOS . Acta Photonica Sinica , 2019 . 48 ( 8 ): 0804003 DOI: 10.3788/gzxb20194808.0804003 http://doi.org/10.3788/gzxb20194808.0804003 .

P J LAPRAY , B HEYRMAN , D GINHAC . HDR-ARtiSt: an adaptive real-time smart camera for high dynamic range imaging . Journal of Real-Time Image Processing , 2016 . 12 ( 4 ): 747 - 762 . DOI: 10.1007/s11554-013-0393-7 http://doi.org/10.1007/s11554-013-0393-7 .

S BATTIATO , A CASTORINA , M MANCUSO . High dynamic range imaging for digital still camera: an overview . Journal of Electronic Imaging , 2003 . 44 ( 3 ): 459 - 469 . DOI: 10.1117/1.1580829 http://doi.org/10.1117/1.1580829 .

王峰 , 严利民 . 一种亮度分区和导向滤波相结合的色调映射算法 . 液晶与显示 , 2019 . 34 ( 10 ): 1000 - 1005 . DOI: 10.3788/YJYXS20193410.1000 http://doi.org/10.3788/YJYXS20193410.1000 .

F WANG , L M YAN . Tone mapping algorithm combining luminance partitioning and guiding filtering . Chinese Journal of Liquid Crystals and Displays , 2019 . 34 ( 10 ): 1000 - 1005 . DOI: 10.3788/YJYXS20193410.1000 http://doi.org/10.3788/YJYXS20193410.1000 .

T MERTENS , J KAUTZ , F VAN REETH . Exposure fusion: a simple and practical alternative to high dynamic rangephotography . Computer Graphics Forum , 2009 . 28 ( 1 ): 161 - 171 . DOI: 10.1111/j.1467-8659.2008.01171.x http://doi.org/10.1111/j.1467-8659.2008.01171.x .

朴永杰 , 徐伟 , 王绍举 , 等 . 高动态范围视频的多曝光图像序列快速融合 . 液晶与显示 , 2014 . 29 ( 6 ): 1032 - 1041 . DOI: 10.3788/YJYXS20142906.1032 http://doi.org/10.3788/YJYXS20142906.1032 .

Y J PIAO , W XU , S J WANG , 等 . Fast multi-exposure image fusion for HDR video . Chinese Journal of Liquid Crystals and Displays , 2014 . 29 ( 6 ): 1032 - 1041 . DOI: 10.3788/YJYXS20142906.1032 http://doi.org/10.3788/YJYXS20142906.1032 .

E REINHARD , G WARD , S PATTANAIK , 等 . High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting , 2nd ed : San Mateo, CA, USA Morgan Kaufmann , 2010 .

GU J W, HITOMI Y, MITSUNAGA T, et al . Coded rolling shutter photography: flexible space-time sampling[C]// Proceedings of 2010 IEEE International Conference on Computational Photography ( ICCP ). Cambridge, USA: IEEE, 2010.

C HESSEL . Simulated exposure fusion . Image Processing On Line , 2019 . 9 469 - 482 . DOI: 10.5201/ipol.2019.279 http://doi.org/10.5201/ipol.2019.279 .

B GU , W J LI , J WONG , 等 . Gradient field multi-exposure images fusion for high dynamic range image visualization . Journal of Visual Communication and Image Representation , 2012 . 23 ( 4 ): 604 - 610 . DOI: 10.1016/j.jvcir.2012.02.009 http://doi.org/10.1016/j.jvcir.2012.02.009 .

S T LI , X D KANG . Fast multi-exposure image fusion with median filter and recursive filter . IEEE Transactions on Consumer Electronics , 2012 . 58 ( 2 ): 626 - 632 . DOI: 10.1109/TCE.2012.6227469 http://doi.org/10.1109/TCE.2012.6227469 .

L F WU , J B HU , C YUAN , 等 . Details-preserving multi-exposure image fusion based on dual-pyramid using improved exposure evaluation . Results in Optics , 2021 . 2 100046 DOI: 10.1016/j.rio.2020.100046 http://doi.org/10.1016/j.rio.2020.100046 .

LI H, ZHANG L. Multi-exposure fusion with CNN features[C]// Proceedings of the 2018 25 th IEEE International Conference on Image Processing ( ICIP ). Athens: IEEE, 2018: 1723-1727.

K D MA , K ZENG , Z WANG . Perceptual quality assessment for multi-exposure image fusion . IEEE Transactions on Image Processing , 2015 . 24 ( 11 ): 3345 - 3356 . DOI: 10.1109/TIP.2015.2442920 http://doi.org/10.1109/TIP.2015.2442920 .

浏览量

102

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于改进颜色线模型的水下图像增强算法

基于Lab色彩空间的沙尘降质图像增强方法

基于改进YOLOx的弱光照环境车辆检测方法

基于GAN的轻量级水下图像增强网络