期刊文献+

高动态范围成像研究进展 被引量:9

Recent research in high dynamic range imaging
下载PDF
导出
摘要 高动态范围成像技术是近年来图像处理、计算机图形学等领域的研究热点。基于高动态范围成像技术的主要流程,从高动态范围场景的捕获、高动态范围图像的合成、色调映射、当前高动态范围成像技术遇到的挑战以及高动态范围成像的发展趋势等5个方面,综述高动态范围成像技术的研究进展。 High dynamic range(HDR)imaging can precisely capture the scene irradiance,which has been a hot research topic in image processing and computer graphics for two decades.Based on the main flow of HDR imaging,the recent research and advances in HDR imaging are reviewed in detail,including the methods of capturing HDR scenes,the ways to combine exposurebracketed images into an HDR image,tone mapping,the challenges and the development trend in HDR imaging.
出处 《西安邮电大学学报》 2016年第3期1-14,共14页 Journal of Xi’an University of Posts and Telecommunications
基金 公安部技术研究计划重点资助项目(2014JSYJA018)
关键词 高动态范围成像 多曝光 辐射亮度 色调映射 去鬼影 单次曝光高动态范围成像 high dynamic range imaging multiple exposure radiance tone mapping deghosting single-shot high dynamic range imaging
  • 相关文献

参考文献74

  • 1REINHARD E,HEIDRICH W,DEBEVEC P,et al.High dynamic range imaging:acquisition,display,and image-based lighting[M/OL].2nd ed.San Mateo:Morgan Kaufmann,2010:1-594[2015-11-22].http://www.doc88.com/p-0019918551381.html.
  • 2DXOMARK.DxOMark Sensor scores[EB/OL].[2015-11-22].http://www.dxomark.com/About/Sensor-scores/Use-Case-Scores.
  • 3Photographer:Gustave Le Gray[EB/OL].[2015-11-22].http://www.getty.edu/art/exhibitions/le_gray/index.html.
  • 4MANN S,PICARD R W.On being"undigital"with digital cameras:Extending Dynamic Range by Combining Differently Exposed Pictures[C/OL]//Proceedings of IS&T 48th Annual Conference.Washington:Society for Imaging Science and Technology,1995:442-448[2015-11-22].http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3141.
  • 5DEBEVEC P E,MALIK J.Recovering High Dynamic Range Radiance Maps from Photographs[C/OL]//Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques.Los Angeles:ACM,1997:369-378[2015-11-22].http://dl.acm.org/citation.cfm?doid=1401132.1401174.DOI:10.1145/1401132.1401174.
  • 6MITSUNAGA T,NAYAR S K.Radiometric self calibration[C/OL]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Fort Collins:IEEE,1999,1:374-380[2015-11-22].http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=786966&tag=1.DOI:10.1109/CVPR.1999.786966.
  • 7SEN P,KALANTARI N K,YAESOUBI M,et al.Robust patch-based HDR reconstruction of dynamic scenes[J/OL].ACM Transactions on Graphics,2012,31(6):203[2015-11-22].http://dl.acm.org/citation.cfm?id=2366222.DOI:10.1145/2366145.2366222.
  • 8KALANTARI N K,SHECHTMAN E,BARNES C,et al.Patch-based high dynamic range video[J/OL].ACM Transactions on Graphics,2013,32(6):202[2015-11-22].http://dl.acm.org/citation.cfm?doid=2508363.2508402.DOI:10.1145/2508363.2508402.
  • 9KRONANDER J,GUSTAVSON S,BONNET G,et al.A unified framework for multi-sensor HDR video reconstruction[J/OL].Signal Processing:Image Communication,2014,29(2):203-215[2015-11-22].http://www.sciencedirect.com/science/article/pii/S0923596513001355.DOI:10.1016/j.image.2013.08.018.
  • 10TOCCI M D,KISER C,TOCCI N,et al.A versatile HDR video production system[J/OL]ACM Transactions on Graphics,2011,30(4):41[2015-11-22].http://dl.acm.org/citation.cfm?doid=2010324.1964936.DOI:10.1145/2010324.1964936.

二级参考文献15

  • 1Reinhard E, Ward G P, Wang B, et al. High Dynamic Range Imaging z Acquisition, Display and Image-based Lighting[M]. San Mateo: Morgan Kaufmann, 2005.
  • 2Nayar S, Mitsunaga T. High dynamic range imaging: Spatially varying pixel exposures[C]//IEEE Confer- ence on Computer Vision and Pattern Recognition. Los Alamitos: IEEE, 2000: 472-479.
  • 3Aggarwal M, Ahuja N. Split aperture imaging for high dynamic range[J]. International Journal of Com- puter Vision, 2004,58(1): 7-17.
  • 4Kang S B, Uyttendaele M, Winder S, et al. High dy- namic range video[C]//ACM SIGGRAPH 2003 Pa- pers. New York : Association for Computing Machin- ery, 2003: 319-325.
  • 5Michael D T, Chris K, Nora T, et al. A Vesatile HDR Video Production System[C]//Proceedings of ACM SIGGRAPH 2011. United States: Association for Computing Machinery, 2011:410-411.
  • 6Jinno T, Okuda M. Multiple Exposure Fusion for High Dynamic Range Image Acquisition[J]. IEEE Transactions on Image Processing, 2012, 21(1):358-365.
  • 7Moumene M E, Nourine R, Ziou D. Generalized Ex- posure Fusion Weights Estimation[C]//Canadian Con- ference on Computer and Robot Vision. Montreal : IEEE Computer Society , 2014:71-76.
  • 8Li S, Kang X. Fast multi-exposure image fusion with median filter and recursive filter[J]. IEEE Transac- tions on Consumer Electronics, 2012, 58(2) :626-632.
  • 9Zhang W, Cham W. Reference-guided exposure fusion in dynamic scenes[J]. Journal of Visual Communica- tion &Image Representation, 2012, 23(3):467-475.
  • 10Grossberg M D, Nayar S K. High Dynamic Range from Multiple Images: Which Exposures to Combine? [C]//Proc Iccv Workshop on Color & Photometric Methods in Computer Vision, France: IEEE Computer Society, 2003 : 1-8.

共引文献3

同被引文献32

引证文献9

二级引证文献47

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部