一种亮度可控与细节保持的高动态范围图像色调映射方法

陆许明; 朱雄泳; 李智文; 麦建业; 谭洪舟

doi:10.16383/j.aas.2015.c130202

一种亮度可控与细节保持的高动态范围图像色调映射方法

doi: 10.16383/j.aas.2015.c130202

1.
中山大学信息科学与技术学院广州 510006;
2.
广东第二师范学院计算机科学系广州 510303

基金项目:

国家自然科学基金-广东联合基金重点项目 (U0935002)资助

详细信息

作者简介:
朱雄泳博士, 广东第二师范学院计算机科学系教师. 主要研究方向为数字图像处理, 视频信号处理, 计算机视觉, 系统分析, 移动互联.E-mail: zhuxiongyong@163.com

通讯作者:
谭洪舟中山大学信息科学与技术学院教授. 主要研究方向为宽带通信, 信号处理, 复杂系统辨识及建模, 半导体集成电路设计. E-mail: issthz@mail.sysu.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2013-03-18
- 修回日期: 2015-01-13
- 刊出日期: 2015-06-20

A Brightness-scaling and Detail-preserving Tone Mapping Method for High Dynamic Range Images

1.
School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510006;
2.
Department of Computer Science, Guangdong University of Education, Guangzhou 510303

Funds:

Supported by Key Project of Joint Fund of National Natural Science Foundation of China and Guangdong Province (U0935002)

摘要

摘要: 高动态范围(High dynamic range, HDR)图像通常需压缩其动态范围,以便于进行存储、传输、重现. 本文提出一种具有亮度可控与细节保持特性的HDR图像的全局色调映射方法.该方法对HDR图像照度直方图进行裁剪与补偿,令色调映射后的低动态范围(Low dynamic range, LDR)图像仍能够保持原有的细节特性, 同时利用概率模型估算出输出LDR图像的亮度与标准差,进而调整直方图亮度区域的分配, 使得输出LDR图像的亮度接近用户设置的亮度,最后以分段直方图均衡的方法进行HDR色调映射处理. 仿真结果表明,该方法能对HDR图像动态范围进行合理的压缩映射,输出的LDR图像的亮度可由用户控制或自适应选择, 同时能保持图像的细节信息,令图像的主观视觉感受对比和谐.
- 高动态范围图像 /
- 色调映射 /
- 细节保持 /
- 亮度可控
Abstract: For conventional storage, transfer, and display, high dynamic range (HDR) images always need to compress their dynamic ranges. This paper introduces a brightness-scaling and detail-preserving tone mapping method for HDR images. By clipping and compensating the luminance histogram of an HDR image, the method preserves the details after tone mapping. A probability model is also introduced to estimate the output brightness and its standard deviation. Then the histogram of the original image is divided into several regions to reduce the error between the expected brightness and the output brightness. Finally, the segmented histogram equalization is applied to each region for reproducing the low dynamic range image. Experiment results show that the new algorithm can successfully perform tone mapping for high dynamic range images. It can compress images according to a brightness given or set adaptively and preserve the details in images.
- High dynamic range (HDR) image /
- tone mapping /
- detail preserving /
- brightness scaling

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参考文献(21)

[1]	Debevec P E, Malik J. Recovering high dynamic range radiance maps from photographs. In: Proceedings of the ACM SIGGRAPH 2008 Classes. New York, USA: ACM, 2008. 1-10
[2]	[2] Li Z G, Zheng J H. Visual-salience-based tone mapping for high dynamic range images. IEEE Transactions on Industrial Electronics, 2014, 61(12): 7076-7082
[3]	[3] Shen J B, Fang S F, Zhao H L, Jin X G, Sun H Q. Fast approximation of trilateral filter for tone mapping using a signal processing approach. Signal Processing, 2009, 89(5): 901-907
[4]	[4] Durand F, Dorsey J. Fast bilateral filtering for the display of high dynamic range images. ACM Transactions on Graphics, 2002, 21(3): 257-266
[5]	[5] Kuang J T, Johnson G M, Fairchild M D. iCAM06: a refined image appearance model for HDR image rendering. Journal of Visual Communication and Image Representation, 2007, 18(5): 406-414
[6]	[6] Mantiuk R, Myszkowski K, Seidel H P. A perceptual framework for contrast processing of high dynamic range images. ACM Transactions on Applied Perception, 2006, 3(3): 286-308
[7]	[7] Guarnieri G, Marsi S, Ramponi G. High dynamic range image display with halo and clipping prevention. IEEE Transactions on Image Processing, 2011, 20(5): 1351-1362
[8]	[8] Gu B, Li W J, Zhu M Y, Wang M H. Local edge-preserving multiscale decomposition for high dynamic range image tone mapping. IEEE Transactions on Image Processing, 2013, 22(1): 70-79
[9]	[9] Byung J L, Byung C S. Local tone mapping using sub-band decomposed multi-scale retinex for high dynamic range images. In: Proceedings of the 2014 IEEE International Conference on Consumer Electronics. Las Vegas, NV: IEEE, 2014. 125-128
[10]	Artusi A, Akyuz A O, Roch B, Michael D, Chrysanthou Y, Chalmers A. Selective local tone mapping. In: Proceedings of the 2013 IEEE International Conference on Image Processing. Melbourne, VIC: IEEE, 2013. 2309-2313
[11]	Ramsey S D, Johnson J T, Hansen C. Adaptive temporal tone mapping. In: Proceedings of the 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, USA: ACTA, 2004. 124-128
[12]	Drago F, Myszkowski K, Annen T, Chiba N. Adaptive logarithmic mapping for displaying high contrast scenes. Computer Graphics Forum, 2003, 22(3): 419-426
[13]	Duan J, Qiu G P. Fast tone mapping for high dynamic range images. In: Proceedings of the 17th International Conference on Pattern Recognition. Cambridge, UK: IEEE, 2004. 847-850
[14]	Kao W C, Wang H C. Tone mapping operator for high dynamic range imaging. In: Proceedings of the 17th IEEE International Symposium on Consumer Electronics. Hsinchu, China: IEEE, 2013. 267-268
[15]	Murofushi T, Iwahashi M, Kiya H. An integer tone mapping operation for hdr images expressed in floating point data. In: Proceedings of the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC: IEEE, 2013. 2479-2483
[16]	Dobashi T, Murofushi T, Iwahashi M, Kiya H. A fixed-point tone mapping operation for HDR images in the RGBE format. In: Proceedings of the 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. Kaohsiung, China: IEEE, 2013. 1-4
[17]	Yang Ke-Hu, Ji Jing, Guo Jian-Jun, Yu Wen-Sheng. High dynamic range images and tone mapping operator. Acta Automatica Sinica, 2009, 35(2): 113-122(杨克虎, 姬靖, 郭建军, 郁文生. 高动态范围图像和色阶映射算子. 自动化学报, 2009, 35(2): 113-122)
[18]	Arici T, Dikbas S, Altunbasak Y. A histogram modification framework and its application for image contrast enhancement. IEEE Transactions on Image Processing, 2009, 18(9): 1921-1935
[19]	Sen D, Pal S K. Novel automatic exact histogram specification for contrast enhancement in images. In: Proceedings of the 2011 International Conference on Communications and Signal Processing. Calicut, India: IEEE, 2011. 56-60
[20]	Yun S H, Kim J H, Kim S. Image enhancement using a fusion framework of histogram equalization and Laplacian pyramid. IEEE Transactions on Consumer Electronics, 2010, 56(4): 2763-2771
[21]	Kim Y T. Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Transactions on Consumer Electronics, 1997, 43(1): 1-8

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文章访问数: 2340
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PDF下载量: 2083
被引次数: 0

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一种亮度可控与细节保持的高动态范围图像色调映射方法

doi: 10.16383/j.aas.2015.c130202

作者简介:
朱雄泳博士, 广东第二师范学院计算机科学系教师. 主要研究方向为数字图像处理, 视频信号处理, 计算机视觉, 系统分析, 移动互联.E-mail: zhuxiongyong@163.com

通讯作者:
谭洪舟中山大学信息科学与技术学院教授. 主要研究方向为宽带通信, 信号处理, 复杂系统辨识及建模, 半导体集成电路设计. E-mail: issthz@mail.sysu.edu.cn

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A Brightness-scaling and Detail-preserving Tone Mapping Method for High Dynamic Range Images

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留言板

一种亮度可控与细节保持的高动态范围图像色调映射方法

doi: 10.16383/j.aas.2015.c130202

作者简介: 朱雄泳 博士, 广东第二师范学院计算机科学系教师. 主要研究方向为数字图像处理, 视频信号处理, 计算机视觉, 系统分析, 移动互联.E-mail: zhuxiongyong@163.com

通讯作者: 谭洪舟 中山大学信息科学与技术学院教授. 主要研究方向为宽带通信, 信号处理, 复杂系统辨识及建模, 半导体集成电路设计. E-mail: issthz@mail.sysu.edu.cn

计量

出版历程

A Brightness-scaling and Detail-preserving Tone Mapping Method for High Dynamic Range Images

计量

出版历程

目录

作者简介:
朱雄泳博士, 广东第二师范学院计算机科学系教师. 主要研究方向为数字图像处理, 视频信号处理, 计算机视觉, 系统分析, 移动互联.E-mail: zhuxiongyong@163.com

通讯作者:
谭洪舟中山大学信息科学与技术学院教授. 主要研究方向为宽带通信, 信号处理, 复杂系统辨识及建模, 半导体集成电路设计. E-mail: issthz@mail.sysu.edu.cn