全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

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, PP. 1080-1092

Keywords: 高动态范围图像,色调映射,细节保持,亮度可控

Full-Text   Cite this paper   Add to My Lib

Abstract:

?高动态范围(Highdynamicrange,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(Lowdynamicrange,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.

References

[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]  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]  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]  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]  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]  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]  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]  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]  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

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133