High Dynamic Range Image Tone Mapping with Edge Preserved Dithering
Authors: 
Tao Huang, Yan Liu, Tongwei Ren, Lei Huang, Jia Bei, Qin LiuAuthors Info & Claims
Tao Huang, Yan Liu, Tongwei Ren, Lei Huang, Jia Bei, Qin LiuAuthors Info & ClaimsPages 271 - 274
Abstract
Current tone mapping technique for high dynamic range (HDR) image is limited by the gray scale of display screen. In this paper, we propose a novel tone mapping approach based on edge preserved dithering, which makes use of high resolution of display screen to breakthrough the gray scale limitation. To each HDR image, we first decompose its L* component to the ditherable patches and the unditherable patches. Then, we utilize linear programming to tone map the mean gray levels of the ditherable patches and the gray level of each pixel in the unditherable patches to an extended dynamic range. Finally, the gray levels of the tone mapped image are further narrowed to the required gray scale of display screen in which dithering is applied on ditherable patches. Experimental results show that edge preserved dithering can improve the distribution of the limited gray levels in the generated images and effectively reduce contouring and detail loss.
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Index Terms
- High Dynamic Range Image Tone Mapping with Edge Preserved Dithering
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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