Tone reproduction in color imaging systems by histogram equalization of macro edges

Abstract

Tone reproduction attempts to scale or map dynamic range image data such that the resulting image has preserved the visual brightness and better contrast impression of the original scenes. In this paper, we propose a systematic approach to tone reproduction by histogram equalization of macro edges. The proposed approach has been integrated with a robust image processing pipeline, and the experimental results show that the proposed algorithm is very stable for accommodating diverse illuminants and scenes.

Original language	English
Pages (from-to)	682-688
Number of pages	7
Journal	IEEE Transactions on Consumer Electronics
Volume	52
Issue number	2
DOIs	https://doi.org/10.1109/TCE.2006.1649697
Publication status	Published - 2006 May

Keywords

Digital camera
Dymanic range reduction
Histogram equalization
Tone reproduction

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TCE.2006.1649697

Cite this

@article{b45521b993cd4e7980942c099d967376,

title = "Tone reproduction in color imaging systems by histogram equalization of macro edges",

abstract = "Tone reproduction attempts to scale or map dynamic range image data such that the resulting image has preserved the visual brightness and better contrast impression of the original scenes. In this paper, we propose a systematic approach to tone reproduction by histogram equalization of macro edges. The proposed approach has been integrated with a robust image processing pipeline, and the experimental results show that the proposed algorithm is very stable for accommodating diverse illuminants and scenes.",

keywords = "Digital camera, Dymanic range reduction, Histogram equalization, Tone reproduction",

author = "Kao, {Wen Chung} and Chen, {Lien Yang} and Wang, {Sheng Hong}",

note = "Funding Information: 1 This work was supported in part by the National Science Council, R.O.C., under Grants NSC94-2218-E-003-002. Wen-Chung Kao and Lien-Yang Chen are with Institute of Applied Electronic Technology and Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan, R.O.C (e-mail: [email protected]). Sheng-Hong Wang is with the Department of Mechatronic Technology, National Taiwan Normal University, Taipei, Taiwan, R.O.C.. Contributed Paper Manuscript received April 12, 2006 0098 3063/06/$20.00 {\textcopyright} 2006 IEEE",

year = "2006",

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language = "English",

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AU - Kao, Wen Chung

AU - Chen, Lien Yang

AU - Wang, Sheng Hong

N1 - Funding Information: 1 This work was supported in part by the National Science Council, R.O.C., under Grants NSC94-2218-E-003-002. Wen-Chung Kao and Lien-Yang Chen are with Institute of Applied Electronic Technology and Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan, R.O.C (e-mail: [email protected]). Sheng-Hong Wang is with the Department of Mechatronic Technology, National Taiwan Normal University, Taipei, Taiwan, R.O.C.. Contributed Paper Manuscript received April 12, 2006 0098 3063/06/$20.00 © 2006 IEEE

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N2 - Tone reproduction attempts to scale or map dynamic range image data such that the resulting image has preserved the visual brightness and better contrast impression of the original scenes. In this paper, we propose a systematic approach to tone reproduction by histogram equalization of macro edges. The proposed approach has been integrated with a robust image processing pipeline, and the experimental results show that the proposed algorithm is very stable for accommodating diverse illuminants and scenes.

AB - Tone reproduction attempts to scale or map dynamic range image data such that the resulting image has preserved the visual brightness and better contrast impression of the original scenes. In this paper, we propose a systematic approach to tone reproduction by histogram equalization of macro edges. The proposed approach has been integrated with a robust image processing pipeline, and the experimental results show that the proposed algorithm is very stable for accommodating diverse illuminants and scenes.

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KW - Dymanic range reduction

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