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Subject

Contrast Enhancement for Low-light Image Enhancement: A Survey
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논문 기본 정보

Type
Academic journal
Author
Seonhee Park (Chung-Ang University) Kiyeon Kim (Chung-Ang University) Soohwan Yu (Chung-Ang University) Joonki Paik (Chung-Ang University)
Journal
The Institute of Electronics and Information Engineers IEIE Transactions on Smart Processing & Computing Vol.7 No.1 KCI Accredited Journals SCOPUS
Published
2018.2
Pages
36 - 48 (13page)
DOI
10.5573/IEIESPC.2018.7.1.036

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Contrast Enhancement for Low-light Image Enhancement: A Survey
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Abstract· Keywords

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In this paper, various contrast and low-light image enhancement methods are described and classified into three categories: i) histogram-based, ii) transmission map–based, and iii) retinexbased. The performance of the image enhancement algorithms is evaluated by comparing the resulting images using low-contrast and low-light images acquired under different illumination conditions. Various image enhancement algorithms are analyzed for both performance and efficiency. The described image enhancement algorithms can be applied to various visual surveillance or video analytics applications with low-light, low-contrast video input.

Contents

Abstract
1. Introduction
2. Contrast Enhancement Methods
3. Experimental Results
4. Conclusion
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UCI(KEPA) : I410-ECN-0101-2018-569-001799583