Jul. 2017

Article Contents

Chinese Optics> 2017> 10(4): 438-448.

WANG Hao, ZHANG Ye, SHEN Hong-hai, ZHANG Jing-zhong. Review of image enhancement algorithms[J]. Chinese Optics, 2017, 10(4): 438-448. doi: 10.3788/CO.20171004.0438

Citation:

WANG Hao, ZHANG Ye, SHEN Hong-hai, ZHANG Jing-zhong. Review of image enhancement algorithms[J].Chinese Optics, 2017, 10(4): 438-448.doi:10.3788/CO.20171004.0438

WANG Hao, ZHANG Ye, SHEN Hong-hai, ZHANG Jing-zhong. Review of image enhancement algorithms[J]. Chinese Optics, 2017, 10(4): 438-448. doi: 10.3788/CO.20171004.0438

Citation:

WANG Hao, ZHANG Ye, SHEN Hong-hai, ZHANG Jing-zhong. Review of image enhancement algorithms[J].Chinese Optics, 2017, 10(4): 438-448.doi:10.3788/CO.20171004.0438

PDF( 17068 KB)

Review of image enhancement algorithms

doi:10.3788/CO.20171004.0438

WANG Hao^{1, 2,,},
ZHANG Ye^{1, 2},
SHEN Hong-hai^{1, 2},
ZHANG Jing-zhong³

1.
Key Laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun 130033, China
2.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
3.
Heilongjiang Forest Protection Institute, Harbin 150040, China

Funds:

National Forestry Public Welfare Foundation of China201204515

Natural Science Foundation of Jinlin Province of China20150101017JC

Youth Innovation Promotion Association, CAS2016201

More Information

Corresponding author:WANG Hao, E-mail:wanghao7600@163.com
Received Date:07 Mar 2017
Rev Recd Date:14 Apr 2017
Publish Date:01 Aug 2017

Abstract

Abstract

Image enhancement algorithms can enhance contrast between the whole and partial images, and highlight the details of images. It also can make the enhanced images more in line with the visual characteristics of the human eyes and it applies to machine identification, which has a wide range of applications in military and civilian fields. Based on the principle of image enhancement algorithm, four types of image enhancement algorithms and their improved algorithms are summarized in this paper. These algorithms include histogram equalization image enhancement algorithm, wavelet transform image enhancement algorithm, partial differential equation image enhancement algorithm and Retinex image enhancement algotithm. These improved algorithms, which combine the human visual characteristics, noise suppression, brightness preserving and information entropy maximization, can further improve the quality of images in addition to enhancing the contrast. In this paper, nine typical image enhancement algorithms are implemented, and their enhancement effects are compared with subjective and objective evaluation methods. The advantages and disadvantages of these enhancement algorithms are analyzed, and the calculation time of the algorithms are given. The study on these algorithms can promote the image enhancement technology to a higher level, so as to make the image enhancement technology play an important role in many fields.
- image enhancement,
- histogram equalization,
- wavelet transform,
- partial differential equation,
- Retinex theory

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References (43)

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