Image contrast enhancement using weighted uniform histogram for maximum information

Ngaiming Kwok; Haiyan Shi; Ying-Hao Yu; Yeping Peng; Shilong Liu; Ruowei Li; Hongkun Wu

doi:10.1109/CISP-BMEI.2018.8633178

Image contrast enhancement using weighted uniform histogram for maximum information

Ngaiming Kwok, Haiyan Shi, Ying-Hao Yu, Yeping Peng, Shilong Liu, Ruowei Li, Hongkun Wu

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Contrast enhancement is a fundamental and important process in image based applications, which often require the image to provide the viewer with the maximum amount of details from the captured scene. This objective can be accomplished by maximizing the information content of the image. Instead of modifying the image histogram as in most equalization methods, we propose to firstly process the image intensity to follow an exact uniform distribution for information maximization. Then this intermediate image is combined with the original input in a weighted sum to preserve the features. A resultant image of high information content, while maintaining the original features, can then be produced. Experimental results had shown the effectiveness of our developed method with regard to maximizing the information content.

Original language	English
Title of host publication	Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Beijing, China, 13 - 15 October 2018
Publisher	IEEE
Number of pages	7
ISBN (Print)	9781538676042
DOIs	https://doi.org/10.1109/CISP-BMEI.2018.8633178
Publication status	Published - 2018
Event	International Congress on Image and Signal Processing_BioMedical Engineering and Informatics - Duration: 19 Oct 2019 → …

Conference

Conference	International Congress on Image and Signal Processing_BioMedical Engineering and Informatics
Period	19/10/19 → …

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10.1109/CISP-BMEI.2018.8633178

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Kwok, N., Shi, H., Yu, Y.-H., Peng, Y., Liu, S., Li, R., & Wu, H. (2018). Image contrast enhancement using weighted uniform histogram for maximum information. In Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Beijing, China, 13 - 15 October 2018 IEEE. https://doi.org/10.1109/CISP-BMEI.2018.8633178

@inproceedings{9cbf9876f56f473685d00245ec36ca09,

title = "Image contrast enhancement using weighted uniform histogram for maximum information",

abstract = "Contrast enhancement is a fundamental and important process in image based applications, which often require the image to provide the viewer with the maximum amount of details from the captured scene. This objective can be accomplished by maximizing the information content of the image. Instead of modifying the image histogram as in most equalization methods, we propose to firstly process the image intensity to follow an exact uniform distribution for information maximization. Then this intermediate image is combined with the original input in a weighted sum to preserve the features. A resultant image of high information content, while maintaining the original features, can then be produced. Experimental results had shown the effectiveness of our developed method with regard to maximizing the information content.",

author = "Ngaiming Kwok and Haiyan Shi and Ying-Hao Yu and Yeping Peng and Shilong Liu and Ruowei Li and Hongkun Wu",

year = "2018",

doi = "10.1109/CISP-BMEI.2018.8633178",

language = "English",

isbn = "9781538676042",

booktitle = "Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Beijing, China, 13 - 15 October 2018",

publisher = "IEEE",

note = "International Congress on Image and Signal Processing_BioMedical Engineering and Informatics ; Conference date: 19-10-2019",

}

Kwok, N, Shi, H, Yu, Y-H, Peng, Y, Liu, S, Li, R & Wu, H 2018, Image contrast enhancement using weighted uniform histogram for maximum information. in Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Beijing, China, 13 - 15 October 2018. IEEE, International Congress on Image and Signal Processing_BioMedical Engineering and Informatics, 19/10/19. https://doi.org/10.1109/CISP-BMEI.2018.8633178

Image contrast enhancement using weighted uniform histogram for maximum information. / Kwok, Ngaiming; Shi, Haiyan; Yu, Ying-Hao et al.
Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Beijing, China, 13 - 15 October 2018. IEEE, 2018.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Image contrast enhancement using weighted uniform histogram for maximum information

AU - Kwok, Ngaiming

AU - Shi, Haiyan

AU - Yu, Ying-Hao

AU - Peng, Yeping

AU - Liu, Shilong

AU - Li, Ruowei

AU - Wu, Hongkun

PY - 2018

Y1 - 2018

N2 - Contrast enhancement is a fundamental and important process in image based applications, which often require the image to provide the viewer with the maximum amount of details from the captured scene. This objective can be accomplished by maximizing the information content of the image. Instead of modifying the image histogram as in most equalization methods, we propose to firstly process the image intensity to follow an exact uniform distribution for information maximization. Then this intermediate image is combined with the original input in a weighted sum to preserve the features. A resultant image of high information content, while maintaining the original features, can then be produced. Experimental results had shown the effectiveness of our developed method with regard to maximizing the information content.

AB - Contrast enhancement is a fundamental and important process in image based applications, which often require the image to provide the viewer with the maximum amount of details from the captured scene. This objective can be accomplished by maximizing the information content of the image. Instead of modifying the image histogram as in most equalization methods, we propose to firstly process the image intensity to follow an exact uniform distribution for information maximization. Then this intermediate image is combined with the original input in a weighted sum to preserve the features. A resultant image of high information content, while maintaining the original features, can then be produced. Experimental results had shown the effectiveness of our developed method with regard to maximizing the information content.

UR - https://hdl.handle.net/1959.7/uws:67482

U2 - 10.1109/CISP-BMEI.2018.8633178

DO - 10.1109/CISP-BMEI.2018.8633178

M3 - Conference Paper

SN - 9781538676042

BT - Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Beijing, China, 13 - 15 October 2018

PB - IEEE

T2 - International Congress on Image and Signal Processing_BioMedical Engineering and Informatics

Y2 - 19 October 2019

ER -

Image contrast enhancement using weighted uniform histogram for maximum information

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