Dark image enhancement based onpairwise target contrast and multi-scale detail boosting

Youngbae Kim; Yeong Jun Koh; Chulwoo Lee; Sehoon Kim; Chang-Su Kim

doi:10.1109/ICIP.2015.7351031

Dark image enhancement based onpairwise target contrast and multi-scale detail boosting

Youngbae Kim, Yeong Jun Koh, Chulwoo Lee, Sehoon Kim, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

47 Citations (Scopus)

Abstract

A dark image enhancement algorithm based on the pairwise target contrast and the multi-scale detail boosting is proposed in this work. We first compute the pairwise target contrast between a pair of pixels, which represents the desired gray level difference of the two pixels in the output image. By aggregating the pairwise target contrasts for all pairs of pixels in an image, we formulate a cost function for the enhancement. By minimizing the cost function, we obtain the optimal transformation function and enhance the image. In addition, we propose a multi-scale approach to boost details in the globally enhanced image. Experimental results show that the proposed algorithm enhances the contrast and visibility of dark images more effectively than conventional algorithms.

Original language	English
Title of host publication	Proceedings - International Conference on Image Processing, ICIP
Publisher	IEEE Computer Society
Pages	1404-1408
Number of pages	5
Volume	2015-December
ISBN (Print)	9781479983391
DOIs	https://doi.org/10.1109/ICIP.2015.7351031
Publication status	Published - 2015 Dec 9
Event	IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: 2015 Sept 27 → 2015 Sept 30

Other

Other	IEEE International Conference on Image Processing, ICIP 2015
Country/Territory	Canada
City	Quebec City
Period	15/9/27 → 15/9/30

Keywords

backlit image enhancement
contrast enhancement
Dark image enhancement
multi-scale detail boosting
pairwise target contrast

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2015.7351031

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Kim, Y, Koh, YJ, Lee, C, Kim, S & Kim, C-S 2015, Dark image enhancement based onpairwise target contrast and multi-scale detail boosting. in Proceedings - International Conference on Image Processing, ICIP. vol. 2015-December, 7351031, IEEE Computer Society, pp. 1404-1408, IEEE International Conference on Image Processing, ICIP 2015, Quebec City, Canada, 15/9/27. https://doi.org/10.1109/ICIP.2015.7351031

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keywords = "backlit image enhancement, contrast enhancement, Dark image enhancement, multi-scale detail boosting, pairwise target contrast",

author = "Youngbae Kim and Koh, {Yeong Jun} and Chulwoo Lee and Sehoon Kim and Chang-Su Kim",

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PY - 2015/12/9

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N2 - A dark image enhancement algorithm based on the pairwise target contrast and the multi-scale detail boosting is proposed in this work. We first compute the pairwise target contrast between a pair of pixels, which represents the desired gray level difference of the two pixels in the output image. By aggregating the pairwise target contrasts for all pairs of pixels in an image, we formulate a cost function for the enhancement. By minimizing the cost function, we obtain the optimal transformation function and enhance the image. In addition, we propose a multi-scale approach to boost details in the globally enhanced image. Experimental results show that the proposed algorithm enhances the contrast and visibility of dark images more effectively than conventional algorithms.

AB - A dark image enhancement algorithm based on the pairwise target contrast and the multi-scale detail boosting is proposed in this work. We first compute the pairwise target contrast between a pair of pixels, which represents the desired gray level difference of the two pixels in the output image. By aggregating the pairwise target contrasts for all pairs of pixels in an image, we formulate a cost function for the enhancement. By minimizing the cost function, we obtain the optimal transformation function and enhance the image. In addition, we propose a multi-scale approach to boost details in the globally enhanced image. Experimental results show that the proposed algorithm enhances the contrast and visibility of dark images more effectively than conventional algorithms.

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KW - contrast enhancement

KW - Dark image enhancement

KW - multi-scale detail boosting

KW - pairwise target contrast

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Dark image enhancement based onpairwise target contrast and multi-scale detail boosting

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Keywords

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