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 |
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Title of host publication | 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings |
Publisher | IEEE Computer Society |
Pages | 1404-1408 |
Number of pages | 5 |
ISBN (Electronic) | 9781479983391 |
DOIs | |
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 |
Publication series
Name | Proceedings - International Conference on Image Processing, ICIP |
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Volume | 2015-December |
ISSN (Print) | 1522-4880 |
Other
Other | IEEE International Conference on Image Processing, ICIP 2015 |
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Country/Territory | Canada |
City | Quebec City |
Period | 15/9/27 → 15/9/30 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Dark image enhancement
- backlit image enhancement
- contrast enhancement
- multi-scale detail boosting
- pairwise target contrast
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing