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Locally Adaptive Contrast Enhancement Using Convolutional Neural Network

Title
Locally Adaptive Contrast Enhancement Using Convolutional Neural Network
Author
문영식
Issue Date
2018-01
Publisher
IEEE
Citation
2018 IEEE International Conference on Consumer Electronics (ICCE), Page. 501-502
Abstract
Low contrast images obtained from smart phones or any imaging devices are difficult to process by image processing systems and general users. Therefore, an enhancement of low contrast image is an important task in image processing and for device users. In this paper, we propose a method to detect low contrast regions using CNN(Convolutional Neural Network) and to improve the image quality by using chromatic contrast weight. Experiments show that the proposed method reduces over enhancement, while recovering details of low contrast regions.
URI
https://ieeexplore.ieee.org/document/8326096http://repository.hanyang.ac.kr/handle/20.500.11754/105322
ISSN
2158-4001
DOI
10.1109/ICCE.2018.8326096
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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