NDLI: Automatic image quality enhancement based on exposure correction and dominate color detection

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2013 9th International Conference on Information, Communications & Signal Processing

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Automatic image quality enhancement based on exposure correction and dominate color detection

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Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat.

Automatic image quality enhancement based on exposure correction and dominate color detection

Content Provider	IEEE Xplore Digital Library
Author	Guo-Shiang Lin Xian-Wei Ji
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Da-Yeh Univ., Chang-Hua, Taiwan (Guo-Shiang Lin; Xian-Wei Ji)
Abstract	In this paper, we proposed a quality enhancement scheme to deal with low- and high-exposure images. The proposed scheme is composed of three parts: face detection, dominate color detection, and quality enhancement. After face detection, dominant color detection is used to compute the color information of the detected facial area. A simple rule is used to determine the exposure level of an image. According to the exposure level, different enhancement algorithms are adopted for quality enhancement. The experiment results demonstrate that the proposed scheme can deal with images with low and high exposures. The results also show that the proposed scheme outperforms existing methods in terms of visual quality.
Starting Page	1
Ending Page	4
File Size	298305
Page Count	4
File Format	PDF
e-ISBN	9781479904341
DOI	10.1109/ICICS.2013.6782857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-10
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Face detection Visualization Image quality Face Videos Image enhancement quality enhancement face detection dominate color detection
Content Type	Text
Resource Type	Article

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