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Journal Article Automatic Contrast Enhancement by Transfer Function Modification
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Authors
Tae Wuk Bae, Sang Ho Ahn, Yucel Altunbasak
Issue Date
2017-02
Citation
ETRI Journal, v.39, no.1, pp.76-76
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.17.0115.0880
Abstract
In this study, we propose an automatic contrast enhancement method based on transfer function modification (TFM) by histogram equalization. Previous histogram-based global contrast enhancement techniques employ histogram modification, whereas we propose a direct TFM technique that considers the mean brightness of an image during contrast enhancement. The mean point shifting method using a transfer function is proposed to preserve the mean brightness of an image. In addition, the linearization of transfer function technique, which has a histogram flattening effect, is designed to reduce visual artifacts. An attenuation factor is automatically determined using the maximum value of the probability density function in an image to control its rate of contrast. A new quantitative measurement method called sparsity of a histogram is proposed to obtain a better objective comparison relative to previous global contrast enhancement methods. According to our experimental results, we demonstrated the performance of our proposed method based on generalized measures and the newly proposed measurement.
KSP Keywords
Contrast Enhancement(CE), Enhancement method, Flattening effect, Global contrast, Histogram-based, Probability Density Function, Shifting method, attenuation factor, contrast enhancement techniques, histogram equalization, histogram modification(HM)
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: