Simultaneous Mean Brightness Preservation and Contrast Improvement via Multi-Peak Histogram Equalization
Simultaneous Mean Brightness Preservation and Contrast Improvement via Multi-Peak Histogram Equalization
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2011/11/01
タイトル(英語): Simultaneous Mean Brightness Preservation and Contrast Improvement via Multi-Peak Histogram Equalization
著者名: Fusak Cheevasuvit (King Mongkut's Institute of Technology Ladkrabang, Department of Instrumentation Engineering, Faculty of Engineering, Ladkrabang), Nattapong Phanthuna (King Mongkut's Institute of Technology Ladkrabang, Department of Electrical Engineering, Faculty of Engineering, Ladkrabang), Phongchai Nilas (King Mongkut's Institute of Technology Ladkrabang, Department of Instrumentation Engineering, Faculty of Engineering, Ladkrabang)
著者名(英語): Fusak Cheevasuvit (King Mongkut's Institute of Technology Ladkrabang, Department of Instrumentation Engineering, Faculty of Engineering, Ladkrabang), Nattapong Phanthuna (King Mongkut's Institute of Technology Ladkrabang, Department of Electrical Engineering, Faculty of Engineering, Ladkrabang), Phongchai Nilas (King Mongkut's Institute of Technology Ladkrabang, Department of Instrumentation Engineering, Faculty of Engineering, Ladkrabang)
キーワード: Mean Brightness Preservation,Contrast Improvement,Multi-Peak,Histogram Equalization,Tenengrad
要約(英語): Histogram Equalization is a traditional image improvement method for enhancing image contrast. However, this image contrast improvement is unsuitable for some consumer electronic applications since mean brightness of output image is different from that of the original image. Nevertheless, when the average brightness of the output image is close to the mean brightness of the original image, its contrast is also decreased thereby reducing efficiency of contrast improvement algorithm. In this paper, we propose a method that not only preserves the mean brightness but also improves the contrast of the output image. By separating the Histogram into Sub-histograms or Multi-peak histogram based on local minima, each sub-histogram will be spread out in a maximum dynamic range based on their gray level interval proportions. Subsequently, the conventional histogram equalization is independently applied to sub-histogram of each peak. To preserve the mean brightness, positions of local minima will be finely adjusted by shifting them within a certain gray scale interval. During each adjustment, sub-histograms of the two local minima which connected to the new local minimum point are re-equalized again. Finally, standard deviation will be normalized in order to improve contrast of the output image.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.131 No.11 (2011) 特集:電気関係学会関西連合大会
本誌掲載ページ: 2009-2013 p
原稿種別: 論文/英語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/131/11/131_11_2009/_article/-char/ja/
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