書誌事項
- タイトル別名
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- A Novel Design Method of Gray-levels Transformation Function for Image Contrast Improvement Based on Histogram Equalization Technique
- コントラスト カイゼン ノ タメ ノ ヒストグラム ヘイタンカ ニ モトズク テキセツ ナ カイチョウチ ヘンカン カンスウ ドウシュツホウ
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説明
Histogram equalization (HE) is a simple and effective method for contrast enhancement as it can automatically define the gray-levels transformation function based on the distribution of gray-levels included in the image. HE fails to produce satisfactory results for a broad variety of low-contrast images because the HE does not use a spatial feature included in the input image. This paper proposes a novel contrast enhancement method using not only the conventional histogram but also the differential gray-levels histogram of the input image. The differential gray-levels histogram contains edge information of the input image. Edge information is one of the important spatial features of the image. We can extract the regions where are wanted to be emphasized by using both the conventional histogram and the differential gray-levels histogram. The input histogram is modified by the histogram of the extracted regions. The gray-levels transformation function is derived by the modified histogram.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 131 (10), 1786-1793, 2011
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204609198464
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- NII論文ID
- 10030527847
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 11258092
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- NDLサーチ
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
