A Novel Design Method of Gray-levels Transformation Function for Image Contrast Improvement Based on Histogram Equalization Technique

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  • コントラスト改善のためのヒストグラム平坦化に基づく適切な階調値変換関数導出法
  • 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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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.

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