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V. Struc, J. Zibert and N. Pavesic, “Histogram Remapping as a Preprocessing Step for Robust Face Recognition,” WSEAS Transactions on Information Science and Applications, Vol. 6, No. 3, 2009, pp. 520-529.

has been cited by the following article:

• TITLE: Enhancement Technique of Image Contrast using New Histogram Transformation

  AUTHORS: Wanhyun Cho, Seongchae Seo, Jinho You, Soonja Kang

  KEYWORDS: Image Preprocessing Technique; Contrast Enhancement; Histogram Equalization and Specification; Target Distribution Function

  JOURNAL NAME: Journal of Computer and Communications, Vol.2 No.2, January 10, 2014

  ABSTRACT: This paper presents a preprocessing technique that can provide the improved quality of image robust to illumination changes. First, in order to enhance the image contrast, we proposed new adaptive histogram transformation combining histogram equalization and histogram specification. Here, by examining the characteristic of histogram distribution shape, we determine the appropriate target distribution. Next, applying the histogram equalization with an image histogram, we have obtained the uniform distribution of pixel values, and then we have again carried out the histogram transformation using an inverse of target distribution function. Finally we have conducted various experiments that can enhance the quality of image by applying our method with various standard images. The experimental results show that the proposed method can achieve moderately good image enhancement results.