Enhancement Technique of Image Contrast using New Histogram Transformation

Wanhyun Cho, Seongchae Seo, Jinho You, Soonja Kang

Department of Mathematical Education, Chonnam National University, Gwang-ju, Korea.
Department of Statistics, Chonnam National University, Gwang-ju, Korea.
Department School of Electronics & Computer Engineering, Chonnam National University, Gwang-ju, Korea.
Doul Infotech, Gwang-ju, Korea.

DOI: 10.4236/jcc.2014.22010                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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