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A New Approach to Image Intensity Transformation Based on Equalizing the Distribution Density of Contrast

  • Sergei YelmanovEmail author
  • Yuriy Romanyshyn
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1080)

Abstract

Intensity transformation is one of the basic approaches to enhance the image. However, known methods of intensity transformation have several disadvantages which significantly limit their use for image processing in automatic mode. In this paper, the problem of improving the efficiency of the intensity transformation of complex images in the automatic mode was considered. A new approach to the intensity transformation was proposed based on equalizing the distribution density of contrast in an image. The distribution of contrast is estimated based on bivariate distribution and brightness increments for pairs of pixels in the image. A new generalized description of the intensity transformation based on the joint distribution of brightness was proposed. It was shown that the traditional definition of histogram equalization is a particular case of the proposed generalized description. A new technique of parameter-free intensity transformation was proposed based on equalizing the distribution density of contrast in an image. The proposed technique provides an effective enhance the contrast of complex images without the appearance of unwanted artifacts has several advantages to the well-known histogram equalization technique. The results of experimental research confirm the effectiveness of the proposed approach to enhance images in automatic mode.

Keywords

Image enhancement Intensity transformation Brightness increment Bivariate Distribution density Histogram equalization Contrast 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Special Design Office of Television SystemsLvivUkraine
  2. 2.Lviv Polytechnic National UniversityLvivUkraine
  3. 3.University of Warmia and MazuryOlsztynPoland

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