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An Efficient Image Enhancement Method for Dark Images

  • P. V. V. S. Srinivas
  • Lakshmana Phaneendra MaguluriEmail author
  • Maganti Syamala
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 34)

Abstract

Image enhancement is a technique to give a better quality of an image in terms of its clarity, brightness, and to give the human eye comfortable to look at. There are different types of techniques to give good quality to an image. Global image contrast enhancement is one of the most commonly used techniques to enhance the quality of an image, but it has some disadvantages with the fact that it does not consider the local details of an image, that is the detailed texture of an image. In local contrast enhancement, it addresses the local details of an image and preserves the local details of the image. Local details of an image are very important while analyzing an image, which is that of the scientific study of an image like the image taken from planetary bodies, satellite image, and also in medical images. Local details of an image are very important for diagnosing a particular ailment. When we used either local contrast enhancement or global contrast enhancement alone, we faced the loss of brightness of the image. In order to address and reduce this discrepancy of individual enhancement methods, a new proposal that uses both these methods on the same image. First, the image is locally enhanced and the output is again processed by the global enhancement method, thereby giving a properly enhanced image without losing the brightness of the image. This enhancement method is simulated in MATLAB, and results are verified on the parameters of image.

Keywords

Image enhancement Image sharpening Unsharp masking Global contrast stretching Local contrast stretching 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • P. V. V. S. Srinivas
    • 1
    • 2
  • Lakshmana Phaneendra Maguluri
    • 1
    • 2
    Email author
  • Maganti Syamala
    • 1
    • 2
  1. 1.Department of Computer Science and EngineeringK L UniversityGunturIndia
  2. 2.Dhanekula Institute of Engineering and TechnologyGanguru, VijayawadaIndia

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