LIME : Low-Light Image Enhancement via Illumination Map Estimation

Authors

  • V. Supraja  Assistsnt Professor M.Tech, Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • S. Namira Tabassum  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • Shaik Afsana  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • Y. Ruchitha  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • Sai Charanya  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/IJSRSET1229266

Keywords:

Image Enhancement, Illumination Map,LIME, Digital Images

Abstract

Digital images play an important role both in daily life applications such as satellite television, magnetic resonance imaging, as well as in areas of research and technology such as geographical information systems and astronomy. Whenever an image is converted from one form to other such as digitizing the image some form of degradation occurs at output. Improvement in quality of these degraded images can be achieved by using application of enhancement techniques. The main purpose of image enhancement is to bring out details that are hidden in an image, or to increase the contrast in a low contrast image, by changing the pixel intensity of the input image. Enhancing the quality of low light Images is a critical problem. To overcome this problem efficient method introduced that is Low Light Image Enhancement Previously different algorithms used to enhance the quality of low light Images Among that one algorithm is multimedia algorithm .Through this algorithm we can process on only gray scale Images and the quality of Image is not properly enhance to that extent .The main drawback is that the quality of the image gets reduced because the processing can be done by considering the single pixel.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Supraja, S. Namira Tabassum, Shaik Afsana, Y. Ruchitha, Sai Charanya, " LIME : Low-Light Image Enhancement via Illumination Map Estimation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.376-382, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET1229266