Low-light image enhancement method based on Non-Local means using illumination map estimation

Authors

  • K. Amaranath M.Tech Student, Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula
  • Sk.Taj Mahaboob Assistant Professor, Department of Electronics and Communication Engineering, JNTUA College of engineering Pulivendula
  • K..Ravendra Reddy Adhoc lecturer, Department of Electronics and Communication Engineering, JNTUA College of engineering Pulivendula,

Keywords:

Illumination Estimation, Non local means, BM3D filter

Abstract

When an image was taken from low light withnoisy condition, this image suffers from low visibility and information loss due to noisy condition. To recover the poor quality of the image, we recommend a new method such as Low-Light image enhancement based on Non local means using illumination map method. In this method is used to overcome low light condition of the image and recover information from low light noisy image.In an image information was recovered by using Non local means (NLM)filter insteadof Block matching and three dimensional (BM3D)filter in the projected method. The NLM filter is efficient for the removal of noise from an image, So the NLM is shows better performance than other enhancement filters.

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Published

2018-09-12

How to Cite

Amaranath, K., Mahaboob, S., & Reddy, K. . (2018). Low-light image enhancement method based on Non-Local means using illumination map estimation. International Journal of Technical Innovation in Modern Engineering & Science, 4(9), 241–247. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/563

Issue

Vol. 4 No. 9 (2018): Vol. 4 No. 9: Volume 4 Issue 9 (September-2018)

Section

Articles