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Vol. 4  No. 9 (2018) · Articles

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

K. Amaranath
M.Tech Student, Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula , IN

Sk.Taj Mahaboob
M.Tech Student, Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula , IN

K..Ravendra Reddy
M.Tech Student, Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula , IN

📅 Published: September 2018

Keywords: Illumination Estimation, Non local means, BM3D filter

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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.

How to Cite

K. Amaranath, Sk.Taj Mahaboob, K..Ravendra Reddy, “Low-light image enhancement method based on Non-Local means using illumination map estimation,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 4, no. 9, pp. 241-247, September 2018.

References

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