Trainable Nonlinear Reaction Diffusion (TNRD) based Low Light Image Enhancement

Authors(2) :-Marichetty Umapathy Swathi, Mr. P. Suresh Babu

In the present days, digitalised images are used in various applications. For these applications the images should have more quality. But, images captured in low light conditions are with low visibility and highly degraded. To improve the poor quality of the image, we proposed a novel technique named Low light image enhancement through Trainable Non-reactive Reaction Diffusion (TNRD). This technique is largely benefited from the training of the parameters and finally lead to the best reported performance on common test data sets for the tested applications. Our trained models preserve the structural simplicity of diffusion models and take only a small number of diffusion steps, thus they are highly efficient.

Authors and Affiliations

Marichetty Umapathy Swathi
M. Tech Student, Department of ECE, Sri Venkateswara Engineering College for Women, Tirupati, Andhra Pradesh, India
Mr. P. Suresh Babu
Associate Professor, M.Tech, (Ph.D), Department of ECE, Sri Venkateswara Engineering College for Women , Andhra Pradesh, Tirupati, India

llumination Estimation, Illumination (Light) Transmission, Low light Image Enhancement.

  1. K. Zhang, L. Zhang, and M. Yang, Real-time compressive tracking, in Proc. ECCV, 2014, pp. 866-879.
  2. Xiaojie Guo, Yu Li, Member and Haibin Ling “LIME: Low-Light Image Enhancement via Illumination Map Estimation", vol. 26, no. 2, February 2017.
  3. E Land "The retinex theory of color vision", Scientific American, vol. 237, no. 6, pp. 108-128, 1977.
  4. S Wang, J. Zheng, H. Hu, and B. Li, "Naturalness preserved enhancement algorithm for non-uniform illumination images," TIP, vol. 22, no. 9, pp. 3538-3578, 2013.
  5. Z. Farbman, R. Fattal, D. Lischinski, and R. Szeliski, "Edge preserving decomposition for multi-scale tone and detail manipulation," TOG, vol. 27, no. 3, 2008.
  6. D Krishnan R. Szeliski, "Multigrid and multilevel preconditioners for computational photography," TOG, vol. 30, no. 6, 2011
  7. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3d transform-domain collaborative filtering," TIP, vol. 16, no.8,pp. 2080-2095, 2007
  8. E. Land, “An alternative technique for the computation of the designator in the retinex theory of color vision," in Proceedings of the National Academy of Science, 83, pp. 3078-3080, 1986.
  9. D J. Jobson, Z. Rahman, and G. A. Woodell, “Properties and performance of a center/surround retinex," IEEE Trans. on Image Processing 6, pp. 451-462, March 1997.

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 469-475
Manuscript Number : IJSRSET184994
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Marichetty Umapathy Swathi, Mr. P. Suresh Babu, " Trainable Nonlinear Reaction Diffusion (TNRD) based Low Light Image Enhancement , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.469-475, July-August-2018.
Journal URL :

Article Preview

Follow Us

Contact Us