Manuscript Number : IJSRST184145

LIME: Low-Light Image Enhancement Via Illumination Map Estimation

Authors(2) :-K Ganga Bhavani, T. Durga Rao

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 .In our method LIME first we are calculating the illumination map next gamma correction method used for denoising of the Image .After that block matching can be done using the method BM3D .Using this method processing can be done in RGB Images and also considering the neighboring pixels so that the quality of the Image gets enhanced and also the image gets denoised using non local means method and show its superiority over several state-of-the-arts in terms of Enhancement Quality and Efficiency .

Authors and Affiliations

K Ganga Bhavani
Assistant Professor, JNTUA College of Engineering, Kalikiri, Andhra Pradesh, India
T. Durga Rao
Assistant Professor, JNTUA College of Engineering, Kalikiri, Andhra Pradesh, India

Illumination Estimation, Illumination (Light) Transmission, Low-light Image Enhancement

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Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 213-218
Manuscript Number : IJSRST184145
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

K Ganga Bhavani, T. Durga Rao, " LIME: Low-Light Image Enhancement Via Illumination Map Estimation , International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 2, pp.213-218, January-February-2018. Available at doi : 10.32628/IJSRST184145
Journal URL : http://ijsrst.com/IJSRST184145

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