A review paper on LIME-Low Light Image Enhancement

A review paper on LIME-Low Light Image Enhancement

Registration ID: IJNRD_184686

Published ID: IJNRD2212115

DOI: Click Here to Get

Dinesh Tete , Chandra Sekhar Panda

Low-illumination images are usually taken in non-uniform environmental light, such as extremely dark or bright light or artificial light. The enhancement results achieved by existing techniques are prone to halo artifacts, color unnaturalness, and information loss. To address these problems, we present a physical lighting model that describes the degradation of poor illumination images, in which the environmental light is a point-wise variable and changes with the local light source. As long as the parameters in the model are properly estimated, the low-illumination images can be directly recovered by solving the model. First, the initial environmental light can be considered as the incident component according to the Retinex theory and estimated via a Gaussian surrounding function. Second, the environmental light and light-scattering attenuation rate are iteratively adjusted with the information loss constraint. Finally, to restrain the halo and block effects, the two parameters are refined by the weighted guide filter. The experimental results indicate that the proposed algorithm can improve the appearance of low-illumination images that are captured in different scenes, reveal the details in textured regions with few halo effects, increase the richness of the visible edges, retain color consistency and reproduce the color quality and naturalness.

Published Paper   E-Certificate

"A review paper on LIME-Low Light Image Enhancement", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b154-b162, December-2022, Available :https://ijnrd.org/papers/IJNRD2212115.pdf

Volume 7 Issue 12, December-2022

Pages : b154-b162

Paper Reg. ID: IJNRD_184686

Published Paper Id: IJNRD2212115

Downloads: 000121207

Research Area: Computer Science & Technology 

Country: sambalpur, odisha, india

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212115.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212115

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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