ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method
Authors
Yashaswini N.G , Ujwala B.S , Dr. Manjunatha P , Chethan L.S
Keywords
Illumination estimation, Illumination Transmission, Low light image enhancement.
Abstract
Nowadays digital images are used in several applications. It is used in almost every area in our life and technology. To improve the quality of an image, image enhancement plays an important role. Enhancing the low light image is a critical process. In this project, we propose a simple method called Low light image enhancement(LIME). In this, first we find the maximum value of each pixel by separating the R, G and B channels as a initial illumination map. Further, we refine the illumination map by imposing a structure prior as the final illumination map. Depending upon the gamma values, we tune the final illumination map for good quality of an image. The noise can be removed by using BM3D method. For a low light image enhancement, the objective assessment is Lightness order error(LOE), which represents the light directions and lightness variations. However, for the good quality of an image in the image enhancement, naturalness is essential. Comparing with the other methods, LIME is superior in terms of image enhancement quality and efficiency.
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IJRTI — journal style
"Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.2, Issue 8, page no.131 - 135, August-2017, Available :https://ijrti.org/papers/IJRTI1708023.pdf
APA — 7th edition
N.G, Y., B.S, U., P, M., & L.S, C. (2017). Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method. International Journal for Research Trends and Innovation, 2(8), 131 - 135. https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023
MLA — 9th edition
N.G, Yashaswini, et al. "Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method." International Journal for Research Trends and Innovation, vol. 2, no. 8, 2017, pp. 131 - 135, https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023.
Chicago — 17th, bibliography
N.G, Yashaswini, et al. "Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method." International Journal for Research Trends and Innovation 2, no. 8 (2017): 131 - 135. https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023.
Harvard — author–date
N.G, Y. et al. (2017) 'Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method', International Journal for Research Trends and Innovation, 2(8), pp. 131 - 135. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023
IEEE — numbered reference
Y. N.G, U. B.S, M. P and C. L.S, "Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method," IJRTI, vol. 2, no. 8, pp. 131 - 135, Aug. 2017.
Vancouver — biomedical
N.G Y, B.S U, P M, L.S C. Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method. IJRTI. 2017 Aug;2(8):131 - 135.
AMA — 11th edition
N.G Y, B.S U, P M, L.S C. Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method. IJRTI. 2017;2(8):131 - 135. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1708023,
author = {Yashaswini N.G and Ujwala B.S and Manjunatha P and Chethan L.S},
title = {Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method},
journal = {International Journal for Research Trends and Innovation},
volume = {2},
number = {8},
pages = {131 - 135},
year = {2017},
month = {August},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - N.G, Yashaswini
AU - B.S, Ujwala
AU - P, Manjunatha
AU - L.S, Chethan
TI - Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 2
IS - 8
PY - 2017
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023
SP - 131
EP - 135
ER -
Issue
Volume 2 Issue 8,
August-2017
Pages : 131 - 135
Other Publication Details
Paper Reg. ID
IJRTI_170507
Published Paper ID
IJRTI1708023
Downloads
205,611
Research Area
Engineering
Country
SHIMOGGA, KARNATAKA, India
Published
August 2017
Published Paper PDF
https://ijrti.org/papers/IJRTI1708023.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1708023
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
