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Low Contrast Image Enhancement Based On Undecimated Wavelet Transform with SSR

Namita Naik1 , Agya Mishra2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-2 , Page no. 79-84, Feb-2016

Online published on Feb 29, 2016

Copyright © Namita Naik , Agya Mishra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Namita Naik , Agya Mishra, “Low Contrast Image Enhancement Based On Undecimated Wavelet Transform with SSR,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.2, pp.79-84, 2016.

MLA Style Citation: Namita Naik , Agya Mishra "Low Contrast Image Enhancement Based On Undecimated Wavelet Transform with SSR." International Journal of Computer Sciences and Engineering 4.2 (2016): 79-84.

APA Style Citation: Namita Naik , Agya Mishra, (2016). Low Contrast Image Enhancement Based On Undecimated Wavelet Transform with SSR. International Journal of Computer Sciences and Engineering, 4(2), 79-84.

BibTex Style Citation:
@article{Naik_2016,
author = {Namita Naik , Agya Mishra},
title = {Low Contrast Image Enhancement Based On Undecimated Wavelet Transform with SSR},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {4},
Issue = {2},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {79-84},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=799},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=799
TI - Low Contrast Image Enhancement Based On Undecimated Wavelet Transform with SSR
T2 - International Journal of Computer Sciences and Engineering
AU - Namita Naik , Agya Mishra
PY - 2016
DA - 2016/02/29
PB - IJCSE, Indore, INDIA
SP - 79-84
IS - 2
VL - 4
SN - 2347-2693
ER -

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Abstract

Image Enhancement refers to accentuation or sharpening of image features such as edges, boundaries or contrast so as to get finer details of an image. In this paper a low contrast image enhancement algorithm using Single Scale Retinex (SSR) with undecimated wavelet transform (UWT) has been proposed. The performance of the proposed algorithm is evaluated using a statistical visual contrast measure (VCM). Experimental results obtained from the proposed algorithm gives improvement in terms of the VCM. Paper concludes comparison with existing algorithm and shows that the proposed method performs quite efficiently.

Key-Words / Index Term

Low Contrast image Enhancement, single scale retinex (SSR), undecimtaed wavelet transform, visual contrast measure

References

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