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A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light

P. Mishra1 , A. Sinhal2 , D.S. Tomar3

Section:Review Paper, Product Type: Journal Paper
Volume-2 , Issue-5 , Page no. 168-175, May-2014

Online published on May 31, 2014

Copyright © P. Mishra, A. Sinhal, D.S. Tomar . 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: P. Mishra, A. Sinhal, D.S. Tomar, “A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.168-175, 2014.

MLA Style Citation: P. Mishra, A. Sinhal, D.S. Tomar "A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light." International Journal of Computer Sciences and Engineering 2.5 (2014): 168-175.

APA Style Citation: P. Mishra, A. Sinhal, D.S. Tomar, (2014). A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light. International Journal of Computer Sciences and Engineering, 2(5), 168-175.

BibTex Style Citation:
@article{Mishra_2014,
author = {P. Mishra, A. Sinhal, D.S. Tomar},
title = {A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2014},
volume = {2},
Issue = {5},
month = {5},
year = {2014},
issn = {2347-2693},
pages = {168-175},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=181},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=181
TI - A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light
T2 - International Journal of Computer Sciences and Engineering
AU - P. Mishra, A. Sinhal, D.S. Tomar
PY - 2014
DA - 2014/05/31
PB - IJCSE, Indore, INDIA
SP - 168-175
IS - 5
VL - 2
SN - 2347-2693
ER -

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Abstract

In this paper, we are reviewing several research papers regarding study and analysis towards improvement of image contrast in case of poor light. In this paper we most focus on many algorithms that has been designed for enhancement of image, At the end, a study has been made by comparing all the proposed parameters that with certain advantages and having limitations too, that have been conducted a relevant experimental analysis to evaluate both their robustness and their performance. Our review work involves a comparative study of Improvement of Image Contrast for image enrichment with respect to the following parameter Performance, Scalability, Image enhancement, Image Acquisition, Applying Morphological operators, Detecting and extracting the background, Applying contrast enhancement operators:- block analysis and opening by reconstruction, Applying image enhancement techniques like image sharpening etc.

Key-Words / Index Term

: Digital Image Processing, Denoiser, Morphological Operators, Filters, Image contrast, Image segmentation

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