Ayushi Jaiswal1
, Jayprakash Upadhyay2
Section:Research Paper, Product Type: Journal Paper
Volume-07 ,
Issue-10 , Page no. 187-190, May-2019
CrossRef-DOI:
https://doi.org/10.26438/ijcse/v7si10.187190
Online published on May 05, 2019
Copyright © Ayushi Jaiswal, Jayprakash Upadhyay . 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: Ayushi Jaiswal, Jayprakash Upadhyay, “An Optimal Underwater Colour Image Enhancement Using CAUF-MCAHE Technique,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.10, pp.187-190, 2019.
MLA Style Citation: Ayushi Jaiswal, Jayprakash Upadhyay "An Optimal Underwater Colour Image Enhancement Using CAUF-MCAHE Technique." International Journal of Computer Sciences and Engineering 07.10 (2019): 187-190.
APA Style Citation: Ayushi Jaiswal, Jayprakash Upadhyay, (2019). An Optimal Underwater Colour Image Enhancement Using CAUF-MCAHE Technique. International Journal of Computer Sciences and Engineering, 07(10), 187-190.
BibTex Style Citation:
@article{Jaiswal_2019,
author = {Ayushi Jaiswal, Jayprakash Upadhyay},
title = {An Optimal Underwater Colour Image Enhancement Using CAUF-MCAHE Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {10},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {187-190},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1000},
doi = {https://doi.org/10.26438/ijcse/v7i10.187190}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i10.187190}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1000
TI - An Optimal Underwater Colour Image Enhancement Using CAUF-MCAHE Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Ayushi Jaiswal, Jayprakash Upadhyay
PY - 2019
DA - 2019/05/05
PB - IJCSE, Indore, INDIA
SP - 187-190
IS - 10
VL - 07
SN - 2347-2693
ER -
Underwater imaging posts a challenge due to the degradation by the absorption, scattering and color distortion occurred during light propagation & in poor lighting conditions in water medium. Many different image filtering techniques are utilized to improve image quality effectively. Images which are captured under water are generally degraded due to the effects of absorption and scattering. For example, underwater images with low contrast decrease the accuracy rate of underwater object detection and marine biology recognition. To overcome those limitations, a systematic underwater image enhancement method, which includes a contrast enhancement algorithm, is proposed. In this paper, we proposed an image based pre-processing technique i.e. CAUF-MCAHE algorithm to enhance the quality of the underwater images. Experiments are performed with some underwater images and results are compared with different existing algorithm. For comparing the performance, MSE mean square error and PSNR peak signal to noise ratio is used as parameters.
MCAHE (Modified Contrast adaptive histogram equalization), UF (unsharp filter), AHE (Adaptive histogram equalization), PSNR (Peak signal to noise ratio) & MSE (Mean square error)
[1] Will be updated very soon
