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Underwater Image Restoration Based on Illumination Normalization and Deblurring

I. Jeya Kumar1 , A. Lenin Fred2 , C. Seldev Christopher3

  1. Department of CSE, Ponjesly College of Engineering, Nagercoil, India.
  2. Department of CSE, Mar Ephraem College of Engineering & Technology, Marthandam, India.
  3. Department of CSE, St.Xavier’s Catholic College of Engineering, Nagercoil, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 288-296, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.288296

Online published on May 31, 2018

Copyright © I. Jeya Kumar, A. Lenin Fred, C. Seldev Christopher . 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: I. Jeya Kumar, A. Lenin Fred, C. Seldev Christopher, “Underwater Image Restoration Based on Illumination Normalization and Deblurring,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.288-296, 2018.

MLA Style Citation: I. Jeya Kumar, A. Lenin Fred, C. Seldev Christopher "Underwater Image Restoration Based on Illumination Normalization and Deblurring." International Journal of Computer Sciences and Engineering 6.5 (2018): 288-296.

APA Style Citation: I. Jeya Kumar, A. Lenin Fred, C. Seldev Christopher, (2018). Underwater Image Restoration Based on Illumination Normalization and Deblurring. International Journal of Computer Sciences and Engineering, 6(5), 288-296.

BibTex Style Citation:
@article{Kumar_2018,
author = {I. Jeya Kumar, A. Lenin Fred, C. Seldev Christopher},
title = {Underwater Image Restoration Based on Illumination Normalization and Deblurring},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {288-296},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1975},
doi = {https://doi.org/10.26438/ijcse/v6i5.288296}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.288296}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1975
TI - Underwater Image Restoration Based on Illumination Normalization and Deblurring
T2 - International Journal of Computer Sciences and Engineering
AU - I. Jeya Kumar, A. Lenin Fred, C. Seldev Christopher
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 288-296
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

The fundamental reason for submerged image handling is to enhance submerged image enhancement. The preparing of submerged image caught is essential in light of the fact that the nature of submerged images influence and these images drives some significant issues when contrasted with images from a clearer domain. Because of the presence of clean particles in the water, submerged images suffer from the backscattering impact. To overcome this drawback I propose the new method called illumination normalization and deblurring of underwater image restoration. In this paper propose, first estimate the illumination directions of underwater images and cope with the problem of illumination normalization. Secondly deblurring of the underwater image using deconvolution algorithm and finally by the fusing both the results the restored image is acquired.The quality of the enhanced image is evaluated by using the metric is called blind/reference less image spatial quality evaluator (BRISQUE).

Key-Words / Index Term

Image Restoration, Illumination Direction, Illumination Normalization, Deblurring, Deconvolution

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