eprintid: 8713
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/87/13
datestamp: 2023-11-09 16:20:38
lastmod: 2023-11-09 16:20:38
status_changed: 2023-11-09 16:13:20
type: conference_item
metadata_visibility: show
creators_name: Khan, A.
creators_name: Ali, S.S.A.
creators_name: Malik, A.S.
creators_name: Anwer, A.
creators_name: Meriaudeau, F.
title: Underwater image enhancement by wavelet based fusion
ispublished: pub
keywords: Fusion reactions; Image enhancement; Image fusion; Underwater imaging; Wavelet analysis, Absorption and scattering of light; hazy images; Image formation process; Inspection activities; State-of-the-art methods; Suspended particles; Underwater; wavelet, Image processing
note: cited By 37; Conference of 6th IEEE International Conference on Underwater System Technology: Theory and Applications, USYS 2016 ; Conference Date: 13 December 2016 Through 14 December 2016; Conference Code:127275
abstract: The image captured in water is hazy due to the several effects of the underwater medium. These effects are governed by the suspended particles that lead to absorption and scattering of light during image formation process. The underwater medium is not friendly for imaging data and brings low contrast and fade color issues. Therefore, during any image based exploration and inspection activity, it is essential to enhance the imaging data before going for further processing. This paper presents a wavelet-based fusion method to enhance the hazy underwater images by addressing the low contrast and color alteration issues. The publicly available hazy underwater images are enhanced and analyzed qualitatively with some state of the art methods. The quantitative study of image quality depicts promising results. © 2016 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018353321&doi=10.1109%2fUSYS.2016.7893927&partnerID=40&md5=2663b27a75647107fd9d706a2ec9804d
id_number: 10.1109/USYS.2016.7893927
full_text_status: none
publication: USYS 2016 - 2016 IEEE 6th International Conference on Underwater System Technology: Theory and Applications
pagerange: 83-88
refereed: TRUE
isbn: 9781509057986
citation:   Khan, A. and Ali, S.S.A. and Malik, A.S. and Anwer, A. and Meriaudeau, F.  (2017) Underwater image enhancement by wavelet based fusion.  In: UNSPECIFIED.