eprintid: 8988
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/89/88
datestamp: 2023-11-09 16:20:55
lastmod: 2023-11-09 16:20:55
status_changed: 2023-11-09 16:14:00
type: conference_item
metadata_visibility: show
creators_name: Khan, A.
creators_name: Meriaudeau, F.
creators_name: Ali, S.S.A.
creators_name: Malik, A.S.
title: Underwater image enhancement and dehazing using wavelet based fusion for pipeline corrosion inspection
ispublished: pub
keywords: Corrosion; Demulsification; Fusion reactions; Inspection; Light; Pipelines; Water absorption; Wavelet analysis; Wavelet decomposition, Corrosion estimation; Corrosion inspection; Dehazing; Inverse composition; Pipeline corrosion inspections; Scattering and absorption; Suspended particles; wavelet, Image fusion
note: cited By 1; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
abstract: Most of the underwater images contain a layer of haze, formed by suspended particles in the turbid water that create scattering and absorption of light. Absorption limits the visibility due to light attenuation while scattering blurs the image features, ultimately the underwater images captured by the camera in such a medium, are hazy and degraded as compared to the normal images taken in the atmosphere. In this paper, we are proposing a wavelet-based fusion method to enhance and dehaze the underwater hazy images of corroded pipeline. The main aim of this research is to inspect the underwater pipelines for the corrosion estimation. There are three main stages in the proposed method. At the initial stage, the hazy underwater image of corroded pipeline is enhanced by adjusting its contrast and the color profiles. In the second stage, the wavelet-based decomposition and inverse composition are performed to fuse the enhanced versions into a dehazed image. At the final stage, the corrosion on the surface of the pipeline is estimated. In order to validate the performance, the corrosion is estimated in both hazy and dehazed image. © 2016 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011957169&doi=10.1109%2fICIAS.2016.7824071&partnerID=40&md5=3d80297e06b4108860823decdfe56d74
id_number: 10.1109/ICIAS.2016.7824071
full_text_status: none
publication: International Conference on Intelligent and Advanced Systems, ICIAS 2016
refereed: TRUE
isbn: 9781509008452
citation:   Khan, A. and Meriaudeau, F. and Ali, S.S.A. and Malik, A.S.  (2017) Underwater image enhancement and dehazing using wavelet based fusion for pipeline corrosion inspection.  In: UNSPECIFIED.