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On the way to solve lighting problems in underwater imaging

A major obstacle to processing images of the ocean floor comes from the absorption and scattering effects of the light in the aquatic environment. Due to the absorption of the natural light, underwater vehicles often require artificial light sources attached to them to provide the adequate illumination. Unfortunately, these flashlights tend to illuminate the scene in a nonuniform fashion, and, as the vehicle moves, induce shadows in the scene. For this reason, the first step towards application of standard computer vision techniques to underwater imaging requires dealing first with these lighting problems. This paper analyses and compares existing methodologies to deal with low-contrast, nonuniform illumination in underwater image sequences. The reviewed techniques include: (i) study of the illumination-reflectance model, (ii) local histogram equalization, (iii) homomorphic filtering, and, (iv) subtraction of the illumination field. Several experiments on real data have been conducted to compare the different approaches

© OCEANS ’02 MTS/IEEE, 2002, vol. 2, p. 1018-1024

IEEE

Author: García Campos, Rafael
Nicosevici, Tudor
Cufí i Solé, Xavier
Date: 2002
Abstract: A major obstacle to processing images of the ocean floor comes from the absorption and scattering effects of the light in the aquatic environment. Due to the absorption of the natural light, underwater vehicles often require artificial light sources attached to them to provide the adequate illumination. Unfortunately, these flashlights tend to illuminate the scene in a nonuniform fashion, and, as the vehicle moves, induce shadows in the scene. For this reason, the first step towards application of standard computer vision techniques to underwater imaging requires dealing first with these lighting problems. This paper analyses and compares existing methodologies to deal with low-contrast, nonuniform illumination in underwater image sequences. The reviewed techniques include: (i) study of the illumination-reflectance model, (ii) local histogram equalization, (iii) homomorphic filtering, and, (iv) subtraction of the illumination field. Several experiments on real data have been conducted to compare the different approaches
Format: application/pdf
Citation: Garcia, R., Nicosevici, T., i Cufi, X. (2002). On the way to solve lighting problems in underwater imaging. OCEANS ’02 MTS/IEEE, 2, 1018-1024. Recuperat 20 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1192107
ISBN: 0-7803-7534-3
Document access: http://hdl.handle.net/10256/2343
Language: eng
Publisher: IEEE
Collection: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/OCEANS.2002.1192107
Articles publicats (D-ATC)
Is part of: © OCEANS ’02 MTS/IEEE, 2002, vol. 2, p. 1018-1024
Rights: Tots els drets reservats
Subject: Imatges -- Processament
Imatge, Tècniques d’
Image processing
Imaging systems
Computer vision
Visió per ordinador
Title: On the way to solve lighting problems in underwater imaging
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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