A methodology for the systematic assessment of underwater video processing algorithms

Miguel Arredondo, Katia Lebart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)


The use of video as an underwater sensor is wide spread in underwater communities. However, the automated processing and analysis of video data is only emerging. The underwater community can draw from an important legacy of video/optical image processing algorithms developed for other contexts, but little methodology on how to assess their suitability for underwater images currently exists. This paper suggests a methodology to quantitatively assess the robustness and behavior of algorithms in the face of underwater noises. It relies on the systematic simulation of underwater specific perturbations of images, with varying degrees of severity. The methodology enables to benchmark algorithms' suitability for underwater conditions. © 2005 IEEE.

Original languageEnglish
Title of host publicationOceans 2005 - Europe
Number of pages6
Publication statusPublished - 2005
EventOceans 2005 - Europe - Brest, France
Duration: 20 Jun 200523 Jun 2005


ConferenceOceans 2005 - Europe


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