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Review

The Use of Saliency in Underwater Computer Vision: A Review

Istituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo”, Consiglio Nazionale delle Ricerche, 56124 Pisa, Italy
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Received: 10 November 2020 / Revised: 15 December 2020 / Accepted: 20 December 2020 / Published: 23 December 2020
(This article belongs to the Special Issue Digital Underwater Imaging)
Underwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative properties of the data are systematically affected by a number of disturbing factors, such as the signal energy absorbed by the propagation medium or diverse noise categories contaminating the resulting imagery. Restoring the signal properties in order to exploit the carried information is typically a tough challenge. Visual saliency refers to the computational modeling of the preliminary perceptual stages of human vision, where the presence of conspicuous targets within a surveyed scene activates neurons of the visual cortex, specifically sensitive to meaningful visual variations. In relatively recent years, visual saliency has been exploited in the field of automated underwater exploration. This work provides a comprehensive overview of the computational methods implemented and applied in underwater computer vision tasks, based on the extraction of visual saliency-related features. View Full-Text
Keywords: visual saliency; underwater computer vision; underwater image understanding; multi-sensor survey visual saliency; underwater computer vision; underwater image understanding; multi-sensor survey
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MDPI and ACS Style

Reggiannini, M.; Moroni, D. The Use of Saliency in Underwater Computer Vision: A Review. Remote Sens. 2021, 13, 22. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13010022

AMA Style

Reggiannini M, Moroni D. The Use of Saliency in Underwater Computer Vision: A Review. Remote Sensing. 2021; 13(1):22. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13010022

Chicago/Turabian Style

Reggiannini, Marco, and Davide Moroni. 2021. "The Use of Saliency in Underwater Computer Vision: A Review" Remote Sensing 13, no. 1: 22. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13010022

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