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Code & Datasets

Underwater Image Reconstruction

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SEA-THRU DATASET

Dataset includes 5 subsets with RAW images and corresponding depth maps. 

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SQUID: STEREO QUANTITATIVE UNDERWATER IMAGE DATASET

The database contains 57 stereo pairs from four different sites in Israel, two in the Red Sea (representing tropical water) and two in the Mediterranean Sea (temperate water). The dataset includes RAW images, TIF files, camera clibration files, and distance maps.

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SQUID: SOURCE CODE UNDERWATER COLOR RESTORATION

This is a revised implementation of the color restoration method described in: Diving into Haze-Lines: Color Restoration of Underwater Images. Berman, D. and Treibitz T. and Avidan S., BMVC2017

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FLSea VI: Underwater forward-looking visual-inertial dataset

This is an underwater visual-inertial data, collected in the forward-looking view in shallow water (less than 10m). 
The dataset includes 12 individual sets, collected in two different locations - the Mediterranean and Red Sea in Israel.

Coral & Fluorescence

Data from: IMPROVING AUTOMATED ANNOTATION OF BENTHIC SURVEY IMAGES USING WIDE-BAND FLUORESENCE 

This data package contains all images and point annotations used in the present publication.

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Data from: BENTHOS DATASET; SEGMENTED PHOTOMOSAICS FROM THREE OCEANIC ENVIRONMENTS

This dataset contains fully labeled photomosaics from 3 oceanic environments with over 4500 segmented objects. This folder also contains a Matlab script for extracting community statistics from labeled photomosaics.

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REEFS4D dataset from the paper Assessment of storm impact on coral reef structural complexity." Science of The Total Environment (2023): 164493.

This data set contains 21 3D models of seven coral reefs across three time-points: before, immediately after, and two years after a powerful storm. 

Dehazing

NON-LOCAL IMAGE DEHAZING

Code and dataset.

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Scene-specific Color Calibration

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CONSISTENT IMAGING WITH CONSUMER CAMERAS

These set of scripts accompany the paper:

This code is for the use of commercial-off-the-shelf (COTS) digital cameras for scientific data acquisition and scene-specific color calibration

by Akkaynak et al.

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