# Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset

Source: [Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset](<https://www.sota2.com/research/paper/68fa65821e209131cea0aa50>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:28:43.855Z

Authors: Dana Berman, Deborah Levy, Shai Avidan, Tali Treibitz

Published: 2018-11-04T09:16:38.000Z

## Abstract

Underwater images suffer from color distortion and low contrast, because light is attenuated while it propagates through water. Attenuation under water varies with wavelength, unlike terrestrial images where attenuation is assumed to be spectrally uniform. The attenuation depends both on the water body and the 3D structure of the scene, making color restoration difficult.   Unlike existing single underwater image enhancement techniques, our method takes into account multiple spectral profiles of different water types. By estimating just two additional global parameters: the attenuation ratios of the blue-red and blue-green color channels, the problem is reduced to single image dehazing, where all color channels have the same attenuation coefficients. Since the water type is unknown, we evaluate different parameters out of an existing library of water types. Each type leads to a different restored image and the best result is automatically chosen based on color distribution.   We collected a dataset of images taken in different locations with varying water properties, showing color charts in the scenes. Moreover, to obtain ground truth, the 3D structure of the scene was calculated based on stereo imaging. This dataset enables a quantitative evaluation of restoration algorithms on natural images and shows the advantage of our method.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Underwater Image Enhancement on EUVP 1K paired (test)](<https://www.sota2.com/research/sota/underwater-image-enhancement-on-euvp-1k-paired-test.md>): Underwater Image Enhancement; EUVP 1K paired (test); PSNR: 18.85.

- [Underwater Image Enhancement on EUVP 2K unpaired (test)](<https://www.sota2.com/research/sota/underwater-image-enhancement-on-euvp-2k-unpaired-test.md>): Underwater Image Enhancement; EUVP 2K unpaired (test); UIQM: 2.75.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1811.01343>)

[PDF](<https://arxiv.org/pdf/1811.01343.pdf>)