TY - GEN
T1 - Unveiling optical properties in underwater images
AU - Bekerman, Yael
AU - Avidan, Shai
AU - Treibitz, Tali
N1 - Publisher Copyright: © 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - The appearance of underwater scenes is highly governed by the optical properties of the water (attenuation and scattering). However, most research effort in physics-based underwater image reconstruction methods is placed on devising image priors for estimating scene transmission, and less on estimating the optical properties. This limits the quality of the results. This work focuses on robust estimation of the water properties. First, as opposed to previous methods that used fixed values for attenuation, we estimate it from the color distribution in the image. Second, we estimate the veiling-light color from objects in the scene, contrary to looking at background pixels. We conduct an extensive qualitative and quantitative evaluation of our method vs. most recent methods on several datasets. As our estimation is more robust our method provides superior results including on challenging scenes.
AB - The appearance of underwater scenes is highly governed by the optical properties of the water (attenuation and scattering). However, most research effort in physics-based underwater image reconstruction methods is placed on devising image priors for estimating scene transmission, and less on estimating the optical properties. This limits the quality of the results. This work focuses on robust estimation of the water properties. First, as opposed to previous methods that used fixed values for attenuation, we estimate it from the color distribution in the image. Second, we estimate the veiling-light color from objects in the scene, contrary to looking at background pixels. We conduct an extensive qualitative and quantitative evaluation of our method vs. most recent methods on several datasets. As our estimation is more robust our method provides superior results including on challenging scenes.
KW - Computational Photography
KW - Image Color Analysis
KW - Image Restoration
UR - http://www.scopus.com/inward/record.url?scp=85086641348&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/iccp48838.2020.9105267
DO - https://doi.org/10.1109/iccp48838.2020.9105267
M3 - Conference contribution
T3 - IEEE International Conference on Computational Photography, ICCP 2020
BT - IEEE International Conference on Computational Photography, ICCP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Computational Photography, ICCP 2020
Y2 - 24 April 2020 through 26 April 2020
ER -