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Rendering of Synthetic Underwater Images Towards Restoration

Authors:

Uma MudenagudiAuthors Info & Claims

SA '21 Posters: SIGGRAPH Asia 2021 Posters

Article No.: 37, Pages 1 - 2

https://doi.org/10.1145/3476124.3488637

Published: 14 December 2021 Publication History

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Abstract

In this paper, we propose to render synthetic underwater images considering revised image formation model, towards modeling restoration. Underwater images suffer from low contrast, color cast and haze due to dynamically varying properties of water, floating particles and submerged sediments. Due to this, light reaching the object, from the surface is subjected to direct scattering, backscattering and forward scattering. We propose to model this varying nature of light to render synthetic underwater images based on depth information and inherent optical properties of Jerlov water types.

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References

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Derya Akkaynak and Tali Treibitz. 2018. A Revised Underwater Image Formation Model. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Cited By

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Desai CBenur STabib RPatil UMudenagudi U(2023)DepthCue: Restoration of Underwater Images Using Monocular Depth as a Clue2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)10.1109/WACVW58289.2023.00025(196-205)Online publication date: Jan-2023
https://doi.org/10.1109/WACVW58289.2023.00025
Ershov ESavchik AShepelev DBanic NBrown MTimofte RKoscevic KFreeman MTesalin VBocharov DSemenkov ISubasic MLoncaric STerekhin ALiu SFeng CWang HZhu RLi YLei LLi ZYi SHan LWu RJin XGuo CKinli FMentes SOzcan BKirac FZini SRota CBuzzelli MBianco SSchettini RLi WMa YWang TXu RSong FChen WYang HHuang ZChang HKuo SLiang ZZhou SFeng RLi CChen XSong BZhang SLiu LWang ZRyu DBae HKwon TDesai CAkalwadi NJoshi AMandi CMalagi SUppin ASudheer Reddy SAshok Tabib RPatil UMudenagudi U(2022)NTIRE 2022 Challenge on Night Photography Rendering2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW56347.2022.00135(1286-1299)Online publication date: Jun-2022
https://doi.org/10.1109/CVPRW56347.2022.00135
Desai CReddy BTabib RPatil UMudenagudi U(2022)AquaGAN: Restoration of Underwater Images2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW56347.2022.00044(295-303)Online publication date: Jun-2022
https://doi.org/10.1109/CVPRW56347.2022.00044
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Published In

SA '21 Posters: SIGGRAPH Asia 2021 Posters

December 2021

87 pages

ISBN:9781450386876

DOI:10.1145/3476124

Editors:
Shuzo John Shiota
CEO, Polygon Pictures Inc., Japan
,
Ayumi Kimura
Research Manager at OLM Digital, Inc., Japan and Program Manager and Collaboration Coordinator at CMIC, Victoria University of Wellington, New Zealand
,
Wan-Chun Alex Ma
Senior Research Scientist, ByteDance, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 14 December 2021

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SA '21: SIGGRAPH Asia 2021

December 14 - 17, 2021

Tokyo, Japan

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Desai CBenur STabib RPatil UMudenagudi U(2023)DepthCue: Restoration of Underwater Images Using Monocular Depth as a Clue2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)10.1109/WACVW58289.2023.00025(196-205)Online publication date: Jan-2023
https://doi.org/10.1109/WACVW58289.2023.00025
Ershov ESavchik AShepelev DBanic NBrown MTimofte RKoscevic KFreeman MTesalin VBocharov DSemenkov ISubasic MLoncaric STerekhin ALiu SFeng CWang HZhu RLi YLei LLi ZYi SHan LWu RJin XGuo CKinli FMentes SOzcan BKirac FZini SRota CBuzzelli MBianco SSchettini RLi WMa YWang TXu RSong FChen WYang HHuang ZChang HKuo SLiang ZZhou SFeng RLi CChen XSong BZhang SLiu LWang ZRyu DBae HKwon TDesai CAkalwadi NJoshi AMandi CMalagi SUppin ASudheer Reddy SAshok Tabib RPatil UMudenagudi U(2022)NTIRE 2022 Challenge on Night Photography Rendering2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW56347.2022.00135(1286-1299)Online publication date: Jun-2022
https://doi.org/10.1109/CVPRW56347.2022.00135
Desai CReddy BTabib RPatil UMudenagudi U(2022)AquaGAN: Restoration of Underwater Images2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW56347.2022.00044(295-303)Online publication date: Jun-2022
https://doi.org/10.1109/CVPRW56347.2022.00044
Li WYang XLiu YOu X(2022)Single underwater image enhancement based on the reconstruction from gradientsMultimedia Tools and Applications10.1007/s11042-022-14158-382:11(16973-16983)Online publication date: 4-Nov-2022
https://dl.acm.org/doi/10.1007/s11042-022-14158-3
Desai CBenur SPatil UMudenagudi U(undefined)RSUIGM: Realistic Synthetic Underwater Image Generation with Image Formation ModelACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3656473
https://dl.acm.org/doi/10.1145/3656473

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Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography

Underwater Image Restoration Based on Image Blurriness and Light Absorption

Automatic Red-Channel underwater image restoration

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