research-article

Single image dehazing

Author:

Raanan FattalAuthors Info & Claims

SIGGRAPH '08: ACM SIGGRAPH 2008 papers

Article No.: 72, Pages 1 - 9

https://doi.org/10.1145/1399504.1360671

Published: 01 August 2008 Publication History

Abstract

In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in addition to the transmission function. This allows us to resolve ambiguities in the data by searching for a solution in which the resulting shading and transmission functions are locally statistically uncorrelated. A similar principle is used to estimate the color of the haze. Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.

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Cited By

Durvasula UVadde STatavarthi SB VKodukula VChityala K(2025)An overview of Image Dehazing AlgorithmsITM Web of Conferences10.1051/itmconf/2025740101074(01010)Online publication date: 20-Feb-2025
https://doi.org/10.1051/itmconf/20257401010
Chaudhary SGupta SIniyan S(2024)Enhanced Feature Extraction for Image Dehazing: A Comparative Study between Deep Learning Architectures and FFA-NET2024 Second International Conference on Inventive Computing and Informatics (ICICI)10.1109/ICICI62254.2024.00046(228-235)Online publication date: 11-Jun-2024
https://doi.org/10.1109/ICICI62254.2024.00046
Ali ASarkar RChaudhuri S(2024)Wavelet-based Auto-Encoder for simultaneous haze and rain removal from imagesPattern Recognition10.1016/j.patcog.2024.110370150:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.patcog.2024.110370
Show More Cited By

Index Terms

Single image dehazing
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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cover image ACM Conferences

SIGGRAPH '08: ACM SIGGRAPH 2008 papers

August 2008

887 pages

ISBN:9781450301121

DOI:10.1145/1399504

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Published: 01 August 2008

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SIGGRAPH '08: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 11 - 15, 2008

California, Los Angeles

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SIGGRAPH '08 Paper Acceptance Rate 90 of 518 submissions, 17%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

Durvasula UVadde STatavarthi SB VKodukula VChityala K(2025)An overview of Image Dehazing AlgorithmsITM Web of Conferences10.1051/itmconf/2025740101074(01010)Online publication date: 20-Feb-2025
https://doi.org/10.1051/itmconf/20257401010
Chaudhary SGupta SIniyan S(2024)Enhanced Feature Extraction for Image Dehazing: A Comparative Study between Deep Learning Architectures and FFA-NET2024 Second International Conference on Inventive Computing and Informatics (ICICI)10.1109/ICICI62254.2024.00046(228-235)Online publication date: 11-Jun-2024
https://doi.org/10.1109/ICICI62254.2024.00046
Ali ASarkar RChaudhuri S(2024)Wavelet-based Auto-Encoder for simultaneous haze and rain removal from imagesPattern Recognition10.1016/j.patcog.2024.110370150:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.patcog.2024.110370
Li CYan WZhao HZhou SWang Y(2024)TFFD-Net: an effective two-stage mixed feature fusion and detail recovery dehazing networkThe Visual Computer10.1007/s00371-024-03642-6Online publication date: 18-Oct-2024
https://doi.org/10.1007/s00371-024-03642-6
Dubey AOm SDogra A(2024)Revolutionary Dehazing Advances: A Comparative StudyProceedings of International Conference on Recent Innovations in Computing10.1007/978-981-97-3442-9_31(451-468)Online publication date: 23-Oct-2024
https://doi.org/10.1007/978-981-97-3442-9_31
Sharma TVerma NSharma TVerma N(2024)IntroductionArtificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement10.1007/978-981-97-2011-8_1(1-16)Online publication date: 18-Jun-2024
https://doi.org/10.1007/978-981-97-2011-8_1
Huang HLi ZNiu MMiah MGao TWang H(2023)A Sea Fog Image Defogging Method Based on the Improved Convex Optimization ModelJournal of Marine Science and Engineering10.3390/jmse1109177511:9(1775)Online publication date: 11-Sep-2023
https://doi.org/10.3390/jmse11091775
Patel RBabu ASunanda KCharan Kumar CAdarsh A(2023)Designing of image enhancement technique for contrast and color improvement based on haze removal of underwater images2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)10.1109/ViTECoN58111.2023.10157761(1-6)Online publication date: 5-May-2023
https://doi.org/10.1109/ViTECoN58111.2023.10157761
Patel RBabu ASunanda KKumar CTripathi S(2023)Developing an image strengthening method for improving the contrast and colours of underwater photographs focused on haze removal2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)10.1109/ViTECoN58111.2023.10156943(1-6)Online publication date: 5-May-2023
https://doi.org/10.1109/ViTECoN58111.2023.10156943
Dhedhi AMandal SDas R(2023)Attentions in Deep Framework to Enhance Images Degraded by Non-Homogeneous Haze2023 IEEE 20th India Council International Conference (INDICON)10.1109/INDICON59947.2023.10440742(515-520)Online publication date: 14-Dec-2023
https://doi.org/10.1109/INDICON59947.2023.10440742
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