research-article

Estimating vignetting function from a single image for image authentication

Author:

Siwei LyuAuthors Info & Claims

MM&Sec '10: Proceedings of the 12th ACM workshop on Multimedia and security

Pages 3 - 12

https://doi.org/10.1145/1854229.1854233

Published: 09 September 2010 Publication History

Abstract

Vignetting is the phenomenon of reduced brightness in an image at the peripheral region compared to the central region. As patterns of vignetting are characteristics of lens models, they can be used to authenticate digital images for forensic analysis. In this paper, we describe a new method for model based single image vignetting estimation and correction. We use the statistical properties of natural images in the discrete derivative domains and formulate the vignetting estimation problem as a maximum likelihood estimation. We further provide a simple and efficient procedure for better initialization of the numerical optimization. Empirical evaluations of the proposed method using synthesized and real vignetted images show significant gain in both performance and running efficiency in correcting vignetting from digital images, and the estimated vignetting functions are shown to be effective in classifying different lens models.

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Cited By

Cao HGu XZhang MZhang HChen X(2022)Vignetting Correction Based on a Two-Dimensional Gaussian Filter With Harmony for Area Array SensorsIEEE Transactions on Computational Imaging10.1109/TCI.2022.31884138(576-584)Online publication date: 2022
https://doi.org/10.1109/TCI.2022.3188413
Mandelli SBonettini NBestagini P(2022)Source Camera Model IdentificationMultimedia Forensics10.1007/978-981-16-7621-5_7(133-173)Online publication date: 2-Apr-2022
https://doi.org/10.1007/978-981-16-7621-5_7
Dal Cortivo DMandelli SBestagini PTubaro S(2021)CNN-Based Multi-Modal Camera Model Identification on Video SequencesJournal of Imaging10.3390/jimaging70801357:8(135)Online publication date: 5-Aug-2021
https://doi.org/10.3390/jimaging7080135
Show More Cited By

Index Terms

Estimating vignetting function from a single image for image authentication
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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Published In

cover image ACM Conferences

MM&Sec '10: Proceedings of the 12th ACM workshop on Multimedia and security

September 2010

264 pages

ISBN:9781450302869

DOI:10.1145/1854229

General Chair:
Patrizio Campisi
Università degli Studi Roma TRE, Rome, Italy
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University Magdeburg, Germany
,
Scott Craver
SUNY Binghamton, USA

Copyright © 2010 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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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2010

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MM&Sec '10

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SIGMM

MM&Sec '10: Multimedia and Security Workshop

September 9 - 10, 2010

Roma, Italy

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Citations

Cited By

Cao HGu XZhang MZhang HChen X(2022)Vignetting Correction Based on a Two-Dimensional Gaussian Filter With Harmony for Area Array SensorsIEEE Transactions on Computational Imaging10.1109/TCI.2022.31884138(576-584)Online publication date: 2022
https://doi.org/10.1109/TCI.2022.3188413
Mandelli SBonettini NBestagini P(2022)Source Camera Model IdentificationMultimedia Forensics10.1007/978-981-16-7621-5_7(133-173)Online publication date: 2-Apr-2022
https://doi.org/10.1007/978-981-16-7621-5_7
Dal Cortivo DMandelli SBestagini PTubaro S(2021)CNN-Based Multi-Modal Camera Model Identification on Video SequencesJournal of Imaging10.3390/jimaging70801357:8(135)Online publication date: 5-Aug-2021
https://doi.org/10.3390/jimaging7080135
Sandru AHyyti HVisala AKujala P(2020)A Complete Process For Shipborne Sea-Ice Field Analysis Using Machine VisionIFAC-PapersOnLine10.1016/j.ifacol.2020.12.145853:2(14539-14545)Online publication date: 2020
https://doi.org/10.1016/j.ifacol.2020.12.1458
Zhang DYang QChen T(2019)Vignetting correction for a single star-sky observation imageApplied Optics10.1364/AO.58.00433758:16(4337)Online publication date: 24-May-2019
https://doi.org/10.1364/AO.58.004337
Kang WKong H(2019)Improving the shutter NUC algorithm by changing the shutter position to achieve a small and lightweight system2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)10.1109/ITC-CSCC.2019.8793361(1-4)Online publication date: Jun-2019
https://doi.org/10.1109/ITC-CSCC.2019.8793361
Chen JChau L(2017)Light Field Compressed Sensing Over a Disparity-Aware DictionaryIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.251348527:4(855-865)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TCSVT.2015.2513485
Kordecki ABal APalus H(2017)A smooth local polynomial model of vignetting2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)10.1109/MMAR.2017.8046944(878-882)Online publication date: Aug-2017
https://doi.org/10.1109/MMAR.2017.8046944
Hel‐Or HYerushalmy I(2015)Camera‐Based Image Forgery DetectionHandbook of Digital Forensics of Multimedia Data and Devices10.1002/9781118705773.ch14(522-571)Online publication date: 18-Dec-2015
https://doi.org/10.1002/9781118705773.ch14
PICCININI FLUCARELLI EGHERARDI ABEVILACQUA A(2012)Multi‐image based method to correct vignetting effect in light microscopy imagesJournal of Microscopy10.1111/j.1365-2818.2012.03645.x248:1(6-22)Online publication date: 17-Aug-2012
https://doi.org/10.1111/j.1365-2818.2012.03645.x
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