research-article

Subjective and objective quality assessment of transparently encrypted JPEG2000 images

Authors:

Heinz HofbauerAuthors Info & Claims

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

Pages 247 - 252

https://doi.org/10.1145/1854229.1854272

Published: 09 September 2010 Publication History

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Abstract

Transparent encryption has two main requirements, i.e. security and perceived quality. The perceptual quality aspect has never been thoroughly investigated. In this work, three variants to transparently encrypt JPEG2000 images are compared from a perceptual quality viewpoint. The assessment is based on subjective and objective quality assessment of the transparently encrypted images and if the requirements with respect to desired functionalities can be met by the respective techniques. In particular, we focus on the question if it is possible to predict the subjective quality of the encrypted (and attacked) images as given by the Mean Opinion Score (MOS) with state-of-the-art objective quality metrics. Additionally, we answer the question which objective quality measure is suited best to determine an image quality for which a certain subjective quality is required.

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Cited By

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Hofbauer HAutrusseau FUhl A(2022)Low Quality and Recognition of Image ContentIEEE Transactions on Multimedia10.1109/TMM.2021.310339424(3595-3610)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3103394
Fezza SKeita MHamidouche W(2021)Visual Quality and Security Assessment of Perceptually Encrypted Images Based on Multi-Output Deep Neural Network2021 9th European Workshop on Visual Information Processing (EUVIP)10.1109/EUVIP50544.2021.9483966(1-6)Online publication date: 23-Jun-2021
https://doi.org/10.1109/EUVIP50544.2021.9483966
Hofbauer HAutrusseau FUhl A(2021)To recognize or not to recognize – A database of encrypted images with subjective recognition ground truthInformation Sciences10.1016/j.ins.2020.11.047551(128-145)Online publication date: Apr-2021
https://doi.org/10.1016/j.ins.2020.11.047
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Index Terms

Subjective and objective quality assessment of transparently encrypted JPEG2000 images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Information & Contributors

Information

Published In

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

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2010

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MM&Sec '10

Sponsor:

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

View all

Hofbauer HAutrusseau FUhl A(2022)Low Quality and Recognition of Image ContentIEEE Transactions on Multimedia10.1109/TMM.2021.310339424(3595-3610)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3103394
Fezza SKeita MHamidouche W(2021)Visual Quality and Security Assessment of Perceptually Encrypted Images Based on Multi-Output Deep Neural Network2021 9th European Workshop on Visual Information Processing (EUVIP)10.1109/EUVIP50544.2021.9483966(1-6)Online publication date: 23-Jun-2021
https://doi.org/10.1109/EUVIP50544.2021.9483966
Hofbauer HAutrusseau FUhl A(2021)To recognize or not to recognize – A database of encrypted images with subjective recognition ground truthInformation Sciences10.1016/j.ins.2020.11.047551(128-145)Online publication date: Apr-2021
https://doi.org/10.1016/j.ins.2020.11.047
Xu MJiang LLi CWang ZTao X(2020)Viewport-based CNN: A Multi-task Approach for Assessing 360° Video QualityIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2020.3028509(1-1)Online publication date: 2020
https://doi.org/10.1109/TPAMI.2020.3028509
Guo SXiang TLi XYang Y(2020)PEID: A Perceptually Encrypted Image Database for Visual Security EvaluationIEEE Transactions on Information Forensics and Security10.1109/TIFS.2019.293541515(1151-1163)Online publication date: 2020
https://doi.org/10.1109/TIFS.2019.2935415
Rieger MHammerle-Uhl JUhl A(2020)Security Assessment of Partially Encrypted Visual Data: Using Iris Recognition as Generic Measure2020 8th International Workshop on Biometrics and Forensics (IWBF)10.1109/IWBF49977.2020.9107967(1-6)Online publication date: Apr-2020
https://doi.org/10.1109/IWBF49977.2020.9107967
Li CXu MDu XWang ZBoll SMu Lee KLuo JZhu WByun HWen Chen CLienhart RMei T(2018)Bridge the Gap Between VQA and Human Behavior on Omnidirectional VideoProceedings of the 26th ACM international conference on Multimedia10.1145/3240508.3240581(932-940)Online publication date: 15-Oct-2018
https://dl.acm.org/doi/10.1145/3240508.3240581
Hofbauer HUhl ABöhme RPasquini CBoato GSchöttle P(2018)Applicability of No-Reference Visual Quality Indices for Visual Security AssessmentProceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security10.1145/3206004.3206007(139-144)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3206004.3206007
Hofbauer HUhl A(2016)Identifying deficits of visual security metrics for imagesImage Communication10.1016/j.image.2016.05.00146:C(60-75)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.image.2016.05.001
Engel DStütz TUhl A(2012)Assessing JPEG2000 encryption with key-dependent wavelet packetsEURASIP Journal on Information Security10.1186/1687-417X-2012-22012:1Online publication date: 13-Apr-2012
https://doi.org/10.1186/1687-417X-2012-2

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