Steganographic Capacity of Images, based on Image Equivalence Classes

Klaus Hansen; Christian Hammer; Jens Damgaard Andersen; Lars R. Randleff

Steganographic Capacity of Images, based on Image Equivalence Classes

Klaus Hansen, Christian Hammer, Jens Damgaard Andersen, Lars R. Randleff

Datalogisk Institut

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Abstract

The problem of hiding information imperceptibly can be formulated as the problem of determining if a given image is a member of a sufficiently large equivalence class of images which to the Human Visual System appears to be the same image. This makes it possible to replace the given image with a modified image similar in appearance but carrying imperceptibly coded information. This paper presents a framework and an experimental algorithm to estimate upper bounds for the size of an equivalence class.

Originalsprog	Engelsk
Titel	Proceedings ACM Multimedia '01 : Workshop on Multimedia and Security
Forlag	Association for Computing Machinery
Publikationsdato	2001
Sider	36-39
ISBN (Trykt)	1-58113-393-6
Status	Udgivet - 2001
Begivenhed	ACM Multimedia '01, Workshop on Multimedia and Security - Ottawa, Canada Varighed: 30 sep. 2001 → 5 okt. 2001

Konference

Konference	ACM Multimedia '01, Workshop on Multimedia and Security
Land/Område	Canada
By	Ottawa
Periode	30/09/2001 → 05/10/2001

Emneord

Det Natur- og Biovidenskabelige Fakultet
datalogi
billedbehandling
kodning og informationsteori
vandmærkning

Citationsformater

Steganographic Capacity of Images, based on Image Equivalence Classes. / Hansen, Klaus; Hammer, Christian; Andersen, Jens Damgaard; Randleff, Lars R.

Proceedings ACM Multimedia '01: Workshop on Multimedia and Security. Association for Computing Machinery, 2001. s. 36-39.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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AB - The problem of hiding information imperceptibly can be formulated as the problem of determining if a given image is a member of a sufficiently large equivalence class of images which to the Human Visual System appears to be the same image. This makes it possible to replace the given image with a modified image similar in appearance but carrying imperceptibly coded information. This paper presents a framework and an experimental algorithm to estimate upper bounds for the size of an equivalence class.

KW - Faculty of Science

KW - datalogi

KW - billedbehandling

KW - kodning og informationsteori

KW - vandmærkning

KW - computer science

KW - image processing and computer vision

KW - coding and information Theory

KW - digital watermarking

KW - information hiding

KW - image equivalence classes

KW - perceptual tolerance

M3 - Article in proceedings

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BT - Proceedings ACM Multimedia '01

PB - Association for Computing Machinery

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