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DC Field | Value | Language |
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dc.contributor.author | Briffa, Johann A. | - |
dc.contributor.author | Das, Manohar | - |
dc.date.accessioned | 2022-08-22T09:44:15Z | - |
dc.date.available | 2022-08-22T09:44:15Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Briffa, J. A., & Das, M. (2003, January). Channel models for high-capacity information hiding in images. In Mathematics of Data/Image Coding, Compression, and Encryption V, with Applications Vol. 4793, Seattle, WA, United States. 135-144. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/100812 | - |
dc.description.abstract | We consider the scenario of blind information hiding in images as a communications channel, where the channel noise is caused by the embedding and blind extraction method as well as by any lossy compression method utilized to store and transmit the image. We assume that the objectives of the information hiding method are the maximization of payload and its visual and statistical imperceptibility; also, we assume that the warden is passive. For the specific method of Spread Spectrum Image Steganography (SSIS) we show that the channel can be modeled as a Laplacian distribution, and use this to estimate the channel SNR to be expected for any given signal embedding strength by applying the technique to a range of typical images. Finally, we model the effects of various signal extraction methods and lossy compression. This allows a fair comparison with respect to payload capacity. The results shown in this paper are useful for maximizing the channel usage. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | SPIE | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Cryptography | en_GB |
dc.subject | Data compression (Computer science) | en_GB |
dc.subject | Digital images -- Watermarking | en_GB |
dc.subject | Coding theory | en_GB |
dc.subject | Error-correcting codes (Information theory) | en_GB |
dc.title | Channel models for high-capacity information hiding in images | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | Mathematics of Data/Image Coding, Compression, and Encryption V, with Applications; | en_GB |
dc.bibliographicCitation.conferenceplace | Seattle, United States. 30/01/2003. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1117/12.451259 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
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Channel_models_for_high_capacity_information_hiding_in_images_2003.pdf Restricted Access | 393.35 kB | Adobe PDF | View/Open Request a copy |
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