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Towards Lower Bounds on Distortion in Information Hiding

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dc.contributor.author Kim, Younhee
dc.creator Kim, Younhee
dc.date 2008-09-11
dc.date.accessioned 2009-01-30T18:51:07Z
dc.date.available NO_RESTRICTION en
dc.date.available 2009-01-30T18:51:07Z
dc.date.issued 2009-01-30T18:51:07Z
dc.identifier.uri http://hdl.handle.net/1920/3403
dc.description.abstract Information hiding refers to embedding additional digital data in cover objects–e.g. audio, image or video signals–by modifying the cover objects. Information hiding techniques have been used in a variety of application domains including copyright protection for digital media, content authentication, media forensics, and covert communications. The goal of information hiding techniques is to minimize the effect that the embedding process has on the cover object. Embedding processes introduce distortion to cover images and change the appearance as well as statistics of images. This is undesirable in many applications including fragile watermarking and steganography. In this dissertation, information hiding algorithms using JPEG images have been proposed with three goals: minimizing distortion due to embedding, preserving statistical properties during embedding, and predicting a distortion level for a given message length. Proposed methods use rounding errors created at the JPEG quantization step as side information, and the methods are based on block-based coding techniques known as parity coding and matrix coding. A mathematical analysis predicts the distortion introduced by each proposed algorithm as a function of message length and the rounding error distribution of the cover image. Minimization of distortion in proposed methods was experimentally validated. Extensive tests using state-of-the-art steganalysis software show that the proposed information hiding methods compare favorably to other published methods for given embedding rates. en
dc.language.iso en_US en
dc.subject Information Hiding en
dc.subject Distortion Analysis en
dc.subject Fragile Watermarking en
dc.subject Steganography en
dc.subject JPEG images en
dc.subject Minimizing distortion en
dc.title Towards Lower Bounds on Distortion in Information Hiding en
dc.type Dissertation en
thesis.degree.name Doctor of Philosophy in Computer Science en
thesis.degree.level Doctoral en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


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