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Towards Lower Bounds on Distortion in Information Hiding

Show simple item record Kim, Younhee
dc.creator Kim, Younhee 2008-09-11 2009-01-30T18:51:07Z NO_RESTRICTION en 2009-01-30T18:51:07Z 2009-01-30T18:51:07Z
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.
dc.language.iso en_US en
dc.subject Information Hiding en_US
dc.subject Distortion Analysis en_US
dc.subject Fragile Watermarking en_US
dc.subject Steganography en_US
dc.subject JPEG images en_US
dc.subject Minimizing distortion en_US
dc.title Towards Lower Bounds on Distortion in Information Hiding en
dc.type Dissertation en Doctor of Philosophy in Computer Science en Doctoral en Computer Science en George Mason University en

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