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Proceedings Paper

Lossless image data embedding in plain areas
Author(s): Mehdi Fallahpour; David Megias; Yun Q. Shi
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Paper Abstract

This letter presents a lossless data hiding scheme for digital images which uses an edge detector to locate plain areas for embedding. The proposed method takes advantage of the well-known gradient adjacent prediction utilized in image coding. In the suggested scheme, prediction errors and edge values are first computed and then, excluding the edge pixels, prediction error values are slightly modified through shifting the prediction errors to embed data. The aim of proposed scheme is to decrease the amount of modified pixels to improve transparency by keeping edge pixel values of the image. The experimental results have demonstrated that the proposed method is capable of hiding more secret data than the known techniques at the same PSNR, thus proving that using edge detector to locate plain areas for lossless data embedding can enhance the performance in terms of data embedding rate versus the PSNR of marked images with respect to original image.

Paper Details

Date Published: 10 February 2011
PDF: 8 pages
Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 78800H (10 February 2011); doi: 10.1117/12.877009
Show Author Affiliations
Mehdi Fallahpour, Univ. Oberta de Catalunya (Spain)
David Megias, Univ. Oberta de Catalunya (Spain)
Yun Q. Shi, New Jersey Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7880:
Media Watermarking, Security, and Forensics III
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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