Lossless image data embedding in plain areas

Mehdi Fallahpour; David Megias; Yun Q. Shi

doi:10.1117/12.877009

10 February 2011 Lossless image data embedding in plain areas

Mehdi Fallahpour, David Megias, Yun Q. Shi

Proceedings Volume 7880, Media Watermarking, Security, and Forensics III; 78800H (2011) https://doi.org/10.1117/12.877009
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Mehdi Fallahpour, David Megias, and Yun Q. Shi "Lossless image data embedding in plain areas", Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 78800H (10 February 2011); https://doi.org/10.1117/12.877009

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