Lossless image data embedding in plain areas
Document Type
Conference Proceeding
Publication Date
4-20-2011
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. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Identifier
79954515425 (Scopus)
ISBN
[9780819484178]
Publication Title
Proceedings of SPIE the International Society for Optical Engineering
External Full Text Location
https://doi.org/10.1117/12.877009
ISSN
0277786X
Volume
7880
Recommended Citation
Fallahpour, Mehdi; Megias, David; and Shi, Yun Q., "Lossless image data embedding in plain areas" (2011). Faculty Publications. 11383.
https://digitalcommons.njit.edu/fac_pubs/11383
