Paper Info
Title
Lossless image data embedding in plain areas
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.
Year
DOI
Venue
2011
10.1117/12.877009
Proceedings of SPIE
Keywords
Field
DocType
Watermarking,image data hiding,prediction
Histogram,Computer vision,Digital watermarking,Embedding,Information hiding,Digital image,Pixel,Artificial intelligence,Image compression,Lossless compression,Physics
Conference
Volume
ISSN
Citations 
7880
0277-786X
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Mehdi Fallahpour120312.12
David Megías220524.13
Yun Q. Shi32918199.53