Paper Info
Title
Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism
Abstract
This paper proposes a reversible data hiding method based on image interpolation and the detection of smooth and complex regions in the cover images. A binary image that represents the locations of reference pixels is constructed according the local image activity. In complex regions, more reference pixels are chosen and, thus, fewer pixels are used for embedding, which reduces the image degradation. On the other hand, in smooth regions, less reference pixels are chosen, which increases the embedding capacity without introducing significant distortion. Pixels are interpolated according to the constructed binary image, and the interpolation errors are then used to embed data through histogram shifting. The pixel values in the cover image are modified one grayscale unit at most to ensure that a high quality stego image can be produced. The experimental results show that the proposed method provides better image quality and embedding capacity compared with prior works.
Year
DOI
Venue
2011
10.1016/j.jvcir.2010.11.004
J. Visual Communication and Image Representation
Keywords
Field
DocType
image interpolation,high quality stego image,complex region,reference pixel distribution mechanism,image degradation,embedding capacity,local image activity,high quality image,reversible data,cover image,reference pixel,binary image,better image quality,image quality,steganography
Computer vision,Feature detection (computer vision),Pattern recognition,Non-local means,Binary image,Image quality,Stairstep interpolation,Artificial intelligence,Pixel,Image histogram,Mathematics,Pixel connectivity
Journal
Volume
Issue
ISSN
22
2
1047-3203
Citations 
PageRank 
References 
48
1.97
22
Authors
2
Name
Order
Citations
PageRank
Wien Hong161830.63
Tungshou Chen2108289.79