1,372 research outputs found
Prediction-error of Prediction Error (PPE)-based Reversible Data Hiding
This paper presents a novel reversible data hiding (RDH) algorithm for
gray-scaled images, in which the prediction-error of prediction error (PPE) of
a pixel is used to carry the secret data. In the proposed method, the pixels to
be embedded are firstly predicted with their neighboring pixels to obtain the
corresponding prediction errors (PEs). Then, by exploiting the PEs of the
neighboring pixels, the prediction of the PEs of the pixels can be determined.
And, a sorting technique based on the local complexity of a pixel is used to
collect the PPEs to generate an ordered PPE sequence so that, smaller PPEs will
be processed first for data embedding. By reversibly shifting the PPE histogram
(PPEH) with optimized parameters, the pixels corresponding to the altered PPEH
bins can be finally modified to carry the secret data. Experimental results
have implied that the proposed method can benefit from the prediction procedure
of the PEs, sorting technique as well as parameters selection, and therefore
outperform some state-of-the-art works in terms of payload-distortion
performance when applied to different images.Comment: There has no technical difference to previous versions, but rather
some minor word corrections. A 2-page summary of this paper was accepted by
ACM IH&MMSec'16 "Ongoing work session". My homepage: hzwu.github.i
Reversible Data Hiding in Encrypted Images Using MSBs Integration and Histogram Modification
This paper presents a reversible data hiding in encrypted image that employs
based notions of the RDH in plain-image schemes including histogram
modification and prediction-error computation. In the proposed method, original
image may be encrypted by desire encryption algorithm. Most significant bit
(MSB) of encrypted pixels are integrated to vacate room for embedding data
bits. Integrated ones will be more resistant against failure of reconstruction
if they are modified for embedding data bits. At the recipient, we employ
chess-board predictor for lossless reconstruction of the original image by the
aim of prediction-error analysis. Comparing to existent RDHEI algorithms, not
only we propose a separable method to extract data bits, but also content-owner
may attain a perfect reconstruction of the original image without having data
hider key. Experimental results confirm that the proposed algorithm outperforms
state of the art ones
An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images
International audienceReversible data hiding in encrypted images (RDHEI) is an effective technique to embed data in the encrypted domain. An original image is encrypted with a secret key and during or after its transmission, it is possible to embed additional information in the encrypted image, without knowing the encryp-tion key or the original content of the image. During the decoding process, the secret message can be extracted and the original image can be reconstructed. In the last few years, RDHEI has started to draw research interest. Indeed, with the development of cloud computing, data privacy has become a real issue. However, none of the existing methods allow us to hide a large amount of information in a reversible manner. In this paper, we propose a new reversible method based on MSB (most significant bit) prediction with a very high capacity. We present two approaches, these are: high capacity reversible data hiding approach with correction of prediction errors and high capacity reversible data hiding approach with embedded prediction errors. With this method, regardless of the approach used, our results are better than those obtained with current state of the art methods, both in terms of reconstructed image quality and embedding capacity
- …