الفهرس 
Literatures Review of Data Hiding in Digital VideoOnly 14 pages are availabe for public view
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Abstract
The fast growth in the demand and consumption of the digital multimedia
content in the previous period has led to some effective concerns over issues
such as content security, digital rights management, and authenticity. Hiding
Data is an important way of recognizing copyright protection for digital
multimedia. Digital video/images became very common choice for hiding data
and the selection of suitable pixels in the video frames, which are used to store
the secret data, is very important for an effective and successful embedding
process. If pixels are not selected sensibly, undesired spatial and temporal
perception problems occur in the stego-video.
Toward this direction, This thesis presents two efficient data hiding
algorithms in Video Sequences.
The first proposed algorithm is based on hiding data in video sequences
using steganography in the spatial domain. The proposed algorithm will
concentrate on the use of digital video/images as cover to hide data. The
proposed steganography algorithm makes use of color histograms for data
embedding into video sequences directly. This algorithm is characterized by the
ability of hiding bigger size of data and the ability of extracting the written text
without errors, besides it gives a high level of authentication to guarantee
integrity of the video/ images before being extracted.
Both the capacity of data hiding and the video quality of generated video
are simultaneously improved. Experimental results show that the proposed data
hiding algorithm in video sequences not only can improve the payload capacity
but also can maintain good video quality.
In the second proposed algorithm, a reversible data hiding algorithm
in video sequences based on discrete wavelet transform (DWT) and histogram
shifting is proposed. The proposed algorithm is a hybrid data hiding algorithm
based on discrete wavelet transform (DWT) and histogram shifting for data
IV
hiding. In this algorithm, pre-processing the video sequence is employed and
frame conversion is done. The secret message is not embedded directly on the
wavelet coefficients but by shifting parts of histogram of high frequency
subbands to make space for data hiding.
Finally, the secret message is extracted from the stego-video.
Experimental results show that the second proposed algorithm outperforms
efficiently in terms of high payload capacity (at the same PSNR) and maintains
high stego-video quality after hiding data (higher PSNR at the same payload) ,
the second proposed algorithm restores the original video as well as extracts
hidden data from stego-video.