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Early reversible data hiding algorithms mainly focused on lossless compression.
The simulation results have been discussed and compared with new literature using data hiding algorithms for colour images.
2, we describe fundamental concepts of reversible data hiding algorithms, including the histogram-based and difference expansion (DE -based schemes.
Fridrich et al. proposed reversible data hiding algorithms using compression of bitplane [2] and vector state [3] for better performance.
Compared with the reversible data hiding algorithms designed for encryption with a cipher stream, the proposed ones are more applicable in cloud computing without degrading the security level.
We implemented the reversible data hiding algorithms of Dragoi and Dinu [9], Sachnev et al. [8], Lee at el. [20], and the proposed method using MATLAB.
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The data extraction algorithm is presented in Algorithm 4. Algorithm 3: Data hiding algorithm.
Their work considers the residual blocks produced by the data hiding algorithm.
Data hiding algorithm requires to find syndromes SI and SII (Equation 6) for each block n1 and n2, respectively.
We focus on reversible data hiding algorithm in this paper, which belongs to a branch in watermarking researches and applications.
In the fourth experiment, we ran our data hiding algorithm under varying design parameters like QP and.
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