Journal Article10.1007/S11042-019-08255-Z
A reversible data hiding algorithm based on bidirectional difference expansion
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TL;DR: Experimental results show, the EC of the cover image, the quality of the stego image and the security of the secret data are improved obviously.
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Abstract: After the extraction of hidden data, reversible data hiding (RDH) algorithms are able to completely recover the original image without any error. For the past few years, a number of RDH algorithms based on difference expansion (DE) have been developed rapidly. However, their embedding capacity (EC) and the quality of the stego images are relatively low. In this paper, a reversible data hiding algorithm based on bidirectional difference expansion was proposed. Firstly, it scans the cover image in a Z-shaped way to transform the cover image into a 1D array. Secondly, the difference between two adjacent pixels was expanded towards two directions to embed one bit into the left pixel. Thirdly, the array was transformed into a 2D matrix to obtain the stego image. After receiving the stego image, the extraction process is performed in the following three steps. Firstly, the stego image was first transformed into a 1D array in the Z-shaped way. Secondly, the difference between two adjacent pixels was compressed towards two directions to extract the embedded bits and to restore the cover 1D array. Thirdly, the cover 1D array was transformed into a 2D matrix. Besides, to improve the quality of the stego image, the range of the mean of the two embedding pixels was used to solve the issue of overflow/underflow. Experimental results show, the EC of the cover image, the quality of the stego image and the security of the secret data are improved obviously.
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Citations
Lossless Steganography on Orthogonal Vector for 3D H.264 with Limited Distortion Diffusion
Juan Zhao,Zhitang Li +1 more
- 20 Feb 2021
TL;DR: A lossless algorithm based on orthogonal vectors with limited distortion diffusion for 3D H.264 video is proposed in this paper, and experimental results indicate that the method is effective by enhancing peak signal-to-noise ratio and reducing the Kullback-Leibler divergence.
An Efficient Reversible Data Hiding Based on Prediction Error Expansion
Stefano Velotti
- 01 Jan 2023
TL;DR: In this paper , the authors proposed a checkboard pattern based reversible data hiding (RDH) method, which divides the image into two parts using a check board pattern and uses the pixels of one part for prediction and vice versa.
Improved Median-Filtered Data Embedding Method for Image Enhancement
Koi Yee Ng,Simying Ong,KokSheik Wong +2 more
- 22 Nov 2022
TL;DR: In this article , the authors proposed an improvement for a data embedding method to embed the data while performing image enhancements via the concept of median filter, where the pixels within a predetermined window size are gathered and sorted to obtain the partitions of interest for data representation.
Improved Median-Filtered Data Embedding Method for Image Enhancement
22 Nov 2022
TL;DR: In this paper , the authors proposed an improvement for a data embedding method to embed the data while performing image enhancements via the concept of median filter, where the pixels within a predetermined window size are gathered and sorted to obtain the partitions of interest for data representation.
Efficient reversible data hiding scheme based on prediction-error expansion and optimal parameters dynamic selection
TL;DR: An RDH scheme with a high embedding capacity (EC) based on prediction-error expansion and a higher EC and better performance than some other state-of-the-art methods is proposed.
References
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TL;DR: The redundancy in digital images is explored to achieve very high embedding capacity, and keep the distortion low, in a novel reversible data-embedding method for digital images.
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TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
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Reversible image hiding scheme using predictive coding and histogram shifting
TL;DR: The similarity of neighboring pixels in the images was explored by using the prediction technique and the residual histogram of the predicted errors of the host image was used to hide the secret data in the proposed scheme, and a higher hiding capacity was obtained and a good quality stego-image was preserved.
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Circular interpretation of bijective transformations in lossless watermarking for media asset management
TL;DR: Circular interpretation of bijective transformations is proposed to implement a method that fulfills all quality and functionality requirements of lossless watermarking.
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General Framework to Histogram-Shifting-Based Reversible Data Hiding
TL;DR: This paper revisits the HS technique and presents a general framework to construct HS-based RDH, and shows that several RDH algorithms reported in the literature are special cases of this general construction.
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