Journal ArticleDOI
Separable Reversible Data Hiding in Encrypted Image
TLDR
This work proposes a novel scheme for separable reversible data hiding in encrypted images by exploiting the spatial correlation in natural image when the amount of additional data is not too large.Abstract:
This work proposes a novel scheme for separable reversible data hiding in encrypted images. In the first phase, a content owner encrypts the original uncompressed image using an encryption key. Then, a data-hider may compress the least significant bits of the encrypted image using a data-hiding key to create a sparse space to accommodate some additional data. With an encrypted image containing additional data, if a receiver has the data-hiding key, he can extract the additional data though he does not know the image content. If the receiver has the encryption key, he can decrypt the received data to obtain an image similar to the original one, but cannot extract the additional data. If the receiver has both the data-hiding key and the encryption key, he can extract the additional data and recover the original content without any error by exploiting the spatial correlation in natural image when the amount of additional data is not too large.read more
Citations
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Journal ArticleDOI
Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption
TL;DR: This paper proposes a novel method by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image.
Journal ArticleDOI
An Improved Reversible Data Hiding in Encrypted Images Using Side Match
TL;DR: This letter adopts a better scheme for measuring the smoothness of blocks, and uses the side-match scheme to further decrease the error rate of extracted-bits in an improved version of Zhang's reversible data hiding method in encrypted images.
Journal ArticleDOI
Reversible Data Hiding: Advances in the Past Two Decades
TL;DR: In this paper, the various RDH algorithms and researches have been classified into the following six categories: 1) RDH into image spatial domain; 2) RD h into image compressed domain (e.g., JPEG); 3) RDh suitable for image semi-fragile authentication; 4)RDH with image contrast enhancement; 5) RD H into encrypted images, which is expected to have wide application in the cloud computation; and 6) RDD into video and into audio.
Journal ArticleDOI
Secure Medical Data Transmission Model for IoT-Based Healthcare Systems
Mohamed Elhoseny,Gustavo Ramirez-Gonzalez,Osama Abu-Elnasr,Shihab A. Shawkat,N. Arunkumar,Ahmed Farouk +5 more
TL;DR: The proposed hybrid security model for securing the diagnostic text data in medical images proved its ability to hide the confidential patient’s data into a transmitted cover image with high imperceptibility, capacity, and minimal deterioration in the received stego-image.
Journal ArticleDOI
Reversibility improved data hiding in encrypted images
Weiming Zhang,Kede Ma,Nenghai Yu +2 more
TL;DR: A novel reversible data hiding technique in encrypted images where some pixels are estimated before encryption so that additional data can be embedded in the estimating errors and the data extraction and image recovery are free of errors.
References
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Journal ArticleDOI
Secure spread spectrum watermarking for multimedia
TL;DR: It is argued that insertion of a watermark under this regime makes the watermark robust to signal processing operations and common geometric transformations provided that the original image is available and that it can be successfully registered against the transformed watermarked image.
Journal ArticleDOI
A universal image quality index
Zhou Wang,Alan C. Bovik +1 more
TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Journal ArticleDOI
Reversible data embedding using a difference expansion
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.
Journal ArticleDOI
Reversible data hiding
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.
Proceedings ArticleDOI
Reversible data hiding
TL;DR: A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.