Journal ArticleDOI
Separable and error-free reversible data hiding in encrypted images
Dawen Xu,Rangding Wang +1 more
TLDR
A novel separable and error-free reversible data hiding scheme in encrypted images is proposed that may reversibly embed secret data into interpolation-error using a modified version of histogram shifting and difference expansion technique.About:
This article is published in Signal Processing.The article was published on 2016-06-01. It has received 102 citations till now. The article focuses on the topics: On-the-fly encryption & Encryption.read more
Citations
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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
An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images
Pauline Puteaux,William Puech +1 more
TL;DR: This paper proposes a new reversible method based on MSB (most significant bit) prediction with a very high capacity, which is better than current state of the art methods, both in terms of reconstructed image quality and embedding capacity.
Journal ArticleDOI
Separable reversible data hiding in encrypted images via adaptive embedding strategy with block selection
TL;DR: Since only a portion of blocks are modified during embedding, the directly-decrypted image quality is satisfactory, and more bits can be embedded into the blocks belonging to smooth set, hence, embedding rate is acceptable.
Journal ArticleDOI
Reversible Data Hiding in Encrypted Images Based on Multi-MSB Prediction and Huffman Coding
TL;DR: Wang et al. as mentioned in this paper proposed a high-capacity reversible data hiding in encrypted images (RDHEI) algorithm based on multi-MSB prediction and Huffman coding, which achieved higher embedding capacity while comparing with the state-of-the-art methods.
Journal ArticleDOI
Reversible data hiding in encrypted image with separable capability and high embedding capacity
TL;DR: Experimental results demonstrate that, the proposed high-capacity reversible data hiding scheme can generally achieve better performances, including higher embedding rate and better visual quality of the direct-decrypted image and the final recovered image, than some of the state-of-the-art schemes.
References
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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.
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Lossless generalized-LSB data embedding
TL;DR: In this paper, a generalization of the well-known least significant bit (LSB) modification is proposed as the data-embedding method, which introduces additional operating points on the capacity-distortion curve.
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An edge-guided image interpolation algorithm via directional filtering and data fusion
Lei Zhang,Xiaolin Wu +1 more
TL;DR: A new edge-guided nonlinear interpolation technique is proposed through directional filtering and data fusion that can preserve edge sharpness and reduce ringing artifacts in image interpolation algorithms.
Journal ArticleDOI
Reversible Watermarking Algorithm Using Sorting and Prediction
TL;DR: This paper presents a reversible or lossless watermarking algorithm for images without using a location map in most cases that employs prediction errors to embed data into an image.