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Integrating Coordinate Transformation and Random Sampling Into High-Capacity Reversible Data Hiding in Encrypted Polygonal Models

IEEE Transactions on Dependable and Secure Computing, 2023
Reversible data hiding in encrypted media involves using algorithms to perform data encryption to improve the privacy of the original media and hide data for covert communication or access control.
Yuan-Yu Tsai, Hong-Lin Liu
semanticscholar   +1 more source

High-Performance Reversible Data Hiding

Fundamenta Informaticae, 2008
This paper proposes a high-performance reversible data hiding algorithm based on the block difference histogram of a cover image. If a message is to be embedded into an image, the difference of the block at the maximum point is increased by 1 or left unchanged if the message bit is "1" or "0", respectively.
Lin, Ching-Chiuan   +2 more
openaire   +2 more sources

Reversible Data Hiding in Encrypted Images Based on Binary Symmetric Channel Model and Polar Code

IEEE Transactions on Dependable and Secure Computing, 2023
For vacating-room-after-encryption reversible data hiding in encrypted images (VRAE RDHEI), an essential problem is how to address potential errors in data extraction and image recovery.
Kaimeng Chen   +3 more
semanticscholar   +1 more source

Enabling Large-Capacity Reversible Data Hiding Over Encrypted JPEG Bitstreams

IEEE transactions on circuits and systems for video technology (Print), 2023
Cloud computing offers advantages in handling the exponential growth of images but also entails privacy concerns on outsourced private images. Reversible data hiding (RDH) over encrypted images has emerged as an effective technique for securely storing ...
Zhongyun Hua   +4 more
semanticscholar   +1 more source

A Universal Reversible Data Hiding Method in Encrypted Image Based on MSB Prediction and Error Embedding

IEEE Transactions on Cloud Computing, 2023
Image encryption is used for privacy protection in cloud computing. Nowadays, reversible data hiding in encrypted image (RDHEI) has achieved great success with the demand of embedding additional information into encrypted image.
Guangyong Gao   +3 more
semanticscholar   +1 more source

Reversible Data Hiding Under Inconsistent Distortion Metrics

IEEE Transactions on Image Processing, 2018
Recursive code construction (RCC), based on the optimal transition probability matrix (OTPM), approaching the rate-distortion bound of reversible data hiding (RDH) has been proposed. Using the existing methods, OTPM can be effectively estimated only for a consistent distortion metric, i.e., if the host elements at different positions share the same ...
Dongdong Hou   +3 more
openaire   +3 more sources

Reversible image processing via reversible data hiding

2016 IEEE International Conference on Digital Signal Processing (DSP), 2016
Image processing is a very popular and widely used technique. In this paper, we propose a framework for realizing reversible image processing, which enables that the users can return the processed image to the original copy without loss. In the proposed method, the original image is firstly processed to get the desired target image by a classic image ...
Dongdong Hou   +5 more
openaire   +1 more source

Accurate Gradient Selective Based Histogram Bin Shifting for Reversible Data Hiding

2023 4th International Conference for Emerging Technology (INCET), 2023
A good prediction Error Expansion (PEE) based reversible data hiding method demands an effective pixel prediction strategy. There are numerous pixel prediction techniques in the literature. The current pixel can be predicted using gradients.
Ravi Uyyala
semanticscholar   +1 more source

Prediction-based reversible data hiding

Information Sciences, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tseng, Hsien-Wen, Hsieh, Chi-Pin
openaire   +2 more sources

Double-threshold reversible data hiding

Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010
This proposed scheme reversibly embeds data into image prediction-errors by using histogram-pair method with double thresholds (embedding threshold and fluctuation threshold). The embedding threshold is used to select only those prediction-errors, whose magnitude does not exceed this threshold, for possible reversible data hiding.
Guorong Xuan   +4 more
openaire   +1 more source

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