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Dynamics and Formation of Antiferromagnetic Textures in MnBi₂Te₄ Single Crystal. [PDF]

Materials (Basel)
Kim MG, Boney S, Burgard L, Rutowski L, Mazzoli C.   +4 more
europepmc   +1 more source

Deep Learning-Based Automated Anatomical Landmark Detection and Saw Blade Size Prediction for Canine Tibial Plateau Leveling Osteotomy. [PDF]

Animals (Basel)
Kim TH, Lee JY, Kim HY.
europepmc   +1 more source

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Hybrid prediction-based pixel-value-ordering method for reversible data hiding

Journal of Visual Communication and Image Representation, 2021
Abstract Pixel-value-ordering (PVO) is an effective and promising method of reversible data hiding (RDH) and has received much attention in recent years. To improve performance, a pixel-based PVO (PPVO) method was recently introduced to predict the pixels to be embedded in a pixel-wise manner instead of the block-wise manner used by PVO. However, for
Guopu Zhu, Xiaolong Li
exaly   +2 more sources

An Insight into Pixel Value Ordering Prediction Based Prediction-error Expansion

IEEE Transactions on Information Forensics and Security, 2020
As the core of prediction-error expansion technique, prediction method has a fundamental impact on performance of reversible data hiding. Pixel value ordering (PVO) prediction has been extensively investigated for its high accuracy. However, the correlation of pixels within block has not been fully exploited yet.
Zhanchuan Cai, Wenguang He
exaly   +2 more sources

Pixel-based pixel value ordering predictor for high-fidelity reversible data hiding

Signal Processing, 2015
A pixel-value-ordering (PVO) predictor has been used in reversible data hiding methods to produce high-fidelity marked images when the payload size is moderate. The original PVO generates predictions in a block-by-block manner where only two pixels can be predicted in each block. In this paper, a novel pixel-based PVO (PPVO) is proposed with which each
Hyoung Joong Kim, Xiaochao Qu
exaly   +2 more sources

Local feature-based mutual complexity for pixel-value-ordering reversible data hiding

Signal Processing, 2023
In reversible data hiding, pixel-value-ordering (PVO) has become a widely used framework benefiting from its high-fidelity under low-capacity requirements. As an essential element in PVO-based methods, complexity could effectively avoid embedded images from unnecessary embedding distortions.
Zhibin Pan, Xinyi Gao, Guojun Fan
exaly   +3 more sources

Reversible data hiding using invariant pixel-value-ordering and prediction-error expansion

Signal Processing: Image Communication, 2014
Recently, Li et al. proposed a reversible data hiding (RDH) method based on pixel-value-ordering (PVO) and prediction-error expansion. In their method, the maximum and the minimum of a pixel block are predicted and modified to embed data, and the reversibility is guaranteed by keeping PVO of each block invariant after embedding.
Bo Ou, Rongrong Ni
exaly   +2 more sources

Dynamic improved pixel value ordering reversible data hiding

Information Sciences, 2019
Abstract The existing reversible data hiding (RDH) methods based on improved pixel value ordering (IPVO) use only a small portion of the pixels (e.g., at most six pixels) in a block for embedding data. Our proposed method is a dynamic IPVO RDH, which can flexibly modify the number of pixels in a block by classifying the local complexity into multiple
Shaowei Weng, Yunqing Shi 0001, Wien Hong, Ye Yao 0003   +3 more
openaire   +1 more source