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Dual-complexities based on straightforward neighborhood pixel prediction in pixel-value-ordering framework for reversible data hiding 期刊论文
Displays, 2024, 卷号: 84
作者:  Li, Zijing;  Liao, Xuewen;  Fan, Guojun;  Zhang, Xiaoran;  Pan, Zhibin
Adobe PDF(3708Kb)  |  收藏  |  浏览/下载：24/0  |  提交时间：2024/09/24
Complexity metric  Dual-complexities  Neighborhood pixel prediction (NPP)  Pixel-value-ordering (PVO)  Reversible data hiding (RDH)  
Global pixel-value-ordering framework with dynamic sequence partition for reversible data hiding 期刊论文
Knowledge-Based Systems, 2024, 卷号: 297
作者:  Fan, Guojun;  Wang, Ping;  Li, Zijing;  Zhou, Quan;  Pan, Zhibin
Adobe PDF(5542Kb)  |  收藏  |  浏览/下载：39/0  |  提交时间：2024/09/13
Reversible data hiding  Pixel-value-ordering  Global framework  Dynamic sequence partition  Pairwise embedding  
Scale and pattern adaptive local binary pattern for texture classification[Formula presented] 期刊论文
Expert Systems with Applications, 2024, 卷号: 240
作者:  Hu, Shiqi;  Li, Jie;  Fan, Hongcheng;  Lan, Shaokun;  Pan, Zhibin
Adobe PDF(4581Kb)  |  收藏  |  浏览/下载：84/0  |  提交时间：2024/02/07
Local binary pattern (LBP)  Texture classification  Low dimension  Scale and pattern adaptive selection  Kirsch operator  
A reversible data hiding method based on bitmap prediction for AMBTC compressed hyperspectral images 期刊论文
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2024, 卷号: 81
作者:  Zhang, Xiaoran;  Pan, Zhibin;  Zhou, Quan;  Fan, Guojun;  Dong, Jing
Adobe PDF(5726Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2024/03/26
Absolute moment block truncation coding  (AMBTC)  Hyperspectral images  Reversible data hiding (RDH)  Prediction of bitmap  Adaptive embedding order  Dynamical embedding scheme  
A novel texture image pyramid based vote strategy in local binary pattern for texture classification 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2024
作者:  Hu, Shiqi;  Pan, Zhibin;  Ren, Xincheng
Adobe PDF(3681Kb)  |  收藏  |  浏览/下载：82/0  |  提交时间：2024/03/15
Local binary pattern (LBP)  Multi-scale texture features  Texture image pyramid  Texture classification  
Temporal transformer-spatial graph convolutional network: an intelligent classification model for anti N-methyl-D-aspartate receptor encephalitis based on electroencephalogram signal 期刊论文
FRONTIERS MEDIA SA, 2023, 卷号: 17
作者:  Dang, Ruochen;  Yu, Tao;  Hu, Bingliang;  Wang, Yuqi;  Pan, Zhibin;  Luo, Rong;  Wang, Quan
Adobe PDF(1349Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2023/10/10
anti NMDA receptor encephalitis  viral encephalitis  EEG  transformer  graph network  classification  
Fourier Ptychography Reconstruction Based on Reweighted Amplitude Flow With Regularization by Denoising and Deep Decoder 期刊论文
IEEE PHOTONICS JOURNAL, 2023, 卷号: 15, 期号: 1
作者:  Li, Baopeng;  Ma, Caiwen;  Ersoy, Okan K.;  Pan, Zhibin;  Wen, Wansha;  Sun, Zhonghan;  Gao, Wei
Adobe PDF(9672Kb)  |  收藏  |  浏览/下载：124/2  |  提交时间：2023/02/13
Coherent imaging  imaging systems  technologies for computing  
Active Disturbance Rejection Control for Speed Control of PMSM Based on Auxiliary Model and Supervisory RBF 期刊论文
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 21
作者:  Gao, Peng;  Su, Xiuqin;  Pan, Zhibin;  Xiao, Maosen;  Zhang, Wenbo;  Liu, Ruoyu
Adobe PDF(3773Kb)  |  收藏  |  浏览/下载：173/2  |  提交时间：2022/11/30
active disturbance rejection control  permanent magnet synchronous motor  extended state observer  auxiliary model  radial basis function  friction compensation  
Double layer local contrast measure and multi-directional gradient comparison for small infrared target detection 期刊论文
Optik, 2022, 卷号: 258
作者:  Ren, Long;  Pan, Zhibin;  Ni, Yue
Adobe PDF(8746Kb)  |  收藏  |  浏览/下载：192/2  |  提交时间：2022/04/02
Infrared (IR) small target detection  Double layer local contrast  Multi-directional gradient  
Infrared and visible image fusion based on variational auto-encoder and infrared feature compensation 期刊论文
Infrared Physics and Technology, 2021, 卷号: 117
作者:  Ren, Long;  Pan, Zhibin;  Cao, Jianzhong;  Liao, Jiawen
Adobe PDF(16921Kb)  |  收藏  |  浏览/下载：144/2  |  提交时间：2021/09/03
Image fusion  Variational auto-encoder  Feature compensation  Convolutional neural network