Yicong Zhou focuses on Encryption, Artificial intelligence, Algorithm, Theoretical computer science and Pattern recognition. His Encryption study integrates concerns from other disciplines, such as Image and Scrambling. The study incorporates disciplines such as Machine learning, Noise measurement and Computer vision in addition to Artificial intelligence.
His Algorithm study combines topics from a wide range of disciplines, such as Chaotic, Entropy, Transfer entropy, Joint entropy and Robustness. Yicong Zhou has researched Theoretical computer science in several fields, including Information theory and measure theory, Rényi entropy and Permutation. His Pattern recognition research is multidisciplinary, incorporating perspectives in Salt-and-pepper noise, Median filter, Non-local means and Gaussian noise.
Yicong Zhou mainly focuses on Artificial intelligence, Pattern recognition, Algorithm, Computer vision and Encryption. His research brings together the fields of Machine learning and Artificial intelligence. His work in Pattern recognition tackles topics such as Quaternion which are related to areas like Channel.
His Algorithm research incorporates themes from Chaotic, Digital image and Discrete cosine transform. His Chaotic research integrates issues from Security analysis, CHAOS, Pseudorandom number generator and Sine. His research investigates the link between Encryption and topics such as Theoretical computer science that cross with problems in Permutation.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Algorithm, Robustness and Encryption. His work deals with themes such as Sparse matrix and Computer vision, which intersect with Artificial intelligence. His work carried out in the field of Pattern recognition brings together such families of science as Quaternion, Outlier and Tensor.
His work in the fields of Computation and JPEG overlaps with other areas such as Domain adaptation. The concepts of his Encryption study are interwoven with issues in Image, Scrambling and Permutation. The various areas that Yicong Zhou examines in his Permutation study include Cryptosystem, Theoretical computer science and Digital image.
His main research concerns Artificial intelligence, Pattern recognition, Chaotic, Algorithm and Encryption. His Artificial intelligence research includes themes of Iterative method, Sparse matrix and Tensor. His Pattern recognition study incorporates themes from Pixel, Quaternion, Kernel and Color image.
The Chaotic study combines topics in areas such as Collapse, Topology, Noise and Bifurcation. His studies in Algorithm integrate themes in fields like Manifold, Convolution and Graph embedding, Graph. His research integrates issues of Control system, Image and Scrambling in his study of Encryption.
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A new 1D chaotic system for image encryption
Yicong Zhou;Long Bao;C.L. Philip Chen.
Signal Processing (2014)
2D Sine Logistic modulation map for image encryption
Zhongyun Hua;Yicong Zhou;Chi-Man Pun;C.L. Philip Chen.
Information Sciences (2015)
Image encryption using 2D Logistic-adjusted-Sine map
Zhongyun Hua;Yicong Zhou.
Information Sciences (2016)
Local Shannon entropy measure with statistical tests for image randomness
Yue Wu;Yicong Zhou;George Saveriades;Sos Agaian.
Information Sciences (2013)
Genetic Learning Particle Swarm Optimization
Yue-Jiao Gong;Jing-Jing Li;Yicong Zhou;Yun Li.
IEEE Transactions on Systems, Man, and Cybernetics (2016)
Cosine-transform-based chaotic system for image encryption
Zhongyun Hua;Yicong Zhou;Hejiao Huang.
Information Sciences (2019)
Image encryption using a new parametric switching chaotic system
Yicong Zhou;Long Bao;C.L. Philip Chen.
Signal Processing (2013)
Cascade Chaotic System With Applications
Yicong Zhou;Zhongyun Hua;Chi-Man Pun;C. L. Philip Chen.
IEEE Transactions on Systems, Man, and Cybernetics (2015)
Medical image encryption using high-speed scrambling and pixel adaptive diffusion
Zhongyun Hua;Shuang Yi;Yicong Zhou.
Signal Processing (2018)
Nonlinear Unsharp Masking for Mammogram Enhancement
K. Panetta;Yicong Zhou;S. Agaian;Hongwei Jia.
international conference of the ieee engineering in medicine and biology society (2011)
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