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Chuan Zhang

Researcher at Beijing Institute of Technology

Publications -  88
Citations -  1736

Chuan Zhang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 18, co-authored 57 publications receiving 962 citations. Previous affiliations of Chuan Zhang include Qufu Normal University & Dalian University of Technology.

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Ternary radial harmonic Fourier moments based robust stereo image zero-watermarking algorithm

TL;DR: Experimental results indicate that the proposed stereo image zero- watermarking algorithm is strongly robust to various asymmetric and symmetric attacks and has superiority compared with other zero-watermarking algorithms.
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Color medical image lossless watermarking using chaotic system and accurate quaternion polar harmonic transforms

TL;DR: Experimental results show that the proposed scheme for color medical image copyright protection based on a chaotic system and quaternion polar harmonic transforms (QPHTs) is robust to geometric attacks and common attacks and that it has better performance than similar lossless watermarking schemes.
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PPDP: An efficient and privacy-preserving disease prediction scheme in cloud-based e-Healthcare system

TL;DR: In PPDP, patients’ historical medical data are encrypted and outsourced to the cloud server, which can be further utilized to train prediction models by using Single-Layer Perceptron learning algorithm in a privacy-preserving way, and computation costs are several magnitudes lower than existing disease prediction schemes.
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Scalable and Privacy-Preserving Data Sharing Based on Blockchain

TL;DR: A trusted data sharing scheme using blockchain to prevent the shared data from being tampered, and the Paillier cryptosystem to realize the confidentiality of the sharing data is proposed.
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Quaternion polar harmonic Fourier moments for color images

TL;DR: Experimental results show quaternion polar harmonic Fourier moments can achieve an ideal performance in image reconstruction and invariant object recognition in noise-free and noisy conditions.