M
Mou Xuanqin
Researcher at Xi'an Jiaotong University
Publications - 11
Citations - 373
Mou Xuanqin is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Cryptography & Chaotic. The author has an hindex of 4, co-authored 11 publications receiving 362 citations.
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Book ChapterDOI
Pseudo-random Bit Generator Based on Couple Chaotic Systems and Its Applications in Stream-Cipher Cryptography
TL;DR: In this paper, a pseudo-random bit generator based on a couple of chaotic systems called CCS-PRBG is presented, and detailed theoretical analyses show that it has perfect cryptographic properties, and can be used to construct stream ciphers with higher security than other chaotic systems.
Book ChapterDOI
Statistical Properties of Digital Piecewise Linear Chaotic Maps and Their Roles in Cryptography and Pseudo-Random Coding
TL;DR: The analytic methods proposed in this paper can be essentially extended to a large number of PLCM-s, and will be valuable for the research on the performance of such maps in chaotic cryptography and pseudo-random coding.
Journal Article
Pseudo-random bit generator based on couple chaotic systems and its applications in stream-cipher cryptography
TL;DR: A novel pseudo-random bit generator based on a couple of chaotic systems called CCS-PRBG is presented, and detailed theoretical analyses show that it has perfect cryptographic properties, and can be used to construct stream cipher with higher security than other chaotic ciphers.
Journal Article
A Technique For Extending Dynamic Range of Medical X-Ray Image
TL;DR: In this article, a technique for extending the dynamic range of medical X-ray image that uses multi-scale image decomposition is proposed to extend the dynamic ranges of digital radiology equipment with either image intensifier or charge coupled device.
Journal Article
Nonlinear Multi-Scale Contrast Enhancement for X-Ray Chest Radiography
TL;DR: In this paper, an algorithm for multi-scale nonlinear X-ray chest radiography contrast enhancement based on edge (MSCE) is presented to overcome the drawback of introducing visible artifacts in conventional methods.