Quantum Image Processing
2020. g. janv. · Springer Nature
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171
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Par šo e-grāmatu
This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.
Par autoru
Fei Yan is an Associate Professor and doctoral supervisor at the School of Computer Science and Technology at Changchun University of Science and Technology, China. He received his doctorate in Engineering and then worked as a postdoctoral fellow at the Department of Computational Intelligence and Systems Science at Tokyo Institute of Technology, Japan. His research interests include quantum image processing, information security, and affective computing.
Salvador E. Venegas-Andraca is a Professor of Computer Science and head of the Quantum Information Processing group at Tecnologico de Monterrey. A leading scientist in the field of quantum walks, he holds a DPhil in Physics from the University of Oxford, and was cofounder of the field quantum image processing. His research interests include quantum algorithms, quantum image processing as well as the algorithmic analysis of NP-hard/NP-complete problems.Novērtējiet šo e-grāmatu
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