Hear from the Author

How is Quantum Computing for Image Processing Used?

By IGI Global on Aug 10, 2023
HaiSheng Le, the author of the book, Examining Quantum Algorithms for Quantum Image Processing (ISBN: 9781799837992) received the 9th Wu Wenjun Artificial Intelligence Natural Science Award in 2019. He shares insights into quantum image processing in this Q&A.
9781799837992
Examining Quantum Algorithms for Quantum Image Processing
Prof. HaiSheng Li
© 2021 | 336 pgs. | ISBN13: 9781799837992
  • Covers Topics such as Geometric Transformation, Quantum Compression Ratio, & More
  • Ideal for Researchers, Scientists, Developers, & More
  • Edited by the Expert with More Than a Decade of Experience in Quantum Image Processing
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Editor Question & Answer
What was the driving force or motivation for starting this book project?
Prof. Li: This book aims to give valuable resources and useful methods for graduate students and researchers interested in quantum computation, quantum image processing, quantum algorithm, and emerging interdisciplinary field.
What specific problems does the book address?
Prof. Li: This book addresses some issues in quantum image storage, retrieval, and efficient processing.
How does the book provide a solution to these problems?
Prof. Li: This book provides quantum Fourier transform, quantum wavelet transform, and quantum wavelet packet transform as tool algorithms to realize quantum image efficient processing. In addition, this book describes some typical examples of quantum image representations of three categories, which solve how to store an image in a quantum system, and to retrieve the image from the quantum system.
What do you think about publishing this book change about this field of study?
Prof. Li: This book devotes to the development of novel quantum algorithms for storing, processing, and retrieving visual information.
How unique is this book within its topic coverage?
Prof. Li: This book gives of main quantum algorithms, which are performed in MATLAB R2017a. These simulation codes can help readers understand the proposed algorithms in this book and provide references for the simulation of new quantum algorithms.

About the Editor
Prof. HaiSheng Li received an M.S. in Computer Science from Chongqing University and a Ph.D. in Computer Science from University of Electronic Science and Technology of China. He worked as a visiting scholar at University of Technology, Sydney, Australia, and Tsinghua University, China. At present, the author is a Professor at Guangxi Normal University. His research interests include quantum information, quantum computation, and classical image processing.

About IGI Global
Founded in 1988 and headquartered in Hershey, Pennsylvania, USA with a subsidiary office (IGI Science and Technology, Ltd.) operating out of Beijing, China, IGI Global is a leading medium-sized independent international academic publisher of scholarly reference sources. They are committed to facilitating the discovery of pioneering scientific research that enhances and expands the body of knowledge available to the research community through traditional and open access publishing workflows. Working in close collaboration with more than 200,000+ expert researchers and professionals from leading institutions, IGI Global publishes quality peer-reviewed content in three major academic subject areas:

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