Examining Quantum Algorithms for Quantum Image Processing

Examining Quantum Algorithms for Quantum Image Processing

HaiSheng Li (Guangxi Normal University, China)
Projected Release Date: September, 2020|Copyright: © 2021 |Pages: 215
ISBN13: 9781799837992|ISBN10: 1799837998|EISBN13: 9781799838005|DOI: 10.4018/978-1-7998-3799-2


An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for professionals and students in numerous disciplines. Its specific ability to improve upon traditional algorithms for image processing is seizing the attention of researchers in this field, as there remains a lack of exploration into this precise area.

Examining Quantum Algorithms for Quantum Image Processing is an essential reference that provides research on quantum Fourier transform, quantum wavelet transform, and quantum wavelet packet transform as tool algorithms in image processing and quantum computing. It provides a comprehensive look into quantum image algorithms to establish frameworks of quantum image processing. While highlighting topics including geometric transformation, quantum compression ratio, and storage circuits, this book is ideally designed for researchers, scientists, developers, academicians, programmers, practitioners, engineers, and upper graduate students.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Geometric Transformation
  • Grover Search Algorithm
  • Image Compression Algorithms
  • Multidimensional Images
  • Orthogonal Rotation
  • Quantum Algorithm
  • Quantum Compression Ratio (QCR)
  • Quantum Fourier Transform
  • Quantum Image Representation
  • Quantum Mechanics
  • Retrieval Methods
  • Signal Processing
  • Storage Circuits
  • Wavelet Packet Transforms

Table of Contents and List of Contributors

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