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Computer Holography : Acceleration Algorithms and Hardware Implementations - Tomoyoshi Shimobaba

Computer Holography

Acceleration Algorithms and Hardware Implementations

By: Tomoyoshi Shimobaba, Tomoyoshi Ito

Hardcover | 29 January 2019 | Edition Number 1

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This book describes algorithms and hardware implementations of computer holography, especially in terms of fast calculation. It summarizes the basics of holography and computer holography and describes how conventional diffraction calculations play a central role. Numerical implementations by actual codes will also be discussed. This book will explain new fast diffraction calculations, such as scaled scalar diffraction.

Computer Holography will also explain acceleration algorithms for computer-generated hologram (CGH) generation and digital holography with 3D objects composed of point clouds, using look-up table- (LUT) based algorithms, and a wave front recording plane. 3D objects composed of polygons using tilted plane diffraction, expressed by multi-view images and RGB-D images, will be explained in this book. Digital holography, including inline, off-axis, Gabor digital holography, and phase shift digital holography, will also be explored.

This book introduces applications of computer holography, including phase retrieval algorithm, holographic memory, holographic projection, and deep learning in computer holography, while explaining hardware implementations for computer holography. Recently, several parallel processors have been released (for example, multi-core CPU, GPU, Xeon Phi, and FPGA). Readers will learn how to apply algorithms to these processors.

Features

  • Provides an introduction of the basics of holography and computer holography
  • Summarizes the latest advancements in computer-generated holograms
  • Showcases the latest researchers of digital holography
  • Discusses fast CGH algorithms and diffraction calculations, and their actual codes
  • Includes hardware implementation for computer holography, and its actual codes and quasi-codes

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