Computational Optical Phase Imaging

This book provides Matlab codes to simulate computational optical phase imaging techniques and discusses their applications in engineering measurements and biomedical imaging. It also explores the future of computational optical phase imaging, including system miniaturization and deep learning-based phase retrieval.

Format: Hardback
Length: 301 pages
Publication date: 12 April 2022
Publisher: Springer Verlag, Singapore

In this comprehensive book, we delve into the realm of computational optical phase imaging techniques, accompanied by Matlab codes that empower readers to embark on their own simulations and acquire a deep understanding of the cutting-edge field. Our focus lies in exploring the modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Furthermore, we engage in a thoughtful exploration of the future of computational optical phase imaging, particularly in terms of system miniaturization and the integration of deep learning-based phase retrieval algorithms.

Computational optical phase imaging is a powerful tool that enables the visualization and manipulation of optical phases in a wide range of applications. By leveraging advanced algorithms and computational techniques, researchers and engineers can extract valuable information from complex optical systems, such as microscopy, optical coherence tomography, and interferometry.

One of the key advantages of computational optical phase imaging is its ability to provide high-resolution images with a wide field of view. This makes it particularly useful in biomedical imaging, where the ability to capture detailed images of small structures is crucial for accurate diagnosis and treatment. Computational optical phase imaging can also be used in engineering applications, such as metrology, where the precise measurement of complex shapes and surfaces is essential.

In this book, we will introduce you to the fundamental principles of computational optical phase imaging and demonstrate how they can be applied to various applications. We will cover topics such as phase retrieval algorithms, image processing techniques, and the use of machine learning for phase imaging. Additionally, we will provide detailed Matlab codes that allow readers to replicate our experiments and gain hands-on experience with the computational optical phase imaging techniques.

By the end of this book, readers will have a solid understanding of the current state-of-the-art in computational optical phase imaging and will be equipped with the skills necessary to apply these techniques to their own research and applications. Whether you are a researcher, engineer, or student interested in optics, this book will provide you with valuable insights and knowledge.

In conclusion, computational optical phase imaging is a rapidly evolving field with significant potential for advancing our understanding of optical systems and applications. This book provides a comprehensive introduction to the techniques and applications of computational optical phase imaging, accompanied by Matlab codes that enable readers to gain hands-on experience and explore the field further. We believe that this book will be a valuable resource for anyone interested in computational optical phase imaging and will contribute to the continued growth and development of this field.

Weight: 635g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811916403
Edition number: 1st ed. 2022