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Computational optical phase imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational optical phase imagingby Cheng Liu, Shouyu Wang, Suhas P. Veetil.
Author:	Liu, Cheng.
other author:	Wang, Shouyu.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	x, 301 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Image processingDigital techniques.
Online resource:	https://doi.org/10.1007/978-981-19-1641-0
ISBN:	9789811916410$q(electronic bk.)

Computational optical phase imaging
Liu, Cheng.

Computational optical phase imaging[electronic resource] /by Cheng Liu, Shouyu Wang, Suhas P. Veetil. - Singapore :Springer Nature Singapore :2022. - x, 301 p. :ill., digital ;24 cm. - Progress in optical science and photonics,v. 212363-510X ;. - Progress in optical science and photonics ;v.2..

Introduction to Computational Phase Imaging -- Qualitative Phase Imaging -- Interference Based Quantitative Optical Phase Imaging -- Non-interferometric Quantitative Optical Phase Imaging -- Typical Applications of Computational Phase Imaging -- Recent Trends in Computational Optical Phase Imaging.

In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.

ISBN: 9789811916410$q(electronic bk.)

Standard No.: 10.1007/978-981-19-1641-0doiSubjects--Topical Terms:

182119
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .L58 2022

Dewey Class. No.: 006.42

Computational optical phase imaging
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520 $a In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.
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