Fourier Optics and Computational Imaging (PDF)
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The book is designed to serve as a textbook for advanced undergraduate and graduate students enrolled in physics and electronics and communication engineering and mathematics. The book provides an introduction to Fourier optics in light of new developments in the area of computational imaging over the last couple of decades. There is an in-depth discussion of mathematical methods such as Fourier analysis, linear systems theory, random processes, and optimization-based image reconstruction techniques. These techniques are very much essential for a better understanding of the working of computational imaging systems. It discusses topics in Fourier optics, e.g., diffraction phenomena, coherent and incoherent imaging systems, and some aspects of coherence theory. These concepts are then used to describe several system ideas that combine optical hardware design and image reconstruction algorithms, such as digital holography, iterative phase retrieval, super-resolution imaging, point spread function engineering for enhanced depth-of-focus, projection-based imaging, single-pixel or ghost imaging, etc. The topics covered in this book can provide an elementary introduction to the exciting area of computational imaging for students who may wish to work with imaging systems in their future careers.
Mansi Butola is currently a Ph.D. studentat the Department of Physics, Indian Institute of Technology Delhi. Her research interests include computational imaging systems in general and her thesis work has focused on iterative phase retrieval algorithms for coherent diffraction imaging. She completed her B. Sc. (Honours) in Physics from Delhi University in 2014. After that in 2016, she received her M. Sc. in Physics from Garhwal University. She is a member of the Optica Student Chapter at IIT Delhi and has actively participated in organizing multiple seminars/workshops and outreach activities.
Sunaina Rajora is currently a Ph.D. student in the Department of Physics at the Indian Institute of Technology, Delhi. Her research interests include inverse problems in imaging, optimization algorithms, quantitative phase imaging, digital holography, and tomographic reconstruction. She received her B.Sc. and M.Sc. degrees in Physics from Aligarh Muslim University, India in 2013 and 2015, respectively. She is a member of the
- Autoren: Kedar Khare , Mansi Butola , Sunaina Rajora
- 2023, 2nd ed. 2023, 294 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031183533
- ISBN-13: 9783031183539
- Erscheinungsdatum: 02.01.2023
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- Grösse: 6.11 MB
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