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portada Computational Imaging Through Atmospheric Turbulence
Type
Physical Book
Publisher
Language
English
Pages
270
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.6 cm
Weight
0.55 kg.
ISBN13
9781638289999

Computational Imaging Through Atmospheric Turbulence

Stanley H. Chan (Author) · Nicholas Chimitt (Author) · Now Publishers · Hardcover

Computational Imaging Through Atmospheric Turbulence - Chan, Stanley H. ; Chimitt, Nicholas

Physical Book

£ 93.34

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Monday, June 24 and Wednesday, July 10.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Computational Imaging Through Atmospheric Turbulence"

Since the seminal work of Andrey Kolmogorov in the early 1940's, imaging through atmospheric turbulence has grown from a pure scientific pursuit to an important subject across a multitude of civilian, space-mission, and national security applications. Fueled by the recent advancement of deep learning, the field is further experiencing a new wave of momentum. However, for these deep learning methods to perform well, new efforts are needed to build faster and more accurate computational models while at the same time maximizing the performance of image reconstruction. The goal of this book is to present the basic concepts of turbulence physics while accomplishing the goal of image reconstruction. Starting with an exploration of optical modeling and computational imaging in Chapter 1, the book continues to Chapter 2, discussing the essential optical foundations required for the subsequent chapters. Chapter 3 introduces a statistical model elucidating atmospheric conditions and the propagation of waves through it. The practical implementation of the Zernike-based simulation is discussed in Chapter 4, paving the way for the machine learning solutions to reconstruction in Chapter 5. In this concluding chapter, classical and contemporary trends in turbulence mitigation are discussed, providing readers with a comprehensive understanding of the field's evolution and a sense of its direction. The book is written primarily for image processing engineers, computer vision scientists, and engineering students who are interested in the field of atmospheric turbulence, statistical optics, and image processing. The book can be used as a graduate text, or advanced topic classes for undergraduates.

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