Computational Imaging

Computational Imaging

By Ayush Bhandari, Achuta Kadambi and Ramesh Raskar

A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics.

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A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics.

Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques.

The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.

Pre-Order Hardcover

$60.00 X ISBN: 9780262046473 488 pp. | 7 in x 9 in 260 figures

Endorsements

  • “A very timely book by some of the leading experts on computational imaging that will be an essential reference for researchers interested in advancing imaging science and engineering through computation and data.”

    Aydogan Ozcan

    Chancellor's Professor and the Volgenau Chair for Engineering Innovation at UCLA; HHMI Professor with the Howard Hughes Medical Institute

  • “A great book on the foundations of computational imaging; ideal for classroom use and self-study.”

    Zhi-Pei Liang

    Franklin W. Woeltge Professor, University of Illinois at Urbana-Champaign

  • “This timely, comprehensive, and authoritative introduction to computational imaging organizes the core technical ideas in an accessible manner while still covering the breadth of potential applications.”

    Ashok Veeraraghavan

    Professor, Department of Electrical and Computer Engineering, Rice University