Computational Imaging (Hardcover)

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.

一本全面且最新的教科書和參考書，涵蓋計算成像的視覺、圖形、信號處理和光學等領域。

計算成像涉及成像硬件和計算機算法的聯合設計，以創建具有前所未有能力的新型成像系統。近年來，這些能力包括每秒兆幀操作的相機、可以看到長期被認為在光學上無法解析的小型病毒的顯微鏡，以及捕捉黑洞圖像的望遠鏡。本書提供了對這個快速發展領域的全面且最新的介紹，涵蓋了視覺、圖形、信號處理和光學的融合。它可以作為計算機成像課程的教學資源，也可以作為專業人士的參考。它涵蓋了該領域的基礎知識、當前的研究和應用，以及光傳輸技術。

本書首先介紹了成像工具包，包括光學、圖像傳感器和照明，以及計算工具包，介紹建模、數學工具、基於模型的反演、數據驅動的反演技術和混合反演技術。然後，它探討了不同的光模態，重點介紹了光線的自由度描述——光場函數。最後，本書概述了光傳輸技術，描述了獲取微米級三維形狀或優化無噪聲成像、光計算和非直視成像的成像系統。在整個過程中，它討論了計算成像方法在智能手機攝影、自動駕駛和醫學成像等各個應用領域的使用。章末練習有助於將材料置於上下文中。

Ayush Bhandari is Assistant Professor of Electrical and Electronic Engineering at Imperial College London. Achuta Kadambi is Assistant Professor of Electrical Engineering and Computer Science at the University of California, Los Angeles. Ramesh Raskar is Associate Professor at the MIT Media Lab and winner of the 2016 Lemelson-MIT Prize.

Ayush Bhandari是倫敦帝國學院的電氣與電子工程助理教授。Achuta Kadambi是加州大學洛杉磯分校的電氣工程與計算機科學助理教授。Ramesh Raskar是麻省理工學院媒體實驗室的副教授，並且是2016年Lemelson-MIT獎的獲獎者。