Computational Imaging

Book Description

A comprehensive and up-to-date textbook and reference for comW酒店putational 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.

中文：

书名：计算成像

全面而最新沛纳海 (14)的教科书和计算成像参考，它结合了视世爵觉，图形，信号处理和光学。

计算成像涉及成像硬件和计算机算法的联合设计，以创建具有空前功能的新型成像系统。近年来，这种功能包括以每秒1万亿帧的速度运行的相机，可以看到长期以来被认为是光学上无法分辨的小病毒的显微镜以及捕获黑洞图像的望远镜。本文提供了对这个快速发展的领域的全面和最新的介绍，视觉，图形，信号处理和光学的融合。它可以用作计算机成像课程的教学资源，也可以作为专业人员的参考。它涵盖了该领域的基础知识，当前的研究和应用以及光传输技术。

本文首先介绍了一个成像工具包，包括光学，图像传感器和照明，以及一个计算工具包，介绍了建模，数学工具，基于模型的反演，数据驱动的反演技术和混合反演技术。然后，它检查了不同的光形态，重点研究了全光功能，该功能描述了光线的自由度。最后，本文概述了光传输技术，描述了获得微米级3D形状或针对无噪声成像，光学计算和非视线成像进行优化的成像系统。在整个过程中，它讨论了计算成像方法在一系列应用领域中的使用，包括智能手机摄影，自动驾驶和医学成像。章节结尾练习有助于将材料置于上下文中。