{"product_id":"computational-imaging-isbn-9780262046473","title":"Computational Imaging","description":"\u003cb\u003eA comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eComputational 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.\u003cbr\u003e \u003cbr\u003eThe 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.\u003cbr\u003e List of Figures xi\u003cbr\u003eList of Tables xxix\u003cbr\u003ePreface xxxi\u003cbr\u003e1 Introduction to Computational Imaging 1\u003cbr\u003eI Part I: Toolkits 9\u003cbr\u003e2 Imaging Toolkit 11\u003cbr\u003e3 Computational Toolkit 67\u003cbr\u003eII Part II: Plenoptic Imaging 127\u003cbr\u003e4 Spatially Coded Imaging 127\u003cbr\u003e5 Temporally Coded Imaging 169\u003cbr\u003e6 Light Field Imaging and Display 211\u003cbr\u003e7 Polarimetric Imaging 253\u003cbr\u003e8 Spectral Imaging 287\u003cbr\u003eIII Part III: Shading and Transport of Light 315\u003cbr\u003e9 Programmable Illumination and Shading 317\u003cbr\u003e10 Light Transport 357\u003cbr\u003eGlossary 415\u003cbr\u003eReferences 421\u003cbr\u003eIndex 443\u003cb\u003eAyush Bhandari\u003c\/b\u003e is Assistant Professor of Electrical and Electronic Engineering at Imperial College London. \u003cb\u003eAchuta Kadambi\u003c\/b\u003e is Assistant Professor of Electrical Engineering and Computer Science at the University of California, Los Angeles. \u003cb\u003eRamesh Raskar\u003c\/b\u003e is Associate Professor at the MIT Media Lab and winner of the 2016 Lemelson-MIT Prize.\u003cbr\u003e \u003cbr\u003e ","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46302506287333,"sku":"NP9780262046473","price":60.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262046473.jpg?v=1767724013","url":"https:\/\/k12savings.com\/es\/products\/computational-imaging-isbn-9780262046473","provider":"K12savings","version":"1.0","type":"link"}