Computational Cameras: Convergence of Optics and Processing

A computational camera uses a combination of optics and processing to produce images that cannot be captured with traditional cameras. In the last decade, computational imaging has emerged as a vibrant field of research. A wide variety of computational cameras has been demonstrated to encode more us...

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Published in:	IEEE transactions on image processing Vol. 20; no. 12; pp. 3322 - 3340
Main Authors:	Changyin Zhou, Nayar, S. K.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01-12-2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Artificial intelligence Cameras Coding Coding, codes Computation Computer science; control theory; systems Computer vision Design engineering Detectors Devices Exact sciences and technology Image coding Image processing Imaging Information, signal and communications theory Lenses Optical devices optics Pattern recognition. Digital image processing. Computational geometry Sensors Signal and communications theory Signal processing Telecommunications and information theory Computer vision Useful information Image processing Coding Imaging Imager Illumination Visual information Image sensor optics
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Abstract	A computational camera uses a combination of optics and processing to produce images that cannot be captured with traditional cameras. In the last decade, computational imaging has emerged as a vibrant field of research. A wide variety of computational cameras has been demonstrated to encode more useful visual information in the captured images, as compared with conventional cameras. In this paper, we survey computational cameras from two perspectives. First, we present a taxonomy of computational camera designs according to the coding approaches, including object side coding, pupil plane coding, sensor side coding, illumination coding, camera arrays and clusters, and unconventional imaging systems. Second, we use the abstract notion of light field representation as a general tool to describe computational camera designs, where each camera can be formulated as a projection of a high-dimensional light field to a 2-D image sensor. We show how individual optical devices transform light fields and use these transforms to illustrate how different computational camera designs (collections of optical devices) capture and encode useful visual information.
AbstractList	A computational camera uses a combination of optics and processing to produce images that cannot be captured with traditional cameras. In the last decade, computational imaging has emerged as a vibrant field of research. A wide variety of computational cameras has been demonstrated to encode more useful visual information in the captured images, as compared with conventional cameras. In this paper, we survey computational cameras from two perspectives. First, we present a taxonomy of computational camera designs according to the coding approaches, including object side coding, pupil plane coding, sensor side coding, illumination coding, camera arrays and clusters, and unconventional imaging systems. Second, we use the abstract notion of light field representation as a general tool to describe computational camera designs, where each camera can be formulated as a projection of a high-dimensional light field to a 2-D image sensor. We show how individual optical devices transform light fields and use these transforms to illustrate how different computational camera designs (collections of optical devices) capture and encode useful visual information.
Author	Changyin Zhou Nayar, S. K.
Author_xml	– sequence: 1 surname: Changyin Zhou fullname: Changyin Zhou email: changyin@cs.columbia.edu organization: Dept. of Comput. Sci., Columbia Univ., New York, NY, USA – sequence: 2 givenname: S. K. surname: Nayar fullname: Nayar, S. K. email: nayar@cs.columbia.edu organization: Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
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Snippet	A computational camera uses a combination of optics and processing to produce images that cannot be captured with traditional cameras. In the last decade,...
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SubjectTerms	Applied sciences Artificial intelligence Cameras Coding Coding, codes Computation Computer science; control theory; systems Computer vision Design engineering Detectors Devices Exact sciences and technology Image coding Image processing Imaging Information, signal and communications theory Lenses Optical devices optics Pattern recognition. Digital image processing. Computational geometry Sensors Signal and communications theory Signal processing Telecommunications and information theory
Title	Computational Cameras: Convergence of Optics and Processing
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