Computational Photography Article Index for
Computational
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Computational Photography




digital computer. Computational photography refers broadly to
computational imaging techniques that enhance or extend the capabilities of
Digital Photography . The output of these techniques is an ordinary
photograph, but one that could not have been taken by a traditional camera.

The term was first used by Steve Mann , and possibly others, to describe
their own research. More recently its definition has evolved to cover a number of
subject areas in Computer Graphics , Computer Vision , and applied
Optics . These areas are given below, organized according to a taxonomy
proposed by Shree Nayar . Within each area is a list of techniques, and for
each technique one or two representative papers or books are cited.
Deliberately omitted from the
taxonomy are Image Processing (see also Digital Image Processing )
techniques applied to traditionally captured
images in order to produce better images. Examples of such techniques are
Image Scaling , dynamic range compression (i.e. Tone Mapping ),
Color Management , image completion (a.k.a. inpainting or hole filling),
Image Compression . Digital Watermarking , and artistic image effects.
Also omitted are techniques that produce Range Data ,
Volume Data , 3D Model s, 4D Light Fields ,
4D, 6D, or 8D BRDF s, or other high-dimensional image-based representations.


COMPUTATIONAL ILLUMINATION


Controlling photographic illumination in a structured fashion, then processing the captured images,
to create new images. The applications include image-based relighting, image enhancement, geometry/material recovery and so forth.







COMPUTATIONAL OPTICS


Capture of optically coded images, followed by computational decoding to produce new images.
Coded aperture imaging was mainly applied in astronomy or X-ray imaging to boost the image quality. Instead of a single pin-hole, a pinhole pattern is applied in imaging, and . The coded aperture can also improve the quality in light field acquisition using Hadamard transform optics.









COMPUTATIONAL PROCESSING


Processing of non-optically coded images to produce new images.








COMPUTATIONAL SENSORS


Detectors that combine sensing and
processing, typically in hardware.



EARLY WORK IN COMPUTER VISION


Although computational photography is a currently popular buzzword, many of its
techniques first appeared in the computer vision literature,
either under other names or within papers aimed at 3D shape analysis.
A few examples are:



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