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In [[imaging science]], '''image processing''' is processing of images using mathematical operations by using any form of [[signal processing]] for which the input is an image, a series of images, or a video, such as a [[photograph]] or [[video frame]]; the output of image processing may be either an image or a set of characteristics or [[parameter]]s related to the image.<ref name="GonzalezWoods2008">{{cite book|author1=Rafael C. Gonzalez|author2=Richard E. Woods|title=Digital Image Processing|url=https://books.google.com/books?id=8uGOnjRGEzoC|year=2008|publisher=Prentice Hall|isbn=978-0-13-168728-8|pages=1–3}}</ref> Most image-processing techniques involve treating the image as a [[two-dimensional]] [[signal (electrical engineering)|signal]] and applying standard signal-processing techniques to it. Images are also processed as [[three-dimensional]] signals with the third-dimension being time or the z-axis.
In [[imaging science]], '''image processing''' is processing of images using mathematical operations by using any form of [[signal processing]] for which the input is an image, a series of images, or a video, such as a [[photograph]] or [[video frame]]; the output of image processing may be either an image or a set of characteristics or [[parameter]]s related to the image.<ref name="GonzalezWoods2008">{{cite book|author1=Rafael C. Gonzalez|author2=Richard E. Woods|title=Digital Image Processing|url=https://books.google.com/books?id=8uGOnjRGEzoC|year=2008|publisher=Prentice Hall|isbn=978-0-13-168728-8|pages=1–3}}</ref> Most image-processing techniques involve isolating the individual color planes of an image and treating it as a [[two-dimensional]] [[signal (electrical engineering)|signal]] and applying standard signal-processing techniques to it. Images are also processed as [[three-dimensional]] signals with the third-dimension being time or the z-axis.


Image processing usually refers to [[digital image processing]], but [[Optical engineering|optical]] and [[analog image processing]] also are possible. This article is about general techniques that apply to all of them. The ''acquisition'' of images (producing the input image in the first place) is referred to as imaging.<ref name="hornak2002">Joseph P. Hornak, ''Encyclopedia of Imaging Science and Technology'' ([[John Wiley & Sons]], 2002) ISBN 9780471332763</ref>
Image processing usually refers to [[digital image processing]], but [[Optical engineering|optical]] and [[analog image processing]] also are possible. This article is about general techniques that apply to all of them. The ''acquisition'' of images (producing the input image in the first place) is referred to as imaging.<ref name="hornak2002">Joseph P. Hornak, ''Encyclopedia of Imaging Science and Technology'' ([[John Wiley & Sons]], 2002) ISBN 9780471332763</ref>

Revision as of 04:23, 28 April 2017

In imaging science, image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image.[1] Most image-processing techniques involve isolating the individual color planes of an image and treating it as a two-dimensional signal and applying standard signal-processing techniques to it. Images are also processed as three-dimensional signals with the third-dimension being time or the z-axis.

Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging.[2]

Closely related to image processing are computer graphics and computer vision. In computer graphics, images are manually made from physical models of objects, environments, and lighting, instead of being acquired (via imaging devices such as cameras) from natural scenes, as in most animated movies. Computer vision, on the other hand, is often considered high-level image processing out of which a machine/computer/software intends to decipher the physical contents of an image or a sequence of images (e.g., videos or 3D full-body magnetic resonance scans).

In modern sciences and technologies, images also gain much broader scopes due to the ever growing importance of scientific visualization (of often large-scale complex scientific/experimental data). Examples include microarray data in genetic research, or real-time multi-asset portfolio trading in finance.

See also

References

  1. ^ Rafael C. Gonzalez; Richard E. Woods (2008). Digital Image Processing. Prentice Hall. pp. 1–3. ISBN 978-0-13-168728-8.
  2. ^ Joseph P. Hornak, Encyclopedia of Imaging Science and Technology (John Wiley & Sons, 2002) ISBN 9780471332763

Further reading

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