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#REDIRECT [[digital image processing]]
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]] [[signal (electrical engineering)|signal]]s where 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 science|imaging]].<ref name="hornak2002">Joseph P. Hornak, ''Encyclopedia of Imaging Science and Technology'' ([[John Wiley & Sons]], 2002) ISBN 9780471332763</ref>

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==
<!-- Please put links that apply strictly to DIGITAL image processing in its own article. -->
* [[Image analysis]]
* [[Image sharpening]]
* [[Image smoothing]]
* [[Multidimensional systems]]
* [[Near sets]]
* [[Photo manipulation]]

==Further reading==
* {{cite book
|author = Tinku Acharya and Ajoy K. Ray
|title = Image Processing - Principles and Applications
|year = 2006
|url = https://books.google.com/books?id=smBw4-xvfrIC&lpg=PP1&dq=image%20processing%20ajoy%20ray&pg=PP1#v=onepage&q=&f=false
|publisher = Wiley InterScience
}}
* {{cite book
|author = Wilhelm Burger and Mark J. Burge
|title = Digital Image Processing: An Algorithmic Approach Using Java
|publisher = [[Springer Science+Business Media|Springer-Verlag]]
|year = 2008
|url = http://www.imagingbook.com/
|isbn=978-1-84628-968-2
}}
* {{cite book
|author= Bernd Jähne
|title = Digital Image Processing,<ref>http://www.disi.unige.it/person/RovettaS/rad/image-processing-wikipedia-book.pdf</ref>
|publisher=[[Springer Science+Business Media|Springer]]
|year=2002
|isbn=3-540-67754-2
}}
* {{cite book
|author=Tim Morris
|title=Computer Vision and Image Processing
|publisher=Palgrave Macmillan
|year=2004
|isbn=0-333-99451-5
}}
* {{cite book
|author=Tony F. Chan and Jackie (Jianhong) Shen
|title=Image Processing and Analysis - Variational, PDE, Wavelet, and Stochastic Methods
|publisher=Society of Industrial and Applied Mathematics
|year=2005
|isbn=0-89871-589-X
}}
* {{cite book
|author=Milan Sonka, Vaclav Hlavac and Roger Boyle
|title=Image Processing, Analysis, and Machine Vision
|publisher=PWS Publishing
|year=1999
|isbn=0-534-95393-X
}}

==References==
{{Reflist}}

==External links==
<!-- Put links about DIGITAL image processing in its own article. -->
* [https://archive.org/details/Lectures_on_Image_Processing Lectures on Image Processing], by Alan Peters. Vanderbilt University. Updated 7 January 2016.
* [http://www.ipol.im/ Image Processing On Line] – Open access journal with image processing algorithms, open source implementations and demonstrations
* [http://iprg.co.in IPRG] Open group related to image processing research resources


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[[Category:Image processing| *]]
[[Category:Image processing]]
[[Category:Multidimensional signal processing]]

Latest revision as of 11:12, 12 November 2022