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'''Image processing''' is the application of [[signal processing]]
#REDIRECT [[digital image processing]]
techniques to the domain of [[images]] — two-dimensional [[signal]]s such as [[photography|photographs]] or [[video]].


{{Authority control}}
Most of the signal processing concepts that apply to one-dimensional signals — such as [[resolution]], [[dynamic range]], [[bandwidth]], [[filter (signal processing)| filtering]], etc. — extend naturally to images as well. However, image processing brings some new concepts — such as [[connected|connectivity]] and [[rotational invariance]] — that are meaningful or useful only for two-dimensional signals. Also, certain one-dimensional concepts — such as [[differential operators]], [[edge detection]], and [[domain modulation]] — become substantially more complicated when extended to two dimensions.


[[Category:Image processing]]
A few decades ago, image processing was done largely in the [[analog]] domain, chiefly by [[optics|optical]] devices. Optical methods are inherently [[parallel]], and for that reason they are still essential to [[holography]] and a few other applications. However, as [[computers]] keep getting faster, analog techniques are being increasingly replaced by [[digital image processing]] techniques — which are more versatile, reliable, accurate, and easier to implement.

==See also==
* [[optics]]
* [[photography]]
* [[imaging]]
* [[computer vision]]
* [[computer graphics]]

==External links==
*[http://homepages.inf.ed.ac.uk/rbf/HIPR2/ Hypermedia Image Processing Reference]

[[Category:Computer vision]]

[[de:Bildverarbeitung]]
[[fr:Traitement d'image]]
[[ja:コンピュータビジョン]]
[[nl:Beeldbewerking]]
[[th:การประมวลผลภาพ]]

Latest revision as of 11:12, 12 November 2022