Digital image processing
Algorithmic processing of digitally-represented images

Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing. Since images are defined over two dimensions, digital image processing may be modeled in the form of multidimensional systems. The generation and development of digital image processing are mainly affected by three factors: first, the development of computers; second, the development of mathematics ; and third, the demand for a wide range of applications in environment, agriculture, military, industry and medical science has increased.
The public source identifies “Digital image processing” as algorithmic processing of digitally-represented images. This brief keeps that definition visible, then builds a research path around Digital, image and processing.
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This entry incorporates text from “Digital image processing” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.