Algorithmic processing of digitally-represented images
This article is about mathematical processing of digital images. For artistic processing of images, see Image editing. For compression algorithms, see Image compression.
Not to be confused with Analog image processing.
Digital image processing is the use of a digital computer to process digital images through an algorithm.[1][2] 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 (perhaps more) 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 (especially the creation and improvement of discrete mathematics theory); third, the demand for a wide range of applications in environment, agriculture, military, industry and medical science has increased.
^Chakravorty, Pragnan (2018). "What is a Signal? [Lecture Notes]". IEEE Signal Processing Magazine. 35 (5): 175–177. Bibcode:2018ISPM...35e.175C. doi:10.1109/MSP.2018.2832195. S2CID 52164353.
^Gonzalez, Rafael (2018). Digital image processing. New York, NY: Pearson. ISBN 978-0-13-335672-4. OCLC 966609831.
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subcategory or field of digital signal processing, digitalimageprocessing has many advantages over analog imageprocessing. It allows a much wider range of...
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or photocopying. Images can also be animated through digital or physical processes. In the context of signal processing, an image is a distributed amplitude...
Digital Image Processing: An Algorithmic Approach Using Java. Springer. ISBN 978-1-84628-379-6. Dougherty, G (2009). DigitalImageProcessing for Medical...
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