SUBSTANTIAL FOUNDATIONS OF THE MATHEMATICAL MODEL OF A DIGITAL HALFTONE IMAGE

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Artem Evgenievich Pokintelitsa
Junior Researcher of the Department of Theoretical Research in Artificial Intelligence, Federal State Budget Scientific Institution "Institute of Artificial Intelligence Problems", Donetsk.
283048, 118 b Artyoma str., Donetsk.
Research interests: artificial intelligence, data analysis, information representation.

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UDC 51-74:004.932
DOI 10.24412/2413-7383-2024-3-36-43
Language: Russian
Annotation: This paper analyzes the substantial foundations of the mathematical model of a digital halftone image. The process of the model construction is considered. It is indicated that the representation of visual information using a specially ordered set of values of a discretized image function which determines the brightness of the image makes it possible to use mathematical methods of image processing. The ordering function establishes the relationship between the individual elements of a digital image (pixels). It is concluded that the ordering function is the key to extracting useful information from a set of visual data that is being processed.
Keywords: digital image, mathematical model, image processing, visual information representation, modeling.

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Release: 3(34)'2024
Chapter: ROBOTS, MECHATRONICS AND ROBOTIC SYSTEMS
How to quote: Pokintelitsa A. E. SUBSTANTIAL FOUNDATIONS OF THE MATHEMATICAL MODEL OF A DIGITAL HALFTONE IMAGE [Text] / A. E. Pokintelitsa // Problems of artificial intelligence. - 2024. № 3 (34). - P. 36-43. - http://paijournal.guiaidn.ru/ru/2024/3(34)-4.html

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