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Cybernetics and programming

Development of an automated procedure of digital image improvement using Laplace mask

Aleksanin Sergei Andreevich

graduate student, St. Petersburg State University of Information Technologies, Mechanics and Optics

197101, Russia, Saint Petersburg, Kronverkskii Prospekt, 49

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Fedosovskii Mikhail Evgen'evich

PhD in Technical Science

Ph.D. in Technical Sciences, Professor, Head of the Systems and technological safety technology Department, St. Petersburg National Research University of Information Technologies, Mechanics and Optics, General Director of "Diakont"

197101, Russia, Saint Petersburg, Kronverskii prospekt, 49

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Abstract: The study is devoted to automated procedures of selecting method and relevant parameters for digital image improvement. In this article the authors select filtering method known as Laplace mask to improve images. Since the image is represented by a discrete function, the authors use various discrete representations as an approximation of a continuous formula of two-dimensional Laplace operator. Additionally the paper reviews filters (masks) of Laplace high frequency which are frequently used in digital image processing. The research methodology is based on the computational experiments. Software for these experiments is designed using MATLAB system. The novelty of the research is to indicate the direction which will help reduce the time spent on image optimization while increasing the efficiency and reliability of the software for digital image processing. This is confirmed by the results of numerical experiments that were carried out with the use of the developed automated procedures for selecting and setting parameters Laplace masks for digital image processing.

Keywords: Image processing, Image Enhancement, Image Smoothing, Filtering of images, Laplace mask, CAD, The automated procedure, MATLAB, The selection procedure, Laplace operator
This article written in Russian. You can find full text of article in Russian here .

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