Removing Noise During the Filtering Images
Varlamova Lyudmila1, Aripova Zulfiya2, Ganiev Akmal3, Fayzullaev Ubaydulla4
1Varlamova Lyudmila Petrovna, Associate Professor of Department Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
2Aripova Zulfiya Dilshodovna, Teacher of Department Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
3Ganiev Akmal Abdukhalilovich, Teacher Professor of Department Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
4Fayzullaev Ubaydulla Sagdullaevich, Teacher of Department Information technologies, Tashkent State Technical University, Tashkent, Uzbekistan.
Manuscript received on May 18, 2020. | Revised Manuscript received on May 27, 2020. | Manuscript published on May 30, 2020. | PP: 2584-2587 | Volume-9 Issue-1, May 2020. | Retrieval Number: A3109059120/2020©BEIESP | DOI: 10.35940/ijrte.A3109.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the problems of image recognition, various approaches used when the image is noisy and there is a small sample of observations. The article discusses the issue of noise filtering in image processing. The lack of a priori information complicates the processing of data, as a result of which it is necessary to rely on some statistical models of signals and noise. The use of known filters does not always give the desired result. A Gaussian filter can be used for additive noise, a modified Kalman filter eliminates a wider range of noise.
Keywords: Image, Filtering, a set of binary images, a continuous algorithm, a discrete algorithm.
Scope of the Article: Web Algorithms