APPLICATION OF SMOOTHING FILTERS FOR CLEANING OF NOISE OF GRAYSCALE IMAGES
The article observes the use of smoothing filters for cleaning of noised grayscale images. The problem of recovery of the distorted images is very important in various fields of astronomy, medicine, physics, biology, geography, archeology and many others. In this paper we compared the efficiency of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
| Published: |
North-Caucasus Federal University
2022-09-01
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| Series: | Наука. Инновации. Технологии |
| Subjects: | |
| Online Access: | https://scienceit.elpub.ru/jour/article/view/378 |
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| Summary: | The article observes the use of smoothing filters for cleaning of noised grayscale images. The problem of recovery of the distorted images is very important in various fields of astronomy, medicine, physics, biology, geography, archeology and many others. In this paper we compared the efficiency of different types of filters: simple, binomial and Gaussian. The simulation was performed in mathematical package MATLAB and as the initial data we used grayscale images in size 256 » 256 pixels. We used filter masks in size 3 » 3 and 5 » 5. On the basis of the experiment, conclusions are drawn, what filters it is better to use at different intensity of the image distortion. The simulation results showed that for improving images with not much noise is better to use 5 » 5 Gaussian filter dimension, but for very noisy images is enough to use a simple smoothing ilter with the same dimension. |
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| ISSN: | 2308-4758 |