July 02 Reviewed: August 2022

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Corresponding Author Details: 
Saida Beknazarova
Em
ail: 
saida.beknazarova
@gmail.com 
Address: Tashkent University of 
Information Technologies 
named by Muhammad Al- 
Khwarizmi Tashkent, 108, Amir 
Temur Av., 100096, Tashkent, 
Uzbekistan

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Control Mechanism of eliminate noise and improve visual 
perception of the image
Saida Beknazarova
1, a)
, Shaxislam Joldasov
1, b)
, Ozoda Abdullayeva
2, c)
and Dilshod 
Mamasoatov
3, d)
1 
Tashkent University of Information Technologies named after Muhammad Al- Khwarizmi, Tashkent, Uzbekistan 
2
Namangan Engineering-Construction Institute, Namangan, Uzbekistan 
3
 Uzbekistan University of Journalism and Mass Communications, Tashkent, Uzbekistan 
 
a)
 Corresponding author: [e-mail] 
b)
 [e-mail]
 
c)
 [e-mail] 
d)
 [e-mail] 
Abstract. The article describes the method of noise elimination is linear averaging over neighboring pixels in a spatial 
neighborhood. In this case, the arithmetic mean of its neighbors is used as the new value of the central pixel. The larger the 
window size, the stronger the averaging occurs. Linear averaging partially impairs the perception of the image and 
complicates its further analysis, since it blurs the contours of objects. Adaptive filters are used to preserve the contours of 
objects in the image, which can change the filter coefficients in accordance with the features of the processed image. Most 
adaptive filters are local (implement "windowing"). For each position of the sliding processing window, either the filter 
mask counts are recalculated or the window configuration is changed. The disadvantage of adaptive filters is that the 
synthesis of these filters requires precise knowledge of some static characteristics of signals and noise, which is difficult in 
conditions of uncertainty in the field of application of video sensor-based computing devices.