Articles
| Open Access |
DOI: Adaptive Method For Eliminating Noise Of Image
Beknazarova Saida Safibullaevna , Dept. Audiovisual Technologies Of Tashkent University Of Information Technologies Named By Muhammad Al- Khwarizmi, Tashkent, Uzbekistan Jaumitbayeva Mexriban Karamatdin Qizi , Dept. Audiovisual Technologies Of Tashkent University Of Information Technologies Named By Muhammad Al- Khwarizmi, Tashkent, Uzbekistan Bekmirzaeva Maftuna Shaimardanova , Magister, Dept. Audiovisual Technologies Of Tashkent University Of Information Technologies Named By Muhammad Al- Khwarizmi, Tashkent, Uzbekistan Alimukhamedova Madina Erkinovna , Magister, Dept. Audiovisual Technologies Of Tashkent University Of Information Technologies Named By Muhammad Al- Khwarizmi, Tashkent, UzbekistanAbstract
The common form of interference is random additive noise, which is statistically independent of the video signal. The additive noise model is used when the signal at the output of the imaging system or at some intermediate conversion stage can be considered as the sum of the useful signal and some random signal (noise). The additive noise model describes well the action of film grain, fluctuation noise in radio systems, quantization noise in analog-to-digital converters, etc. [10, p.23-24 ].
Keywords
Eliminating Noise
References
J. P. Tardif, Non-iterative approach for fast and accurate vanishing point detection//ICCV. 2009. P. 1250-1257
(http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5459328) Pratt W. Digital image processing.- M. Mir, 1982-kN 2 -480 s
Obukhova, N. A. video detection And tracking systems for mobile objects / N. A. Obukhova, B. S. Timofeev / / telecommunications. - 2003-No. 12-Pp. 36-44
Gaganov V., Konushin A. Segmentation of moving objects in the video stream. Computer graphics and multimedia. Issue #3. 2004. Pp. 45-47
Talantbek K. Detection and determination of coordinates of moving objects point objects in the sequence of images / / Novosibirsk 2009.
D. Prewer, Kitchen L. Weighted Linked Pyramids and Soft Segmentation of Colour Images // Taiwan : ACCV2000. vol. 2. 2000. P. 989-994
Aridgides A., Fernandez M., Randolph D., Bray D. Adaptive three-dimensional spatial-temporal filtering techniques for infrared clutter suppression. Proc. of SPIE Vol. 1305, Signal and Data Processing of Small Targets. -Oct, 1990, pp. 63-74.
A. Aridgides, M. Fernandez, D. Randolph 3 Ferris D. Adaptive 4-D sh clutter suppression filtering technique // Proc. of SPIE Vol. 1481, Signal and Data Processing of Small Targets. - Aug 1991, pp. 110-116
D. Farin, Peter H. N. de With, W. Effelsberg, Robust background estimation for complex video sequences // International Conference on Image Processing. - Sept. 2003, pp. 145-148.
Alpatov BA. Algorithm of detection and selection of a moving image fragment / / communication equipment. Television Technique series. -1991.- No. 2. Pp. 72-76.
Beknazarova S.S. Discrete-continuous processes in TIAV multimedia system, LAP LAMBERT Academic Publishing GmbH & Co. KG, Saarbrucken, Germany, 2015, 57
Loops J.R., Loops Yu, Cool Edit Pro 2. Secrets Excellence. BHV - St. Petersburg, 2004.
Greeks A.S. Digital video. Tutorial on the computer. Peak - Russia; 2004.
Means of automated information systems and technologies [electronic resource] // Finam: [site]. [1999-2012]. URL: http://www.finam.ru/dictionary/wordf02B55/default.asp?n=27 (date accessed: 29.11.2012).
Fine V.S. Image Recognition. M .: Nauka, 1970.299 s. Samal D.I., Starovoitov V.V. Selection of features for recognition based on statistical data // Digital image processing. - Minsk: ITK, 1999. – S.105-114
Sh Kh Fazilov, R A Lutfullaev, N. M. Mirzaev, A Sh Mukhamadiev Statistical approach to building a model of recognition operators under conditions of high dimensionality of a feature space// Journal of Physics: Conference Series 1333 (2019) 032017 IOP Publishing doi:10.1088/1742-6596/1333/3/032017
N. Sedova, V. Sedov, R. Bazhenov, A. Karavka, S.Beknazarova. Automated Stationary Obstacle Avoidance When Navigating a Marine Craft //2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019; Novosibirsk; Russian Federation; 21 October 2019
Beknazarova S., Mukhamadiyev A.Sh. Jaumitbayeva M.K.Processing color images, brightness and color conversion// International Conference on Information Science and Communications Technologies ICISCT 2019 Applications, Trends and Opportunities. Tashkent 2019
Article Statistics
Copyright License
Copyright (c) 2020 The American Journal of Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.