This article explores modern approaches in the field of digital image processing, focusing on methods for noise detection and removal. It outlines the causes of noise in images and describes the main noise models - additive Gaussian noise and impulse noise. The advantages and applications of various filters, including linear and nonlinear, median, and rank filters, are discussed. The role of filtering in improving image quality is emphasized, particularly in fields such as medicine and digital communication systems.
| Mualliflar | Rakhimov , Bakhtiyor, Otamuratov , Khurmatbek, O‘razmatov, Tokhir |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2025-08-11 |
| Jild | 3 |
| Son | 5 |
| Betlar | 17-24 |
| Til | O‘zbek |
| DOI | 10.47390/ts-v3i5y2025n3 |
DOI: 10.47390/ts-v3i5y2025n3 · Maqolaning asl sahifasi
Digital image processing, Gaussian noise, impulse noise, median filter, rank filter, linear filter, non-linear filter, convolution, image quality enhancement, Raqamli tasvirlarni qayta ishlash, Gauss shovqini, impulsli shovqin, medianna filtr, ranjirlovchi filtr, chiziqli filtr, nochiziqli filtr, konvolyutsiya, tasvir sifatini yaxshilash
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