This article discusses theoretical foundations of digital image preprocessing algorithms, their software implementation, and performance evaluation. Image quality degradation caused by noise, low contrast, and blurring is addressed using filtering, smoothing, sharpening, contrast enhancement, and edge detection algorithms. The efficiency of the algorithms is evaluated using PSNR and SSIM metrics. A software application with a graphical user interface was developed using Python and OpenCV, and experimental results are presented.
| Mualliflar | Erejepov, Keulimjay, Adilbayeva, Dilfuza |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-06-08 |
| Son | 2 |
| Betlar | 346-349 |
| Til | Rus |
Keywords: digital image, preprocessing, filtering, PSNR, SSIM, OpenCV, GUI., Ключевые слова: цифровое изображение, предварительная обработка, фильтрация, PSNR, SSIM, программная реализация., Kalit so‘zlar: raqamli tasvir, dastlabki ishlov berish, filtrlash, PSNR, SSIM, dasturiy realizatsiya.
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