This article proposes modern approaches to the problem of noise reduction in images using neural networks and also analyses the possibilities of noise reduction using neural networks. The convolutional neural network model and the Mediana, Sobel filter were considered for image denoising. The quality improvement of the trained neural network and the comparison with classical noise reduction methods have been carried out.
| Mualliflar | Anvar Asatilloyevich Ravshanov |
|---|---|
| Jurnal | Кимёвий технология. Назорат ва бошқарув |
| Nashr sanasi | 2024-06-29 |
| Jild | 2024 |
| Son | 3 |
| Betlar | 72-77 |
| Til | en |
| DOI | 10.59048/2181-1105.1587 |
DOI: 10.59048/2181-1105.1587 · Maqolaning asl sahifasi
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