Публікація: Efficiency of image convolution
dc.contributor.author | Smelyakov, K. | |
dc.contributor.author | Shupyliuk, M. | |
dc.contributor.author | Martovytskyi, V. | |
dc.contributor.author | Tovchyrechko, D. | |
dc.contributor.author | Ponomarenko, O. | |
dc.date.accessioned | 2023-04-17T17:26:42Z | |
dc.date.available | 2023-04-17T17:26:42Z | |
dc.date.issued | 2019 | |
dc.description.abstract | The article discusses the main algorithms used to convolve a digital image, experiment is performed on various reduction factors, and discusses the use of convolution algorithms for an image with a large number of fine details, analyzes the effectiveness of the experimental results and selects the most effective convolution algorithms used for images with a large number small parts. | |
dc.identifier.citation | Efficiency of image convolution / K. Smelyakov, M. Shupyliuk, V. Martovytskyi, D. Tovchyrechko, O. Ponomarenko // 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL*2019) : сonference proceedings, Sozopol, Bulgaria, 6-8 September 2019. – P. 578–583. | |
dc.identifier.uri | https://openarchive.nure.ua/handle/document/22648 | |
dc.language.iso | en | |
dc.subject | Convolution | |
dc.subject | Image Processing | |
dc.subject | Algorithm | |
dc.subject | Small Parts | |
dc.subject | Effectiveness analysis | |
dc.title | Efficiency of image convolution | |
dc.type | Article | |
dspace.entity.type | Publication |
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