| DC Field | Value | Language |
|---|
| dc.contributor.author | Zeng, P. | - |
| dc.contributor.author | Wang, Y. | - |
| dc.contributor.author | Wei, Z. J. | - |
| dc.contributor.author | Tsvetkov, V. Yu. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-07-26T09:13:18Z | - |
| dc.date.available | 2024-07-26T09:13:18Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Image compression method based on wavelet transform / P. Zeng [et al.] // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, апрель 2024 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. Ю. Цветков [и др.]. – Минск, 2024. – С. 58–62. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/56717 | - |
| dc.description.abstract | In many algorithms for image compression, the SPIHT and SPECK algorithms based on
wavelet transform have good performance. This article introduces the basic principles of wavelet
transform, and implements the SPHIT and SPECK image compression algorithms based on wavelet
transform. Besides, the two algorithms are compared, and experimental results and experimental
conclusions are given in conclusion. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | wavelet | en_US |
| dc.subject | image compression | en_US |
| dc.subject | SPECK | en_US |
| dc.subject | SPIHT | en_US |
| dc.title | Image compression method based on wavelet transform | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2024)
|
