A survey of CPU-parallel image compression algorithms
| dc.contributor.author | Li, B. | ru |
| dc.contributor.author | Ma, J. | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2026-01-23T05:56:12Z | |
| dc.date.available | 2026-01-23T05:56:12Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Li, B. A survey of CPU-parallel image compression algorithms / B. Li, J. Ma // Новые горизонты – 2025 : сборник материалов XII Белорусско-китайского молодежного инновационного форума, 27–28 ноября 2025 года / Белорусский национальный технический университет. – Минск : БНТУ, 2025. – Т. 1. – С. 82-83. | ru |
| dc.identifier.uri | https://rep.bntu.by/handle/data/163048 | |
| dc.description.abstract | This survey reviews classical image compression methods for CPU environments, excluding deep learning techniques. It covers pixel-domain predictive coding (DPCM, JPEG-LS), frequency-domain transform coding (JPEG with DCT, JPEG2000 with wavelets), and modern image formats (WebP, HEIF/AVIF, JPEG XL). The focus is on their operating principles, computational complexity, artifacts, and implementation considerations, with trade-offs for different applications. | ru |
| dc.language.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | A survey of CPU-parallel image compression algorithms | ru |
| dc.type | Working Paper | ru |
