| DC Field | Value | Language |
|---|
| dc.contributor.author | Rybenkov, E. V. | - |
| dc.contributor.author | Petrovsky, N. A. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-22T08:18:55Z | - |
| dc.date.available | 2024-02-22T08:18:55Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Rybenkov, E. V. Rate-distortion estimation of 2-D non-separable filter banks based on quaternionic filter banks with JPEG2000 discrete wavelet transforms / E. V. Rybenkov, N. A. Petrovsky // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 287–291. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54319 | - |
| dc.description.abstract | This paper presents the evaluation of lossless-tolossy transforms, such as quaternion algebra based pairwise-mirror-image (PMI) symmetric frequency responses (LP PMIQ-PUFB) filter bank and convenient discrete wavelet transforms used in industrial image compression standards: 5/3 (lossless mode only) and 9/7 (lossy mode only). Generalized image compression framework was developed, which main aim is to provide equal conditions in the terms of quantization and entropy coding. Rate distortion curves were obtained on the PSNR, DSIMM and SSIM metrics, Bjøntegaard delta was computed. Experimental results are provided for test images. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | filter bank | en_US |
| dc.subject | quaternion | en_US |
| dc.subject | discrete wavelet transform | en_US |
| dc.title | Rate-distortion estimation of 2-D non-separable filter banks based on quaternionic filter banks with JPEG2000 discrete wavelet transforms | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
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