High throughput VLSI design for real-time JPEG 2000 embedded block coding
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| Publicado en: | Journal of Real-Time Image Processing vol. 22, no. 1 (Jan 2025), p. 36 |
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| Publicado: |
Springer Nature B.V.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 022 | |a 1861-8200 | ||
| 022 | |a 1861-8219 | ||
| 024 | 7 | |a 10.1007/s11554-024-01612-8 |2 doi | |
| 035 | |a 3151297301 | ||
| 045 | 2 | |b d20250101 |b d20250131 | |
| 245 | 1 | |a High throughput VLSI design for real-time JPEG 2000 embedded block coding | |
| 260 | |b Springer Nature B.V. |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The Embedded Block Coding with Optimal Truncation (EBCOT) Tier-1 process is a critical component of the Joint Photographic Experts Group 2000 (JPEG2000) framework, significantly influencing throughput in hardware encoders. This paper presents an optimized hardware architecture for a high-performance EBCOT Tier-1 encoder, based on parallel code-block processing. The design features simultaneous bit-plane coding via three parallel channels, along with concurrent arithmetic coding enabled by six context-generating units. To overcome the throughput bottleneck of conventional designs, we introduce a novel multiplexing strategy for the Multiple Quantization coder. Our encoder achieves a throughput of 2782 Mb/s, a 7.3 times improvement over existing implementations, making it well-suited for high-speed JPEG2000 applications. The proposed architecture, when applied to the JPEG2000 encoding system, significantly enhances the circuit performance of the overall encoder on both Field Programmable Gate Array and Application Specific Integrated Circuit platforms. This provides a novel approach to architecture optimization. When processing 512 ×<inline-graphic specific-use="web" mime-subtype="GIF" xlink:href="11554_2024_1612_Article_IEq1.gif" /> 512 size grayscale map, the processing speed can reach more than 160 Frames Per Second, which can well meet the real-time requirements of edge device applications. | |
| 653 | |a Image compression | ||
| 653 | |a Wavelet transforms | ||
| 653 | |a Hardware | ||
| 653 | |a Frames per second | ||
| 653 | |a Block codes | ||
| 653 | |a Optimization | ||
| 653 | |a Multiplexing | ||
| 653 | |a Decomposition | ||
| 653 | |a Arithmetic coding | ||
| 653 | |a Field programmable gate arrays | ||
| 653 | |a Real time | ||
| 653 | |a Critical components | ||
| 653 | |a Application specific integrated circuits | ||
| 653 | |a Efficiency | ||
| 773 | 0 | |t Journal of Real-Time Image Processing |g vol. 22, no. 1 (Jan 2025), p. 36 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3151297301/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3151297301/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3151297301/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |