Abstract
This work presents a parallel context-modeling coding architecture and a matching arithmetic coder (MQ-coder) for the embedded block coding (EBCOT) unit of the JPEG2000 encoder. Tier-1 of the EBCOT consumes most of the computation time in a JPEG2000 encoding system. The proposed parallel architecture can increase the throughput rate of the context modeling. To match the high throughput rate of the parallel context-modeling architecture, an efficient pipelined architecture for context-based adaptive arithmetic encoder is proposed. This encoder of JPEG2000 can work at 180 MHz to encode one symbol each cycle. Compared with the previous context-modeling architectures, our parallel architectures can improve the throughput rate up to 25%.
Highlights
The newest international standard of JPEG2000 (ISO/IEC 15444-1) [1,2,3,4] was proposed in December 2000
This paper proposes a parallel context-modeling scheme based on the pass-parallel context modeling (PPCM) technique to generate several CX-D data each cycle, and a matched pipelined MQ-coder is designed to accomplish a high-performance Tier-1 coder
Since the embedded block coding with optimized truncation (EBCOT) encoder takes most of the computation time, our proposed parallel context-modeling architecture can further be applied to the multirate approach [14] to reduce the power consumption
Summary
The newest international standard of JPEG2000 (ISO/IEC 15444-1) [1,2,3,4] was proposed in December 2000. Chiang et al proposed another approach to increase the speed of computation and reduce the memory requirement for EBCOT [12]. They use pass-parallel context modeling (PPCM) technique for the EBCOT entropy encoder. This paper proposes a parallel context-modeling scheme based on the PPCM technique to generate several CX-D data each cycle, and a matched pipelined MQ-coder is designed to accomplish a high-performance Tier-1 coder. Since the EBCOT encoder takes most of the computation time, our proposed parallel context-modeling architecture can further be applied to the multirate approach [14] to reduce the power consumption.
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