The EBCOT coding efficiency becomes the bottleneck in JPEG2000 encoder system.
JPEG2000编码系统中，EBCOT的编码速度已经成为整个系统编码效率的瓶颈。
The EBCOT design USES parallel processing and dynamic memory control (DMC) architecture, which greatly speeds up the coding process and achieves higher hardware utilization.
EBCOT采用的并行运算和动态内存控制(DMC)结构，在保证编码速度的前提下，最大限度减小了片内小波系数缓存量和访问频率。
The image coding and compression technologies based on the JPEG2000 standard is studied in this article, which focus on region-of-interest (ROI) compression and EBCOT optimization algorithm.
本文主要基于JPEG2000标准来研究图像编码和压缩相关技术，其重点是感兴趣区域（ROI）的压缩和EBCOT算法的优化。
After analyzing classic embedded coding algorithms such as EZW, SPIHT and EBCOT, it is shown that EBCOT is easier to accelerate with hardware and has better image compression performance.
分析了典型的嵌入式编码算法，如ezw、SPIHT和EBCOT，认为EBCOT相对易于实现硬件加速，且具有较好的压缩性能。
As an important part of JPEG2000, EBCOT algorithm performs the scanning 3 times in each bit plane and codes all coefficients in 3 coding passes, wasting lots of operation time.
EBCOT是JPEG2000系统中占运算时间最多的组成部分，它对每个位平面进行三次扫描、进行三个编码通道的编码操作，浪费了大量的运算时间。
After the detailed analysis of EBCOT algorithm and pass-parallel coding technique, a dual context window bit-parallel coding method and its architecture for hardware implementation are proposed.
通过研究EBCOT编码原理和通道并行算法的编码过程，提出了双上下文窗口位并行的EBCOT系数位建模方法，详细说明了使用该算法的系数位建模系统的硬件结构。
After the detailed analysis of EBCOT algorithm and pass-parallel coding technique, a dual context window bit-parallel coding method and its architecture for hardware implementation are proposed.
通过研究EBCOT编码原理和通道并行算法的编码过程，提出了双上下文窗口位并行的EBCOT系数位建模方法，详细说明了使用该算法的系数位建模系统的硬件结构。
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