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Arithmetic codec from behavioral description based LSI-CAD for fully programmable image coding system

机译:基于行为描述的LSI-CAD算术编解码器,用于完全可编程的图像编码系统

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Entropy coding, as used for lossless compression in image coding, is dominated by serial bit processing and recursive conditional branches. Digital signal processors (DSPs), in which pipeline processors play a central role, fail to yield adequate performance for this kind of application. This paper focuses on arithmetic coding in order to design a high speed and fully programmable entropy codec using a high-level behavioral description based LSI-CAD system. The design of the arithmetic encoder and decoder with the hardware description language is detailed as well as the simulations performed on this design. The results concerning the logic synthesis show that this approach attains complete success for practical applications and ensures flexible hardware design involving relatively complicated functions within reasonable time and cost requirements.
机译:用于图像编码中的无损压缩的熵编码主要由串行位处理和递归条件分支支配。数字信号处理器(DSP)(流水线处理器在其中扮演着中心角色)无法为这种应用提供足够的性能。本文着重于算术编码,以便使用基于行为描述的高级LSI-CAD系统设计一种高速且完全可编程的熵编解码器。详细介绍了使用硬件描述语言的算术编码器和解码器的设计,以及在该设计上执行的仿真。有关逻辑综合的结果表明,该方法在实际应用中获得了完全成功,并确保了在合理的时间和成本要求下进行涉及相对复杂功能的灵活硬件设计。

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