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Hardware Implementation of the CCSDS 123.0-B-1 Lossless Multispectral and Hyperspectral Image Compression Standard by means of High Level Synthesis Tools

机译:通过高级综合工具对CCSDS 123.0-B-1无损多光谱和高光谱图像压缩标准进行硬件实现

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In this paper, a Field Programmable Gate Array (FPGA) implementation of the CCSDS 123.0-B-1 Lossless Multispectral and Hyperspectral Image Compression Algorithm is presented. This recommended standard provides a tradeoff between compression performance and computational complexity, which makes it suitable for onboard applications. A High-Level Synthesis (HLS) methodology is followed to reduce the implementation time of this complex algorithm in hardware, providing a comparison between two of the main solutions available in the market: Mentor Catapult C and Xilinx Vivado HLS. The final implementation is tested over a Xilinx Zynq-7000 FPGA-based MPSoC. The obtained results show the good features of the HLS solutions compared with a RTL alternative of the standard, in terms of maximum clock frequency and resources utilization, hightlighting the quality of the current HLS tools to obtain the equivalent RTL description.
机译:本文提出了CCSDS 123.0-B-1无损多光谱和高光谱图像压缩算法的现场可编程门阵列(FPGA)实现。该推荐标准在压缩性能和计算复杂度之间进行了折衷,使其适合于车载应用。遵循了高级综合(HLS)方法,以减少此复杂算法在硬件中的实现时间,从而比较了市场上可用的两种主要解决方案:Mentor Catapult C和Xilinx Vivado HLS。最终实现在基于Xilinx Zynq-7000 FPGA的MPSoC上进行了测试。与最大的时钟频率和资源利用率相比,所获得的结果显示了与标准的RTL替代方案相比,HLS解决方案的良好功能,突出了当前HLS工具获得等效RTL描述的质量。

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