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Low bit rate image compression core for onboard space applications

机译:适用于机载空间应用的低比特率图像压缩核心

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This paper presents low-cost, purpose optimized discrete wavelet transform-based image compressors for future spacecrafts and microsatellites. The hardware solution proposed here exploits a modified set partitioning in hierarchical trees algorithm and ensures that appropriate reconstructed image qualities can be achieved also for compression ratios over 100:1. Several implementations are presented varying the parallelism level and the tile size. Obtained results demonstrate that, using a parallel implementation operating on a 64 /spl times/ 64 size tile, a maximum data rate of about 18 Mpixels/s can be sustained. In this case, only 4500 slices and 24 BlockRAMs of a XILINX Virtex II device are required.
机译:本文提出了针对未来航天器和微卫星的低成本,目的优化的,基于离散小波变换的优化图像压缩器。此处提出的硬件解决方案在分层树算法中采用了改进的集划分,并确保即使压缩比超过100:1,也可以实现适当的重构图像质量。提出了几种实现方式,可改变并行度和切片大小。获得的结果表明,使用在64 / spl倍/ 64大小的tile上运行的并行实现,可以维持约18 Mpixels / s的最大数据速率。在这种情况下,仅需要XILINX Virtex II器件的4500个片和24个BlockRAM。

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