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Area estimation of look-up table based fixed-point computations on the example of a real-time high dynamic range imaging system

机译:基于查找表的区域估计在实时高动态测距系统的示例上的查找表基础计算

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In many FPGA-based designs, fixed-point computations can be efficiently implemented by look-up tables. However, the precision of these computations has a great influence on the hardware costs. We present two simple models for fast but precise area estimation without synthesis, that can be used for word length optimization. As an example we analyze a lookup table based implementation of a circuit for processing image combination and tone-mapping of high dynamic range (HDR) images. The results can be generalized and be applied to any problem with soft accuracy requirements.
机译:在基于FPGA的设计中,可以通过查找表有效地实现定点计算。然而,这些计算的精度对硬件成本产生了很大的影响。我们在没有合成的情况下为快速但精确的区域估计提供两种简单的模型,可用于字长优化。作为一个示例,我们分析了基于查找表的电路实现,用于处理高动态范围(HDR)图像的图像组合和音调映射。结果可以概括并应用于软精度要求的任何问题。

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