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首页> 外文期刊>International Journal of Image Processing >Performance Improvement of Vector Quantization with Bit-parallelism Hardware
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Performance Improvement of Vector Quantization with Bit-parallelism Hardware

机译:使用位并行硬件提高矢量量化的性能

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摘要

Vector quantization is an elementary technique for image compression; however, searching for the nearest codeword in a codebook is time-consuming. In this work, we propose a hardware-based scheme by adopting bit-parallelism to prune unnecessary codewords. The new scheme uses a “Bit-mapped Look-up Table” to represent the positional information of the codewords. The lookup procedure can simply refer to the bitmaps to find the candidate codewords. Our simulation results further confirm the effectiveness of the proposed scheme.
机译:矢量量化是图像压缩的基本技术。但是,在码本中搜索最接近的码字很费时。在这项工作中,我们通过采用比特并行性来修剪不必要的代码字,提出了一种基于硬件的方案。新方案使用“位图查找表”来表示码字的位置信息。查找过程可以简单地参考位图以找到候选码字。我们的仿真结果进一步证实了该方案的有效性。

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