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Optical and electro-optical architectures for the compression and encryption of discrete signals and imagery: 3. Optical computation over compressed data

机译:用于离散信号和图像的压缩和加密的光学和光电结构:3.压缩数据的光学计算

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Abstract: Due to a reduced space requirement, the output of compressive transformations can generally be processed with fewer operations than are required to process uncompressed data. Since 1992, we have published theory that unifies the processing compressed and/or encrypted imagery, and have demonstrated significant computational speedup in the case of compressive processing, In this paper, the third of a series, we extend our previously reported work in optical processor design based on image algebra to include the design of optical processors that compute over compressed data. Parts 1 and 2 describe optical architectures that are designed to produce compressed or encrypted imagery. !43
机译:摘要:由于减少了空间需求,压缩转换的输出通常可以比处理未压缩数据所需的操作更少的操作来处理。自1992年以来,我们发表了统一处理压缩和/或加密图像的理论,并在压缩处理的情况下证明了显着的计算速度。在本系列文章的第三篇中,我们扩展了先前报道的光学处理器工作基于图像代数的设计,其中包括对压缩数据进行计算的光学处理器的设计。第1部分和第2部分描述了旨在生成压缩或加密图像的光学体系结构。 !43

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