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Since imaging processing tasks can consume major CPU resources in machine vision applications, increasing processing performance within size constraints is, accordingly, a common challenge for solution providers. The following discusses the efficacy of FPGA in addressing such performance shortcomings, presents the image processing tasks most suitable for FPGA, and compares the capabilities of CPU and FPGA in operation. A built -in FPGA image preprocessing solution supporting machine vision app lications is then presented.

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