Approximate Computing based on Latest-result Reuse for Image Edge Detection

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外文摘要：This paper describes a memo-table-free approximate computing technique for an image edge detector to reuse the computed result only in the closest past。 Decision of reuse is made based on tolerance-level controllable similarity checking for two consecutive 3x3 input pixels。 We designed and implemented the proposed approximate edge detector in an FPGA and evaluated with 6 benchmark images。 Results have demonstrated that by controlling the tolerance level the execution time is reduced by 15% and the energy dissipation is saved by 3-12% compared with the precise computation at acceptable quality in edge detected images。

外文关键词：

Image edge detectionDetectorsRegistersApproximate computingBenchmark testingDegradationField programmable gate arrays

作者：

Kimiyoshi Usami、Hajime Ochi、Yoshinori Ono

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作者单位：

Shibaura Institute of Technology,Department of Computer Science and Engineering,Tokyo,Japan,135-8548

Shibaura Institute of Technology,Graduate School of Engineering and Science,Tokyo,Japan,135-8548

会议名称：

International Technical Conference on Circuits/Systems, Computers and Communications

会议地点：

Nagoya(JP)

会议母体文献：

2020 35th International Technical Conference on Circuits/Systems, Computers and Communications

页码：

234-239

出版时间：

2020