面向机载航天计算的OPIR视频预处理与压缩

2017 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2017-06-01 DOI:10.1109/NAECON.2017.8268759

Eric Shea, Alan D. George

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引用次数: 2

摘要

提高新型图像传感器的位深度对资源有限的机载处理器提出了许多挑战。本文提供了新的结果、分析和见解，以及我们在嵌入式处理器(包括Xilinx Zynq-7020和Amlogic S905)上对顶置持久红外(OPIR)图像传感器进行压缩预处理的新方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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OPIR video preprocessing and compression for on-board aerospace computing

Increasing bit-depth of new image sensors presents many challenges on resource-limited, on-board processors in aerospace. This paper provides new results, analysis, and insight with our novel methods for preprocessing with compression of an Overhead Persistent InfraRed (OPIR) image sensor on embedded processors including Xilinx Zynq-7020 and Amlogic S905.

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2017 IEEE National Aerospace and Electronics Conference (NAECON)

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