CHEN Yan, YUAN Guo-Shun, LIU Xiao-Qiang. The Design of Video Processing System Based on NEON Optimization Technique[J]. Microelectronics & Computer, 2018, 35(7): 62-66.
Citation: CHEN Yan, YUAN Guo-Shun, LIU Xiao-Qiang. The Design of Video Processing System Based on NEON Optimization Technique[J]. Microelectronics & Computer, 2018, 35(7): 62-66.

The Design of Video Processing System Based on NEON Optimization Technique

  • Aimed at ARM-based embedded image processing, the ARM Cortex-A series of processors are integrated the NEON coprocessor engine which is based on the SIMD instruction architecture, enabling an instruction to parallelize multiple data simultaneously, which can accelerate multimedia and signaling processing algorithms (such as video codecs, image processing techniques) effectively. In this paper, we design a video processing system based on FPGA, which can make full use of NEON technology to optimize the Sobel algorithm, compared with the way of ordinary software method to implement the algorithm, the results show that NEON technology accelerates image processing significantly, decoded the video more fluent.
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