丁家隆, 杜慧敏, 曹广界, 王鹏超, 杜琴琴. 基于最优移位双线性插值的图像缩放旋转硬件加速研究[J]. 微电子学与计算机, 2016, 33(7): 115-120, 124.
引用本文: 丁家隆, 杜慧敏, 曹广界, 王鹏超, 杜琴琴. 基于最优移位双线性插值的图像缩放旋转硬件加速研究[J]. 微电子学与计算机, 2016, 33(7): 115-120, 124.
DING Jia-long, DU Hui-min, CAO Guang-jie, WANG Peng-chao, DU Qin-qin. The Hardware Acceleration Research of Image Zooming and Rotation Based on The Opt-shifting Bilinear Interpolation[J]. Microelectronics & Computer, 2016, 33(7): 115-120, 124.
Citation: DING Jia-long, DU Hui-min, CAO Guang-jie, WANG Peng-chao, DU Qin-qin. The Hardware Acceleration Research of Image Zooming and Rotation Based on The Opt-shifting Bilinear Interpolation[J]. Microelectronics & Computer, 2016, 33(7): 115-120, 124.

基于最优移位双线性插值的图像缩放旋转硬件加速研究

The Hardware Acceleration Research of Image Zooming and Rotation Based on The Opt-shifting Bilinear Interpolation

  • 摘要: 针对最优双线性插值算法进行精度优化, 采用ARM A9处理器软件定点实现比浮点提高13.5倍处理速度.并提出一种高效的硬件实现结构, 在Xilinx Zedboard开发板上验证了该结构, 实验结果表明: 在典型情况下可以比ARM A9软件定点实现提高9倍速度.

     

    Abstract: The paper optimize the accuracy of the opt-shifting bilinear interpolation.Implementation uses the ARM A9 processor software fixed-point implementation than 13.5times floating point processing speed.Then the paper puts forward a highly efficient hardware implementation structure and implemented on Xilinx Zedboard.The experimental results show that in typical cases: hardware can 9times faster than implementation by the ARM A9 software fixed-point.

     

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