Lowlevelimageprocessing is the base of localization. The paper discusses time domain filtering and frequency domain filtering according to the noise disturbance in the surrounding images.
The velocity of imageprocessing is accelerated due to the introduction of FPGA, which can finish the lowlevel algorithm, and the performance of sensor is improved.
由于采用FPGA实现底层图像处理算法，加速了图像处理速度，提高了传感器的性能。
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In the end the thesis analyzes the noise model of the image in low-light-level environment and experiment with some typical imageprocessing algorithm on the DSP.