| Summary: | In practical applications, it is difficult to make blurred images clear in spatial domain. Therefore, it is necessary to transform the image in frequency domain and implement image deblurring in frequency domain. When using the development platform of FPGA, image processing is realized by pure hardware, which has strong real-time performance, but consumes too much resources and low execution efficiency. In order to solve this problem, this paper proposes a design scheme of combining hardware and software, which uses DE1-SoC development board as hardware platform, configures Frame Reader, SDRAM, mixer, frequency domain conversion module in FPGA, and maps them to HPS. HPS accesses SDARM using HPS-FPGA bus, and obtains the spectrum of blurred image. In HPS, it uses Linux C programming to estimate the scale and angle for blurred image spectrum, namely PSF, and restores it with classical restoration algorithm to realize blind deblurring. The system uses base 2-DIT-FFT to convert the rows and columns of images in frequency domain. Compared with the inherent IP core and general frequency domain conversion module, the system improves the image quality and reduces the consumption of hardware resources.
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