Research on Image Defogging Algorithm based on FPGA
DOI:
https://doi.org/10.54097/etwya450Keywords:
FPGA; Image Dehazing; Dark Channel Prior; Image Processing.Abstract
In recent years, the rapid development of China's industry has brought about environmental pollution problems, especially the frequent occurrence of haze weather across the country, which has had a significant impact on the quality of image shooting. In haze weather, the scattering effect of the atmosphere seriously hinders the visibility of images and the transmission of detailed information. In order to solve this problem, image defogging technology came into being, which plays an important role in the field of image enhancement and restoration. However, as the demand for image clarity increases, software algorithms alone are no longer sufficient to meet current needs. Therefore, image defogging methods that combine hardware and software have become the focus of research. This study uses Xilinx 's Zynq-7020 series FPGA development board, uses Verilog language for program design, and uses Vivado and ModelSim software for program setting and simulation verification. Experimental results show that the image dehazing effect can be effectively improved by combining software and hardware.
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