一种基于FPGA的图像清晰度算法研究OACSTPCD
Research on image clarity algorithm based on FPGA
为了能够对视频图像进行实时清晰度评价,基于Xilinx A-7型号FPGA芯片设计且实现了 一种新的图像清晰度算法.首先,采用状态机设计OTSU算法计算图像的 自适应阈值以分离边缘,然后应用并行处理和流水线实现改进的4方向Tenengrad梯度函数计算清晰度.实验结果表明,该设计可以在约66 ms内对640×480@30 fps格式视频图像清晰度进行评价,具有一定的灵敏度.
In order to evaluate the real-time clarity of video images,a new image clarity algorithm is designed and implemented on Xilinx A-7 FPGA chip.Firstly,a state machine design OTSU algorithm is used to calculate the adaptive threshold of the image to separate ed-ges.Secondly,parallel processing and pipeline implementation are applied to improve the computational clarity of the 4-direction Tenen-grad gradient function.The experiment results indicate that the design can complete 640X480@30 fps evaluation of the clarity of video stream images in 66 ms,with a certain degree of sensitivity.
段哲一;李天冉;李守业;杨志荣;胡茂海
南京理工大学电子工程与光电技术学院,南京 210000
计算机与自动化
实时图像清晰度评价FPGAOTSUxc7A35TFTG256
real-time evaluation of image clarityFPGAOTSUxc7A35TFTG256
《集成电路与嵌入式系统》 2024 (004)
51-56 / 6
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