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Design of Real-time Haze Image Restoration System Based on FPGA Technology

机译:基于FPGA技术的实时雾度图像恢复系统设计。

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摘要

With the development of science and technology, the outdoor image acquisition system has been widely used in various sectors of the national economy, such as transport, agriculture and aerospace. But by the impact of inclement weather, the image quality will be a serious decline. Therefore, the defog processing of digitized images is one of the research focus in recent years. The traditional approach is to upload the image data to the host computer and then process the image on software platform. Since it is difficult to achieve real-time processing by this method, portability and mobility of the platform is too weak, we present a FPGA-based image defogging system. The system includes algorithm and hardware platform. The algorithm is based on fog degradation model and has been optimized and streamlined for FPGA platform. The hardware part using D5M provided by Terasic to acquire the image, using DE2-70 provided by Altera to process the image and using LTM provided by Terasic to display the result. Experimental results show that this system has achieved real-time processing and has also met the design requirements of de-fog effects.
机译:随着科学技术的发展,户外图像采集系统已广泛应用于国民经济的各个领域,例如交通,农业和航空航天。但是受恶劣天气的影响,图像质量将严重下降。因此,数字图像的除雾处理是近年来的研究重点之一。传统方法是将图像数据上传到主机,然后在软件平台上处理图像。由于这种方法难以实现实时处理,平台的可移植性和移动性太弱,我们提出了一种基于FPGA的图像除雾系统。该系统包括算法和硬件平台。该算法基于雾降级模型,并针对FPGA平台进行了优化和简化。硬件部分使用Terasic提供的D5M来获取图像,使用Altera提供的DE2-70处理图像,并使用Terasic提供的LTM显示结果。实验结果表明,该系统已经实现了实时处理,还满足了除雾效果的设计要求。

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