一种基于FPGA应用于红外图像的去噪方法

A Method of Infrared Image Denoising Based on FPGA

视频图像应用规模越来越大,噪声的存在会影响用户的视觉感官,图像去噪成为图像处理不可或缺的环节。国内外对图像去噪的研究能够应用大多数的场景。针对红外图像应用场景,采用去噪效果好、实时性好、资源占用较少的,能在FPGA运行的去噪算法显得尤为重要。主要介绍一种应用在红外图像的去噪方法。该方法基于常规经典算法,结合行业实际应用,对去噪处理后的图像进行合理锐化,从而达到行业实际应用需求。

With the increasing scale of video image application,the existence of noise will affect the user's visual sense.Image denoising has become an indispensable part of image processing.The research on image denoising at home and abroad can be applied to most scenes.For infrared image application scenarios,it is particularly important to use the denoising algorithm which can run in FPGA with good denoising effect,good real-time performance and less resource occupation.This paper mainly introduces a method of infrared image denoising.This method is based on the conventional classical algorithm,combined with the practical application of the industry,to sharpen the denoised image reasonably,so as to meet the practical application needs of the industry.