红外加噪图像滤波算法研究

北京理工大学珠海学院2020届本科生毕业设计The research on Infrared Noise Image Filtering AlgorithmAbstractWith the continuous development of scientific technology,people are no longer satisfied withperceiving information through visual,tactile and auditory senses,they also prefer to store,analysis and processing information through computers.Among them,infrared imagingprocessing technology,as a hot research topic in image processing,is widely used inimportant fields such as medical detection,military communications,and geologicalexploration.Compared with visible light,infrared images have disadvantages such as poorresolution,low contrast and signal-to-noise ratio,and blurred image edges,which have anegative impact on subsequent target detection and tracking.It is essential to denoise theinfrared images.Therefore,research on filtering algorithms for infrared noise-enhancingimages was carried out in order to improve the image quality in infrared imaging systems.This design mainly studies five kinds of infrared image denoising filtering algorithms,whichare average filtering algorithm,weighted average filtering algorithm,median filteringalgorithm,frequency domain filtering algorithm and wavelet algorithm.Through analyzingand studying the characteristics of infrared noisy image,the noise reduction of infrared noisyimage is processed by using the above noise reduction algorithms,and the noise reductionresults of each algorithm are compared,to find the optimal algorithm of infrared denoisingimage filtering.Keywords:Infrared Noise Image;Image denoising;Filtering;Algorithm;