期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：300
期号：2
页码：1-6
DOI：10.1088/1755-1315/300/2/022091
出版社：IOP Publishing
摘要：Super resolution reconstruction is a feasible technique to improve the image resolution without changing the existing infrared detection equipment. The original image usually contains noise, the traditional regularized super resolution method has the contradiction between restraining noise diffusion and protecting image details in the process of image reconstruction. In order to reduce the loss of reconstructed image information caused by noise suppression in the reconstruction process, this paper studied the reason of noise diffusion in original sequence image through image reconstruction model, proposed a method based on Lee's regularized method using Huber Markov random field as prior model in image reconstruction process, Experiment results show that the proposed method improved the images obtained by the infrared detection system, is superior to traditional method and Lee method in subjective visual and objective indicators, can meet the practical detection requirements.
