火力与指挥控制2018，Vol.43Issue(6)：11-15,20,6.DOI:10.3969/j.issn.1002-0640.2018.06.002
基于压缩感知的无人机图像组合去噪方法
Combined Denoising Method Based on Compressed Sensing for Unmanned Aerial Vehicles
摘要
Abstract
Aiming at the multiple types of noise jamming in unmanned aerial vehicles (UAV) images,a hybrid image denoising method based on compression sensing is proposed. Firstly,the moving window is used to smooth the impulse noise in the noisy image,and the sparseness of the image is removed. Then,the initial denoising image is sparsely expressed and measured by Gaussian observation matrix,then reconstructed by orthogonal matching pursuit algorithm. Experimental results show that the proposed algorithm improves the denoising effect of Impulse noise and improves the PSNR of the denoised image and the visual effect.关键词
压缩感知/平滑处理/稀疏表示/正交匹配追踪算法Key words
compressed sensing/smoothing/sparse representation/orthogonal matching pursuit algorithm分类
信息技术与安全科学引用本文复制引用
沈晨,张旻..基于压缩感知的无人机图像组合去噪方法[J].火力与指挥控制,2018,43(6):11-15,20,6.基金项目
国家自然科学基金(61171170) （61171170）
国防科技重点实验室基金资助项目(9140C130502140C13068) （9140C130502140C13068）
