无线电通信技术2017，Vol.43Issue(2)：25-28,37,5.DOI:10.3969/j.issn.1003-3114.2017.02.06
一种基于压缩感知的斑点噪声去除算法
A Speckle Denoising Method Based on Compressed Sensing
摘要
Abstract
Due to the bad channel environment and poor image sampling equipment,images are often contaminated by noise in the process of collection,transmission and processing.Speckle noise,which is difficult and complex to eliminate,is one of the common noise appearing in image processing.Considering that traditional denoising methods do not work satisfactorily in speckle noise reduction,a speckle denoising method based on compressed sensing is proposed,which combines the CS theory and DIP(Digital Image Processing).The first step is to set up the speckle noise model,then the denoising model is established according to the CS theory and the corresponding optimization problem is raised.This problem is divided into three parts:the sparse representation stage,the dictionary updating stage and the image restoration stage.A modified OMP(Orthogonal Matching Pursuit) method and an improved K-SVD method are used to solve these problems and get the denoised image.At last,simulations are conducted to compare the CS method and traditional methods.It is shown that the CS-based speckle denoising method performs well in PSNR and can significantly enhance the visual quality of the image.关键词
压缩感知/图像去噪/OMP/K-SVDKey words
compressed sensing/image denoising/OMP/K-SVD分类
信息技术与安全科学引用本文复制引用
周若飞,王钢..一种基于压缩感知的斑点噪声去除算法[J].无线电通信技术,2017,43(2):25-28,37,5.基金项目
国家自然科学基金项目(61671184 （）
61401120) （）
国家科技重大专项(2015ZX03001041) （2015ZX03001041）
