摘要
提出一种新的图像去噪方法,即根据压缩感知理论,利用变换求出含噪图像的稀疏表示,运用算法重构出原始图像,从而达到去除噪声的目的.实验表明,该方法具有可操作性和可行性.
This paper presents a new image denoising method that applies compressive sensing to image denoising. The idea is that, according to compressive sensing , take the image of noise to sparse representation with transformation and reconstruct the original image with algorithm. The experiment results show that the method is feasible and available.
出处
《北方工业大学学报》
2012年第1期1-3,7,共4页
Journal of North China University of Technology
基金
国家自然基金资助项目(60835003
61170327)
北京市创新团队项目(PHR201007118)
关键词
压缩感知
图像去噪
稀疏表示
小波变换
OMP算法
compressive sensing
image denoising
sparse representation wavelet transform
OMP algorithm
