哈尔滨商业大学学报（自然科学版）2017，Vol.33Issue(1)：85-88,4.
基于边缘增强和稀疏表示的图像混合去噪算法
Image mixed denoising based on edge enhance and sparse representation
摘要
Abstract
Sparse representation and nonlocal self-similarity play an important role and show better results in image denoising.This paper solved the mixed noise which included Gauss noise and salt-and-pepper noise.How to better retain the edge information is a very im-portant issue in the process of denoising.And proposed the algorithm which combines sparse representation, nonlocal self-similarity and Sobel operator.The experimental results showed that the proposed algorithm was effective and could preserve the edge information.It provid-ed an effective method to remove the mixed noise in the image.关键词
混合噪声/稀疏表示/非局部相似性/Sobel算子Key words
mixed noise/sparse representation/nonlocal self-similarity/Sobel operator分类
信息技术与安全科学引用本文复制引用
王倩..基于边缘增强和稀疏表示的图像混合去噪算法[J].哈尔滨商业大学学报（自然科学版）,2017,33(1):85-88,4.
