计算机与数字工程Issue(6)：1071-1074,4.DOI:10.3969/j.issn1672-9722.2014.06.037
基于改进的字典学习算法的图像去噪方法
Image Denoising Method Based on Modified Dictionary Learning Algorithm
谢勤岚 1丁晶晶1
作者信息
- 1. 中南民族大学生物医学工程学院 武汉 430074
- 折叠
摘要
Abstract
Two improvements of the MOD and K-SVD dictionary learning algorithms are proposed by modifying two main parts of these algorithms :the dictionary update and the sparse coding stages .A new dictionary-update stage is used to find both the dictionary and the representations while keeping the supports intact .According to the previous sparse-coding , it suggests to update the known representations .These two ideas are tested in practice and show how they lead to faster training and better quality outcome .Experimental results prove the effectiveness of the proposed method .关键词
稀疏表示/字典学习/MOD/K-SVD/图像去噪Key words
sparse representation/dictionary learning algorithms/MOD/K-SVD/image denoising分类
信息技术与安全科学引用本文复制引用
谢勤岚,丁晶晶..基于改进的字典学习算法的图像去噪方法[J].计算机与数字工程,2014,(6):1071-1074,4.
