计算机应用研究2011，Vol.28Issue(8)：3192-3194,3197,4.DOI:10.3969/j.issn.1001-3695.2011.08.109
一种非零元个数约束的字典学习图像去噪算法
Image denoising algorithm of dictionary learning restricted by nonzeros number
摘要
Abstract
This paper presented a image denoising algorithm based on dictionary learning. It implemented dictionary learning by substituting error restriction for nonzeros number restriction on the base of K-SVD method. By analyzing effection on peak signal-to-noise ratio of denoising with different nonzeros number, it proposed implementing dictionary learning by using different number nonzero respectively for low-noise image and high-noise image to obtain sparsity represetation of image and restore original image. The results show that,comparing to the wavelet soft-threshold denoising method, our method has better ability of denoising under the premise of keeping the information of image edge and detail and has better vision effection.关键词
图像去噪/字典学习/稀疏表示/K-SVD/非零元个数Key words
image denoising/ dictionary learning/ sparse representation/ K-SVD/ nonzeros number分类
信息技术与安全科学引用本文复制引用
段新涛,岳冬利..一种非零元个数约束的字典学习图像去噪算法[J].计算机应用研究,2011,28(8):3192-3194,3197,4.基金项目
河南省教育厅自然科学研究计划资资项目(2010A520025) （2010A520025）
河南省重点科技攻关计划资助项目(102102210409.102102210176) （102102210409.102102210176）
河南师范大学青年基全资助项目(2007038) （2007038）
