光学技术, 2012, 38 (1): 23, 网络出版: 2012-04-20   

基于K-SVD和残差比的低信噪比图像稀疏表示去噪算法

Low SNR image denoising via sparse and redundant representations over K-SVD algorithm and residual ratio iteration termination
作者单位
重庆大学 自动化学院, 重庆 400044
引用该论文

张晓阳, 柴毅, 李华锋. 基于K-SVD和残差比的低信噪比图像稀疏表示去噪算法[J]. 光学技术, 2012, 38(1): 23.

ZHANG Xiaoyang, CHAI Yi, LI Huafeng. Low SNR image denoising via sparse and redundant representations over K-SVD algorithm and residual ratio iteration termination[J]. Optical Technique, 2012, 38(1): 23.

参考文献

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张晓阳, 柴毅, 李华锋. 基于K-SVD和残差比的低信噪比图像稀疏表示去噪算法[J]. 光学技术, 2012, 38(1): 23. ZHANG Xiaoyang, CHAI Yi, LI Huafeng. Low SNR image denoising via sparse and redundant representations over K-SVD algorithm and residual ratio iteration termination[J]. Optical Technique, 2012, 38(1): 23.

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