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基于非噪声像素重构的PK-SVD脉冲噪声滤波*

, PP. 977-984

Keywords: 脉冲噪声滤波,非噪声像素重构,K-SVD,分层OMP,字典训练

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Abstract:

提出一种基于非噪声像素重构的K-SVD(PixelK-SVD)脉冲噪声滤波方法.在图像重构阶段,以非噪声点像素值为优化目标,利用分层重构改进OMP算法求解优化函数,获得重构图像以提高恢复图像质量;在字典训练阶段,PK-SVD不再固定原子的系数,而是使用重复奇异值分解同时更新原子和系数.将PK-SVD与其他3种方法进行比较,实验结果表明,PK-SVD能得到最稀疏化的字典,较好地抑制脉冲噪声,使得滤波图像较清晰且具有较高的峰值信噪比.

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