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耦合了聚类中心约束项的稀疏表示图像去噪

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摘要 提出了一种聚类中心字典学习方法,挖掘了各相似集或各类间潜在的稀疏性先验知识,构建聚类中心约束项,以增强图像稀疏表示,并联合该项与稀疏误差项,将二者引入于传统的稀疏表示模型,取得了较好得图像去噪效果。
作者 陈晔 高希报
出处 《电子技术与软件工程》 2017年第4期94-95,共2页 ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING
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