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基于结构聚类和字典学习的多帧图像超分辨率重建

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摘要 提出了一种基于结构聚类和字典学习的超分辨率重建方法,用于多帧或视频图像的高分辨率重建;该方法采用导控核提取图像的局部结构特征,对图像分块进行结构聚类,并通过构建自适应的字典,最终实现稀疏约束重建。给出了实际视频图像的超分辨率重建结果,实验结果验证了本文方法的有效性,且具有较好的重建质量。
出处 《信息通信》 2019年第5期34-35,共2页 Information & Communications
基金 湖北省大学生创新训练项目(编号:201710512048)
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