HYPERGRAPH-BASED IMAGE PROCESSING

被引：0
|
作者：
Zhang, Songyang [1 ]
Cui, Shuguang [2 ]
Ding, Zhi [1 ]
机构：
[1] Univ Calif Davis, Davis, CA 95616 USA
[2] Chinese Univ Hong Kong, Shenzhen, Peoples R China
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2020年
基金：
美国国家科学基金会;
关键词：
Image processing; hypergraph signal processing; convolution; stationary process;
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Learning and processing of signals over hypergraph models have gained substantial traction owing to the ability of hypergraphs in characterizing multilateral interactions. In this work, we explore hypergraph spectral analysis and provide alternative definitions of frequency domain operations that are practically useful in image processing. We analyze hypergraph spectral properties and present several application examples, including compression, edge detection and segmentation. Successful experiment results demonstrate the effectiveness and the future prospect of the proposed hypergraph frequency operations in image processing.
引用
收藏
页码：216 / 220
页数：5
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