Image restoration by spatial clustering

被引：0
作者：
Shingai, H
Matsunaga, H
Urahama, K
机构：
[1] Kyushu Inst of Design, Fukuoka, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 1996年 / E79D卷 / 07期
关键词：
image restoration; spatial clustering; sparse data;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method based on clustering is presented for restoring and segmenting gray scale images. An optimum clustering obtained by a gradient method gives an image with gray scale values which vary smoothly in each segmented region. The method is also applied to restoration from sparsely sampled data.
引用
收藏
页码：1000 / 1003
页数：4
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