Image compression by nonlinear principal component analysis

被引：0
|
作者：
Yoshioka, M
Omatu, S
机构：
来源：
ETFA '96 - 1996 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, VOLS 1 AND 2 | 1996年
关键词：
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：
In recent years, many methods for image compression have proposed, especially, JPEG and MPEG have achieved high compression ratio, while these can not restore images completely. In these methods, image data are reduced in spatial frequency domain according to human eye property. In this study, we have developed a new method to reduce image data especially in noises of image using a neural network. An advantage of this method is to preserve the quality of image by reducing the noise which is independent of original image data.
引用
收藏
页码：704 / 706
页数：3
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