Degraded image acquisition and restoration by partial projection filter

被引：0

作者：

Syed, AA ^{[1
]}

Ogawa, H ^{[1
]}

机构：

[1] Tokyo Inst Technol, Dept Comp Sci, Ogawa Lab, Meguro Ku, Tokyo 1528552, Japan

来源：

Proceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing | 2004年

关键词：

restoration model; image acquisition; image restoration; noise suppression;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Conventionally the problem of degraded image restoration has been considered from the point of view the of observation space noise only and any degradation of image is modelled as the observation space noise. However, the noise inherently present in the degraded images, irrespective of the observation process, can not be accurately modelled under this assumption. Such a noise is called the signal space noise. In this paper, we present an image restoration model which also incorporates the acquisition of noisy continuous images. A restoration filter, namely, the partial projection filter, is obtained which gives an optimal restoration of the original image in the presence of both the signal space and observation space noises.

引用

页码：523 / 528

页数：6

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