Joint image algorithm method in space and frequency domain

被引：0
|
作者：
Li, Xinxin [1 ]
Xu, Boqing [1 ]
Zhang, Xin [1 ]
机构：
[1] Institute of Optics and Electronic Information Engineering, University for Shanghai of Science and Technology, Shanghai 200093, China
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2006年 / 27卷 / SUPPL.期
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学科分类号：
摘要：
According to the characteristics of image degradation model, a joint .image restoration algorithm in space and frequency domain is presented. First, we remove the noise of the degraded image in space domain. Then an improved image restoration method is presented based on the constrained least squares filter. The experiments show that this method can not only remove the noise, but also minimize the ringing, and has a good vision effect.
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页码：2157 / 2159
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