IMAGE-RESTORATION WITH SIGNAL DEPENDENT NOISE AND BLUR

被引：0
|
作者：
KONDO, H
MAKINO, Y
HIRAI, H
机构：
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 1992年 / E75A卷 / 09期
关键词：
IMAGE RESTORATION; SIGNAL DEPENDENT NOISE; BLURRED IMAGE; CONSTRAINED DECONVOLUTION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new image restoration filter based upon a physical model of an image degradation is constructed. By means of this filter, signal dependent noise and blur can be suppressed. In particular, image degradation noise can be modeled in generalized. form. Noise suppression and deblurring are performed separately. This filter has additional applications when used in conjunction with the degradation model, such as real photographic images and photoelectronic images. Simulation results show that this filter gives a superior performance in restoring an image degraded by signal dependent noise and blur.
引用
收藏
页码：1110 / 1115
页数：6
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