嘉应学院 机构 计算机学院,广东,梅州,514015
纸质出版:2014
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房宜汕. 基于无迹点像素关联分析的图像恢复方法[J]. 微电子学与计算机, 2014, 31(8): 177-180.
FANG Yi-shan. An Image Recovery Method with Analysis of Unscented Pixel Association[J]. 2014, 31(8): 177-180.
房宜汕. 基于无迹点像素关联分析的图像恢复方法[J]. 微电子学与计算机, 2014, 31(8): 177-180. DOI:
FANG Yi-shan. An Image Recovery Method with Analysis of Unscented Pixel Association[J]. 2014, 31(8): 177-180. DOI:
图像的不失真恢复是图像处理领域的难点所在
传统的图像恢复方法采用基于图像信息估计恢复的方法
在图像估计位置采用多角度估计
出现重叠估计问题
造成了图像恢复后痕迹点明显
恢复的图像质量很差.对此提出了一种基于无迹点关联分析的图像恢复方法
将图像中的点分为无迹点和有迹点
对于无迹点
通过多帧图像之间的相关关系进行预测恢复
由于无迹点与有迹点相邻
所以图像点之间含有一定的相关性
通过相关度衡量评判
最终实现图像恢复。采用一组图像进行测试
结果显示
基于无迹点关联的方法
图像可以被很好地恢复
具有很好的应用价值.
No distortion of the image is the difficulty in the field of image processing
the traditional image restoration method based on image information method to estimate the recovery
in the image to estimate position estimation using various angles
overlapping estimation problems
caused the image restoration trace point obviously
after the recovery image quality is poor.Proposes a image restoration method based on no trace point correlation analysis
the points in the image is divided into no trace and tracking
for no trace point
through multiple frames predict the relationship between recovery
because no trace point and adjacent trace point
so the image contains a certain correlation between point
through the correlation measure evaluation
finally realizes the image restoration.Test using a set of images
results show that the method based on point no trace association
the image can be restored by very good
has the very good application value.
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