[1]钱春强 王继成.基于改进约束最小二乘方法的图像复原算法[J].计算机技术与发展,2007,(06):9-11.
　QIAN Chun-qiang,WANG Ji-cheng.An Algorithm of Image Restoration Based on Improved Constrained Least Square Methods[J].,2007,(06):9-11.
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基于改进约束最小二乘方法的图像复原算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年06期
页码:
9-11
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Algorithm of Image Restoration Based on Improved Constrained Least Square Methods
文章编号:
1673-629X（2007）06-0009-03
作者:
钱春强 王继成
同济大学电子与信息工程学院
Author(s):
QIAN Chun-qiang;  WANG Ji-cheng
School of Electronic and Information Engineering, Tongji University
关键词:
退化模型; 图像复原; 约束最小二乘; 信噪比
Keywords:
degradation model;  image restoration;  constrained least squares;  SNR
分类号:
TN911.73
文献标志码:
A
摘要:
约束最小二乘方法（约束最小二乘方滤波器）在图像复原的应用过程中普遍只要求噪声方差和均值的知识,对处理的每一幅图像都能产生最优效果,因而得到了广泛应用。文中提出的图像复原算法就是基于约束最小二乘方法的,并对其进行了改进。通过实验证明,用该改进的图像复原处理方法复原的图像比用维纳滤波方法复原的图像更加平滑,复原图像的信噪比也更大。另一方面,改进的约束最小二乘方法复原的图像比平滑约束最小平方法复原的图像具有更加突出的边缘,而且同样具有更高的信噪比。适当应用该方法,能够体现出维纳滤波和平滑约束最小平方滤波这两种基
Abstract:
Constrained least square methods （constrained least square filters） are wildly used because commonly only little knowledge of noise is needed when they are used in the processing of image restoration, and they can get excellent effects of restoration for every image. The method posed by this article is based on constrained least square methods, hut it is improved. The restored image processed by this method is smoother than that by Wiener filter, and it will have better SNR. On the other hand, the gray - level contrast of image proceeded by this improved method is compared with that of the image processed by the smoothing constrained least square filter, also it will have better SNR. Multiple effects of the two basic constrained least square methods can be got while this method is applied properly

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备注/Memo

备注/Memo:
钱春强（1982-）,男,硕士研究生,研究方向为数字图像和语音处理; 王继成,教授,研究员,研究方向为模式识别与智能系统、数字图像和语音处理
更新日期/Last Update: 1900-01-01