确定线性图像恢复中适当的平滑程度:比较

Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI:10.1109/MDSP.1989.97106

N. Fortier, Y. Goussard, G. Demoment

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引用次数: 0

摘要

本文研究了成功应用于一维问题的三种统计方法的二维推广，即:(1)利用残差性质的拉格朗日乘子技术;(2)利用预测误差的普通和广义交叉验证技术;(3)极大似然估计。特别注意了实现问题，并对合成图像和真实图像的方法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Determination of the appropriate degree of smoothing in linear image restoration: a comparison

The extension to 2-D of three statistical methods successfully used in the 1-D problem has been studied, namely: (1) Lagrange multiplier techniques using properties of the residuals; (2) ordinary and generalized cross-validation techniques using prediction errors; and (3) maximum-likelihood estimation. Particular attention has been paid to implementation problems, and the methods have been compared for both synthetic and real images.<>

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Sixth Multidimensional Signal Processing Workshop,

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