解卷积问题的一维和二维情况

S. Zenati, A. Boukrouche
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引用次数: 1

摘要

研究了被线性时不变系统畸变的信号(图像)的反卷积问题。为了正则化这个不适定问题,我们提出了一种方法,该方法结合了与约束和最优滤波相关的反卷积技术以及由Blanc-Feraud和textal提出的周期性方法[1988]。从而表明该方法可以适用于恢复一维或二维信号,而无需使用因果性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deconvolution problem 1D and 2D cases solution
This investigation deals the deconvolution problem of a signal (image) distorted by a linear time-invariant system. In order to regularize this ill-posed problem we propose a method which combines the deconvolution technique associated to a constraint and an optimal filtering with the method of periodicity suggested by Blanc-Feraud and textital.[1988][2]. So as to show that this method can be adapted to restore 1D or 2D signals without ever using the causality property.
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