SPACE-VARIANT RECURSIVE RESTORATION OF NOISY IMAGES

被引：12

作者：

DESANTIS, A

GERMANI, A

JETTO, L

机构：

[1] UNIV LAQUILA, DIPARTIMENTO INGN ELETT, I-67100 LAQUILA, ITALY

[2] CNR, INST ANAL SISTEMI & INFORMAT, ROME, ITALY

[3] POLITECN TORINO, DIPARTIMENTO AUTOMAT & INFORMAT, I-10128 TURIN, ITALY

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 1994年 / 41卷 / 04期

关键词：

D O I：

10.1109/82.285704

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new approach to the modelling and filtering problems of nonhomogeneous images is proposed. The main assumption is that the whole image can be modelled by a collection of open subregions where the 2-D signal is regular enough to be well described by a smooth two-dimensional Gaussian process. The boundary points between two adjacent subregions are the image edges which represent sharp discontinuities in the signal distribution. A non-stationary state-space representation with structural information about image edges is then obtained. This allows the model to vary, adapting to the presence of spatial discontinuities. The reported simulation results show high filter performances.

引用

页码：249 / 261

页数：13

共 34 条

[1] NON-LINEAR RESTORATION OF NOISY IMAGES [J].