VQ based Bayesian image filtering

被引：0

作者：

Graña, M ^{[1
]}

Echave, I ^{[1
]}

Ruiz-Cabello, J ^{[1
]}

机构：

[1] Univ Basque Country, EHU, Dept CCIA, E-48080 Bilbao, Spain

来源：

2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ICIP.2000.899446

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose the application of the vector quantizers computed over an image for its own filtering. Each pixel processing is conditioned to its neighborhood and the neighborhood's closest codevector. The codevectors play the role of conditional context in a Bayesian image processing framework. The approach is applied to high resolution MRI. The visual results show that this approach produces an image smoothing with good edge preservation, although no edge model is introduced.

引用

页码：451 / 454

页数：4

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