Vector directional filters - A new class of multichannel image processing filters

被引：247
|
作者：
Trahanias, P. E. [1 ]
Venetsanopoulos, A. N. [1 ]
机构：
[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 1A4, Canada
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1993年 / 2卷 / 04期
关键词：
D O I：
10.1109/83.242362
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Vector directional filters (VDF) for multichannel image processing are introduced and studied in this paper. These filters separate the processing of vector-valued signals into directional processing and magnitude processing. This provides a link between single-channel image processing, where only magnitude processing is essentially performed, and multichannel image processing where both the direction and the magnitude of the image vectors play an important role in the resulting (processed) image. VDF find applications in satellite image data processing, color image processing, and multispectral biomedical image processing. In this paper, results are presented for the case of color images, as an important example of multichannel image processing. It is shown that VDF can achieve very good filtering results for various noise source models.
引用
收藏
页码：528 / 534
页数：7
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