Title :
Vector directional filters-a new class of multichannel image processing filters
Author :
Trahanias, P.E. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
fDate :
10/1/1993 12:00:00 AM
Abstract :
Vector directional filters (VDF) for multichannel image processing are introduced and studied. 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. Results are presented here 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
Keywords :
filtering and prediction theory; image processing; vectors; color image processing; directional processing; magnitude processing; multichannel image processing; multispectral biomedical image processing; noise source models; satellite image data processing; vector directional filters; vector-valued signals; Biomedical image processing; Color; Data processing; Filtering; Filters; Image processing; Pixel; Satellites; Signal processing; Statistics;
Journal_Title :
Image Processing, IEEE Transactions on