DocumentCode
3312267
Title
Colour triplet-valued wavelets and splines
Author
Labunets, Valeri ; Maidan, Alexei ; Labunets-Rundblad, Ekaterina ; Astola, Jaakko
Author_Institution
Int. Center for Signal Process., Tampere Univ. of Technol., Finland
fYear
2001
fDate
2001
Firstpage
535
Lastpage
540
Abstract
The concept of colour and and multispectral image recognition connects all the topics we are considering. Colour (multispectral) image processing is investigated using an algebraic approach based on triplet numbers. In the algebraic approach, each image element is considered not as a 3D vector, but as a triplet number. The main goal of the paper is to show that triplet algebra can be used to solve colour image processing problems in a natural and effective manner. We propose novel methods for wavelet transforms and spline implementation in colour space
Keywords
image colour analysis; image recognition; spectral analysis; splines (mathematics); wavelet transforms; colour image processing; multispectral image recognition; splines; triplet algebra; triplet numbers; wavelet transforms; wavelets; Algebra; Animals; Color; History; Image processing; Image recognition; Multispectral imaging; Signal processing; Visual system; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location
Pula
Print_ISBN
953-96769-4-0
Type
conf
DOI
10.1109/ISPA.2001.938687
Filename
938687
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