DocumentCode :
2237500
Title :
Linear colour-dependent image filtering based on vector decomposition
Author :
Sangwine, Stephen J. ; Gatsheni, Barnabas N. ; Ell, Todd A.
Author_Institution :
Dept. of Electron. Syst. Eng., Univ. of Essex, Colchester, UK
fYear :
2002
fDate :
3-6 Sept. 2002
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a new method for devising linear colour-dependent filters based on decomposition of an image into components parallel and perpendicular to a chosen direction in colour space. The components may be separately filtered with linear filters and added to produce an overall result. The paper demonstrates this approach with a colour-selective averager, and then shows that the filter may be implemented without the parallel/perpendicular decomposition by adding the output of two filters, derived in the paper. The approach is based on quaternion algebra and convolution.
Keywords :
convolution; image colour analysis; image filtering; vectors; colour space; colour-selective averager; convolution; image decomposition; linear colour-dependent image filtering; quaternion algebra; vector decomposition; Abstracts; Color; Quaternions; Smoothing methods; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
ISSN :
2219-5491
Type :
conf
Filename :
7072153
Link To Document :
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