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Paper data
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Title:
Linear Colour-Dependent Image Filtering based on Vector Decomposition

Author(s):
Sangwine Stephen, University of Essex
Gatsheni Barnabas, University of Essex
Ell Todd, Minnesota, USA

Page numbers in the proceedings:
Volume II pp 274-277

Session:
Image Filtering

Paper abstract
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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.

Paper
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A PDF version is available here

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