Annihilation-driven localised image edge models
Refereed conference paper presented and published in conference proceedings


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AbstractWe propose a novel edge detection algorithm with sub-pixel accuracy based on annihilation of signals with finite rate of innovation [1, 2]. We show that the Fourier domain annihilation equations can be interpreted as spatial domain multiplications. From this new perspective, we obtain an accurate estimation of the edge model by assuming a simple parametric form within each localised block. Further, we build a locally adaptive global mask function (i.e, our edge model) for the whole image. The mask function is then used as an edgepreserving constraint in further processing. Numerical experiments on both edge localisations and image up-sampling show the effectiveness of the proposed approach, which out-performs state-of-the-art method.
All Author(s) ListPan H., Blu T., Vetterli M.
Name of Conference40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Start Date of Conference19/04/2014
End Date of Conference24/04/2014
Place of ConferenceBrisbane
Country/Region of ConferenceAustralia
Detailed descriptionorganized by IEEE,
Year2015
Month1
Day1
Volume Number2015-August
Pages5977 - 5981
ISBN9781467369978
ISSN1520-6149
LanguagesEnglish-United Kingdom
KeywordsAnnihilation equations, image up-sampling, sub-piexel edge detection

Last updated on 2020-15-09 at 01:22