Publication detail

Image edges resolved well when using an overcomplete piecewise-polynomial model

NOVOSADOVÁ, M. RAJMIC, P.

Original Title

Image edges resolved well when using an overcomplete piecewise-polynomial model

English Title

Image edges resolved well when using an overcomplete piecewise-polynomial model

Type

conference paper

Language

en

Original Abstract

Used in the paper is an overcomplete piecewisepolynomial image model incorporating sparsity. The paper shows that using such a model, the edges in the image can be resolved robustly with respect to noise. Two variants of the proposed approach are both shown to be superior to the use of the classic edge detecting kernels. The proposed method is in turn also suitable for image segmentation.

English abstract

Used in the paper is an overcomplete piecewisepolynomial image model incorporating sparsity. The paper shows that using such a model, the edges in the image can be resolved robustly with respect to noise. Two variants of the proposed approach are both shown to be superior to the use of the classic edge detecting kernels. The proposed method is in turn also suitable for image segmentation.

Keywords

image segmentation, smoothing, approximation, denoising, piecewise polynomials, sparsity

Released

17.12.2018

Publisher

IEEE

Location

Cairns

ISBN

978-1-5386-5601-3

Book

Proceedings of the 12th International Conference on Signal Processing and Communication Systems (ICSPCS)

Pages from

1

Pages to

10

Pages count

10

BibTex


@inproceedings{BUT150615,
  author="Michaela {Novosadová} and Pavel {Rajmic}",
  title="Image edges resolved well when using an overcomplete piecewise-polynomial model",
  annote="Used in the paper is an overcomplete piecewisepolynomial image model incorporating sparsity. The paper shows that using such a model, the edges in the image can be resolved robustly with respect to noise. Two variants of the proposed approach are both shown to be superior to the use of the classic edge detecting kernels. The proposed method is in turn also suitable for image segmentation.",
  address="IEEE",
  booktitle="Proceedings of the 12th International Conference on Signal Processing and Communication Systems (ICSPCS)",
  chapter="150615",
  howpublished="electronic, physical medium",
  institution="IEEE",
  year="2018",
  month="december",
  pages="1--10",
  publisher="IEEE",
  type="conference paper"
}