Algorithm for Estimating Type and Probability of Impulse Noise in Color Images
- Autores: Ruchay A.N.1, Kober V.I.1,2,3, Karnaukhov V.N.2
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Afiliações:
- Chelyabinsk State University
- Institute for Information Transmission Problems, Russian Academy of Sciences
- Department of Computer Science, CICESE
- Edição: Volume 64, Nº 12 (2019)
- Páginas: 1508-1512
- Seção: Theory and Methods of Information Processing
- URL: https://journals.rcsi.science/1064-2269/article/view/201739
- DOI: https://doi.org/10.1134/S1064226919120143
- ID: 201739
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Resumo
Abstract—Color digital images are often contaminated by impulse noise during transmitting and recording of information. Efficient methods for elimination of impulse noise are needed to improve image quality. An algorithm for estimating of the type and probability of impulse noise in color images using morphological operations is proposed. Results of computer experiments are presented to demonstrate the performance of the proposed algorithm for estimating of the type and probability of impulse noise for several interference models.
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Sobre autores
A. Ruchay
Chelyabinsk State University
Autor responsável pela correspondência
Email: ran@csu.ru
Rússia, Chelyabinsk, 454001
V. Kober
Chelyabinsk State University; Institute for Information Transmission Problems, Russian Academy of Sciences; Department of Computer Science, CICESE
Email: ran@csu.ru
Rússia, Chelyabinsk, 454001; Moscow, 127051; Ensenada B.C., 22860
V. Karnaukhov
Institute for Information Transmission Problems, Russian Academy of Sciences
Email: ran@csu.ru
Rússia, Moscow, 127051
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