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Impulse Denoising Using Fuzzy and Directional Processing on a DSP

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MICAI 2008: Advances in Artificial Intelligence (MICAI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5317))

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Abstract

This article presents novel fuzzy and directional techniques in denoising colour images contaminated by impulsive random noise. Novel approach has demonstrated excellent performance in image denoising and feature image preservation. Real-Time analysis is realized on a Digital Signal Processor (Texas Instruments).

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Author information

Authors and Affiliations

  1. Mechanical and Electrical Engineering Higher School, National Polytechnic Institute of Mexico, U.P. Culhuacan Av. Santa Ana, 1000, Col. San Fco. Culhuacan, Mexico

    Alberto Rosales, Volodymyr Ponomaryov & Francisco Gallegos

Authors
  1. Alberto Rosales
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  2. Volodymyr Ponomaryov
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  3. Francisco Gallegos
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, 07738, Mexico City, México

    Alexander Gelbukh

  2. Ciencias Computacionales, Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Luis Enrique Erro #1 , Sta. María Tonantzintla, 72840, Puebla, México

    Eduardo F. Morales

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© 2008 Springer-Verlag Berlin Heidelberg

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Rosales, A., Ponomaryov, V., Gallegos, F. (2008). Impulse Denoising Using Fuzzy and Directional Processing on a DSP. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_53

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  • DOI: https://doi.org/10.1007/978-3-540-88636-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88635-8

  • Online ISBN: 978-3-540-88636-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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