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Edge-Detection Noise-Smoothing Image Filter Techniques

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Proceedings of the 3rd Brazilian Technology Symposium (BTSym 2017)

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Abstract

In recent years, applications such as image filtering are becoming increasingly popular in social media and technological apps. For this reason, it is important to develop image-filtering techniques that can deal with inherent noise when taking photos. This type of filters can serve in the process of retouching photos. This paper proposes an edge-detection noise-smoothing image filter based on partial differential equations. According to the results, this technique improves recovering of a distorted image against to conventional techniques.

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References

  1. Baxes, G.A.: Digital Image Processing: Principles and Applications, 1st edn. Wiley, (1994)

    Google Scholar 

  2. Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using Matlab, 2nd edn. Gatesmark Publishing, (2009)

    Google Scholar 

  3. Strauss, W.A.: Partial Differential Equations: An Introduction, 2nd edn. Wiley, (2008)

    Google Scholar 

  4. Pedrosa, G.V., Barcelos, C.A.Z.: Noise eliminations in images using partial differential equations. VIII Encontro Interno/XII Seminário de Iniciação Científica da Universidade Federal de Uberlândia, (2008)

    Google Scholar 

  5. Barcelos, C.A.Z., Boaventura, M., Júnior, E.C.S.: A well-balanced flow equation for noise removal and edge detection. IEEE Trans. Image Process, (2003)

    Google Scholar 

  6. Flanagan, D.: JavaScript: The Definitive Guide. 6th edn. O’Reilly Media, (2011)

    Google Scholar 

  7. Keith, J., Andrew, J.: HTML5 for Web Designers, 2nd edn. A Book Apart, (2016)

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Campinas, Campinas, SP, Brazil

    Daniel Izario, Yuzo Iano, Bruno Izario & Diego Castro

  2. National Institute of Telecommunications, Santa Rita do Sapucaí/MG, Brazil

    Carlos Nazareth

Authors
  1. Daniel Izario
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  2. Yuzo Iano
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  3. Bruno Izario
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  4. Diego Castro
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  5. Carlos Nazareth
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Corresponding author

Correspondence to Daniel Izario .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil

    Yuzo Iano

  2. Faculty of Technology, University of Campinas, Campinas, São Paulo, Brazil

    Rangel Arthur

  3. Divisão de Engenharia Eletrônica, Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos, São Paulo, Brazil

    Osamu Saotome

  4. Universidade Federal Fluminense (UFF), Duque de Caxias, Rio de Janeiro, Brazil

    Vania Vieira Estrela

  5. Faculty of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil

    Hermes José Loschi

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Cite this paper

Izario, D., Iano, Y., Izario, B., Castro, D., Nazareth, C. (2019). Edge-Detection Noise-Smoothing Image Filter Techniques. In: Iano, Y., Arthur, R., Saotome, O., Vieira Estrela, V., Loschi, H. (eds) Proceedings of the 3rd Brazilian Technology Symposium. BTSym 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-93112-8_13

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  • DOI: https://doi.org/10.1007/978-3-319-93112-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93111-1

  • Online ISBN: 978-3-319-93112-8

  • eBook Packages: EngineeringEngineering (R0)

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