Image inpainting based on self-organizing maps by using multi-agent implementation

Margarita Favorskaya, Lakhmi JAIN, Andrey Bolgov

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    5 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    The image inpainting is a well-known task of visual editing. However, the efficiency strongly depends on sizes and textural neighborhood of "missing" area. Various methods of image inpainting exist, among which the Kohonen Self-Organizing Map (SOM) network as a mean of unsupervised learning is widely used. The weaknesses of the Kohonen SOM network such as the necessity for tuning of algorithm parameters and the low computational speed caused the application of multiagent system with a multi-mapping possibility and a parallel processing by the identical agents. During experiments, it was shown that the preliminary image segmentation and the creation of the SOMs for each type of homogeneous textures provide better results in comparison with the classical SOM application. Also the optimal number of inpainting agents was determined. The quality of inpainting was estimated by several metrics, and good results were obtained in complex images.

    Original languageEnglish
    Title of host publicationKnowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings
    EditorsPiotr Jedrzejowicz, Ireneusz Czarnowski, Robert J Howlett, Lakhmi C Jain
    Place of PublicationNetherlands
    PublisherElsevier
    Pages861-870
    Number of pages10
    Volume35
    DOIs
    Publication statusPublished - 2014
    Event18th International Conference on Knowledge-based and Intelligent Information and Engineering Systems - Gdinya, Gdinya, Poland
    Duration: 15 Sep 201417 Sep 2014
    http://kes2014.kesinternational.org/

    Publication series

    NameProcedia Computer Science
    PublisherElsevier
    Volume35
    ISSN (Print)1877-0509

    Conference

    Conference18th International Conference on Knowledge-based and Intelligent Information and Engineering Systems
    CountryPoland
    CityGdinya
    Period15/09/1417/09/14
    Internet address

    Fingerprint

    Self organizing maps
    Unsupervised learning
    Multi agent systems
    Image segmentation
    Tuning
    Textures
    Processing
    Experiments

    Cite this

    Favorskaya, M., JAIN, L., & Bolgov, A. (2014). Image inpainting based on self-organizing maps by using multi-agent implementation. In P. Jedrzejowicz, I. Czarnowski, R. J. Howlett, & L. C. Jain (Eds.), Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings (Vol. 35, pp. 861-870). (Procedia Computer Science; Vol. 35). Netherlands: Elsevier. https://doi.org/10.1016/j.procs.2014.08.253
    Favorskaya, Margarita ; JAIN, Lakhmi ; Bolgov, Andrey. / Image inpainting based on self-organizing maps by using multi-agent implementation. Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings. editor / Piotr Jedrzejowicz ; Ireneusz Czarnowski ; Robert J Howlett ; Lakhmi C Jain. Vol. 35 Netherlands : Elsevier, 2014. pp. 861-870 (Procedia Computer Science).
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    title = "Image inpainting based on self-organizing maps by using multi-agent implementation",
    abstract = "The image inpainting is a well-known task of visual editing. However, the efficiency strongly depends on sizes and textural neighborhood of {"}missing{"} area. Various methods of image inpainting exist, among which the Kohonen Self-Organizing Map (SOM) network as a mean of unsupervised learning is widely used. The weaknesses of the Kohonen SOM network such as the necessity for tuning of algorithm parameters and the low computational speed caused the application of multiagent system with a multi-mapping possibility and a parallel processing by the identical agents. During experiments, it was shown that the preliminary image segmentation and the creation of the SOMs for each type of homogeneous textures provide better results in comparison with the classical SOM application. Also the optimal number of inpainting agents was determined. The quality of inpainting was estimated by several metrics, and good results were obtained in complex images.",
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    author = "Margarita Favorskaya and Lakhmi JAIN and Andrey Bolgov",
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    doi = "10.1016/j.procs.2014.08.253",
    language = "English",
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    Favorskaya, M, JAIN, L & Bolgov, A 2014, Image inpainting based on self-organizing maps by using multi-agent implementation. in P Jedrzejowicz, I Czarnowski, RJ Howlett & LC Jain (eds), Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings. vol. 35, Procedia Computer Science, vol. 35, Elsevier, Netherlands, pp. 861-870, 18th International Conference on Knowledge-based and Intelligent Information and Engineering Systems, Gdinya, Poland, 15/09/14. https://doi.org/10.1016/j.procs.2014.08.253

    Image inpainting based on self-organizing maps by using multi-agent implementation. / Favorskaya, Margarita; JAIN, Lakhmi; Bolgov, Andrey.

    Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings. ed. / Piotr Jedrzejowicz; Ireneusz Czarnowski; Robert J Howlett; Lakhmi C Jain. Vol. 35 Netherlands : Elsevier, 2014. p. 861-870 (Procedia Computer Science; Vol. 35).

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    TY - GEN

    T1 - Image inpainting based on self-organizing maps by using multi-agent implementation

    AU - Favorskaya, Margarita

    AU - JAIN, Lakhmi

    AU - Bolgov, Andrey

    PY - 2014

    Y1 - 2014

    N2 - The image inpainting is a well-known task of visual editing. However, the efficiency strongly depends on sizes and textural neighborhood of "missing" area. Various methods of image inpainting exist, among which the Kohonen Self-Organizing Map (SOM) network as a mean of unsupervised learning is widely used. The weaknesses of the Kohonen SOM network such as the necessity for tuning of algorithm parameters and the low computational speed caused the application of multiagent system with a multi-mapping possibility and a parallel processing by the identical agents. During experiments, it was shown that the preliminary image segmentation and the creation of the SOMs for each type of homogeneous textures provide better results in comparison with the classical SOM application. Also the optimal number of inpainting agents was determined. The quality of inpainting was estimated by several metrics, and good results were obtained in complex images.

    AB - The image inpainting is a well-known task of visual editing. However, the efficiency strongly depends on sizes and textural neighborhood of "missing" area. Various methods of image inpainting exist, among which the Kohonen Self-Organizing Map (SOM) network as a mean of unsupervised learning is widely used. The weaknesses of the Kohonen SOM network such as the necessity for tuning of algorithm parameters and the low computational speed caused the application of multiagent system with a multi-mapping possibility and a parallel processing by the identical agents. During experiments, it was shown that the preliminary image segmentation and the creation of the SOMs for each type of homogeneous textures provide better results in comparison with the classical SOM application. Also the optimal number of inpainting agents was determined. The quality of inpainting was estimated by several metrics, and good results were obtained in complex images.

    KW - Kohonen SOM networks

    KW - clustering

    KW - image inpainting

    KW - texture

    KW - multi-agent system

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    DO - 10.1016/j.procs.2014.08.253

    M3 - Conference contribution

    VL - 35

    T3 - Procedia Computer Science

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    EP - 870

    BT - Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings

    A2 - Jedrzejowicz, Piotr

    A2 - Czarnowski, Ireneusz

    A2 - Howlett, Robert J

    A2 - Jain, Lakhmi C

    PB - Elsevier

    CY - Netherlands

    ER -

    Favorskaya M, JAIN L, Bolgov A. Image inpainting based on self-organizing maps by using multi-agent implementation. In Jedrzejowicz P, Czarnowski I, Howlett RJ, Jain LC, editors, Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014: Proceedings. Vol. 35. Netherlands: Elsevier. 2014. p. 861-870. (Procedia Computer Science). https://doi.org/10.1016/j.procs.2014.08.253