HOSVD based image processing techniques

András Rövid, Imre J. Rudas, Szabolcs Sergyán, László Szeidl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In the framework of the paper an improved method for image resolution enhancement is introduced. The enhancement is performed through another representation domain, where the image function is expressed with the help of polylinear functions on higher order singular value decomposition (HOSVD) basis. The paper gives a detailed description on how to determine the polylinear functions corresponding to an image and how to process them in order to obtain a higher resolution image. Furthermore, the proposed approach and the Fourier-based approach will be compared from the point of view of their effectiveness.

Original languageEnglish
Title of host publicationRecent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11
Pages297-302
Number of pages6
Publication statusPublished - Jun 17 2011
Event10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11 - Cambridge, United Kingdom
Duration: Feb 20 2011Feb 22 2011

Publication series

NameRecent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11

Other

Other10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11
CountryUnited Kingdom
CityCambridge
Period2/20/112/22/11

Keywords

  • Approximation
  • HOSVD
  • Image resolution
  • Numerical reconstruction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems

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  • Cite this

    Rövid, A., Rudas, I. J., Sergyán, S., & Szeidl, L. (2011). HOSVD based image processing techniques. In Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11 (pp. 297-302). (Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11).