The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 20-485
Full Name: András Rövid
Position: Associate Professor
Age: ON
Sex: Male
Address: 1034 Budapest, Bécsi út 96/B
Country: HUNGARY
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E-mail address: rovid.andras@nik.uni-obuda.hu
Other E-mails: varlaki@t-online.hu
Title of the Paper: The HOSVD Based Domain and the Related Image Processing Techniques
Authors as they appear in the Paper: András Rövid, László Szeidl, Péter Várlaki
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Number of paper pages: 8
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.
Keywords: Image resolution, HOSVD, approximation, numerical reconstruction
EXTENSION of the file: .pdf
Special (Invited) Session: HOSVD Based Data Representation and LPV Model Complexity Reduction
Organizer of the Session: 649-255
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