Edge-directional interpolation algorithm using structure tensor

The paper presents a new low complexity edge-directed image interpolation algorithm. The algorithm uses structure tensor analysis to distinguish edges from textured areas and to find local structure direction vectors. The vectors are quantized into 6 directions. Individual adaptive interpolation ker...

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Veröffentlicht in:Electronic Imaging 2016-02, Vol.28 (15), p.1-4
Hauptverfasser: Nasonov, Andrey V, Krylov, Andrey S, Petrova, Xenya Yu, Rychagov, Michael N
Format: Artikel
Sprache:eng
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Zusammenfassung:The paper presents a new low complexity edge-directed image interpolation algorithm. The algorithm uses structure tensor analysis to distinguish edges from textured areas and to find local structure direction vectors. The vectors are quantized into 6 directions. Individual adaptive interpolation kernels are used for each direction. Experimental results show high performance of the proposed method without introducing artifacts.
ISSN:2470-1173
2470-1173
DOI:10.2352/ISSN.2470-1173.2016.15.IPAS-026