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ŠPIŘÍK, J.; ZÁTYIK, J.; LÓCSI, L.
Original Title
Image Extrapolation Using K-SVD Algorithm
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This article presents a novel algorithm for image extrapolation, which utilizies K-SVD algorithm for training the overcomplete dictionary. With the trained dictionary we can get the extrapolated part of the image. The main idea is to perform the extrapolation for only one row or column at a time, and to drop some constraints on the overlapping of the patches. Our proposed algorithm is compared with the algorithm for image inpainting which can be also used for image extrapolation (with some special conditions). At the end some examples of extrapolated images are shown.
English abstract
Keywords
Extrapolation, border extension, border prediction, image processing, K-SVD, sparse
Key words in English
Authors
RIV year
2014
Released
03.07.2013
ISBN
978-1-4799-0402-0
Book
Proceedings of the 36th International Conference on Telecommunications and Signal Processing
Pages from
877
Pages to
880
Pages count
4
BibTex
@inproceedings{BUT101114, author="Jan {Špiřík} and Ján {Zátyik} and Levente {Lócsi}", title="Image Extrapolation Using K-SVD Algorithm", booktitle="Proceedings of the 36th International Conference on Telecommunications and Signal Processing", year="2013", pages="877--880", isbn="978-1-4799-0402-0" }