Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55525
Title: Single image super resolution based on sparse representation and adaptive dictionary selection
Authors: Fu, CH
Chen, H
Zhang, H
Chan, YL 
Keywords: Adpative dictionary selection
Dictionary learning
K-svd
Sparse representation
Super resolution
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2014 19th International Conference on Digital Signal Processing : Hong Kong, 20-23 August 2014, 6900704, p. 449-453 How to cite?
Abstract: An improved single image super resolution based on patch-wise sparse recovery is proposed in this paper. K-SVD is adopted to train a coupled dictionary. Besides, adaptive selection is proposed among dictionaries with different patch size. Simulation results show that the proposed approach provides good subjective quality and up to 0.4 dB PSNR improvement with significant time reduction.
URI: http://hdl.handle.net/10397/55525
ISBN: 9781479946129
DOI: 10.1109/ICDSP.2014.6900704
Appears in Collections:Conference Paper

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