TY - GEN
T1 - Self-similarity based image super-resolution on frequency domain
AU - Park, Sae Jin
AU - Lee, Oh Young
AU - Kim, Jong Ok
PY - 2013
Y1 - 2013
N2 - Self-similarity has been popularly exploited for image super resolution in recent years. Image is decomposed into LF (low frequency) and HF (high frequency) components, and similar patches are searched in the LF domain across the pyramid scales of the original image. Once a similar LF patch is found, the LF is combined with the corresponding HR patch, and we reconstruct the HR (high resolution) version. In this paper, we separately search similar LR and HR patches in the LF and HF domains, respectively. In addition, self-similarity based SR is applied to the new structure-texture domain instead of the existing LF and HF. Experimental results show that the proposed method outperforms several conventional SR algorithms based on self-similarity.
AB - Self-similarity has been popularly exploited for image super resolution in recent years. Image is decomposed into LF (low frequency) and HF (high frequency) components, and similar patches are searched in the LF domain across the pyramid scales of the original image. Once a similar LF patch is found, the LF is combined with the corresponding HR patch, and we reconstruct the HR (high resolution) version. In this paper, we separately search similar LR and HR patches in the LF and HF domains, respectively. In addition, self-similarity based SR is applied to the new structure-texture domain instead of the existing LF and HF. Experimental results show that the proposed method outperforms several conventional SR algorithms based on self-similarity.
UR - http://www.scopus.com/inward/record.url?scp=84893339402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893339402&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2013.6694232
DO - 10.1109/APSIPA.2013.6694232
M3 - Conference contribution
AN - SCOPUS:84893339402
SN - 9789869000604
T3 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
BT - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
T2 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Y2 - 29 October 2013 through 1 November 2013
ER -