TY - GEN
T1 - Satellite image Super-Resolution using overlapping blocks via sparse representation
AU - Alvarez-Ramos, Valentin
AU - Ponomaryov, Volodymyr
AU - Reyes-Reyes, Rogelio
AU - Gallegos-Funes, Francisco
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - In image processing the Super-Resolution (SR) has played an important role by acquiring High-Resolution (HR) images from the corresponding Low-Resolution (LR) images. In this paper, a Super-Resolution technique for satellite images is proposed but it can be used on images of different nature. In the current proposal to achieve a HR image, it is necessary an intermediate step, which consists in performing an initial interpolation, then features are extracted from this initial image, here, it is necessary to reduce the information obtained by the features extraction via principal component analysis (PCA). Patches are extracted from the initial image and the reduction via PCA. For each patch, the sparse representation is obtained and then, it is used to recover the HR image. By using the quality objective criteria PSNR and SSIM, the proposed technique is evaluated and shows a superiority in comparison against other existing proposals.
AB - In image processing the Super-Resolution (SR) has played an important role by acquiring High-Resolution (HR) images from the corresponding Low-Resolution (LR) images. In this paper, a Super-Resolution technique for satellite images is proposed but it can be used on images of different nature. In the current proposal to achieve a HR image, it is necessary an intermediate step, which consists in performing an initial interpolation, then features are extracted from this initial image, here, it is necessary to reduce the information obtained by the features extraction via principal component analysis (PCA). Patches are extracted from the initial image and the reduction via PCA. For each patch, the sparse representation is obtained and then, it is used to recover the HR image. By using the quality objective criteria PSNR and SSIM, the proposed technique is evaluated and shows a superiority in comparison against other existing proposals.
KW - PCA
KW - PSNR
KW - SSIM
KW - feature-extraction
KW - satellite images
KW - sparse representation
KW - super-resolution
UR - http://www.scopus.com/inward/record.url?scp=84988025220&partnerID=8YFLogxK
U2 - 10.1109/MSMW.2016.7538183
DO - 10.1109/MSMW.2016.7538183
M3 - Contribución a la conferencia
AN - SCOPUS:84988025220
T3 - 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
BT - 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
Y2 - 20 June 2016 through 24 June 2016
ER -