TY - GEN
T1 - Sparse representation to solve the problem of image super-resolution
AU - Álvarez-Ramos, Valentín
AU - Ponomaryov, Volodymyr
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/21
Y1 - 2016/3/21
N2 - Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.
AB - Image Super-Resolution has been an active field of image processing. In this paper, we propose a super-resolution method for grayscale images. The designed framework includes the following stages: First initial interpolation, block extraction and sparse representation for each block. The evaluation of novel method is performed using PSNR, MAE and SSIM as evaluation objective criteria.
KW - Feature Extraction
KW - MAE
KW - PSNR
KW - SSIM
KW - Sparse Representation
KW - Super-Resolution
UR - http://www.scopus.com/inward/record.url?scp=84966663954&partnerID=8YFLogxK
U2 - 10.1109/CONIELECOMP.2016.7438568
DO - 10.1109/CONIELECOMP.2016.7438568
M3 - Contribución a la conferencia
AN - SCOPUS:84966663954
T3 - 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
SP - 156
EP - 161
BT - 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
Y2 - 24 February 2016 through 26 February 2016
ER -