TY - GEN
T1 - Single image super-resolution with limited number of filters
AU - Nakahara, Yusuke
AU - Yamaguchi, Takuro
AU - Ikehara, Masaaki
PY - 2019/2/20
Y1 - 2019/2/20
N2 - In this paper, we propose a single image super-resolution with limited number of filters based on RAISR. RAISR is well known as rapid and accurate super-resolution method which utilizes 864 filters for upscaling. This super-resolution idea utilizes the filter learned with sucient training set. To get low cost of calculation and comparable image quality with other highly accurate super-resolution methods, the patch of input image is classified into classes by simple hash calculation. Then, the high quality version of this patch is generated by applying the filter to low resolution patches. In our method, only 18 filters can make high resolution images by using simple geometric conversion and rotation conversion while keeping the accuracy and runtime of RAISR.
AB - In this paper, we propose a single image super-resolution with limited number of filters based on RAISR. RAISR is well known as rapid and accurate super-resolution method which utilizes 864 filters for upscaling. This super-resolution idea utilizes the filter learned with sucient training set. To get low cost of calculation and comparable image quality with other highly accurate super-resolution methods, the patch of input image is classified into classes by simple hash calculation. Then, the high quality version of this patch is generated by applying the filter to low resolution patches. In our method, only 18 filters can make high resolution images by using simple geometric conversion and rotation conversion while keeping the accuracy and runtime of RAISR.
KW - Filter learning
KW - Image enhancement
KW - Super-resolution
UR - http://www.scopus.com/inward/record.url?scp=85063111809&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063111809&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2018.8646455
DO - 10.1109/GlobalSIP.2018.8646455
M3 - Conference contribution
AN - SCOPUS:85063111809
T3 - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
SP - 36
EP - 40
BT - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
Y2 - 26 November 2018 through 29 November 2018
ER -