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Single image super-resolution with limited number of filters

Abstract: 

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 sufficient 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.

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Paper Details

Authors:
Submitted On:
22 November 2018 - 11:51pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Yusuke Nakahara
Paper Code:
1191
Document Year:
2018
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Single image super-resolution with limited number of filters.pptx

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[1] , "Single image super-resolution with limited number of filters", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3733. Accessed: Jul. 16, 2019.
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url = {http://sigport.org/3733},
author = { },
publisher = {IEEE SigPort},
title = {Single image super-resolution with limited number of filters},
year = {2018} }
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T1 - Single image super-resolution with limited number of filters
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PY - 2018
PB - IEEE SigPort
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. (2018). Single image super-resolution with limited number of filters. IEEE SigPort. http://sigport.org/3733
, 2018. Single image super-resolution with limited number of filters. Available at: http://sigport.org/3733.
. (2018). "Single image super-resolution with limited number of filters." Web.
1. . Single image super-resolution with limited number of filters [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3733