Sorry, you need to enable JavaScript to visit this website.

Single image super-resolution with limited number of filters

Citation Author(s):
Submitted by:
Yusuke Nakahara
Last updated:
22 November 2018 - 11:51pm
Document Type:
Presentation Slides
Document Year:
2018
Event:
Presenters Name:
Yusuke Nakahara
Paper Code:
1191

Abstract 

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.

up
0 users have voted:

Dataset Files

Single image super-resolution with limited number of filters.pptx

(165)