Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A3L-B
Session:
Number:A3L-B-6
Super-Resolution Image Reconstruction Method Based on Non-Linear Image Enhancement Filters
Tomio Goto, Tsubasa Munezawa, Satoshi Hirano,
pp.245-248
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
Super-resolution is one of the most important technologies for image processing because high resolution displays have been widely used although low resolution moving pictures have been playing. A lot of super-resolution methods have been proposed and there are two kinds of methods; reconstructed type and leaning type of super-resolution. The main problem for the learning type of super-resolution is long computational time to search its dictionary. In this study, we propose a novel super-resolution method based on non-linear image enhancement filters and experimental results show that the performance of super-resolution is improved.