Combination of ISOM and K-SVD based on Dictionary Incremental Learning for Image Signal Processing

DOI

10.2991/ameii-16.2016.201How to use a DOI?

Keywords

Incremental Self-Organizing Maps, K-SVD, Dictionary Incremental Learning

Abstract

In this paper, a dictionary incremental learning method combination of ISOM(Incremental Self-Organizing Maps) and K-SVD is proposed. This method significantly improves the efficiency of K-SVD method for large sample based on the incremental learning ability of ISOM network. The experiment of image super resolution reconstruction shows that the proposed method has the capability of incremental learning.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Guixin Sun
PY  - 2016/04
DA  - 2016/04
TI  - Combination of ISOM and K-SVD based on Dictionary Incremental Learning for Image Signal Processing
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1057
EP  - 1060
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.201
DO  - 10.2991/ameii-16.2016.201
ID  - Sun2016/04
ER  -