Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network
Authors
Lu Dong-xing
Corresponding Author
Lu Dong-xing
Available Online September 2015.
- DOI
- 10.2991/iemb-15.2015.21How to use a DOI?
- Keywords
- Natural Image; Clustering Method; Modified Neural Network; Image Representation.
- Abstract
In this paper, we conduct research on the novel natural image reconstruction and representation algorithm based on clustering and modified neural network. Image resolution enhancement is one of the earliest researches of single image interpolation. Although the traditional interpolation and method for single image amplification is effect, but did not provide more useful information. Our method combines the neural network and the clustering approach. The experiment shows that our method performs well and satisfactory.
- Copyright
- © 2015, 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/).
Cite this article
TY - CONF AU - Lu Dong-xing PY - 2015/09 DA - 2015/09 TI - Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network BT - Proceedings of the 2015 Conference on Informatization in Education, Management and Business PB - Atlantis Press SP - 107 EP - 111 SN - 2352-5398 UR - https://doi.org/10.2991/iemb-15.2015.21 DO - 10.2991/iemb-15.2015.21 ID - Dong-xing2015/09 ER -