A kind of Image De-noising Method Based on Improved Intersecting Cortical Model

DOI

10.2991/iccia-16.2016.85How to use a DOI?

Keywords

Impulse noise; Intersecting Cortical Model; Time matrix; Image de-noising.

Abstract

The article analyzed the impulse noise characters of the image, proposed an improved Intersecting Cortical Model. The model has to rely on the concept in the respective processing time (node) independent information, threshold function related with the number of iterations. We will introduce the timed matrix. When forming the matrix contains space-related information and determine the number of iterations. The computer simulation results show that use of the information provided by T, and use of the relevant algorithm can effectively remove impulse noise in the image. In the meantime, the proposed algorithm can effectively preserve the details of image.

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/).

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TY  - CONF
AU  - Bo Zhu
PY  - 2016/09
DA  - 2016/09
TI  - A kind of Image De-noising Method Based on Improved Intersecting Cortical Model
BT  - Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 461
EP  - 466
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.85
DO  - 10.2991/iccia-16.2016.85
ID  - Zhu2016/09
ER  -