Blind Pixels Auto-Searching Algorithm for IRFPA based on Scene
Authors
Dachuan Chen, Siming He, Ding Chen
Corresponding Author
Dachuan Chen
Available Online July 2013.
- DOI
- 10.2991/icssr-13.2013.188How to use a DOI?
- Keywords
- infrared focal plane array; bad pixel; detect of bad pixel; infrared imaging
- Abstract
One of the important factors which influence the imaging of IRFPA array is the quantity and distribution of bad pixel. Based on the features of infrared image, response characteristics of IRFAP’s bad pixel and the corelation of adjacency pixel, this paper put forward a new method to detect bad pixel .The experimental result has proved that this method not only can actualize the detection of IRFPA bad pixel, but has many advantages like real time bad pixel detection, low rate of miss detection and fast detection etc. Also this algorithm is easy to be implemented by hardware.
- Copyright
- © 2013, 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 - Dachuan Chen AU - Siming He AU - Ding Chen PY - 2013/07 DA - 2013/07 TI - Blind Pixels Auto-Searching Algorithm for IRFPA based on Scene BT - Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013) PB - Atlantis Press SP - 808 EP - 811 SN - 1951-6851 UR - https://doi.org/10.2991/icssr-13.2013.188 DO - 10.2991/icssr-13.2013.188 ID - Chen2013/07 ER -