Non-Uniformity Correction Algorithm for IRFPA Based on Local Scene Statistics and Improved Neural Network

被引：0
|
作者：
Dai, Shaosheng [1 ]
Chen, Changchuan [1 ]
Wu, Chuanxi [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Signal & Informat Proc, Chongqing 400065, Peoples R China
来源：
2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年
关键词：
IRFPA; non-uniformity correction; neural network; local scene statistics;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper a new non-uniformity correction algorithm is proposed which is based on local scene statistics and improved neural network. The new algorithm firstly uses local scene statistics to filter out low frequency noise over infrared image and reduce the ghosting artifacts of a previously developed scene-based non-uniformity correction method, then uses improved neural network algorithm to correct the non-uniformity of infrared focal plane array (IRFPA). Experiments show that the proposed algorithm can effectively filter out low frequency noise and improve corrected image quality.
引用
收藏
页码：378 / 381
页数：4
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