Multi-sensor image fusion algorithm based on NSCT and PCNN

摘要：

An important branch of information fusion of multisensor image fusion technology has become one of the hot researches. In order to better realize, this paper presents a new algorithm which is based on NSCT and PCNN fusion. First, the image is decomposed using NSCT, and then select the integration algorithm using PCNN coefficient, resulting in higher quality of fused image. Experimental results show that this is a good method of fusion effects. It makes some details more clearly evident when compared with the original clear images.

关键词： NSCT (Nonsubsampled Contourlet Transform ) PCNN(Pulse Coupled Neural Network) Image fusion

作者: Chenyao Kanglei

作者单位: information institute shenyang university shenyang china Inventec Corporation Shanghai, China

会议类型: 国际会议

会议名称: International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

会议地点: 太原

会议语种:英文

页码: 105-108

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）