Infrared and visible image fusion using NSCT and GGD

摘要：

In order to fuse the visible and infrared images captured in low visibility conditions, a method based on nonsubsampled contourlet transform (NSCT) and generalized Gaussian distribution (GGD) is proposed in this paper. The statistical character of the directional coefficients decomposed by NSCT meet the GGD. So, the coefficients are estimated using absolute moment estimation in local neighbor in directional coefficients. The estimated scale parameter is used to measure the saliency and compute the weight. The fused coefficients are obtained by the weighted average and are reconstructed the final fused image. Compared to the DWT and SIDWT. the proposed method has b superior fusion performance.

关键词： image fusion nonsubsampled contourlet transform (NSCT) generalized Gaussian distribution (GGD)

作者: Xiuqiong Zhang Cuiyin Liu Tao Men Hongyin Qin Mingrong Wang

作者单位: Laboratory of Intelligent Information Processing and Application, Computer Science College,Leshan No State Key Laboratory of Foundamental Science on Synthetic Vision, Computer College , Sichuan Univers Laboratory of Intelligent Information Processing and Application, Computer Science College,Leshan No

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 159-163

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）