Infrared and visible image fusion using NSCT and GGD

Autor: Xiuqiong Zhang, Hongyin Qin, Cuiyin Liu, Mingrong Wang, Men Tao
Rok vydání: 2011
Předmět:
Zdroj: ICDIP
ISSN: 0277-786X
Popis: 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.
Databáze: OpenAIRE