关键词: 图像融合;红外与可见光图像;Curvelet变换

Abstract:

For the fusion of infrared and visible images,an improved image fusion algorithm based on the second generation Curvelet transform is proposed.First,the Curvelet transform was performed on the two source images to obtain the transform coefficients on different scales and in various directions.For low frequency coefficients,according to the different imaging characteristics of infrared and visible images,an adaptive fusion strategy based on the local statistical properties was employed;for high frequency coefficients on different scales and in various directions,a program for coefficient selection based on local-region energy matching was employed.Finally,the fusion image was obtained through the inverse Curvelet transform.Through comparative analysis of the experimental results,the proposed algorithm can effectively reflect the characteristics of the original images,and the fusion effect is improved significantly.

Key words: image fusion;infrared and visible images;Curvelet transform