关键词: 图像融合, 第二代Bandelet变换, 多聚焦, 区域方差

Abstract: A multi-focus image fusion algorithm based on Bandelet transform and region statistics was developed, which could fully utilize the second generation Bandelets advantages of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion source images were firstly decomposed by the Bandelet transform, for reconstructing the fused image, the maximum rule was used to select source images geometric flow and regional variance was used to the Bandelet coefficients. Finally the fused image was reconstructed by performing the inverse bandelet transform. The experimental results indicate that the Bandelet-based fusion algorithm represents the edge and detailed information well and outperforms the wavelet-based and Laplacian pyramid-based fusion algorithms, especially when the abundant texture and edges are contained in the source images.

Key words: image fusion, second generation Bandelet transform, multi-focus, regional variance