Multi-focus image fusion with online sparse dictionary learning

This paper presents an effective multi-focus image fusion method based on the online sparse dictionary learning with double sparsity model. First, we learn the dictionaries through the source images using the online sparse dictionary learning algorithm, which enables a multi-scale analysis and train an adaptive dictionary. Then, the sparse representation coefficients of the source images may be acquired by the learned dictionary. Finally, the fused image is formed by choosing the max fusion rule and the learned dictionary. Experimental results show that the proposed method is superior to the conventional fusion methods in terms of the visual and indicator evaluation.