Abstract:

Compressive sensing ( CS) theory is a novel theory used for collecting,encoding and decoding sparse or compressible signals. In this paper,a novel multi-focus image fusion method is proposed based on the CS theory. The method include the compressive sensing-based transform,pixel-level fusion and sparse reconstruction of the fused image,and,specially,performs the fusion by means of the weighted method,the maximum value method and the coefficient judgment method. Then,some image fusion experiments are carried out to compare the above-mentioned method with the wavelet transformation-based image fusion method and other compressive sensing fusion methods. The results show that the entropy obtained through the weighted method is the highest while that through the maximum value method is the lowest; and that the entropy of the image fused according to the CS theory is higher than that through the same fusion method in wavelet.

Key words: image fusion, compressive sensing, orthogonal matching pursuit algorithm, wavelet transform