Abstract:

Focusing on multi-focus images,in this paper we present an image fusion method based on the second generation Curvelet transform and the lifting stationary wavelet transform (LSWT).Firstly,the images to be fused are decomposed by discrete Curvelet transform, thus the fine-scale and coarse-scale coefficients are obtained in different scales and directions.Secondly,the coarse scale coefficients are decomposed by the LSWT.The low-frequency coefficients and the high-frequency coefficients are separately fused by different methods.Subsequently the coefficients obtained by the lifting stationary wavelet inverse transform are the coarse-scale coefficients of the Curvelet inverse transform.The fine-scale coefficients are fused by the local average energy and variance method.Finally,the fused image is obtained by the Curvelet inverse transform.Experimental results show that the proposed method is superior to the traditional methods.

Key words: Curvelet transform;LSWT;image fusion