关键词: shearlet, 图像融合, SML算子

Abstract: Compared with traditional multi-scale analysis method, shearlet transform is more suitable for extracting details of the image. In the paper shearlet is used in multi-focus image fusion. The source images are decomposed into several subbands using shearlet. According to the characteristics of multi-focus images, the coefficients of low-frequency subband are fused with a scheme based on the SML operator. The coefficients of high-frequency subbands are fused with the fusion rule based on both local energy and single pixel. The fused image is obtained by performing the inverse shearlet transform on the combined coefficients. The experimental results show that this method obtains better fusion quality in terms of both visual and quantified measure.

Key words: shearlet, image fusion, SML operator