Fusion of Multi-band SAR Images Based on Directionlet Transform

Abstract

A novel image fusion scheme for multi-band SAR images based on Directionlet transform is proposed. Firstly, multi-band images can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions using the Directionlet transform. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the directive edge information measurement and the larger value of region variance information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused Directionlet coefficients. Experimental results show that compared with traditional algorithm, the proposed algorithm can get better visual effect and the significant information of original image like textures and contour details is well maintained DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.2881