|usion of Polarization Images Based on Area Energy in NSST Domain
|中文关键词: 图像融合 偏振 引导滤波 NSST
|英文关键词: image fusion polarimetric guided filter NSST
|基金项目:国家自然科学基金(No. 61372094)；安徽省高校自然科学研究重大项目(No. KJ2017ZD42)；安徽省自然科学基金项目(No. 1508085QE91)；安徽建筑大学博士启动基金（No. 2015QD04）
| In view of the fact that the quality of a fused polarization image inclines to suffer from the halo artifacts such as lost detail information, blurred edge and decreased contrast with a traditional method, this paper has proposed a new polarization image fusion method based on area energy in non subsampled shearlet transform(NSST) domain. Firstly, the source images were decomposed by NSST, and the low frequency subband coefficients and the high frequency subband coefficients of source images were obtained. Secondly, the low frequency coefficients obtained from the decomposition were fused based on the fusion rule of area weighted energy, and the high frequency coefficients were fused based on the fusion rule of area maximum regional energy.Then the guided filter was used for detail enhancement. Finally,the fused polarization image was obtained through inverse NSST. The results of simulation experiment demonstrated that compared with traditional methods the fused polarization image with the method proposed in this paper had clearer edges and better visual effect while preserving the detail information, and the standard deviation, information entropy, average gradient , image contrast and space frequency were largerby different degrees according to objective evaluation.