针对红外图像对比度低,细节纹理较弱的特点,利用物体偏振特性提出基于偏振成像的红外图像增强方法,即获取红外偏振度图像并与源光强图像融合。首先,分析了偏振成像理论,利用偏振成像技术获取偏振图像。其次,为了能够充分获取偏振度图中的信息,运用剪切波变换对图像进行多尺度分解。最后,采用区域特征匹配融合策略,得到增强图像。为测试方法的有效性,搭建实验装置,进行实拍图像实验。主观与客观评价结果均表明,增强后的图像较原图像具有更加丰富的图像细节与偏振目标信息,对目标识别与探测具有重要意义。
Since the low contrast and lack of details in infrared imagery, a polarization imaging based enhancement method was proposed. Fusing the infrared polarization image and intensity image, this infrared image enhancement approach made the target areas prominent. Firstly, the polarization imaging theory was analyzed, and then polarization images were obtained using the polarization imaging technology. Secondly, the information of polarization images could be well acquired with the help of Shearlets based multi-scale image decomposition. Finally, the enhanced fused result was got with region feature matching. To test the effectiveness of this method, experimental device was built to get real images. Compared with original image, both the subjective and objective evaluation results indicate that the enhanced images have much more image details and polarization information, which is useful for target detection and recognition.