Polarization information of light in a scene is valuable for various image processing and computer vision tasks. A division-of-focal-plane polarimeter is a promising approach to capture the polarization images of different orientations in one shot, while it requires color-polarization demosaicking. In this paper, we propose a two-step color-polarization demosaicking network~(TCPDNet), which consists of two sub-tasks of color demosaicking and polarization demosaicking. We also introduce a reconstruction loss in the YCbCr color space to improve the performance of TCPDNet. Experimental comparisons demonstrate that TCPDNet outperforms existing methods in terms of the image quality of polarization images and the accuracy of Stokes parameters.
翻译:场景中的光亮极化信息对于各种图像处理和计算机视觉任务来说是有价值的。 焦平平面极度计是一种很有希望的方法,可以捕捉一次拍摄不同方向的极化图像,同时需要彩色极化演示。 在本文中,我们建议采用两步色极化演示网络~(TCPDNet),由色色色色分解和极化分化演示任务组成的两个子任务组成。 我们还在YCbCr彩色空间中引入了重建损失,以改善TCPDNet的性能。 实验性比较表明,TCPDNet在极化图像质量和斯托克斯参数的准确性方面超过了现有的方法。