Two-Step Color-Polarization Demosaicking Network
This work addresses a specific bottleneck in polarization imaging for computer vision applications, offering incremental improvements in demosaicking performance.
The paper tackles the problem of color-polarization demosaicking for division-of-focal-plane polarimeters, proposing a two-step network (TCPDNet) that improves image quality and Stokes parameter accuracy compared to existing methods.
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.