English

PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution

Computer Vision and Pattern Recognition 2025-04-23 v2 Image and Video Processing

Abstract

Polarization cameras can capture multiple polarized images with different polarizer angles in a single shot, bringing convenience to polarization-based downstream tasks. However, their direct outputs are color-polarization filter array (CPFA) raw images, requiring demosaicing to reconstruct full-resolution, full-color polarized images; unfortunately, this necessary step introduces artifacts that make polarization-related parameters such as the degree of polarization (DoP) and angle of polarization (AoP) prone to error. Besides, limited by the hardware design, the resolution of a polarization camera is often much lower than that of a conventional RGB camera. Existing polarized image demosaicing (PID) methods are limited in that they cannot enhance resolution, while polarized image super-resolution (PISR) methods, though designed to obtain high-resolution (HR) polarized images from the demosaicing results, tend to retain or even amplify errors in the DoP and AoP introduced by demosaicing artifacts. In this paper, we propose PIDSR, a joint framework that performs complementary Polarized Image Demosaicing and Super-Resolution, showing the ability to robustly obtain high-quality HR polarized images with more accurate DoP and AoP from a CPFA raw image in a direct manner. Experiments show our PIDSR not only achieves state-of-the-art performance on both synthetic and real data, but also facilitates downstream tasks.

Keywords

Cite

@article{arxiv.2504.07758,
  title  = {PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution},
  author = {Shuangfan Zhou and Chu Zhou and Youwei Lyu and Heng Guo and Zhanyu Ma and Boxin Shi and Imari Sato},
  journal= {arXiv preprint arXiv:2504.07758},
  year   = {2025}
}

Comments

CVPR 2025

R2 v1 2026-06-28T22:53:40.687Z