The recent development of the on-chip micro-polarizer technology has made it
possible to acquire four spatially aligned and temporally synchronized
polarization images with the same ease of operation as a conventional camera.
In this paper, we investigate the use of this sensor technology in
high-dynamic-range (HDR) imaging. Specifically, observing that natural light
can be attenuated differently by varying the orientation of the polarization
filter, we treat the multiple images captured by the polarization camera as a
set captured under different exposure times. In our approach, we first study
the relationship among polarizer orientation, degree and angle of polarization
of light to the exposure time of a pixel in the polarization image.
Subsequently, we propose a deep snapshot HDR reconstruction framework to
recover an HDR image using the polarization images. A polarized HDR dataset is
created to train and evaluate our approach. We demonstrate that our approach
performs favorably against state-of-the-art HDR reconstruction algorithms.

本研究探讨了利用微型极化器技术进行高动态范围成像，通过对不同极化滤镜角度获取的多张图像进行不同曝光时间的拟合，最终提出了一种基于深度快照的 HDR 重建算法，并创建了数据集进行验证，结果表明该方法超越了现有最先进的 HDR 重建算法。