(Conference Paper) Deep Snapshot Hdr Reconstruction Based On The Polarization Camera
Juiwen Ting ¹, Xuesong Wu ², Kangkang Hu ³, Hong Zhang 张宏 ¹
¹ University of Alberta, Canada
² College of Intelligence Science and Technology, NUDT, China
国防科技大学 智能科学学院
³ Huawei Fields Lab, China
2021 IEEE International Conference on Image Processing (ICIP), 2021-08-23

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.
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