Deep Snapshot HDR Reconstruction Based on the Polarization Camera
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 8 of its 24 references that are in the map. First posted on arXiv 12 May 2021.
Builds on
8 of 24 references.
References · 8
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- 2016Feature Pyramid Networks for Object Detectioncited by 5,036
- 2017HDR image reconstruction from a single exposure using deep CNNscited by 167
- 2020Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipelinecited by 132
- 2019Attention-guided Network for Ghost-free High Dynamic Range Imagingcited by 117
- 2018ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Contentcited by 89
- 2017CREST: Convolutional Residual Learning for Visual Trackingcited by 29
- 2020Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Arraycited by 3
Built on by
Citing papers per year: 2022: 3; 2023: 0; 2024: 1; 2025: 1; 2026: 2.
7 papers.
- 2022Perspective Phase Angle Model for Polarimetric 3D Reconstructioncited by 11
- 2022Simultaneous Acquisition of High Quality RGB Image and Polarization Information using a Sparse Polarization Sensorcited by 9
- 2024Learning to Deblur Polarized Imagescited by 5
- 2022Deep Polarimetric HDR Reconstructioncited by 1
- 2026Architectural Unification for Polarimetric Imaging Across Multiple Degradationscited by 1
- 2025A Luminance-Aware Multi-Scale Network for Polarization Image Fusion with a Multi-Scene Datasetcited by 0
- 2026IRPol-Fuse: Energy-structure coordination for infrared polarization fusion under low visibilitycited by 0
- 2026IRPol-Fuse: Energy-structure coordination for infrared polarization fusion under low visibility8 Aug 2026
- 2026Architectural Unification for Polarimetric Imaging Across Multiple Degradations6 Mar 2026
- 2025A Luminance-Aware Multi-Scale Network for Polarization Image Fusion with a Multi-Scene Dataset28 Oct 2025
- 2024Learning to Deblur Polarized Images28 Feb 2024
- 2022Simultaneous Acquisition of High Quality RGB Image and Polarization Information using a Sparse Polarization Sensor27 Sep 2022
- 2022Perspective Phase Angle Model for Polarimetric 3D Reconstruction20 Jul 2022
- 2022Deep Polarimetric HDR Reconstruction27 Mar 2022