mlsanityData to 7 Oct 2026

Two-Step Color-Polarization Demosaicking Network

arXiv 2209.06027 ↗First posted 13 Sep 2022eess.IV cs.CVcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 6 of its 19 references that are in the map. First posted on arXiv 13 Sep 2022.

Builds on

6 of 19 references.

References · 6

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2016Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Networkcited by 1,199
  4. 2020Polarimetric Multi-View Inverse Renderingcited by 28
  5. 2020Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolationcited by 15
  6. 2018Embedded polarizing filters to separate diffuse and specular reflectioncited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 7.

9 papers.