Learning a convolutional demosaicing network for microgrid polarimeter imagery

Junchao Zhang, Jianbo Shao, Haibo Luo, Xiangyue Zhang, Bin Hui, Zheng Chang, Rongguang Liang

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


We propose a polarization demosaicing convolutional neural network to address the image demosaicing issue, the last unsolved issue in microgrid polarimeters. This network learns an end-to-end mapping between the mosaic images and full-resolution ones. Skip connections and customized loss function are used to boost the performance. Experimental results show that our proposed network outperforms other state-of-the-art methods by a large margin in terms of quantitative measures and visual quality.

Original languageEnglish (US)
Pages (from-to)4534-4537
Number of pages4
JournalOptics letters
Issue number18
StatePublished - Sep 15 2018

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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