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Robust Joint Image Reconstruction from Color and Monochrome Cameras

Abstract : Recent years have seen an explosion of the number of camera modules integratedinto individual consumer mobile devices, including configurations that contain multi-ple different types of image sensors. One popular configuration is to combine an RGBcamera for color imaging with a monochrome camera that has improved performancein low-light settings, as well as some sensitivity in the infrared. In this work we in-troduce a method to combine simultaneously captured images from such a two-camerastereo system to generate a high-quality, noise reduced color image. To do so, pixel-to-pixel alignment has to be constructed between the two captured monochrome and colorimages, which however, is prone to artifacts due to parallax. The joint image recon-struction is made robust by introducing a novel artifact-robust optimization formulation.We provide extensive experimental results based on the two-camera configuration of a commercially available cell phone.
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Submitted on : Tuesday, November 19, 2019 - 1:02:36 PM
Last modification on : Saturday, June 25, 2022 - 11:40:52 PM
Long-term archiving on: : Thursday, February 20, 2020 - 4:16:43 PM


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  • HAL Id : hal-02370233, version 1



Muxingzi Li, Peihan Tu, Wolfgang Heidrich. Robust Joint Image Reconstruction from Color and Monochrome Cameras. BMVC 2019 - 30th British Machine Vision Conference, Sep 2019, Cardiff, United Kingdom. ⟨hal-02370233⟩



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