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Conference Papers Year : 2019

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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Dates and versions

hal-02370233 , version 1 (19-11-2019)

Identifiers

  • HAL Id : hal-02370233 , version 1

Cite

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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