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Robust Joint Image Reconstruction from Color and Monochrome Cameras
- Source :
- LNCS, BMVC 2019-30th British Machine Vision Conference, BMVC 2019-30th British Machine Vision Conference, Sep 2019, Cardiff, United Kingdom
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
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Abstract
- International audience; 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.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- LNCS, BMVC 2019-30th British Machine Vision Conference, BMVC 2019-30th British Machine Vision Conference, Sep 2019, Cardiff, United Kingdom
- Accession number :
- edsair.dedup.wf.001..89e89b87576f811756dca3bfaacf6a10