Robust Joint Image Reconstruction from Color and Monochrome Cameras
- Creators
- Li, Muxingzi
- Tu, Peihan
- Heidrich, Wolfgang
- Others:
- COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- Geometric Modeling of 3D Environments (TITANE) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- University of Maryland [College Park] ; University of Maryland System
- King Abdullah University of Science and Technology (KAUST)
- Susanna Donatelli, Stefan Haar
- ANR-18-CE25-0007,DCore,Debogage causal pour systèmes concurrents(2018)
Description
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.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-02370233
- URN
- urn:oai:HAL:hal-02370233v1
- Origin repository
- UNICA