Title :
High Resolution Photography with an RGB-Infrared Camera
Author :
Huixuan Tang ; Xiaopeng Zhang ; Shaojie Zhuo ; Feng Chen ; Kutulakos, Kiriakos N. ; Liang Shen
Author_Institution :
Univ. of Toronto, Toronto, ON, Canada
Abstract :
A convenient solution to RGB-Infrared photography is to extend the basic RGB mosaic with a fourth filter type with high transmittance in the near-infrared band. Unfortunately, applying conventional demosaicing algorithms to RGB-IR sensors is not possible for two reasons. First, the RGB and near-infrared image are differently focused due to different refractive indices of each band. Second, manufacturing constraints introduce crosstalk between RGB and IR channels. In this paper we propose a novel image formation model for RGB-IR cameras that can be easily calibrated, and propose an efficient algorithm that jointly addresses three restoration problems - channel deblurring, channel separation and pixel demosaicing - using quadratic image regularizers. We also extend our algorithm to handle more general regularizers and pixel saturation. Experiments show that our method produces sharp, full-resolution images of pure RGB color and IR.
Keywords :
colour photography; image colour analysis; image resolution; image restoration; image segmentation; infrared imaging; RGB-IR camera; RGB-infrared camera; RGB-infrared photography; channel deblurring; channel separation; high resolution photography; image formation model; pixel demosaicing; quadratic image regularizer; restoration problem; Cameras; Crosstalk; Image color analysis; Image restoration; Kernel; Lenses; Sensors;
Conference_Titel :
Computational Photography (ICCP), 2015 IEEE International Conference on
Conference_Location :
Houston,TX
DOI :
10.1109/ICCPHOT.2015.7168367