High Resolution Photography with an RGB-Infrared Camera

Huixuan Tang, Xiaopeng Zhang, Shaojie Zhuo, F. Chen, Kiriakos N. Kutulakos, Liang Shen
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引用次数: 32

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.
高分辨率摄影与rgb红外相机
一种方便的RGB-红外摄影解决方案是用近红外波段高透射率的第四种滤光片类型扩展基本的RGB马赛克。不幸的是,由于两个原因,将传统的去马赛克算法应用于RGB-IR传感器是不可能的。首先,RGB和近红外图像由于各自波段的折射率不同而聚焦不同。其次,制造限制引入了RGB和IR通道之间的串扰。本文提出了一种易于校准的新型RGB-IR相机图像形成模型,并提出了一种有效的算法,该算法使用二次图像正则器共同解决了信道去模糊、信道分离和像素去马赛克三个恢复问题。我们还扩展了我们的算法来处理更一般的正则化和像素饱和度。实验表明,我们的方法产生了清晰的、全分辨率的纯RGB颜色和红外图像。
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