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Hybrid fusion and demosaicing algorithm with near-infrared image

机译:近红外图像混合融合与去马赛克算法

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摘要

In this paper, we propose a unified framework for color filter array (CFA) interpolation and visible/NIR image combination. The proposed method aims to reconstruct a high quality image from raw CFA data and the corresponding NIR image, similar to a multi-spectral fusion of color and NIR images. Based on NIR image, we impose a sparse constraint of gradient difference to modify the traditional color interpolation. The experiments indicate the effectiveness of our hybrid scheme to acquire joint color and NIR information in real-time, and show that this hybrid process can generate a better color image when compared with treating interpolation and fusion separately.
机译:在本文中,我们提出了用于彩色滤光片阵列(CFA)插值和可见/近红外图像组合的统一框架。所提出的方法旨在从原始CFA数据和相应的NIR图像重建高质量图像,类似于彩色和NIR图像的多光谱融合。基于NIR图像,我们对梯度差施加了稀疏约束来修改传统的颜色插值。实验表明我们的混合方案实时获取联合颜色和NIR信息的有效性,并且表明与单独处理插值和融合相比,该混合过程可以生成更好的彩色图像。

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