Hagen Nathan, Stockmans Thijs, Otani Yukitoshi, Buranasiri Prathan
Appl Opt. 2024 Mar 20;63(9):2314-2323. doi: 10.1364/AO.516696.
We review Fourier-domain methods for demosaicking Bayer-filter color cameras and monochrome polarization cameras, and then generalize the approach for the quad-Bayer-filter mosaic and for color-polarization cameras. For each of these four mosaic filter types, we provide theoretical expressions for the sampling functions, the Fourier-domain channels, and the linear combination of reconstructed channels (the demosaicking algorithm) needed to estimate the input (presampled) image. A useful advantage of the Fourier-domain approach is that it provides a direct means of visualizing and quantifying when aliasing is likely or unlikely to be present. For the Bayer and quad-Bayer-filter types, we provide simulated images, while for the polarization camera types we provide experimental images and videos to illustrate the algorithm and analyze crosstalk error.
我们回顾了用于拜耳滤镜彩色相机和单色偏振相机去马赛克的傅里叶域方法,然后将该方法推广到四拜耳滤镜马赛克和彩色偏振相机。对于这四种马赛克滤镜类型中的每一种,我们都给出了采样函数、傅里叶域通道以及估计输入(预采样)图像所需的重建通道线性组合(去马赛克算法)的理论表达式。傅里叶域方法的一个有用优势在于,它提供了一种直观的方式来可视化和量化何时可能出现或不太可能出现混叠现象。对于拜耳滤镜和四拜耳滤镜类型,我们给出了模拟图像,而对于偏振相机类型,我们给出了实验图像和视频,以说明算法并分析串扰误差。