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Deriving color images from noisy Bayer data using local demosaicking and non-local denoising

机译:使用局部去马赛克和非局部去噪从嘈杂的拜耳数据中获得彩色图像

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A widely used solution for cost effective and small cameras are single sensors with a color filter array (CFA). The most popular type of CFA is the Bayer color filter array. Only red, green and blue color components are passed to the sensor depending on their coordinates. In this paper a new method is presented to derive color images from noisy Bayer filtered data. The denoising and interpolation steps are done separately, using local techniques for color interpolation and non-local filters for denoising. The advantage of the method are less blurring and reduced color artifacts especially for highly textured images as compared to methods using local filtering for denoising.
机译:具有成本效益的小型相机的广泛使用的解决方案是带有彩色滤光片阵列(CFA)的单个传感器。 CFA最受欢迎的类型是拜耳彩色滤光片阵列。根据它们的坐标,只有红色,绿色和蓝色分量会传递到传感器。本文提出了一种从嘈杂的拜耳滤波数据中提取彩色图像的新方法。去噪和内插步骤是分别进行的,使用用于颜色插值的局部技术和用于去噪的非局部滤波器。与使用局部滤波进行降噪的方法相比,该方法的优点是模糊少,减少了伪影,特别是对于高纹理图像。

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