论文标题
对旧难题的评论：首先进行演示，还是先降级？
A Review of an Old Dilemma: Demosaicking First, or Denoising First?
论文作者
论文摘要
图像DeNoising和Demosaicking是数码相机管道中最重要的早期阶段。它们构成了一个严重的问题，旨在从嘈杂的颜色滤清器阵列（CFA）图像重建完整的图像。在大多数文献中，不考虑它们的相互作用，或询问应首先应用哪个相互作用，将其视为两个独立问题。最近的几项工作开始在涉及重量CNN的作品中共同解决它们，因此与低功率便携式成像设备不相容。因此，如何将denoising和demosaick的重建完整图像结合在一起的问题仍然非常相关：是要首先应用的deno，还是首先要进行演示？在本文中，我们回顾了这些策略的主要变体，并进行了广泛的评估，以找到从嘈杂的马赛克重建全彩色图像的最佳方法。我们得出的结论是，演示性应该首先应用，然后是denoing。然而，我们证明这需要对经典的Denoing算法进行改编，以使我们证明和指定的噪声。
Image denoising and demosaicking are the most important early stages in digital camera pipelines. They constitute a severely ill-posed problem that aims at reconstructing a full color image from a noisy color filter array (CFA) image. In most of the literature, denoising and demosaicking are treated as two independent problems, without considering their interaction, or asking which should be applied first. Several recent works have started addressing them jointly in works that involve heavy weight CNNs, thus incompatible with low power portable imaging devices. Hence, the question of how to combine denoising and demosaicking to reconstruct full color images remains very relevant: Is denoising to be applied first, or should that be demosaicking first? In this paper, we review the main variants of these strategies and carry-out an extensive evaluation to find the best way to reconstruct full color images from a noisy mosaic. We conclude that demosaicking should applied first, followed by denoising. Yet we prove that this requires an adaptation of classic denoising algorithms to demosaicked noise, which we justify and specify.
