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Image denoising and demosaicking are the most important early stages indigital camera pipelines. They constitute a severely ill-posed problem thataims 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 twoindependent problems, without considering their interaction, or asking whichshould be applied first. Several recent works have started addressing themjointly in works that involve heavy weight CNNs, thus incompatible with lowpower portable imaging devices. Hence, the question of how to combine denoisingand demosaicking to reconstruct full color images remains very relevant: Isdenoising to be applied first, or should that be demosaicking first? In thispaper, we review the main variants of these strategies and carry-out anextensive evaluation to find the best way to reconstruct full color images froma noisy mosaic. We conclude that demosaicking should applied first, followed bydenoising. Yet we prove that this requires an adaptation of classic denoisingalgorithms to demosaicked noise, which we justify and specify.

A Review of an Old Dilemma: Demosaicking First, or Denoising First?