… ) is called demosaicing. In this paper, we propose a novel training-based approach for computing
… Both subjective and objective evaluations show that the proposed demosaic algorithm …

… proposed cycle-consistent adversarial training based on RGB reconstructions. Additionally,
… Graph and rank regularized matrix recovery for snapshot spectral image demosaicing. IEEE …

… (or demosaicing) models focus primarily on standard Bayer CFAs. In this study, we present
PyNET-Q×Q, a lightweight demosaicing … training based on teachers’ gradients. Liu et al. [54…

… , a demosaicing strategy has to be applied. In this paper we propose a content adaptive
demosaicing … The proposed method aims to reconstruct a high quality demosaiced image from a …

… In this article, we first formulate the multispectral demosaicing problem as a compressive
spectral imaging problem. Then, a novel deep spectral image prior is introduced as the …

… Most demosaicing algorithms can be broadly … demosaicing algorithms still tend to produce
artifacts at high-saturation edges. In this paper we propose a new approach to demosaicing - …

… demosaicing network Gd that outputs demosaiced images for all measured MS channels.
Those demosaiced … Training-based spectral reconstruction from a single rgb image. In ECCV, …

… Der Schritt, die örtliche Auflösung der einzelnen Subpixel auf die ursprüngliche Auflösung
der Kamera wieder hochzurechnen, wird als Demosaicing bezeichnet und bildet bis heute ein …

… Many training-based spectral estimation methods have been proposed in recent years [5–13…
the Bayer image demosaicing process. It should be noted that the demosaicing test in this …

… It saves the separate demosaicing process required by other … [18] proposed a training-based
method, which implements a … To obtain the full-resolution RGB images, demosaicing …