We propose a density-map guidance to help the model deal with a wide range of frequencies. Our model outperforms state-of-the-art joint demosaicing and.
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In this paper, we propose a self-guidance network (SGNet), where the green channels are initially estimated and then works as a guidance to recover all missing ...
In this paper, we tackle the challenges of joint demosaicing and denoising (JDD) on such an image sensor by introducing a novel learning-based method.
This paper proposes a self-guidance network (SGNet), where the green channels are initially estimated and then works as a guidance to recover all missing ...
We propose a density-map guidance to help the model deal with a wide range of frequencies. Our model outperforms state-of-the-art joint demosaicing and.
In this paper, we propose a self-guidance network (SGNet), where the green channels are initially estimated and then works as a guidance to recover all missing ...
A joint demosaicing and denoising task refers to the task of simultaneously reconstructing and denoising a color image from a patterned image obtained by a ...
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This paper proposes a novel technique to combine demosaicing and denoising procedures systematically into a single operation by exploiting their obvious ...
In this paper, we propose a novel end-to-end network for joint demosaicking and denoising (JDD) with mutual guidance of color channels (MGCC).
This work has developed a GAN-based approach toward image demosacing in which a discriminator network with both perceptual and adversarial loss functions ...