The discriminative model learning for image denoising has been recently attracting
considerable attentions due to its favorable denoising performance. In this paper, we take …

Image denoising and demosaicking are the first two crucial steps in digital camera pipelines.
In most of the literature, denoising and demosaicking are treated as two independent …

Usually located at the very early stages of the computational photography pipeline,
demosaicing and denoising play important parts in the modern camera image processing …

A division-of-focal-plane or microgrid image polarimeter enables us to acquire a set of
polarization images in one shot. Since the polarimeter consists of an image sensor …

In this paper, we propose residual interpolation (RI) as an alternative to color difference
interpolation, which is a widely accepted technique for color image demosaicking. Our …

Single-sensor imaging using the Bayer color filter array (CFA) and demosaicking is well
established for current compact and low-cost color digital cameras. An extension from the …

Color demosaicking plays a key role in digital imaging with a color filter array. Most existing
demosaicking methods are based on hand-crafted priors, which may exhibit unpleasant …

Convolutional neural networks are currently the state-of-the-art solution for a wide range of
image processing tasks. Their deep architecture extracts low-and high-level features from …

Deep convolutional neural networks offer state-of-the-art performance for medical image
analysis. However, their architectures are manually designed for particular problems. On the …

A color difference interpolation technique is widely used for color image demosaicking. In
this paper, we propose a minimized-laplacian residual interpolation (MLRI) as an alternative …