Demosaicking is the process of reconstructing a full-resolution color image from the sampled
data acquired by a digital camera that apply a color filter array to a single sensor. This paper …

We present DeepISP, a full end-to-end deep neural model of the camera image signal
processing pipeline. Our model learns a mapping from the raw low-light mosaiced image to …

We propose in this paper to unify two different approaches to image restoration: On the one
hand, learning a basis set (dictionary) adapted to sparse signal descriptions has proven to …

Image demosaicing is a problem of interpolating full-resolution color images from so-called
color-filter-array (CFA) samples. Among various CFA patterns, Bayer pattern has been the …

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 …

A color difference interpolation technique is widely used for color image demosaicking. In
this paper, we propose residual interpolation as an alternative to the color difference …

Single-sensor digital color cameras use a process called color demosaicking to produce full
color images from the data captured by a color filter array (CFA). The quality of demosaicked …

Demosaicking is the process by which from a matrix of colored pixels measuring only one
color component per pixel, red, green, or blue, one can infer a whole color information at …

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 …