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 …

As the popularity of mobile photography is growing constantly, lots of efforts are being
invested now into building complex hand-crafted camera ISP solutions. In this work, we …

As the popularity of mobile photography continues to grow, considerable effort is being
invested in the reconstruction of degraded images. Due to the spatial variation in optical …

Correcting the optical aberrations and the manufacturing deviations of cameras is a
challenging task. Due to the limitation on volume and the demand for mass production …

We introduce a machine learning approach to demosaicing, the reconstruction of color
images from incomplete color filter array samples. There are two challenges to overcome by …

Demosaicing is an important first step for color image acquisition. For practical reasons,
demosaicing algorithms have to be both efficient and yield high quality results in the …

Low-light imaging is a challenging task because of the excessive photon shot noise. Color
imaging in low-light is even more difficult because one needs to demosaick and denoise …

A conventional camera performs various signal processing steps sequentially to reconstruct
an image from a raw Bayer image. When performing these processing in multiple stages the …

Joint demosaicking and denoising consists in reconstructing a color image from the noisy
raw data output by the sensor of a digital camera. We adopt a variational formulation in …

Images fed to a deep neural network have in general undergone several handcrafted image
signal processing (ISP) operations, all of which have been optimized to produce visually …