The availability of large-scale datasets has helped unleash the true potential of deep
convolutional neural networks (CNNs). However, for the single-image denoising problem …

The quantity and diversity of data in Light-Field videos makes this content valuable for many
applications such as mixed and augmented reality or post-production in the movie industry …

Images obtained under adverse weather conditions, such as haze or fog, typically exhibit
low contrast and faded colors, which may severely limit the visibility within the scene …

Optimal Transport (OT) is a very popular framework for performing colour transfer in images
and videos. We have proposed an alternative framework where the cost function used for …

It is an ill-posed problem to recover the true scene colors from a color biased image by
discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the same …

The task of color consistency correction for multiple images mainly arises from applications
like orthoimage producing, panoramic image stitching and 3D reconstruction. In these …

The white balance methods for sRGB images (sRGB-WB) aim to directly remove their color
temperature shifts. Despite achieving promising white balance (WB) performance, the …

Colour grading is an essential step in movie post‐production, which is done in the industry
by experienced artists on expensive edit hardware and software suites. This paper presents …

Color correction across multiple images for consistency is a challenging problem in image
mosaicking. To facilitate the global color optimization, existing methods mainly use less …

We present a color matching method that deals with different non-linear encodings. In
particular, given two different views of the same scene taken by two cameras with unknown …