This paper reviews the NTIRE 2022 challenge on night photography rendering. The
challenge solicited solutions that processed RAW camera images captured in night scenes …

The red spectrum is saliently attenuated due to the absorption and scattering properties of
water. The acquired underwater images show severe color cast in underwater scenes. In …

This paper presents a review of the NTIRE 2023 challenge on night photography rendering.
The goal of the challenge was to find solutions that process raw camera images taken in …

We introduce a deep learning approach to realistically edit an sRGB image's white balance.
Cameras capture sensor images that are rendered by their integrated signal processor (ISP) …

While modern deep neural networks (DNNs) achieve state-of-the-art results for illuminant
estimation, it is currently necessary to train a separate DNN for each type of camera sensor …

Color constancy is an essential function in digital photography and a fundamental process
for many computer vision applications. Accordingly, many methods have been proposed …

Abstract We present" Cross-Camera Convolutional Color Constancy"(C5), a learning-based
method, trained on images from multiple cameras, that accurately estimates a scene's …

Auto white balance (AWB) is applied by camera hardware at capture time to remove the
color cast caused by the scene illumination. The vast majority of white-balance algorithms …

In this paper, we describe a new large dataset for illumination estimation. This dataset,
called INTEL-TAU, contains 7022 images in total, which makes it the largest available high …

Retinex theory was first proposed by Land and McCann [1], where retinex is a portmanteau
derived from the words of retina and cortex, implying that both the retina and cerebral cortex …