The advances in deep generative models have greatly accelerate the process of video
procession such as video enhancement and synthesis. Learning spatio-temporal video …

In daily life, the acquisition of digital video will introduce non-uniform exposure due to the set
of shooting equipment or scene illumination. Due to the low visibility, details are hidden and …

Temporal color constancy (TCC) is a recent research direction that uses multiple temporally
correlated images (eg, frames in a video) to perform illuminant estimation. Compared to …

The field of computer graphics has made significant progress over the years, transforming
from simple, pixelated images to highly realistic visuals used across various industries …

With the invention of electric bulbs, human has been living under various illuminant
environments. Since the alternative current (AC) power is used for supplier of electric bulbs …

This doctor thesis shows the author's personal knowledge pieces about Color Constancy
world. We start from mathematical representation of image formation model, tell the …

We present an efficient combination strategy for color constancy algorithms. We define a
compact neural network architecture to process and combine the illuminant estimations of …

Illumination estimation is a highly challenging problem. Many methods are learning from
multi-image by unsupervised learning. However, these methods are based on unrelated …

Previous deep learning approaches to color constancy usually directly estimate illuminant
value from input image. Such approaches might suffer heavily from being sensitive to the …

Illuminant estimation plays a key role in digital camera pipeline system, it aims at reducing
color casting effect due to the influence of non-white illuminant. Recent researches handle …