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 …

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

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 …

Abstract Image Signal Processors (ISPs) play important roles in image recognition tasks as
well as in the perceptual quality of captured images. In most cases, experts make a lot of …

Deep learning (DL) models have been recently widely used to extract task-oriented patterns
from large scale of datasets, and to improve the data image understanding and analysis …

Auto-white balance (AWB) correction is a critical operation in image signal processors for
accurate and consistent color correction across various illumination scenarios. This paper …

To tackle the challenges of edge image processing scenarios, we have developed a novel
heterogeneous image signal processor (HISP) pipeline combining the advantages of …

Style may refer to different concepts (eg painting style, hairstyle, texture, color, filter, etc.)
depending on how the feature space is formed. In this work, we propose a novel idea of …

We recently proposed a color constancy method based on the observations that the human
visual system might be" discounting the illuminant" by using space-average color and the …

Current learning-based color constancy methods are typically employed to find camera-
specific illuminant mappings. Consequently, these methods exhibit poor generalization to …