UAV remote sensing image stitching can provide a more comprehensive and continuous
area by stitching several overlap** region images. It has been widely used in many fields …

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 …

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 …

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 …

In this paper, we propose a novel white balance adjustment for multi-illuminant scenes,
called “N-white balancing,” in which source white points are mapped into a ground truth one …

High dynamic range (HDR) imaging involves capturing a series of frames of the same
scene, each with different exposure settings, to broaden the dynamic range of light. This can …

Most modern smartphones are now equipped with two rear-facing cameras--a main camera
for standard imaging and an additional camera to provide wide-angle or telephoto zoom …

The unstable light source in the printing and dyeing environment would cause the change of
fabric surface color and lead to serious color difference evaluation error. To solve this …

We introduce a convolutional framework (CF) for computational color constancy, building
upon the established low-level image feature-based framework, which utilized simple image …