Electrohydrodynamic (EHD) processes are promising healthcare fabrication technologies,
as evidenced by the number of commercialised and food-and-drug administration (FDA) …

Most digital camera pipelines use color constancy methods to reduce the influence of
illumination and camera sensor on the colors of scene objects. The highest accuracy of color …

We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness
and efficiency in illumination estimation. The grayness index, GI in short, is derived using the …

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 …

Annotated datasets for automatic white balance (AWB) are used for the evaluation and,
when necessary, the training, of AWB methods. Relying on such datasets requires …

Computational color constancy has the important task of reducing the influence of the scene
illumination on the object colors. As such, it is an essential part of the image processing …

Abstract Deep Convolutional Neural Networks (DNNs) have achieved superhuman
accuracy on standard image classification benchmarks. Their success has reignited …

To achieve computer vision color constancy (CVCC), it is vital but challenging to estimate
scene illumination from a digital image, which distorts the true color of an object. Estimating …

We present a statistical color constancy method that relies on novel gray pixel detection and
mean shift clustering. The method, called Mean Shifted Grey Pixel--MSGP, is based on the …

Neurophysiological evidence demonstrates that classical receptive field responses in the
primary visual cortex can be modulated by the non-classical receptive field. Although …