Computational Color Imaging

.- Color Theory and Spaces.

.- Atomic color: from points to probability distributions.

.- Extended Wien and Planck Loci.

.- Uniform Color Space with Advanced Hue Linearity: PCS23-UCS.

.- Color difference in context: an experiment.

.- Image Enhancement and Retinex Theory.

.- Exploiting Milano Retinex Contrast to Enhance Images with Strong
Changes of Light Intensity.

.- Intrinsic Image Decomposition based on Retinex Theory, Superpixel
Segmentation and Scale-Space Computations.

.- Hyperspectral and Spectral Imaging.

.- VNIR and SWIR hyperspectral imaging for the study of Picasso paintings.

.- Stabilization of the spectral power distribution of a tunable
multichannel LED lighting system.

.- Low light hyperspectral imaging using HDR methods.

.- Spectral Imaging Methods for Estimating Fluorescence Emission
Spectra from Plant Grains and Leaves.

.- Stitching from spectral filter array video sequences.

.- Printing and Machine Learning Applications.

.- Dithering with Pascal Cellular Automata.

.- From Gutenberg to Llamas: print optimization through first principles
and AI.

.- Instance-based CycleGAN for object segmentation with few annotations.

.- ChromaPose: Robustness of 2D Pose Estimation Under Different Color
Illuminations.

.- Perceptual Quality, Medical Imaging, and Art Applications.

.- Investigation of Image Features for Perceptually Equivalent Gloss
Reproduction through Comparison of Real Objects and Images.

.- Classification of lung nodules on CT via pseudo-colour images and deep
features from pre-trained convolutional networks.

.- Painter Verification Using Color Palettes: An Exploratory Study.

.- Color Constancy.

.- Illuminant Equivariant Networks for Computational Color Constancy.

.- Revisiting Color Constancy Using CNNs: Including Recent Observations.

.- Enforcing temporal consistency for color constancy in video sequences.