This book constitutes the refereed proceedings of the 8th International Workshop on Computational Color Imaging, CCIW 2024, held in Milan, Italy, in September 2024. They are grouped into the following topics: color theory and spaces; image enhancement and retinex theory; perceptual quality, medical imaging, and art applications;

.- 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.