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Computational Color Imaging : 8th International Workshop, CCIW 2024, Milan, Italy, September 25-27, 2024, Proceedings
Computational Color Imaging : 8th International Workshop, CCIW 2024, Milan, Italy, September 25-27, 2024, Proceedings
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ISBN No.: 9783031728440
Pages: xix, 290
Year: 202410
Format: Trade Paper
Price: $ 89.69
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

- 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.


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