Computational Color Imaging

8th International Workshop, CCIW 2024, Milan, Italy, September 25¿27, 2024, Proceedings
2024
ISBN: 978-3-031-72844-0
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 15193, 290 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 8th International Workshop on Computational Color Imaging, CCIW 2024, held in Milan, Italy, in September 2024. 

The 18 full papers presented in this volume were carefully reviewed and selected from 21 submissions. In addition, the proceedings include 2 invited papers. 

They are grouped into the following topics: color theory and spaces; image enhancement and retinex theory; hyperspectral and spectral imaging; printing and machine learning applications; perceptual quality, medical imaging, and art applications; color constancy.

Zielgruppe

Research

Autoren/Hrsg.

Schettini, Raimondo

Trémeau, Alain

Buzzelli, Marco

Tominaga, Shoji

Bianco, Simone

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit

Inhaltsverzeichnis

.- 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.