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This book constitutes the refereed proceedings of the Third Computational Color Imaging Workshop, CCIW 2010, held in Milan, Italy, in April 2010. The 16 revised full papers, presented together with three invited papers, were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on computational photography, color and perception, color imaging, and computational imaging.
This book constitutes the refereed proceedings of the 7th Computational Color Imaging Workshop, CCIW 2019, held in Chiba, Japan, in March 2019. The 22 full papers presented in this volume were carefully reviewed and selected from 34 submissions. The papers are organized in topical sections named: computational color imaging; multispectral imaging; perceptual model and application; color image evaluation; colot image filtering; color image applications; and color imaging for material appearance. In addition, the book contains 3 invited talks in full paper length. .
This book constitutes the refereed proceedings of the 5th Computational Color Imaging Workshop, CCIW 2015, held in Saint-Étienne, France, in March 2015. The 17 revised full papers, presented together with 5 invited papers, were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on color reproduction, color sensation and perception, color image processing, spectral imaging, and color in digital cultural heritage.
This book constitutes the refereed proceedings of the 6th Computational Color Imaging Workshop, CCIW 2017, held in Milano, Italy, in March 2017. The 23 full papers, including 4 tutorials and 3 invited papers, accepted were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on color image processing; color image quality; color in digital cultural heritage; spectral imaging; color characterization; color image analysis.
Computational Colour Science Using MATLAB 2ndEdition offers a practical, problem-based approach to colourphysics. The book focuses on the key issues encountered in moderncolour engineering, including efficient representation of colourinformation, Fourier analysis of reflectance spectra and advancedcolorimetric computation. Emphasis is placed on the practicalapplications rather than the techniques themselves, with materialstructured around key topics. These topics include colourcalibration of visual displays, computer recipe prediction andmodels for colour-appearance prediction. Each topic is carefully introduced at three levels to aidstudent understanding. First, theoretical ideas and backgroundinformation are discussed, then explanations of mathematicalsolutions follow and finally practical solutions are presentedusing MATLAB. The content includes: A compendium of equations and numerical data required by themodern colour and imaging scientist. Numerous examples of solutions and algorithms for a wide-rangeof computational problems in colour science. Example scripts using the MATLAB programming language. This 2nd edition contains substantial new and revisedmaterial, including three innovative chapters on colour imaging,psychophysical methods, and physiological colour spaces; the MATLABtoolbox has been extended with a professional, optimized, toolboxto go alongside the current teaching toolbox; and a java toolboxhas been added which will interest users who are writing webapplications and/or applets or mobile phone applications. Computational Colour Science Using MATLAB 2ndEdition is an invaluable resource for students taking coursesin colour science, colour chemistry and colour physics as well astechnicians and researchers working in the area. In addition, itacts a useful reference for professionals and researchers workingin colour dependent industries such as textiles, paints, print& electronic imaging. Review from First Edition: “…highly recommended as a concise introduction to thepracticalities of colour science…” (Color Technology,2004)
This collective work identifies the latest developments in thefield of the automatic processing and analysis of digital colorimages. For researchers and students, it represents a critical state of theart on the scientific issues raised by the various stepsconstituting the chain of color image processing. It covers a wide range of topics related to computational colorimaging, including color filtering and segmentation, color texturecharacterization, color invariant for object recognition, color andmotion analysis, as well as color image and video indexing andretrieval. Contents 1. Color Representation and Processing in Polar Color Spaces,Jesús Angulo, Sébastien Lefèvre and OlivierLezoray. 2. Adaptive Median Color Filtering, FrédériqueRobert-Inacio and Eric Dinet. 3. Anisotropic Diffusion PDEs for Regularization of MultichannelImages: Formalisms and Applications, David Tschumperlé. 4. Linear Prediction in Spaces with Separate Achromatic andChromatic Information,Olivier Alata, Imtnan Qazi, Jean-ChristopheBurie and Christine Fernandez-Maloigne. 5. Region Segmentation, Alain Clément, Laurent Busin, OlivierLezoray and Ludovic Macaire. 6. Color Texture Attributes, Nicolas Vandenbroucke, Olivier Alata,Christèle Lecomte, Alice Porebski and Imtnan Qazi. 7. Photometric Color Invariants for Object Recognition, DamienMuselet. 8. Color Key Point Detectors and Local Color Descriptors, DamienMuselet and Xiaohu Song. 9. Motion Estimation in Color Image Sequences, Bertrand Augereauand Jenny Benois-Pineau.

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