Computational Color Imaging

We would like to welcome you to the proceedings of CCIW 2009, the Computational Color Imaging Workshop, held in Saint-Etienne, France, March 2627, 2009. This, the second CCIW, was organized by the University Jean Monnet and the - boratoire Hubert Curien UMR 5516 (Saint-Etienne, France) with the endorsement of the International Association for Pattern Recognition (IAPR), the French Association for Pattern Recognition and Interpretation (AFRIF) affiliated with IAPR, and the "Groupe Français de l'Imagerie Numérique Couleur" (GFINC). The first CCIW was organized in 2007 in Modena, Italy, with the endorsement of IAPR. This workshop was held along with the International Conference on Image Analysis and Processing (ICIAP), the main conference on image processing and pattern recognition organized every two years by the Group of Italian Researchers on Pattern Recognition (GIRPR) affiliated with the International Association for Pattern Recognition (IAPR). Our first goal, since we began the planning of the workshop, was to bring together engineers and scientists from various imaging companies and from technical com- nities all over the world to discuss diverse aspects of their latest work, ranging from theoretical developments to practical applications in the field of color imaging, color image processing and analysis. The workshop was therefore intended for researchers and practitioners in the digital imaging, multimedia, visual communications, computer vision, and consumer electronic industry, who are interested in the fundamentals of color image processing and its emerging applications.

Klappentext

This book constitutes the thoroughly refereed proceedings of the Second Computational Color Imaging Workshop, CCIW 2009, which was held in Saint-Etienne, France, in March 2009.

The 23 revised full papers, presented together with one invited paper, were carefully reviewed and selected from 40 submissions. The papers, which contain a total of 114 colored figures, are oganized in topical sections on computational color vision models; color constancy; color image/video indexing and retrieval; color image filtering and enhancement; color reproduction (printing, scanning, displays); and multi-spectral, high-resolution and high dynamic range imaging.

Inhalt
Invited Talk.- Color Information Processing in Higher Brain Areas.- Computational Color Vision Models.- Spatio-temporal Tone Mapping Operator Based on a Retina Model.- Colour Representation in Lateral Geniculate Nucleus and Natural Colour Distributions.- Color Constancy.- Color Constancy Algorithm Selection Using CART.- Illuminant Change Estimation via Minimization of Color Histogram Divergence.- Illumination Chromaticity Estimation Based on Dichromatic Reflection Model and Imperfect Segmentation.- Color Image/Video Indexing and Retrieval.- An Improved Image Re-indexing Technique by Self Organizing Motor Maps.- KANSEI Based Clothing Fabric Image Retrieval.- A New Spatial Hue Angle Metric for Perceptual Image Difference.- Structure Tensor of Colour Quaternion Image Representations for Invariant Feature Extraction.- Color Image Filtering and Enhancement.- Non-linear Filter Response Distributions of Natural Colour Images.- Perceptual Color Correction: A Variational Perspective.- A Computationally Efficient Technique for Image Colorization.- Texture Sensitive Denoising for Single Sensor Color Imaging Devices.- Color Reproduction (Printing, Scanning, Displays).- Color Reproduction Using Riemann Normal Coordinates.- Classification of Paper Images to Predict Substrate Parameters Prior to Print.- A Colorimetric Study of Spatial Uniformity in Projection Displays.- Color Stereo Matching Cost Applied to CFA Images.- JBIG for Printer Pipelines: A Compression Test.- Synthesis of Facial Images with Foundation Make-Up.- Multi-spectral, High-Resolution and High Dynamic Range Imaging.- Polynomial Regression Spectra Reconstruction of Arctic Charr's RGB.- An Adaptive Tone Mapping Algorithm for High Dynamic Range Images.- Material Classification for Printed Circuit Boards by Spectral Imaging System.- Supervised Local Subspace Learning for Region Segmentation and Categorization in High-Resolution Satellite Images.