Computational Color Imaging
Springer International Publishing (Verlag)
978-3-030-13939-1 (ISBN)
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.Invited Talks.- Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks.- Computational Imaging in Projection Mapping.- On the Acquisition and Reproduction of Material Appearance.- Computational Color Imaging.- An Imaging System for Fourier Coefficients of Spectral Reflectance.- Finding a Colour Filter to Make a Camera Colorimetric by Optimisation.- Conditional Color Gamut for Color Management of Multiview Printed Images.- Multispectral Imaging.- Acquisition of 3D Data and Spectral Color by Using RGBD Camera and Programmable Light Source.- HDR Spectral Video Measurement System.- Spectral Estimation of Chromatically Adapted Corresponding Colors.- Perceptual Model and Application.- Using the Monge-Kantorovitch Transform in Chromagenic Color Constancy for Pathophysiology.- Chromatic Adaptation in Colour Management.- Web Browsers Colorimetric Characterization.- Color Image Evaluation.- Evaluation of Automatic Image Color Theme Extraction Methods.- Long-Term Face Image Analysis Based on Canonical Correlation Analysis on Physical and Psychological Evaluation of Face.- A Novel Digital-Camera Characterization Method for Pigment Identification in Cultural Heritage.- Color Image Filtering.- Learning Parametric Functions for Color Image Enhancement.- Haze Transfer Between Images Based on Dark Channel Prior.- Physically Plausible Dehazing for Non-physical Dehazing Algorithms.- Color Image Applications.- Evaluating CNN-based Semantic Food Segmentation Across Illuminants.- Color-base Damage Feature Enhanced Support Vector Classifier for Monitoring Quake Image.- Colorization of High-Frame-Rate Monochrome Videos Using Synchronized Low-Frame-Rate Color Data.- Color Imaging for Material Appearance.- Reflectance computation for a specular only V-cavity.- Makeup Skin Appearance Reproduction by Spectral Projection Mapping.- Evaluating the Material Appearance of Objects Under Different Lighting Distributions Against Natural Illumination.- Material Appearance Transfer with Visual Cortex Image.
Erscheinungsdatum | 21.02.2019 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XI, 349 p. 215 illus., 186 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 557 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • color image processing • Computer Networks • Computer Science • conference proceedings • image coding • Image Processing • image reconstruction • Image Segmentation • Informatics • Principal Component Analysis • principal components • Research • Signal Processing |
ISBN-10 | 3-030-13939-5 / 3030139395 |
ISBN-13 | 978-3-030-13939-1 / 9783030139391 |
Zustand | Neuware |
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