Computational Color Imaging: Lecture Notes in Computer Science, cartea 11418
Editat de Shoji Tominaga, Raimondo Schettini, Alain Trémeau, Takahiko Horiuchien Limba Engleză Paperback – 20 feb 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.
Din seria Lecture Notes in Computer Science
- 20%
Preț: 558.53 lei - 20%
Preț: 571.88 lei - 20%
Preț: 675.83 lei - 20%
Preț: 1020.28 lei - 20%
Preț: 620.33 lei - 20%
Preț: 560.93 lei - 20%
Preț: 633.70 lei - 20%
Preț: 678.21 lei - 20%
Preț: 1359.66 lei - 20%
Preț: 560.93 lei - 20%
Preț: 733.68 lei - 20%
Preț: 793.92 lei - 15%
Preț: 558.12 lei - 20%
Preț: 793.92 lei - 20%
Preț: 560.93 lei - 20%
Preț: 748.63 lei - 20%
Preț: 562.49 lei - 20%
Preț: 1246.46 lei - 20%
Preț: 449.81 lei - 20%
Preț: 556.96 lei - 20%
Preț: 562.49 lei - 20%
Preț: 851.78 lei - 20%
Preț: 313.10 lei - 18%
Preț: 945.44 lei - 20%
Preț: 314.86 lei - 20%
Preț: 560.93 lei - 20%
Preț: 313.87 lei - 20%
Preț: 1033.45 lei - 20%
Preț: 563.29 lei - 20%
Preț: 733.68 lei - 20%
Preț: 1137.10 lei - 20%
Preț: 735.28 lei - 20%
Preț: 1079.23 lei - 20%
Preț: 560.11 lei - 20%
Preț: 791.54 lei - 15%
Preț: 672.87 lei - 20%
Preț: 1032.47 lei - 20%
Preț: 617.17 lei - 20%
Preț: 1022.15 lei - 20%
Preț: 984.64 lei - 20%
Preț: 620.33 lei - 20%
Preț: 979.25 lei - 20%
Preț: 402.28 lei - 20%
Preț: 316.28 lei - 20%
Preț: 636.06 lei - 20%
Preț: 320.24 lei - 20%
Preț: 328.94 lei
Preț: 325.44 lei
Preț vechi: 406.80 lei
-20%
Puncte Express: 488
Preț estimativ în valută:
57.54€ • 66.50$ • 49.71£
57.54€ • 66.50$ • 49.71£
Carte tipărită la comandă
Livrare economică 04-18 mai
Specificații
ISBN-13: 9783030139391
ISBN-10: 3030139395
Pagini: 364
Ilustrații: XI, 349 p. 215 illus., 186 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.55 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030139395
Pagini: 364
Ilustrații: XI, 349 p. 215 illus., 186 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.55 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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.