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Computational Color Imaging

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Cover of 'Computational Color Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Color and Spectral Mixings in Printed Surfaces
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    Chapter 2 An Overview of Color Name Applications in Computer Vision
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    Chapter 3 Optics and Computational Methods for Hybrid Resolution Spectral Imaging
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    Chapter 4 Relative Pose Estimation and Fusion of 2D Spectral and 3D Lidar Images
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    Chapter 5 Representation of Cultural Objects by Image Sets with Directional Illumination
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    Chapter 6 Descriptor-Based Image Colorization and Regularization
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    Chapter 7 Experimental Analysis for Modeling Color of Halftone Images
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    Chapter 8 Development of a Dynamic Relighting System for Moving Planar Objects with Unknown Reflectance
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    Chapter 9 Collection, Analysis and Representation of Memory Color Information
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    Chapter 10 The Display Gamut Available to Simulate Colors Perceived by Anomalous Trichromats
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    Chapter 11 Visual Search for Normal Color and Dichromatic Observers Using a Unique Distracter Color
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    Chapter 12 First Stage of a Human Visual System Simulator: The Retina
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    Chapter 13 The Color Logarithmic Image Processing (CoLIP) Antagonist Space and Chromaticity Diagram
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    Chapter 14 Does Color Influence Image Complexity Perception?
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    Chapter 15 Adaptive Filters for Color Images: Median Filtering and Its Extensions
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    Chapter 16 Can Linear Data Projection Improve Hyperspectral Face Recognition?
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    Chapter 17 Spectral Impulse Noise Model for Spectral Image Processing
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    Chapter 18 Evaluation of the Colorimetric Performance of Single-Sensor Image Acquisition Systems Employing Colour and Multispectral Filter Array
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    Chapter 19 High-Resolution Multispectral Scanning for Mesoscopic Investigation of Discoloration of Traditional Japanese Pigments
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    Chapter 20 Data Fusion of Objects Using Techniques Such as Laser Scanning, Structured Light and Photogrammetry for Cultural Heritage Applications
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    Chapter 21 Accuracy in Colour Reproduction: Using a ColorChecker Chart to Assess the Usefulness and Comparability of Data Acquired with Two Hyper-Spectral Systems
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    Chapter 22 Estimating the Colors of Paintings
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Title
Computational Color Imaging
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-15979-9
ISBNs
978-3-31-915978-2, 978-3-31-915979-9
Editors

Alain Trémeau, Raimondo Schettini, Shoji Tominaga

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Switzerland 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Student > Bachelor 7 13%
Researcher 6 11%
Student > Postgraduate 4 7%
Professor > Associate Professor 4 7%
Other 11 20%
Unknown 11 20%
Readers by discipline Count As %
Engineering 9 16%
Computer Science 9 16%
Agricultural and Biological Sciences 5 9%
Neuroscience 3 5%
Earth and Planetary Sciences 2 4%
Other 15 27%
Unknown 12 22%