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Advanced Color Image Processing and Analysis
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Vorliegende Sprache
eng
ISBN
978-1-4419-6189-1
Name
Fernandez-Maloigne, Christine
T I T E L
Advanced Color Image Processing and Analysis
Verlagsort
New York, NY
Verlag
Springer
Erscheinungsjahr
2013
2013
Umfang
Online-Ressource (VIII, 515 p. 222 illus., 162 illus. in color, digital)
Reihe
SpringerLink. Bücher
Notiz / Fußnoten
Description based upon print version of record
Weiterer Inhalt
Advanced Color Image Processing and Analysis; Preface; Contents; Chapter 1 Fundamentals of Color; 1.1 Everything Starts with Light; 1.2 Development of Color Theory; 1.3 Physical Attributes of Color; 1.4 Standard Color Representation; 1.5 Metamerism; 1.6 Measuring Physical Property or Perceptual Attribute of Color; 1.7 Color Spaces: Linear and NonLinear Scales; 1.8 Concluding Remarks; References; Chapter 2 CIECAM02 and Its Recent Developments; 2.1 Introduction; 2.2 Viewing Conditions and Colour Appearance Attributes; 2.2.1 Viewing Conditions; 2.2.1.1 Stimulus; 2.2.1.2 Proximal Field. 2.2.1.3 Reference White2.2.1.4 Background; 2.2.1.5 Surround; 2.2.1.6 Adapting Field; 2.2.2 Colour Appearance Attributes; 2.2.2.1 Brightness (Q); 2.2.2.2 Lightness (J); 2.2.2.3 Colourfulness (M); 2.2.2.4 Chroma (C); 2.2.2.5 Saturation (S); 2.2.2.6 Hue (H and H); 2.3 Colour Appearance Data Sets; 2.4 Chromatic Adaptation Transforms; 2.4.1 Light and Chromatic Adaptation; 2.4.2 Physiological Mechanisms; 2.4.3 Von Kries Chromatic Adaptation; 2.4.4 Advanced Cats: Bradford, CMCCAT20000 and CAT02; 2.4.4.1 Bfd Transform [20]; 2.4.4.2 Cmccat2000; 2.5 Colour Appearance Phenomena; 2.5.1 Hunt Effect. 2.5.2 Stevens Effect2.5.2.1 Surround Effect; 2.5.3 Lightness Contrast Effect; 2.5.4 Helmholtz-Kohlrausch Effect; 2.5.5 Helson-Judd Effect; 2.6 Recent Developments of CIECAM02; 2.6.1 CIECAM02-Based Colour Spaces; 2.6.2 Size Effect Predictions Based on CIECAM02; 2.6.3 Unrelated Colour Appearance Prediction Based on CIECAM02; 2.6.4 Problems with CIECAM02; 2.6.4.1 Mathematical Failure; 2.6.4.2 CIECAM02 Domain is Smaller than that of ICC Profile Connection Space; 2.6.4.3 The HPE Matrix; ; 2.6.4.4 The Brightness Function; 2.7 Conclusion; References; Chapter 3 Colour Difference Evaluation. 3.1 Introduction3.2 The CIE Recommended Colour-Difference Formulas; 3.3 Advanced Colour-Difference Formulas; 3.4 Relationship Between Visual and Computed Colour Differences; 3.5 Colour Differences in Complex Images; 3.6 Future Directions; References; Chapter 4 Cross-Media Color Reproduction and Display Characterization; 4.1 Introduction; 4.2 Cross-Media Color Reproduction; 4.2.1 Color Management Systems; 4.2.2 Device Colorimetric Characterization; 4.2.2.1 Characterization of Input Devices; 4.2.2.2 Characterization of Output Devices; 4.2.3 Color Gamut Considerations. 4.3 Display Color Characterization4.3.1 State of the Art; 4.3.1.1 3D LUT Models; 4.3.1.2 Numerical Models; 4.3.1.3 Physical Models; 4.3.1.4 The Case of Subtractive Displays; 4.3.2 Physical Models; 4.3.2.1 Display Color Characterization Models; 4.3.2.2 Response Curve Retrieval; 4.3.2.3 Colorimetric Transform; 4.3.2.4 Piecewise Linear Model Assuming Variation in Chromaticity; 4.4 Model Inversion; 4.4.1 State of the Art; 4.4.2 Practical Inversion; 4.4.3 Indirect Inversion; 4.5 Quality Evaluation; 4.5.1 Purpose; 4.5.2 Quality; 4.5.2.1 Evaluation; 4.5.2.2 Quantitative Evaluation. 4.5.3 Color Correction
Titelhinweis
Buchausg. u.d.T.ISBN: 978-1-441-96189-1
ISBN
ISBN 978-1-4419-6190-7
Klassifikation
TTBM
UYS
TEC008000
COM073000
621.367
621.382
TK5102.9
TA1637-1638
TK7882.S65
Kurzbeschreibung
This volume does much more than survey modern advanced color processing. Starting with a historical perspective on ways we have classified color, it sets out the latest numerical techniques for analyzing and processing colors, the leading edge in our search to accurately record and print what we see. The human eye perceives only a fraction of available light wavelengths, yet we live in a multicolor world of myriad shining hues. Colors rich in metaphorical associations make us "purple with rage" or "green with envy" and cause us to "see red." Defining colors has been the work of centuries, culminating in today's complex mathematical coding that nonetheless remains a work in progress: only recently have we possessed the computing capacity to process the algebraic matrices that reproduce color more accurately. With chapters on dihedral color and image spectrometers, this book provides technicians and researchers with the knowledge they need to grasp the intricacies of today's color imaging
2. Kurzbeschreibung
This volume does much more than survey modern advanced color processing. Starting with a historical perspective on ways we have classified color, it sets out the latest numerical techniques for analyzing and processing colors, the leading edge in our search to accurately record and print what we see. The human eye perceives only a fraction of available light wavelengths, yet we live in a multicolor world of myriad shining hues. Colors rich in metaphorical associations make us "purple with rage or "green with envy and cause us to "see red. Defining colors has been the work of centuries, culminating in todays complex mathematical coding that nonetheless remains a work in progress: only recently have we possessed the computing capacity to process the algebraic matrices that reproduce color more accurately. With chapters on dihedral color and image spectrometers, this book provides technicians and researchers with the knowledge they need to grasp the intricacies of todays color imaging.
SWB-Titel-Idn
373362935
Signatur
Springer E-Book
Bemerkungen
Elektronischer Volltext - Campuslizenz
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$uhttp://dx.doi.org/10.1007/978-1-4419-6190-7
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