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Color constancy

Color constancy (4회 대출)

자료유형
단행본
개인저자
Ebner, Marc.
서명 / 저자사항
Color constancy / Marc Ebner.
발행사항
Chichester :   John Wiley ,   c2007.  
형태사항
xiv, 393 p. : ill. ; 25 cm.
총서사항
Wiley-IS&T series in imaging science and technology
ISBN
9780470058299 (hbk.) 0470058299 (hbk.)
서지주기
Includes bibliographical references and index.
일반주제명
Color vision.
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001 000045375885
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008 070628s2007 njua b 001 0 eng d
020 ▼a 9780470058299 (hbk.)
020 ▼a 0470058299 (hbk.)
035 ▼a (KERIS)BIB000010944405
040 ▼a 222001 ▼c 222001 ▼d 244002
082 0 4 ▼a 152.145 ▼2 22
090 ▼a 152.145 ▼b E16c
100 1 ▼a Ebner, Marc.
245 1 0 ▼a Color constancy / ▼c Marc Ebner.
260 ▼a Chichester : ▼b John Wiley , ▼c c2007.
300 ▼a xiv, 393 p. : ▼b ill. ; ▼c 25 cm.
440 0 ▼a Wiley-IS&T series in imaging science and technology
504 ▼a Includes bibliographical references and index.
650 0 ▼a Color vision.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/인문자료실1/ 청구기호 152.145 E16c 등록번호 151233638 도서상태 대출가능 반납예정일 예약 서비스 C

컨텐츠정보

목차

Series Preface.

Preface..

1 Introduction.

1.1 What is Color Constancy?

1.2 Classic Experiments.

1.3 Overview.

2 The Visual System.

2.1 Eye and Retina.

2.2 Visual Cortex.

2.3 On the Function of the Color Opponent Cells.

2.4 Lightness.

2.5 Color Perception Correlates with Integrated Reflectances.

2.6 Involvement of the Visual Cortex in Color Constancy.

3 Theory of Color Image Formation.

3.1 Analog Photography.

3.2 Digital Photography.

3.3 Theory of Radiometry.

3.4 Reflectance Models.

3.5 Illuminants.

3.6 Sensor Response.

3.7 Finite Set of Basis Functions.

4 Color Reproduction.

4.1 Additive and Subtractive Color Generation.

4.2 Color Gamut.

4.3 Computing Primary Intensities.

4.4 CIE XYZ Color Space.

4.5 Gamma Correction.

4.6 Von Kries Coefficients and Sensor Sharpening.

5 Color Spaces.

5.1 RGB Color Space.

5.2 sRGB.

5.3 CIE L*u*v*Color Space.

5.4 CIE L*a*b*Color Space.

5.5 CMY Color Space.

5.6 HSI Color Space.

5.7 HSV Color Space.

5.8 Analog and Digital Video Color Spaces.

6 Algorithms for Color Constancy under Uniform Illumination.

6.1 White Patch Retinex.

6.2 The Gray World Assumption.

6.3 Variant of Hornâ??s Algorithm.

6.4 Gamut-constraint Methods.

6.5 Color in Perspective.

6.6 Color Cluster Rotation.

6.7 Comprehensive Color Normalization.

6.8 Color Constancy Using a Dichromatic Reflection Model.

7 Algorithms for Color Constancy under Nonuniform Illumination.

7.1 The Retinex Theory of Color Vision.

7.2 Computation of Lightness and Color.

7.3 Hardware Implementation of Landâ??s Retinex Theory.

7.4 Color Correction on Multiple Scales.

7.5 Homomorphic Filtering.

7.6 Intrinsic Images.

7.7 Reflectance Images from Image Sequences.

7.8 Additional Algorithms.

8 Learning Color Constancy.

8.1 Learning a Linear Filter.

8.2 Learning Color Constancy Using Neural Networks.

8.3 Evolving Color Constancy.

8.4 Analysis of Chromatic Signals.

8.5 Neural Architecture based on Double Opponent Cells.

8.6 Neural Architecture Using Energy Minimization.

9 Shadow Removal and Brightening.

9.1 Shadow Removal Using Intrinsic Images.

9.2 Shadow Brightening.

10 Estimating the Illuminant Locally.

10.1 Local Space Average Color.

10.2 Computing Local Space Average Color on a Grid of Processing Elements.

10.3 Implementation Using a Resistive Grid.

10.4 Experimental Results.

11 Using Local Space Average Color for Color Constancy.

11.1 Scaling Input Values.

11.2 Color Shifts.

11.3 Normalized Color Shifts.

11.4 Adjusting Saturation.

11.5 Combining White Patch Retinex and the Gray World Assumption.

12 Computing Anisotropic Local Space Average Color.

12.1 Nonlinear Change of the Illuminant.

12.2 The Line of Constant Illumination.

12.3 Interpolation Methods.

12.4 Evaluation of Interpolation Methods.

12.5 Curved Line of Constant Illumination.

12.6 Experimental Results.

13 Evaluation of Algorithms.

13.1 Histogram-based Object Recognition.

13.2 Object Recognition under Changing Illumination.

13.3 Evaluation on Object Recognition Tasks.

13.4 Computation of Color Constant Descriptors.

13.5 Comparison to Ground Truth Data.

14 Agreement with Data from Experimental Psychology.

14.1 Perceived Color of Gray Samples When Viewed under Colored Light.

14.2 Theoretical Analysis of Color Constancy Algorithms.

14.3 Theoretical Analysis of Algorithms Based on Local Space Average Color.

14.4 Performance of Algorithms on Simulated Stimuli.

14.5 Detailed Analysis of Color Shifts.

14.6 Theoretical Models for Color Conversion.

14.7 Human Color Constancy.

15 Conclusion.

Appendix A Dirac Delta Function.

Appendix B Units of Radiometry and Photometry.

Appendix C Sample Output from Algorithms.

Appendix D Image Sets.

Appendix E Program Code.

Appendix F Parameter Settings.

Bibliography.

List of Symbols.

Index.

Permissions.


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