
Computational Color Imaging
Description
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Content
- 6626
- Preface
- Organization
- Table of Contents
- Invited Talks
- Colour Spaces for Colour Transfer
- Introduction
- Previous Work
- Method
- Image Ensembles
- Colour Spaces
- Ensemble-Based Colour Spaces
- Colour Transfer
- Correlation Analysis
- Standard Colour Spaces
- Ensemble-Specific Colour Spaces
- Colour Transfer
- Conclusions
- References
- Perception Based Representations for Computational Colour
- Introduction
- Perception Based Representations
- Colour Induction
- Colour Saliency
- Colour Naming
- Colour Segmentation
- Conclusion
- References
- Color Imaging Arithmetic: Physics ? Math & Physics + Math
- Introduction
- The Union of Physics and Math in Fundamental Color Science
- Figures of Merit for Color Recording Devices
- Separation Estimation from Scanned Color Halftones
- Summary and Discussion
- References
- Computational Photography
- Region-Based Annotation of Digital Photographs
- Introduction
- Related Work
- Method
- Segmentation
- Regions Description and Classification
- Experimental Results
- Conclusions
- References
- Adaptive Edge Enhancing Technique of Impulsive Noise Removal in Color Digital Images
- Introduction
- Vector Median Filter
- Generalized Vector Median Filter
- Adaptive Design
- Experiments
- Conclusions
- References
- Human Skin Color Simulator Using Active Illumination
- Introduction
- Color Simulation by Active Illumination
- Principles of Color Simulation
- Programmable Light Source
- Skin Color Estimation
- Procedure of Skin Color Simulation on Skin Surface
- Simulation of Spectral Reflectance of Skin Surface with Condition Change
- Display of Simulated Color on Real Skin Surface by Projection of Active Illumination
- Experiments
- Conclusions
- References
- Estimation of Multiple Illuminants Based on Specular Highlight Detection
- Introduction
- Imaging System
- Detection of Highlight Area
- Detection Using Variable Luminance Thresholds
- Detection Using Luminance and Hue Components
- Detection Using a Polarization Filter
- Illuminant Estimation Algorithm
- Experimental Results
- Experimental Conditions
- Detection of Highlight Areas
- Estimation of Illuminant Spectra
- Conclusion
- References
- Color and Perception
- Subjective Evaluation of Specular Appearance for Multiple Observations Using Projector-Based Appearance Reproduction
- Introduction
- Related Works
- Projector-CameraSystem
- Rendering Equation for Specular Appearance
- Experiment
- Experimental Layout
- Subjective Evaluation
- Intensity of Specular Appearance Using Magnitude Estimation Method
- Verification of Inauthenticity Due to Changes in Viewing Position
- Conclusion
- Limitation and Future Work
- References
- Spatial Colour Gamut Mapping by Means of Anisotropic Diffusion
- Introduction
- Spatial Gamut Mapping: A Mathematical Definition
- Results and Discussion
- The ? Parameter
- The amin Parameter
- The Number of Iterations
- Conclusion
- References
- Enhancing Underexposed Images Preserving the Original Mood
- Introduction
- Local Contrast Correction Algorithm
- Automatic White Balance
- Saliency Map
- Salience-Adaptive Denoising Module
- Results and Discussion
- Conclusions
- References
- On the Application of Structured Sparse Model Selection to JPEG Compressed Images
- Introduction and Motivations
- Sparse Coding for Image Enhancement and Restoration
- Structured Sparse Model Selection
- Experimental Results
- Conclusion and Future Works
- References
- Color Imaging
- Material Classification for Printed Circuit Boards by Kernel Fisher Discriminant Analysis
- Introduction
- Imaging System
- Spectral Camera System
- Observation Condition
- Reflection Properties of Printed Circuit Board
- Estimation of Surface-Spectral Reflectance
- Classification Algorithm with Dimensional Reduction
- Fisher Discriminant Analysis
- Classification by Kernel Fisher Discriminant Analysis
- Experiments
- Discussion
- The Number of Samples
- Size of PCBs
- Standard Deviation of Gaussian Kernel
- Feature Selection
- Conclusion
- References
- Color Correction: A Novel Weighted Von Kries Model Based on Memory Colors
- Introduction
- Proposed Framework
- Memory Color Data
- Multispectral Image Acquisition
- Memory Color Experiment
- Memory Color Modeling
- Color Correction Model
- Memory Color Segmentation
- Illumination Estimation
- Color Correction
- Experimental Results
- Conclusion
- References
- Fast Color-Weakness Compensation with Discrimination Threshold Matching
- Introduction
- Compensation Criterion
- Discrimination Thresholds and Color Spaces as Riemann Spaces
- Color Difference Preserving Map and New Criterion of Compensation
- Discrimination Threshold Matching Condition
- Measurement and Estimation of Discrimination Thresholds
- Measurement Results
- Compensation Along Confusion Lines
- Color-Weak Map and Linear Approximation
- Rigorous Definition of Color-Weak Map
- Implementation
- Simulation
- Evaluation
- Conclusions
- References
- Video-Based Illumination Estimation
- Introduction
- Color Image Formation
- Proposed Method
- Testing the Video-Based Illumination-Estimation Method
- Comparison of Methods for Combining FB Estimates
- Scene Cutting Methods Comparison
- Comparing to FB Existing Algorithms
- Conclusion
- References
- Computational Imaging
- Effective Color Image Retrieval Based on the Gaussian Mixture Model
- Introduction
- Gaussian Mixture Modeling
- Initial Conditions of the GMM
- Experimental Setup for GMM Based Image Retrieval
- Evaluation of the Proposed Method Efficiency
- Summary
- References
- Detecting Text in Natural Scenes Based on a Reduction of Photometric Effects: Problem of Color Invariance
- Introduction
- Color Spaces Invariants to Photometric Effects
- Illuminant-Invariant Models
- Logvinenko's Model
- Image Enhancement Methods
- Grey Levels Transformation Methods
- Morphological Reconstruction Based on Geodesic Transform
- Conclusion
- References
- Detecting Text in Natural Scenes Based on a Reduction of Photometric Effects: Problem of Text Detection
- Introduction
- Text Segmentation
- Image Enhancement Methods
- Morphological Reconstruction Based on Geodesic Transform
- Background Estimation Based on Difference of Gamma Functions
- Background Estimation Based on Generalized Extreme value Distribution
- Experimental Results
- Conclusion
- References
- Color Target Localization under Varying Illumination Conditions
- Introduction
- Object Localization Methods
- The Proposed Approach
- Local Descriptors Considered
- Hypothesis Validation
- Experimental Results
- Conclusions
- References
- Author Index
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