Computational Color Imaging

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Intro -- Preface -- References -- Organization -- Contents -- Invited Talks and Tutorials -- Fourier Multispectral Imaging: Measuring Spectra, One Sinusoid at a Time -- 1 Introduction -- 2 Fourier Multispectral Imaging -- 2.1 Interferometric Spectroscopy -- 2.2 Narrowband MSI v.s. Fourier MSI -- 2.3 Filter Designs for Fourier MSI -- 3 Prototyping and Results -- 4 Conclusion -- References -- Computational Print Control -- Abstract -- 1 Introduction -- 2 HANS Basics -- 2.1 Colorant Versus Neugebauer Primary Space -- 2.2 The Neugebauer Primary Area Coverage Vector -- 2.3 NPac Metamer Sets -- 2.4 Optimization of Print Attributes -- 2.5 Summary of HANS Color Separation -- 2.6 From NPac to Halftone -- 3 Applications and Results -- 3.1 CMY Metamers -- 3.2 Gamut and Ink Use Optimization -- 3.3 Hand-Building of Color Separations -- 3.4 HANS3D -- 4 Summary -- Acknowledgements -- References -- Color Vision Is a Spatial Process: The Retinex Theory -- 1 Introduction -- 2 The Original Retinex Algorithm -- 2.1 The Experiments -- 2.2 The Algorithm -- 3 Alternative Spatial Color Sampling: Examples from Milano Retinex Family -- 4 Conclusions -- References -- Color Image Processing -- Video Smoke Removal Based on Smoke Imaging Model and Space-Time Pixel Compensation -- 1 Introduction -- 2 Dehazing Model and Conventional Approach -- 3 Proposed Video Smoke Removal Method -- 3.1 Smoke Imaging Model -- 3.2 Frame Alignment with Distance and Color Constraints -- 3.3 Pixel Compensation with Space-Time Weighting -- 4 Results and Discussion -- 5 Conclusion -- References -- Similarities and Differences in the Mathematical Formalizations of the Retinex Model and Its Variants -- 1 Introduction -- 2 Land and McCann's Original Retinex Model -- 2.1 The Limit Behavior 0 -- 2.2 From Paths to Pixel Sprays: RSR and Related Algorithms

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