Computational color technology kang henry r. Computational Color Technology 2019-01-25

Computational color technology kang henry r Rating: 8,7/10 1905 reviews

Computational Color Technology

computational color technology kang henry r

Spectral reconstruction provides the means for the highest level of color matching. Von Kries hypothesis -- 4. The papers are organized in topical sections on computational photography, color and perception, color imaging, and computational imaging. Visual sensitivity and color-matching functions -- 2. Metameric spectrum decomposition -- 10. Results of inverse regression -- 8.

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Henry R. KANG

computational color technology kang henry r

White-point conversion via tristimulus ratios of illuminants -- 13. Metameric decomposition and reconstruction -- 10. Effect of illuminant -- 1. Issues of digital color imaging -- 19. Written by one of the foremost authorities in the field, this major two-volume work addresses the key topics required to understand the issues and manage colour effectively.

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Computational color technology (Book, 2006) [kongouji.com]

computational color technology kang henry r

Henry Kang provides the fundamental color principles and mathematical tools to prepare the reader for a new era of color reproduction, and for subsequent applications in multispectral imaging, medical imaging, remote sensing, and machine vision. This book is intended to bridge the gap between color science and computational color technology, putting color adaptation, color constancy, color transforms, color display, and color rendition in the domain of vector-matrix representations and theories. The properties of matrix R are discussed in detail. Color gamut mapping -- 19. Integrated spatial-appearance model -- 19. Four-primary Neugebauer equation -- 17. Author by : Henry R.

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Computational Color Technology

computational color technology kang henry r

Empirical proportionality correction -- 15. Cellular extension of the Kubelka-Munk model -- 16. Von Kries color prediction -- 12. Color gamut boundary of block dyes -- 7. Cellular extension of the Kubelka-Munk model -- 16.

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Computational Color Technology

computational color technology kang henry r

Structure of 3D lookup table -- 9. Spectrum reconstruction from tristimulus values -- 11. This book deals with color digital images on the spectral level using vector-matrix representations. The remainder of the book is dedicated to the variational analysis of Retinex-like models, contextualizing their action with respect to contrast enhancement. Computational color constancy -- 12. Multispectral images are acquired by digital cameras, and the camera characteristics with respect to color image quality are discussed.

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Computational Color Technology : Henry R. Kang : 9780819461193

computational color technology kang henry r

The discussion of computational issues starts with color constancy, which is dealt with in a rigorous and self-contained mathematical setting. This book is intended to bridge the gap between color science and computational color technology, putting color adaptation, color constancy, color transforms, color display, and color rendition in the domain of vector-matrix representations and theories. The 16 revised full papers, presented together with three invited papers, were carefully reviewed and selected from numerous submissions. Henry Kang provides the fundamental color principles and mathematical tools to prepare the reader for a new era of color reproduction, and for subsequent applications in multispectral imaging, medical imaging, remote sensing, and machine vision. However, there is no integrated view or consistent representation of spectral color imaging. Several levels of the metameric matching are discussed and metameric corrections are provided. The fourth part, Chapters 15-18, deals with the physical model accounting for the intrinsic physical and chemical interactions occurring in the colorants and substrates.

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Henry R. KANG

computational color technology kang henry r

Proportionality and additivity failures -- 15. Chapter 14 discusses the applications of spectrum reconstruction for multispectral imaging. Inverse color transformation -- 8. Metameric decomposition and reconstruction -- 10. The 21 revised full papers, presented together with 4 invited papers, were carefully reviewed and selected from numerous submissions. This is the onset of a new era of color reproduction.

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Computational Color Technology

computational color technology kang henry r

This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics—and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. The methods of obtaining the color gamut boundary of imaging devices and color gamut mapping are provided. Types of metameric matching -- 3. In addition, I had direct experience with major chemical instruments, color measurement, and image quality assessment. Metameric spectrum decomposition -- 10. Chapter 16 reformulates the Kubelka-Munk theory in the vector-matrix form. The volumes which followed have provided ample evidence for our belief that the field of colour chemistry is very much alive, though arguably in need of further stimulus.

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Computational Color Technology

computational color technology kang henry r

Ideal block-dye model -- 7. The 23 full papers, including 4 tutorials and 3 invited papers, accepted were carefully reviewed and selected from 25 submissions. Area coverage-density relationship -- 18. Ideal block-dye model -- 7. Results of spectrum reconstruction -- 10.

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