The structure and properties of color spaces and the representation of color images

• 作者: Dubois, E.
• 出版: [San Rafael, Calif.] : Morgan & Claypool c2010.
• 稽核項: xviii, 111 p. :ill. ;24 cm.
• 叢書名: Synthesis lectures on image, video, and multimedia processing,#11
• 標題: Color in design. , Image processing. , Color.
• ISBN: 1598292323 , 9781598292329
• ISBN: 1559-8144 ;
• 附註: 100年度教育部「獎勵大學教學卓越計畫」購藏. Includes bibliographical references (p. 105-109). 1. Introduction -- 2. Light: the physical color stimulus -- Basic radiometric concepts -- The space of physical stimuli -- The set P of physical light stimuli -- Algebraic structure of the set P -- Embedding of P in a vector space A -- Metric on A -- Discrete representation of elements of A -- 3. The color vector space -- Introduction -- Properties of metamerism -- Extension of metameric properties to A -- Proofs of propositions and theorems of section 3.3 -- Definition and properties of the color vector space -- The mapping from A to C: computing tristimulus values -- Black space and the canonical decomposition of the stimulus space -- Change of primaries -- The visual subspace and general color spaces -- The CIE color spaces -- Physically realizable colors -- The cone of physically realizable colors -- Additive reproduction of colors -- Indentification of primaries -- New primaries specified in terms of existing primaries -- Matrix for transformation of tristimulus values specified -- Spectral densities of primaries specified -- Color matching functions of new primaries specified -- 4. Subspaces and decompositions of the human color space -- Introduction -- Luminance and associated decompositions of the color vector space -- Chromaticity classes -- Determination of tristimulus values from luminance and chromaticities -- Additive reproduction of colors revisited -- Decomposition of color space corresponding to certain color deficiencies.
• 摘要: This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered to be functions of a continuous wavelength variable. This leads into the formulation of color space as a three-dimensional vector space, with all the associated structure. The approach is to start with the axioms of color matching for normal human viewers, often called Grassmann's laws, and developing the resulting vector space formulation. However, once the essential defining element of this vector space is identified, it can be extended to other color spaces, perhaps for different creatures and devices, and dimensions other than three. The CIE spaces are presented as main examples of color spaces. Many properties of the color space are examined. Finally, these ideas are applied to signal and system theory for color images. This is done using a vector signal approach where a general linear system is represented by a three-by-three system matrix. The formulation is applied to both continuous and discrete space images, and specific problems in color filter array sampling and displays are presented for illustration. The book is mainly targeted to researchers and graduate students in fields of signal processing related to any aspect of color imaging.
• 系統號: 005045826
• 資料類型: 圖書
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• 引用網址: 複製連結
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