| 000 | 04613nam a22005055i 4500 | ||
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| 001 | 978-3-031-02246-3 | ||
| 003 | DE-He213 | ||
| 005 | 20240730165020.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2010 sz | s |||| 0|eng d | ||
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_a9783031022463 _9978-3-031-02246-3 |
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| 024 | 7 |
_a10.1007/978-3-031-02246-3 _2doi |
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| 050 | 4 | _aT1-995 | |
| 072 | 7 |
_aTBC _2bicssc |
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_aTBC _2thema |
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| 082 | 0 | 4 |
_a620 _223 |
| 100 | 1 |
_aDubois, Eric. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _987078 |
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| 245 | 1 | 4 |
_aThe Structure and Properties of Color Spaces and the Representation of Color Images _h[electronic resource] / _cby Eric Dubois. |
| 250 | _a1st ed. 2010. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2010. |
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| 300 |
_aXVIII, 111 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 |
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| 505 | 0 | _aIntroduction -- Light: The Physical Color Stimulus -- The Color Vector Space -- Subspaces and Decompositions of the Human Color Space -- Various Color Spaces, Representations, and Transformations -- Signals and Systems Theory -- Concluding Remarks. | |
| 520 | _aThis 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. Once the vector space formulation is established, various useful decompositions of the space can be established. The first such decomposition is based on luminance, a measure of the relative brightness of a color. This leads to a direct-sum decomposition of color space where a two-dimensional subspace identifies the chromatic attribute, and a third coordinate provides the luminance. A different decomposition involving a projective space of chromaticity classes is then presented. Finally, it is shown how the three types of color deficiencies present in some groups of humans leads to a direct-sum decomposition of three one-dimensional subspaces that are associated with the three types of cone photoreceptors in the human retina. Next, a few specific linear and nonlinear color representations are presented. The color spaces of two digital cameras are also described. Then the issue of transformations between different color spaces is addressed. 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. | ||
| 650 | 0 |
_aEngineering. _99405 |
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| 650 | 0 |
_aElectrical engineering. _987080 |
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| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aTechnology and Engineering. _987082 |
| 650 | 2 | 4 |
_aElectrical and Electronic Engineering. _987085 |
| 650 | 2 | 4 |
_aSignal, Speech and Image Processing. _931566 |
| 710 | 2 |
_aSpringerLink (Online service) _987087 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031011184 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031033742 |
| 830 | 0 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 _987089 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02246-3 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c86047 _d86047 |
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