By Gaurav Sharma, Raja Bala
Electronic expertise now permits extraordinary performance and suppleness within the seize, processing, alternate, and output of colour photos. yet harnessing its power calls for wisdom of colour technology, platforms, processing algorithms, and equipment characteristics-topics drawn from a large variety of disciplines. you will gather the considered necessary heritage with an armload of physics, chemistry, engineering, laptop technological know-how, and arithmetic books and journals- or you can see it the following, within the electronic colour Imaging Handbook.
Unprecedented in scope, this guide offers, in one concise and authoritative ebook, the weather of those varied components correct to electronic colour imaging. the 1st 3 chapters conceal the fundamentals of colour imaginative and prescient, conception, and physics that underpin electronic colour imaging. the rest of the textual content provides the expertise of colour imaging with chapters on colour administration, gadget colour characterization, electronic halftoning, photograph compression, colour quantization, gamut mapping, computationally effective remodel algorithms, and colour picture processing for electronic cameras.
Each bankruptcy is written via world-class specialists and mostly self-contained, yet go references among chapters replicate the themes' vital interrelations. Supplemental fabrics can be found for obtain from the CRC website, together with digital models of a few of the pictures offered within the booklet.
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Extra resources for Digital color imaging handbook
335(pp. 493–499) Typical experiments determine these scales either by a process of repeated bisection of the scale extremes or by moving up in increments of a JND. 335(p. 494) The search for a uniform lightness scale was complemented by efforts toward determination of a uniform chromaticity scale for constant lightness. Two of these attempts are noteworthy. 335(p. 4 The form for the nonlinear transformation was based on a color vision model proposed earlier by Adams,3 and the diagram is therefore referred to as Adams’ chromatic-value diagram.
A common manifestation of this phenomenon is the color match of (different) fabrics under one illumination and mismatch under another. This situation is referred to as illuminant metamerism. 12 shows an example of illuminant metamerism. The plots in this ﬁgure show the spectral reﬂectances of four different metameric samples that have identical colorimetry under CIE illuminant D50 but exhibit signiﬁcant differences under other illuminants such as cool white ﬂuorescent or CIE illuminant A. The four reﬂectances used in this example are spectral reﬂectances obtained with different color reproduction processes, representing one each of a photographic, xerographic, inkjet, and lithographic process.
42) where ∆L* = L*2 – L*s , ∆a* = a*2 – a*s , and ∆b* = b*2 – b*s are the distances of the sample from the standard along the L*, a*, and b* axes, respectively. 192 This correlation © 2003 by CRC Press LLC is, however, quite approximate, and there are signiﬁcant variations in a visual JND over color space. 2 for details). 14. The a* axis corresponds to red–green opponent hues, with distances along the positive a* axis corresponding to a measure of redness and distances along the negative a* axis corresponding to a measure of greenness.