By Gaurav Sharma, Raja Bala
Electronic know-how now permits exceptional performance and suppleness within the catch, processing, alternate, and output of colour photos. yet harnessing its power calls for wisdom of colour technology, structures, processing algorithms, and machine characteristics-topics drawn from a large variety of disciplines. possible gather the considered necessary historical past with an armload of physics, chemistry, engineering, computing device technological know-how, and arithmetic books and journals- or you will find it the following, within the electronic colour Imaging Handbook.Unprecedented in scope, this instruction manual offers, in one concise and authoritative e-book, the weather of those varied components suitable to electronic colour imaging. the 1st 3 chapters hide the fundamentals of colour imaginative and prescient, conception, and physics that underpin electronic colour imaging. the rest of the textual content offers the know-how of colour imaging with chapters on colour administration, gadget colour characterization, electronic halftoning, snapshot compression, colour quantization, gamut mapping, computationally effective remodel algorithms, and colour photo processing for electronic cameras.Each bankruptcy is written via world-class specialists and principally self-contained, yet move references among chapters mirror the themes' vital interrelations. Supplemental fabrics can be found for obtain from the CRC website, together with digital types of a few of the photographs awarded within the e-book.
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Additional resources for Digital Color Imaging Handbook (Electrical Engineering & Applied Signal Processing Series)
Because CIELAB has gained wide acceptance as a standard, most of the difference formulae attempt to use alternate (non-Euclidean) distance measures† in the CIELAB space. Some of these are discussed in the following section. The CIELAB and CIELUV spaces are also deﬁcient with regard to the correlates for hue. 15 shows a plot of the a*–b* plane where the loci of points corresponding to a constant perceived hue have been plotted. 129) The center of the ﬁgure corresponds to the L* axis. Since the angular position a* arctan ----- b* in CIELAB is a correlate of hue, one expects colors of a single hue should correspond to planes in CIELAB emanating radially outward from the CIELAB axis.
15 Loci of points corresponding to constant perceived hue in a*-b* plane (interpolated data). 96(p. 91) © 2003 by CRC Press LLC loci of points corresponding to constant perceived hues in the blue regions (in the vicinity of the negative b* axis) show a very high curvature, indicating that the CIELAB hue correlate in this region is in poor agreement with actual perceived hue. In several color processing operations, it is desirable to preserve a speciﬁed perceptual color attribute. A common example of this is the process of gamut-mapping (described in signiﬁcant detail in a subsequent chapter), where it is often desirable to modify colors while preserving hue.
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.