Download Advanced Color Image Processing and Analysis by Christine Fernandez-Maloigne PDF

By Christine Fernandez-Maloigne

ISBN-10: 1441961895

ISBN-13: 9781441961891

This quantity does even more than survey glossy complex colour processing. beginning with a old standpoint on methods now we have categorized colour, it units out the most recent numerical innovations for interpreting and processing colours, the vanguard in our seek to appropriately checklist and print what we see. The human eye perceives just a fraction of obtainable mild wavelengths, but we are living in a multicolor international of myriad shining colorings. colours wealthy in metaphorical institutions make us “purple with rage” or “green with envy” and reason us to “see red.” Defining shades has been the paintings of centuries, culminating in today’s advanced mathematical coding that still is still a piece in development: just recently have we possessed the computing ability to approach the algebraic matrices that reproduce colour extra properly. With chapters on dihedral colour and snapshot spectrometers, this ebook presents technicians and researchers with the information they should take hold of the intricacies of today’s colour imaging.

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Extra resources for Advanced Color Image Processing and Analysis

Sample text

The exponent p in step 2 for calculating the blue corresponding spectral response can be considered as a modification of the von Kries type of transform. The BFD transform performs much better than the von Kries transform. R. Luo and C. Li and Hunt [30] in 1997 modified the step 2 in the above BFD transform by introducing an adaptation factor D. The new step 2 becomes, Step 2’ ⎛ ⎞ ⎛ ⎞ Rc [D(Rwr /Rw ) + 1 − D]R ⎝ Gc ⎠ = ⎝ [D(Gwr /Gw ) + 1 − D]G ⎠, Bc [D(Bwr /Bwp ) + 1 − D]sign(B)|B| p where 1/4 D = F − F/[1 + 2LA + L2A /300].

Lab space is not a good space for gamut mapping since lines of constant hue are not generally straight lines, especially in the blue region [53]. CIECAM02 has been shown to have a superior perceptual uniformity as well as better hue constancy [40]. Thus, the CIECAM02 space has been selected as the gamut mapping space. However, the ICC PCS can contain non-physical colours, which cause problems when transforming to CIECAM02 space, for example, in the Lightness function J defined above and the calculation of the parameter defined by 2 CIECAM02 and Its Recent Developments t= 47 (50000/13)Nc Ncb et (a2 + b2)1/2 .

3 Colourfulness (M) Colourfulness is that attribute of a visual sensation according to which an area appears to exhibit more or less chromatic content. This is an open-ended scale with a zero origin defining the neutral colours. Similar to the brightness attribute, the colourfulness of a sample is also affected by luminance. An object illuminated under bright sunlight would appear more colourful than when viewed under moonlight, such as M value changes from 2000 to 1 with a ratio of 2000. 2 CIECAM02 and Its Recent Developments 27 Fig.

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