Advanced Color Image Processing and Analysis by Christine Fernandez-Maloigne

By Christine Fernandez-Maloigne

This quantity does even more than survey sleek complicated colour processing. beginning with a old point of view on methods we've categorised colour, it units out the most recent numerical innovations for interpreting and processing colours, the vanguard in our seek to competently list and print what we see. The human eye perceives just a fraction of accessible mild wavelengths, but we are living in a multicolor global of myriad shining shades. shades wealthy in metaphorical institutions make us “purple with rage” or “green with envy” and reason us to “see red.” Defining colours has been the paintings of centuries, culminating in today’s complicated mathematical coding that still continues to be a piece in development: only in the near past have we possessed the computing potential to method the algebraic matrices that reproduce colour extra correctly. With chapters on dihedral colour and photo spectrometers, this booklet presents technicians and researchers with the information they should clutch the intricacies of today’s colour imaging.

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Extra info for Advanced Color Image Processing and Analysis

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This is an open-ended scale with a zero origin representing neutral colours. It can be expressed by C = M/QW . The same example is given here, a saturated red printed on a white paper. It has a colourfulness of 50 against the white paper having a brightness of 250 when viewed under sunlight. When viewed under dim light, colourfulness reduces to 25 and brightness of paper also reduces to half. Hence, the C value remains unchanged. 5 Saturation (S) This is the colourfulness of an area judged in proportion to its brightness as expressed by s = M/Q, or s = C/J.

Luo and C. 25 . 5 . Part 2: The Reverse Mode Input: J or Q; C, M or s; H or h Output: X,Y, Z ( under test illuminant Xw ,Yw , Zw ) Illuminants, viewing surrounds and background parameters are the same as those given in the forward mode. See notes at the end of this Appendix calculating/defining the luminance of the adapting field and surround conditions. Step 0: Calculate viewing parameters Compute all FL , n, z, Nbb = Nbc , Rw , Gw , Bw , D, DR , DG , DB , Rwc , Gwc , Bwc , Rw , Gw , Bw Raw , Gaw , Baw and Aw using the same formulae as in Step 0 of the Forward model.

In Fig. 3 configuration, the stimulus becomes an image. The pixel of each image is defined by device independent coordinates such as CIE XYZ or CIELAB values. 2 CIECAM02 and Its Recent Developments 23 Fig. 3 Configuration for viewing images Fig. 2 Proximal Field In Fig. 2 configuration, proximal field is the immediate environment of the colour element considered, extending typically for about 2◦ from the edge of that colour element in all or most directions. Currently, proximal field is not used in CIECAM02.

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