Advanced color image processing and analysis by Christine Fernandez-Maloigne

By Christine Fernandez-Maloigne

This quantity does even more than survey glossy complicated colour processing. beginning with a old point of view on methods we've categorised colour, it units out the most recent numerical recommendations for studying and processing colours, the forefront in our seek to effectively list and print what we see. The human eye perceives just a fraction of obtainable gentle wavelengths, but we are living in a multicolor international of myriad shining colorations. colours 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: just recently have we possessed the computing means to technique the algebraic matrices that reproduce colour extra appropriately. With chapters on dihedral colour and picture spectrometers, this e-book offers technicians and researchers with the information they should grab the intricacies of today’s colour imaging.

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R. Luo and C. Li Fig. 7 The full line shows the relationship between J and J and the dotted line is the 45◦ line Fig. 8 The full line shows the relationship between M and M and the dotted line is the 45◦ line orientated approximately towards the origin except for those in the blue region in CIELAB space. All ellipses in CAM02-UCS (Fig. 10) are approximately equalsized circles. In other words, the newly developed CAM02-UCS is much more uniform than CIELAB. 2 CIECAM02 and Its Recent Developments 39 Fig.

6 Recent Developments of CIECAM02 Recently, several extensions to the CIECAM02 have been made, which have widened the applications of the CIECAM02. In this section, the extensions for predicting colour discrimination data sets, size effects and unrelated colour appearance in the mesopic region. Besides, recent developments from CIETC8-11 will be reported as well. 1 CIECAM02-Based Colour Spaces CIECAM02 [6, 7] includes three attributes in relation to the chromatic content: chroma (C), colourfulness (M) and saturation (s).

The experimental results showed that attributes of lightness and chroma increase with the increase of the physical size of colour stimulus. But the hue (composition) is not affected by the change of physical size of colour stimulus. Hence, a model based on CIECAM02 for predicting the size effect was derived. The model has the general structure shown in Fig. 11. 94. 2 CIECAM02 and Its Recent Developments 41 Fig. 12 The size effect corrected attributes J vs CIECAM02 J under viewing angles being 25◦ , (thick solid line), 35◦ (dotted line) and 45◦ (dashed line), respectively.

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