By Erik Reinhard, Tania Pouli (auth.), Raimondo Schettini, Shoji Tominaga, Alain Trémeau (eds.)
This e-book constitutes the refereed complaints of the 3rd Computational colour Imaging Workshop, CCIW 2010, held in Milan, Italy, in April 2010. The sixteen revised complete papers, awarded including 3 invited papers, have been rigorously reviewed and chosen from various submissions. The papers are equipped in topical sections on computational images, colour and conception, colour imaging, and computational imaging.
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Extra resources for Computational Color Imaging: Third International Workshop, CCIW 2011, Milan, Italy, April 20-21, 2011. Proceedings
ECSF is deﬁned as ECSF (z, s) = z · g(s) + k(s). (5) the function g(s) is the combination of two exponential functions ⎧ s2 ⎨ − 2σ 2 βe 1 s ≤ sg0 g(s) = 2 s ⎩ − 2σ 2 βe 2 otherwise (6) where s represents the spatial scale of the wavelet plane being processed, β is a scaling constant, and σ1 and σ2 deﬁne the spread of the spatial sensitivity of g(s). The sg0 parameter deﬁnes the peak spatial frequency sensitivity of g(s). In Equation 5, the center-surround activity z of wavelet coeﬃcients are modulated by g(s).
To highlight the utility of the framework, we show in Fig. 1 a subset of the results from . The ﬁgure compares the comprehensive FOM against the three other alternative FOMs listed in the preceding paragraph by examining the re∗ lationship between the FOM and the average Eab error over a representative ensemble of scanner target reﬂectances for a number of scanner sensitivities determined by a parametrized set of color ﬁlters and varying levels of measurement noise, indicated in the legends by the corresponding signal to noise ration (SNR) (for additional details see ).
18 M. Vanrell et al. frequency conﬁguration and under diﬀerent colour combinations) has allowed us to deﬁne a mathematical model of colour induction. This model uses the psychophysical data to ﬁt the ECSF function that modulates the perception of colour in its surround and can form the basis of a general colour space that goes further than the colour of a point. Secondly, we hypothesise that the modulation weights obtained in the induction model could form the basis of a bottom-up attention mechanism.