Download Computational Color Imaging: Third International Workshop, by Erik Reinhard, Tania Pouli (auth.), Raimondo Schettini, PDF

By Erik Reinhard, Tania Pouli (auth.), Raimondo Schettini, Shoji Tominaga, Alain Trémeau (eds.)

This publication constitutes the refereed lawsuits of the 3rd Computational colour Imaging Workshop, CCIW 2010, held in Milan, Italy, in April 2010. The sixteen revised complete papers, provided including 3 invited papers, have been rigorously reviewed and chosen from various submissions. The papers are geared up 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

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Colorimetric information must be estimated from the scanner recordings by means of a scanner calibration transform. Since both (3) and (1), represent linear measurement models, a linear calibration transform is mathematically justified, a fact that is also borne out by empirical evaluations [25]. Denoting the scanner calibration transform by a 3 × 3 matrix B, the estimated tristimulus values from the scanner measurements can be mathematically formulated as ˆ = Bts (r), t(r) (4) where the transformation B is determined so as to minimize the color error, exact details of which we will consider in the sequel.

Both these effects are achieved simultaneously by using ECSF as a weighting function that is parameterized by the z coefficients and the spatial frequency. 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).

In section 5 we show how membership functions for eleven basic colour terms have been fitted to a sigmoid based parametric model. Finally, in section 6 we explain how the colour distribution can represent the perceived coherence of the colour shading of a surface. 3 Colour Induction Colour induction refers to the perceptual change in the colour of a stimulus due to the interactions with its surrounding region. When the perceived colour of a stimulus shifts towards the colour of its surround it is termed ”assimilation”.

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