Color Characterization for Scanners: Dpi and Color Co- Ordinate Issues

Characterization and estimation of device independent color co-ordinates of scanned or photographic images of through empirical models is a typical issue for commercial desktop scanners and cameras. As a domain of complex problem for optimising suitable color model to evaluate textiles and paints, we investigated the effect of different DPI and device independent color coordinate selection for color Characterization using 140 color patch standards of SGA Colorchecker on Fabric Eye D 2000 scanner. This paper extensively discusses the polynomial regression and neural network characterization techniques and their respective model performances in order to relate typical scanning devices to spectrophotometer i.e., get CIE XYZ/ L*a*b*/L*c*h* from RGB values of scanned image of for D65 10 illuminant and observer. KEYWARDS Tristimulus values, Color matching function , Color characterization, Polynomial regression, CIE illuminant and observer ,back propagation, neural network