Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Date Added: Oct 2012
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 optimizing suitable color model to evaluate textiles and paints, the authors 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/Lab/Lch from RGB values of scanned image of for D65 10 illuminant and observer.