Color Management (CM) Systems are widely used in conjunction with ICC profiles to obtain Color fidelity today. For this purpose, each device is characterized using a suitable CM tool to generate an ICC profile. Those tools provide acceptable to high quality, actually.CM tools of distinct manufacturers generate different output even if the same parameters are given. This is also the case for an externally generated measurement text file, characterizing the printing device and media, which is imported into each CM tool. Obviously the manufacturers use different techniques to fit the measurement data into a model of the device to be characterized, thus each CM tool has its own strengths and weaknesses.This study is intended to complete our investigation of CM tools (ICC v2) with the focus set on image quality. For this purpose, human observers were asked to judge the reproductions with respect to a given original. The evaluation was carried out using natural as well as artificial images with various image content. From the visual assessment data, an interval scale was calculated using psychophysical and statistical methods.The results are compared with and related to previous analyzations where synthetic test images were used to check the ICC profile tables with ΔEab and ΔE94 taken as the criteria.
Hendrik Büring, Patrick G. Herzog, Eggert Jung, "Evaluation of Current Color Management Tools: Image Quality Assessments" in Proc. IS&T CGIV 2004 Second European Conf. on Colour in Graphics, Imaging, and Vision, 2004, pp 459 - 462, https://doi.org/10.2352/CGIV.2004.2.1.art00092