4 August 1993 Adaptive color-printer modeling using regularized linear splines
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The characterization of a highly non-linear color print device can involve a large number of measurements of printed color output. If the measurement process is not automated this can be a significant fraction of the cost of developing a color model for a device. One way to limit the number of measurements required is to ensure that in any given region, only enough measurements are made to adequately characterize the local behavior. With no prior knowledge of the behavior, this requires an adaptive approach to the sampling. An adaptive sampling technique developed for this work, termed Model Accuracy Moderated Adaptive Sampling (MAMAS), is described. Simulation tests with and without measurement noise are presented and the results are compared to measurements using uniform regular sampling. The technique is also applied to a real printer, the Canon CLC500, for which some results are presented. The color model used for the print device is based on an interpolated look up table (ILUT). Because of the highly non-linear nature of the device being modeled a flexible technique is required to translate the irregular measurement samples into a regularly gridded model. A method based on a regularized linear spline was developed. Appropriate choice of the penalty function for the regularization can achieve a compromise between fitting the measured points and reducing the impact of measurement noise. A brief overview of the technique is presented.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donald J. Bone, Donald J. Bone, } "Adaptive color-printer modeling using regularized linear splines", Proc. SPIE 1909, Device-Independent Color Imaging and Imaging Systems Integration, (4 August 1993); doi: 10.1117/12.149033; https://doi.org/10.1117/12.149033


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