Subsampled Optimal Noise Management Method for a Robust Separation Based Calibration of Color Printing Systems

摘要

For many color printing systems, printer calibration is often utilized to return the printer to a known state to ensure consistent color output. In particular, the key visual response of color balance often depends the calibration state return. Input color signal noise, generated from the printing system natural variation when printing the calibration target, affects the accuracy and robustness of the calibration outcome. Noise management techniques for managing input color signal noise prior to system calibration are often absent or rely on ad hoc analysis and are usually not based on the return of a well developed printer response that has been extracted from measured signal using advanced noise management methods. This paper describes Part II of an overall method for developing a robust noise management system for printer calibration. In Part I, an 8-bit full resolution calibration target is described and an iterative filtering noise management metric and method are denned and developed. In this Part II, the specific development of a low resolution calibration target and corresponding noise free representation of the printer system state, as defined by quantitative metrics relative to the printer response derived from high resolution signal in Part I is defined and developed. This subsampled calibration target using the proposed noise management method can increase the productivity and reduce operator error in print shop workflow with minimal loss of accuracy.