Optimal Noise Management Method for a Robust Separation Based Calibration of Color Printing Systems
Abstract: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” is often controlled by 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 I of an overall method for developing a robust noise management system for printer calibration. In this Part I, the specific development of a high resolution, noise free representation of the printer system state, as defined by quantitative metrics relative to the raw input data is defined and developed.
Document Type: Research Article
Publication date: January 1, 2010
For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.
Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Membership Information
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites