N -Ink Printer Characterization With Barycentric Subdivision.

Area of Science:

• Color science
• Digital printing technologies
• Image processing

Background:

• N-ink printing presents challenges in spectral modeling, color separation, and halftoning.
• Juxtaposed halftoning is a promising method for N-ink printing but lacks robust color prediction models.
• Predicting colors based on ink area coverages in juxtaposed halftones is not fully explored.

Purpose of the Study:

• To introduce a novel spectral prediction model for N-ink juxtaposed-halftone prints.
• To address the challenge of accurate color prediction in multi-ink printing systems.
• To provide an algorithmically straightforward method for N-ink color prediction.

Main Methods:

• Proposed a cellular subdivision of the ink area-coverage domain using barycentric subdivision of simplexes.
• Applied the Yule-Nielsen spectral Neugebauer (YSN) model within each subdomain cell for spectral prediction.
• Developed an N-ink color prediction model based on these methods.

Main Results:

• The proposed model demonstrates high accuracy for N-ink juxtaposed-halftone prints.
• The barycentric subdivision offers an algorithmically straightforward approach to model design and implementation.
• The model requires a relatively low number of calibration samples for accurate predictions.

Conclusions:

• The developed spectral prediction model effectively handles the complexities of N-ink juxtaposed halftoning.
• The cellular subdivision approach combined with the YSN model provides a scalable and accurate solution for multi-ink printing.
• This method offers a practical approach for achieving accurate color reproduction in advanced printing systems.