
The faithful reproduction of historical art and music manuscripts lies at the intersection of color science, printing technology, and artistic interpretation. In such projects, the printed facsimile must be visually indistinguishable from the original, both to the trained eye and to the casual observer. This paper presents a methodology for creating dedicated ICC profiles for high-fidelity facsimile printing, developed through over a decade of reproducing Fryderyk Chopin’s manuscripts. The approach is based on adaptive Gray Component Replacement (GCR), selectively tuned to different tonal and chromatic regions to preserve fine details, control local contrast, and mitigate issues such as show-through caused by the transparency of original paper. By mapping GCR levels according to the specific visual characteristics of each work, the method allows for targeted control over critical features such as ink density, edge sharpness, and tonal transitions. The process also accounts for substrate variability, press condition, and metameric effects under different illuminants. Results demonstrate that adaptive GCR, combined with context-driven communication between technical and artistic stakeholders, enables reproductions that maintain the visual fidelity, texture, and emotional impact of the original works.

Gamut mapping algorithms (GMAs) map all the colors within the input image to colors reproducible with a printer. In this paper we discuss a gamut mapping algorithm we’ve developed for a novel inkjet nail printer. The algorithm we used previously for this suffers from visible desaturation since it only exploits the part of the printer gamut that overlaps with the sRGB gamut. To solve this issue, we add a step we call gamut alignment, which enables the printer to fully exploit the entire printer gamut. We show digitally simulated gamut mapped images to illustrate that the proposed GMA indeed produced better saturated gamut mapped images.

Advancing in inkjet fused deposition modeling (FDM) color 3D printing enables to create dedicated aesthetical appeal. However, the complete fabrication of a target color remains limited due to the unusual mismatch in 3D color management systems. In particular, the 3D aspect that makes the 3D color systems different from standard 2D printing, such as ink and substrate characteristics, viewing conditions, and base materials. Therefore, to the best of our knowledge, there is no suitable established method that supports color reproduction for inkjet FDM color 3D printing. In this paper, we analyze the color profile of an inkjet FDM color 3D printer to obtain a color model that could bridge the gap between a digital design (as an input) and the actual 3D printed results (as an output). We then created the color model by reproducing each color mapped to every possible color pair to determine the closest color between the target and printing colors on the basis of the color difference value, which can be rendered in lieu of the original printing colors. We verify our proposed color model by printing the mapped color and conduct a color measurement to compare it with the target colors. From the experimental results, we showed that our mapped colors can represent those desired by the user with an 80% success rate, which can be matched through controlled conditions.