Why Traditional TVI Methods Fall Short for Spot Colors

Traditional TVI calculations were originally developed for process colors such as CMYK, where density measurements reliably indicate how tones reproduce on press. However, spot colors introduce a much wider range of pigments and color formulations. As a result, two spot colors can produce similar density values while appearing very different to the human eye.

This makes density-based TVI calculations less suitable for accurately describing the behavior of spot color tints and gradients. To address this challenge, the industry introduced SCTV (Spot Color Tone Value, ISO 20654). Instead of relying on density, SCTV uses colorimetric or spectral data to evaluate how a tint is perceived visually.

The result is a more consistent and predictable representation of spot color tone values, making SCTV the preferred approach for many modern spot color workflows.

Why SCTV Matters in Modern Spot Color Workflows

In many production environments, complete tint ramp measurements are simply not available. Often only full-tone measurements and paper white exist for a given spot color.

In the past, generating complete characterization data from this limited information required significant effort, including additional print runs and measurements.

At the same time, many print providers already linearize spot colors according to SCTV standards. Repeating the process solely to create characterization data adds complexity without creating additional value.

Introducing TVI Curve Adjustment in CxF Toolbox

The latest release of CGS ORIS CxF Toolbox introduces a dedicated TVI Curve Adjustment tool for CxF/X-4 data:
· Apply SCTV-based TVI curves directly to existing CxF data
· Adjust curves based on other CxF datasets
· Create user-defined TVI curves manually

The new functionality is integrated directly into the Toolbox interface through a dedicated adjustment module, making it easy to modify and validate tone-value behavior without leaving the application.

Building Complete CxF Data from Limited Measurements

One of the most practical benefits of the new functionality is the ability to work with limited spot color information.

When only a full-tone measurement and paper white are available, CxF Toolbox can predict missing tonal values and apply SCTV-based behavior directly to the resulting dataset. The result is a complete spectral CxF file that can be used throughout the production workflow.

This reduces the need for extensive tint ramp prints and measurements while maintaining compatibility with modern spot color standards.

Better Data for Spectral Overprint Simulation

Accurate CxF data plays a critical role in spectral overprint simulation. CGS ORIS Color Tuner relies on complete spectral characterization data to simulate interactions between spot colors, process colors, and overprints.

By incorporating SCTV-adjusted tone-value behavior directly into the CxF file, users can provide Color Tuner with more complete characterization data, supporting more realistic overprint simulations. This is particularly valuable in packaging and label production, where spot color interactions are often a critical part of the final print result.

More Flexibility for Spot Color Characterization

In addition to SCTV-based adjustments, the updated Toolbox introduces further flexibility:
· Edit ink recipe metadata
· Create custom tint value lists with freely selectable percentages

These additions make CxF Toolbox a more comprehensive environment for creating, modifying, and maintaining spectral spot color data.

Conclusion

With the introduction of TVI Curve Adjustment, CGS ORIS CxF Toolbox expands the possibilities of spectral spot color characterization. By bringing SCTV-based tone-value behavior directly into CxF/X-4 data, users can create more complete characterization files, reduce dependence on extensive tint measurements, and improve the quality of downstream color simulations.

For printers, converters, and packaging professionals working with spot colors, it represents another step toward more accurate and efficient color workflows.