Landscape Masks
Landscape masks are a selective adjustment feature available in Adobe Lightroom and the Camera Raw Filter that automatically identify and isolate distinct regions within landscape photographs. Rather than requiring manual geometric selections or brush work, these masks use algorithms to detect common landscape elements such as the sky, foreground, and mid-tone areas. This automated detection enables photographers to apply localized adjustments with precision, significantly reducing the time spent on complex masking tasks.
The technology relies on machine learning models trained on vast datasets of images to recognize visual patterns associated with different landscape components. By analyzing contrast, color, and texture, the software distinguishes between the sky and terrestrial elements, allowing for targeted edits that would otherwise demand extensive manual effort. This automation is particularly useful for correcting exposure imbalances between bright skies and darker foregrounds.
A tutorial by Colin Smith demonstrates the practical application of these tools, guiding users through the process of leveraging automatic detection for efficient workflow optimization. The guide highlights how to refine the initial automatic selections to ensure accurate boundaries, ensuring that adjustments do not bleed into unintended areas. This approach allows for non-destructive editing while maintaining the natural integrity of the landscape scene.
Source Notes
- 2026-04-14: How to get TACK SHARP photos with any camera!
- 2026-04-07: Lightroom Classic Single Click Automated AI Mask Presets for Landscape · ▶ source
- 2026-04-13: Lightroom Classic v15 AI Powered Enhancements for Creative Control and · ▶ source
- 2026-04-21: Lightroom · ▶ source