The traditional era of “meticulous brushing” is being replaced by a computational approach to photo editing. Using ON1 Photo RAW 2026 as a benchmark, the shift moves masking from manual labor to a logical, non-destructive workflow. Here is a summary of the five key pillars of this evolution:
1. Modular Over Monolithic
Instead of building one fragile, complex mask, editors can now stack multiple independent mask layers (like an AI subject selection combined with a gradient) onto a single adjustment. This “modular” approach is more resilient and easier to manage than traditional, single-channel masking.
2. Logic-Based Masking
Masking tools now function like calculators using Boolean logic. The “Intersect” mode acts as a logical “AND” operator (or pixel-wise multiplication). This allows you to apply effects only where masks overlap—for example, isolating light on just one side of a specific subject without manual tracing.
3. Non-Destructive Workflows
New systems eliminate “clobbering,” where applying a new mask type would previously erase your previous work. Because each mask component remains independent, you can refine color, tone, and shape selections simultaneously without fear of losing progress.
4. “Lazy” Precision
The role of the editor is shifting from a painter to a creative director. By combining broad tonal masks with “lazy,” casual brushstrokes, the software uses logic to snap the selection to precise edges. This removes the need for pixel-perfect manual brushing.
5. 3D Depth Awareness
Modern masking has moved beyond 2D pixels (X and Y axes) to understand the Z-axis (depth). By generating 3D depth maps from 2D images, software can now isolate objects based on their distance from the camera, allowing for environmental adjustments that respect the physical structure of the scene.