Everything you need to know about Gaussian Blur
Gaussian Blur applies a smooth, natural-looking blur based on a bell-curve (Gaussian) distribution. It's the most commonly used blur type in image editing, producing soft, organic results ideal for background softening, noise reduction, glow effects, and depth-of-field simulation.
Parameters
- Radius
Controls the blur intensity. At 0, no blur is applied. Higher values (up to 50) create increasingly soft, diffused images. The radius determines how far each pixel's influence spreads to its neighbors.
How It Works
Gaussian Blur uses a two-pass algorithm (horizontal then vertical) with weighted sampling based on the Gaussian bell curve. Pixels closer to the center contribute more to the final result than distant pixels, creating a smooth, natural falloff – unlike Box Blur where all pixels contribute equally.
Gaussian vs. Box Blur
Gaussian Blur produces softer, more natural results because it weighs nearby pixels more heavily. Box Blur treats all pixels equally, which can create slightly harsher edges. For most uses, Gaussian is preferred.
Tips
- Use low values (2–5) for subtle softening or skin smoothing
- Medium values (10–20) create a soft focus or dreamy effect
- High values (30–50) produce strong background blur or bokeh effects
- Blur a duplicate layer and blend for glow effects