Arahne CAD/CAM for weaving | Fast image cleanup with Averaging and Despeckle in ArahPaint

9. 7. 2026

Fast image cleanup with Averaging and Despeckle in ArahPaint

We’ve upgraded the Averaging ve Despeckle tools in ArahPaint, turning them into standalone features with dedicated dialog windows. This gives you clearer control over all parameters and an immediate visual preview of the effect.

Averaging tool

To use Averaging, open Filters > Averaging, then click Preview to observe the changes in real time. Adjust the Size parameter to define the pixel radius, and use Repeat to apply the selected Size multiple times for a stronger smoothing effect.

Check out the short video tutorial on how to use Averaging our Youtube channel.

Despeckle tool

To use Despeckle, go to Filters > Despeckle and click Preview to see the cleanup effect. Set the Neighbor parameter (1–12) to define the size of the pixel cluster you want to target, and adjust Repeat to apply multiple despeckling passes for a more intensive cleanup.

Check out the short video tutorial on how to use Despeckle on our Youtube channel.

You may wonder: what’s the major difference between Averaging and Despeckle? Both are used for image cleaning, but they work in fundamentally different ways.

Averaging replaces each pixel with the average value of its neighbors. This reduces noise but also softens edges and fine details. It’s typically used for:

– low‑quality scans with general noise

– softening transitions

– pre‑processing before color reduction

– reducing grain in photos or scanned patterns

Effect: A gentle blur that smooths variations.

Despeckle, on the other hand, detects isolated pixels or tiny clusters that differ strongly from their surroundings and removes or replaces them. It’s ideal for:

– eliminating single‑pixel errors after automatic color reduction

– cleaning dirty backgrounds without altering the motif

Effect: Removes specks while keeping edges crisp and intact.

Practical rule of thumb:

• If the whole image looks noisy, use Averaging.

• If the image is clean except for tiny dots, use Despeckle.

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