BrushCue Tool
Remove Noise from Image Online Median Filter
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What you can expect
Runs a median filter over the composition. This will accumulate the R, G and B components of your image and then calculate the median of each component. Valid range for the kernel size is between 1 and 5. Use this tool to remove noise from an image.
Related tools
More BrushCue tools that fit this workflow.
Gaussian Blur
Apply Gaussian blur to images in your browser. Soften details, create depth effects, or prepare backgrounds quickly and for free.
Box Blur
This online Box Blur tool applies a simple averaging filter to soften an image and reduce noise. It is fast and predictable, making it useful for quick previews, testing, or educational purposes. Under normal circumstances, use the Gaussian Blur tool instead for smoother, more natural-looking results.
Frequently asked questions
- How to remove noise from an image using a median filter?
- Select your file and set the kernel size (1–5) — larger kernels remove more noise but soften fine detail.
- What is a median filter used for?
- Removing noise, especially salt-and-pepper noise, while preserving edges better than blur-based methods.
- Is this like Photoshop's Median filter?
- Yes — Photoshop's Median filter under Filter > Noise works identically, replacing each pixel with the median value nearby to reduce noise while preserving edges.
- What file formats can I export?
- You can export as PNG, JPEG, WebP, TIFF, BMP, or HEIC.
- Is this tool free to use?
- Yes — completely free, no account needed. Your images are processed entirely in your browser and never uploaded to a server. Downloads have no watermarks.
For developers
Use Median Filter from Python
Open the Jupyter notebook example to see how to run this tool from the BrushCue Python API, inspect the processing steps, and adapt the workflow for scripts or batch image jobs.
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