Filter-Based Denoising

Remove noise from TIFF image stacks using traditional filtering methods: Gaussian smoothing or Non-Local Means (NLM) denoising.

Filter-based denoising applies mathematical filters to reduce noise in your images. These methods are fast and don't require training data.

Available Methods

Gaussian Filter

Applies a weighted average based on distance from each pixel. Fast and simple, but may blur edges.

Best for: Uniform, random noise
Speed: Very fast
Trade-off: More smoothing = more blur

Non-Local Means (NLM)

Compares similar patches across the image to reduce noise while preserving edges.

Best for: Structured images with important edges
Speed: Slower than Gaussian
Trade-off: Better edge preservation but computationally intensive

Workflow

Select Image: Choose a TIFF stack to denoise
Configure: Select method and adjust parameters
Process: Apply denoising and view results