GaussianDenoise

GaussianDenoise applies Gaussian smoothing to a 2D intensity image.

Inputs

• input_image: 2D intensity image.

• sigma: Gaussian sigma in pixels.

Outputs

• output_image: smoothed float image.

Dependencies and Core Libraries

imageio, NumPy, and the package-local Gaussian smoothing helper.

Assumptions

The image is 2D and smoothing is intended as a baseline denoising step, not a learned restoration model.

Minimal Example

from bioimageflow_core import Arguments
from bioimageflow_restoration_tools import GaussianDenoise

GaussianDenoise().process_row(
    Arguments(input_image="noisy.tif", sigma=1.0, output_image="denoised.tif")
)

Expected Results

Synthetic noisy images become smoother while preserving array shape.

Failure Modes

Unreadable images, unsupported dimensions, invalid sigma values, and write failures raise errors.