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bioimageflow-restoration-tools

Tools for restoration inference, simple image-processing comparisons, and restoration metrics. Package discovery requires only bioimageflow-core; ImageIO, NumPy, SciPy, scikit-image, and CAREamics are supplied by the processing environments when tools execute.

Tools

  • CAREamicsPredict: runs CAREamics restoration inference from a checkpoint.
  • RestorationMetrics: computes MSE, PSNR, and residual-noise measurements.
  • TotalVariationDenoise: applies Chambolle total-variation denoising.
  • BilateralDenoise: applies edge-preserving bilateral denoising.
  • GaussianDenoise: applies Gaussian smoothing as a simple denoising method.
  • MedianDenoise: removes impulse noise with a SciPy median filter.
  • BackgroundSubtract: subtracts a smoothed background estimate.
  • UnsharpMask: sharpens images by adding high-frequency residuals.
  • RichardsonLucyRestoration: runs Richardson-Lucy deconvolution.

Use the low-SNR restoration workflow in the main workflow catalog for a complete restoration example.

RestoreImage was removed in favor of the dedicated TotalVariationDenoise, BilateralDenoise, GaussianDenoise, and UnsharpMask tools. BackgroundSubtract.preserve_range was renamed to shift_to_zero because it shifts the minimum to zero rather than preserving the original range.

Metadata

Release files for bioimageflow-restoration-tools 0.2.2

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