skimage2.restoration

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.

ball_kernel	Create a ball kernel for restoration.rolling_ball.
calibrate_denoiser	Calibrate a denoising function and return optimal J-invariant version.
cycle_spin	Cycle spinning (repeatedly apply func to shifted versions of x).
denoise_bilateral	Denoise image using bilateral filter.
denoise_invariant	Apply a J-invariant version of a denoising function.
denoise_nl_means	Perform non-local means denoising on 2D-4D grayscale or RGB images.
denoise_tv_bregman	Perform total variation denoising using split-Bregman optimization.
denoise_tv_chambolle	Perform total variation denoising in nD.
denoise_wavelet	Perform wavelet denoising on an image.
ellipsoid_kernel	Create an ellipoid kernel for restoration.rolling_ball.
estimate_sigma	Robust wavelet-based estimator of the (Gaussian) noise standard deviation.
inpaint_biharmonic	Inpaint masked points in image with biharmonic equations.
richardson_lucy	Richardson-Lucy deconvolution.
rolling_ball	Estimate background intensity using the rolling-ball algorithm.
unsupervised_wiener	Unsupervised Wiener-Hunt deconvolution.
unwrap_phase	Recover the original from a wrapped phase image.
wiener	Restore image using Wiener–Hunt deconvolution.