SmoothPatchBased node

This documentation is for version 2.0 of SmoothPatchBased (net.sf.cimg.CImgDenoise).

Description

Denoise selected images by non-local patch averaging.

This uses the method described in: Non-Local Image Smoothing by Applying Anisotropic Diffusion PDE’s in the Space of Patches (D. Tschumperlé, L. Brun), ICIP’09 (https://tschumperle.users.greyc.fr/publications/tschumperle_icip09.pdf).

Uses the ‘blur_patch’ function from the CImg library.

CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications (see http://cimg.eu).

Inputs

Input	Description	Optional
Source		No
Mask		Yes

Controls

Parameter / script name	Type	Default	Function
Spatial Std Dev / sigma_s	Double	10	Standard deviation of the spatial kernel, in pixel units (>=0).
Value Std Dev / sigma_r	Double	0.05	Standard deviation of the range kernel, in intensity units (>=0). In the context of denoising, Liu et al. (“Noise estimation from a single image”, CVPR2006) recommend a value of 1.95*sigma_n, where sigma_n is the local image noise.
Patch Size / psize	Integer	5	Size of the patchs, in pixels (>=0).
Lookup Size / lsize	Integer	6	Size of the window to search similar patchs, in pixels (>=0).
Smoothness / smoothness	Double	1	Smoothness for the patch comparison, in pixels (>=0).
fast Approximation / is_fast_approximation	Boolean	On	Tells if a fast approximation of the gaussian function is used or not
(Un)premult / premult	Boolean	Off	Divide the image by the alpha channel before processing, and re-multiply it afterwards. Use if the input images are premultiplied.
Invert Mask / maskInvert	Boolean	Off	When checked, the effect is fully applied where the mask is 0.
Mix / mix	Double	1	Mix factor between the original and the transformed image.