This function operates on 2D grayscale and multichannel images. For 2D grayscale images, the input should be 3D with size 1 along the last axis. The code is compatible with an arbitrary number of channels.
Input RGB image to be denoised
Size of patches used for denoising
Maximal distance in pixels where to search patches used for denoising
Cut-off distance (in gray levels). The higher h, the more permissive one is in accepting patches.
Expected noise variance. If non-zero, this is used to reduce the apparent patch distances by the expected distance due to the noise.
Denoised image, of same shape as input image.
Perform non-local means denoising on 2-D RGB image
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them
