wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-07-04 23:55:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix description of denoising filters

Browse Source
This commit is contained in:
Johannes Schönberger
2012-10-16 17:28:42 +02:00
parent 52962f30f1
commit 62c1beccb5
1 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/examples/plot_denoise.py
+4 -3
View File
@@ -16,12 +16,13 @@ Total variation filter
The result of this filter is an image that has a minimal total variation norm,
while being as close to the initial image as possible. The total variation is
the L1 norm of the gradient of the image, and minimizing the total variation.
the L1 norm of the gradient of the image.
Bilateral filter
----------------
A bilateral filter is an edge-preserving and noise reducing denoising filter.
It averages pixel based on their spatial closeness and radiometric similarity.
A bilateral filter is an edge-preserving and noise reducing filter. It averages
pixels based on their spatial closeness and radiometric similarity.
"""