diff --git a/meshroom/nodes/aliceVision/ImageProcessing.py b/meshroom/nodes/aliceVision/ImageProcessing.py
index bbfadfb1..cc73c9e0 100644
--- a/meshroom/nodes/aliceVision/ImageProcessing.py
+++ b/meshroom/nodes/aliceVision/ImageProcessing.py
@@ -287,49 +287,53 @@ Convert or apply filtering to the input images.
                 enabled=lambda node: node.noiseFilter.noiseEnabled.value,
             ),
         ]),
-        desc.GroupAttribute(name="nlmFilter", label="NL Means Denoising", description="NL Means Denoising Parameters.", joinChar=":", groupDesc=[
+        desc.GroupAttribute(name="nlmFilter", label="NL Means Denoising (8 bits)",
+                            description="NL Means Denoising Parameters.\n This implementation only works on 8-bit images, so the colors can be reduced and clamped.",
+                            joinChar=":", groupDesc=[
             desc.BoolParam(
-                name='denoiseEnabled',
+                name='nlmFilterEnabled',
                 label='Enable',
                 description='Use Non-local Mean Denoising from OpenCV to denoise images',
                 value=False,
                 uid=[0],
             ),
             desc.FloatParam(
-                name='filteringParamH',
+                name='nlmFilterH',
                 label='H',
-                description='Parameter regulating filter strength. Bigger H value perfectly removes noise but also removes image details, smaller H value preserves details but also preserves some noise.',
+                description='Parameter regulating filter strength for luminance component.\n'
+                            'Bigger H value perfectly removes noise but also removes image details, smaller H value preserves details but also preserves some noise.',
                 value=5.0,
                 range=(1.0, 1000.0, 0.01),
                 uid=[0],
-                enabled=lambda node: node.nlmFilter.denoiseEnabled.value,
+                enabled=lambda node: node.nlmFilter.nlmFilterEnabled.value,
             ),
             desc.FloatParam(
-                name='filteringParamHForColorComponents',
+                name='nlmFilterHColor',
                 label='HColor',
-                description='Parameter regulating filter strength for color images only. Normally same as Filtering Parameter H. Not necessary for grayscale images',
-                value=5.0,
+                description='Parameter regulating filter strength for color components. Not necessary for grayscale images.\n'
+                            'Bigger HColor value perfectly removes noise but also removes image details, smaller HColor value preserves details but also preserves some noise.',
+                value=10.0,
                 range=(0.0, 1000.0, 0.01),
                 uid=[0],
-                enabled=lambda node: node.nlmFilter.denoiseEnabled.value,
+                enabled=lambda node: node.nlmFilter.nlmFilterEnabled.value,
             ),
             desc.IntParam(
-                name='templateWindowSize',
+                name='nlmFilterTemplateWindowSize',
                 label='Template Window Size',
                 description='Size in pixels of the template patch that is used to compute weights. Should be odd.',
                 value=7,
                 range=(1, 101, 2),
                 uid=[0],
-                enabled=lambda node: node.nlmFilter.denoiseEnabled.value,
+                enabled=lambda node: node.nlmFilter.nlmFilterEnabled.value,
             ),
             desc.IntParam(
-                name='searchWindowSize',
+                name='nlmFilterSearchWindowSize',
                 label='Search Window Size',
                 description='Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater denoising time.',
                 value=21,
                 range=(1, 1001, 2),
                 uid=[0],
-                enabled=lambda node: node.nlmFilter.denoiseEnabled.value,
+                enabled=lambda node: node.nlmFilter.nlmFilterEnabled.value,
             ),
         ]),
         desc.ChoiceParam(