Joe’s Noise Reducer combines an interlace-savvy median filter with two-pass edge detection to reduce noise while preserving image fidelity. This filter is tuned for video noise, and is best previewed on an external video monitor.
Example Images
One consequence of median-based noise reduction is a loss of some fine detail. Usually this appears as a slight diffusion effect and is most apparent on still images. For removing noise from a mostly static clips, use Joe’s Multi-Frame Blender.
Occasionally applying this filter to the chroma channels will cause a slight greenish color shift. To avoid this, apply noise reduction only to the Luma channel.
The Controls
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Opacity (0 - 100)
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How much noise to reduce, blends the noise-reduced image with the original.
Edge Detection
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Mask Detail (0 - 5)
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Increases the amount of detail considered when preserving edges.
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Preserve Edges (0 - 100)
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Overall intensity of the edge mask, used to set how much to preserve edges without affecting the overall opacity.
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Show Edge Mask
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Determines whether the noise changes on every frame or stays fixed for the duration of the effect.
Channel Targeting
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Color Format (RGB, YUV)
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Chooses which color space to use for the noise reduction effect.
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Channel Switches (Luma, Cb, Cr, Red, Green, Blue)
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Toggles the effect for the selected channels, depending on the color format setting.
Feeds
he visto el uso de este filtor y es realmente fantastico!
Posted by MARTIN G at 1:46 pm on May 12th, 2010