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Smooths an image using a predefined gaussian kernel.
Name | Type | Description | |
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inImage | Image | Input image |
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inRoi | Region* | Range of outImage pixels to be computed |
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inKernel | GaussKernel | Predefined Gauss kernel |
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outImage | Image | Output image |
Applications
Removal of gaussian noise from images (fast).
Description
This operation is a simplified, fast in computation, version of SmoothImage_Gauss, with predefined kernel and simplified ROI handling.
Kernel used in operation can be chosen by inKernel parameter:
- Box_3x3: 3 by 3 pixels kernel with StdDev ≈ 0.85 of following form:
- Box_5x5: 5 by 5 pixels kernel with StdDev ≈ 1.1 of following form:
- Box_7x7: 7 by 7 pixels kernel with StdDev ≈ 1.7 of following form:
- Box_9x9: 9 by 9 pixels kernel with StdDev ≈ 2.0 of following form:
- Box_11x11: 11 by 11 pixels kernel with StdDev ≈ 2.2 of following form:
Hints
- Select kernel size by setting the inKernel input.
Examples
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SmoothImage_Gauss_Mask performed on a sample image with inKernel = _11x11.
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16.
This operation supports automatic parallelization for multicore and multiprocessor systems.
Complexity Level
This filter is available on Basic Complexity Level.
Filter Group
This filter is member of SmoothImage filter group.
See Also
- SmoothImage_Gauss – Smooths an image using a gaussian kernel.
- SmoothImage_Mean_Mask – Smooths an image by averaging pixels within a small rectangular kernel.