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SmoothImage_Gauss_Mask


Module: FoundationLite

Smooths an image using a predefined gaussian kernel.

Applications

Removal of gaussian noise from images (fast).
Name Type Description
Input value inImage Image Input image
Input value inRoi Region* Range of outImage pixels to be computed
Input value inKernel GaussKernel Predefined Gauss kernel
Output value outImage Image Output image

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_2x2: 3 by 3 pixels kernel similar to 2 by 2 gaussian kernel rotated by 45 degrees; with StdDev ≈ 0.6: $$ \frac{1}{8}\begin{bmatrix} 0 & 1 & 0 \\ 1 & (4) & 1 \\ 0 & 1 & 0 \\ \end{bmatrix} $$
  • Box_3x3: 3 by 3 pixels kernel with StdDev ≈ 0.85 of following form: $$ \frac{1}{16}\begin{bmatrix} 1 & 2 & 1 \\ 2 & (4) & 2 \\ 1 & 2 & 1 \\ \end{bmatrix} $$
  • Box_5x5: 5 by 5 pixels kernel with StdDev ≈ 1.1 of following form: $$ \frac{1}{169}\begin{bmatrix} 1 & 3 & 5 & 3 & 1 \\ 3 & 9 & 15 & 9 & 3 \\ 5 & 15 & (25) & 15 & 5 \\ 3 & 9 & 15 & 9 & 3 \\ 1 & 3 & 5 & 3 & 1 \\ \end{bmatrix} $$
  • Box_7x7: 7 by 7 pixels kernel with StdDev ≈ 1.7 of following form: $$ \frac{1}{256}\begin{bmatrix} 1 & 2 & 3 & 4 & 3 & 2 & 1 \\ 2 & 4 & 6 & 8 & 6 & 4 & 2 \\ 3 & 6 & 9 & 12 & 9 & 6 & 3 \\ 4 & 8 & 12 & (16) & 12 & 8 & 4 \\ 3 & 6 & 9 & 12 & 9 & 6 & 3 \\ 2 & 4 & 6 & 8 & 6 & 4 & 2 \\ 1 & 2 & 3 & 4 & 3 & 2 & 1 \\ \end{bmatrix} $$
  • Box_9x9: 9 by 9 pixels kernel with StdDev ≈ 2.0 of following form: $$ \frac{1}{1089}\begin{bmatrix} 1 & 2 & 4 & 6 & 7 & 6 & 4 & 2 & 1 \\ 2 & 4 & 8 & 12 & 14 & 12 & 8 & 4 & 2 \\ 4 & 8 & 16 & 24 & 28 & 24 & 16 & 8 & 4 \\ 6 & 12 & 24 & 36 & 42 & 36 & 24 & 12 & 6 \\ 7 & 14 & 28 & 42 & (49) & 42 & 28 & 14 & 7 \\ 6 & 12 & 24 & 36 & 42 & 36 & 24 & 12 & 6 \\ 4 & 8 & 16 & 24 & 28 & 24 & 16 & 8 & 4 \\ 2 & 4 & 8 & 12 & 14 & 12 & 8 & 4 & 2 \\ 1 & 2 & 4 & 6 & 7 & 6 & 4 & 2 & 1 \\ \end{bmatrix} $$
  • Box_11x11: 11 by 11 pixels kernel with StdDev ≈ 2.2 of following form: $$ \frac{1}{4096}\begin{bmatrix} 1 & 2 & 4 & 8 & 11 & 12 & 11 & 8 & 4 & 2 & 1 \\ 2 & 4 & 8 & 16 & 22 & 24 & 22 & 16 & 8 & 4 & 2 \\ 4 & 8 & 16 & 32 & 44 & 48 & 44 & 32 & 16 & 8 & 4 \\ 8 & 16 & 32 & 64 & 88 & 96 & 88 & 64 & 32 & 16 & 8 \\ 11 & 22 & 44 & 88 & 121 & 132 & 121 & 88 & 44 & 22 & 11 \\ 12 & 24 & 48 & 96 & 132 & (144) & 132 & 96 & 48 & 24 & 12 \\ 11 & 22 & 44 & 88 & 121 & 132 & 121 & 88 & 44 & 22 & 11 \\ 8 & 16 & 32 & 64 & 88 & 96 & 88 & 64 & 32 & 16 & 8 \\ 4 & 8 & 16 & 32 & 44 & 48 & 44 & 32 & 16 & 8 & 4 \\ 2 & 4 & 8 & 16 & 22 & 24 & 22 & 16 & 8 & 4 & 2 \\ 1 & 2 & 4 & 8 & 11 & 12 & 11 & 8 & 4 & 2 & 1 \\ \end{bmatrix} $$

Hints

  • Select kernel size by setting the inKernel input.

Examples

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 is optimized for SSE4.1 technology for pixels of types: Kernel 11x11 UINT8.

This operation is optimized for AVX2 technology for pixels of type: UINT8.

This operation is optimized for NEON technology for pixels of type: UINT8.

This operation supports automatic parallelization for multicore and multiprocessor systems.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Region exceeds an input image in SmoothImage_Gauss_Mask.

Complexity Level

This filter is available on Basic Complexity Level.

Filter Group

This filter is member of SmoothImage filter group.

See Also