jit.convolve
Description
Computes the correlation between two matrices (an image and a kernel). For true convolution, rotate the kernel 180º. This may be used for typical image processing tasks like blurring, sharpening, and edge detection. By default, the convolution kernel is a 3 by 3 float32 matrix.
Examples
Matrix Operator
| Name | IOProc | Planelink | Typelink | Dimlink | Plane | Dim | Type |
|---|---|---|---|---|---|---|---|
| in2 | adapt | 0 | 0 | 0 | 1 | 1 | float32 |
| out | n/a | 1 | 1 | 1 | 1 | 1 | char long float32 float64 |
More about Matrix Operators
The Jitter MOP
MOP Arguments
MOP Attributes
MOP Messages
Attributes
boundmode [int]
Boundary case handling mode (default = 0 (clip))
0 = clip: cells which lie outside the domain of the input data will clip to the nearest cell within the domain of the input data (e.g. a convolution which would need to use cell (0,-1) would instead use cell (0,0)).
1 = wrap: cells which lie outside the domain of the input data will wrap via modulus arithmetic within the domain of the input data (e.g. a convolution on a 320 by 240 matrix which would need to use cell (0,-1) would instead use cell (0,239)).
2 = ignore: cells which lie outside the domain of the input data will not be used in calculating the convolution.
origin [2 ints]
The origin of the convolution kernel (default = 1 1)
Common Box Attributes
See Also
| Name | Description |
|---|---|
| Working with Video in Jitter | Working with Video in Jitter |
| jit.fastblur | |
| jit.op |