jit.convolve Reference

Convolve two matrices

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

matrix inputs:2, matrix outputs:1
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