Function

# vDSP_f3x3D(_:_:_:_:_:)

Filters a double-precision image by performing a 2D convolution with a 3 x 3 kernel.

## Discussion

This is the same as `vDSP_f3x3(_:_:_:_:_:)`, except for the types of vectors `A`, `F`, and `C`.

### Fixed-Size Kernel

`static func convolve<T, U>(T, rowCount: Int, columnCount: Int, with3x3Kernel: U) -> [Double]`

Returns the 2D convolution of a double-precision vector with a 3 x 3 kernel.

`static func convolve<T, U>(T, rowCount: Int, columnCount: Int, with3x3Kernel: U) -> [Float]`

Returns the 2D convolution of a single-precision vector with a 3 x 3 kernel.

`static func convolve<T, U, V>(T, rowCount: Int, columnCount: Int, with3x3Kernel: U, result: inout V)`

Calculates the 2D convolution of a double-precision vector with a 3 x 3 kernel.

`static func convolve<T, U, V>(T, rowCount: Int, columnCount: Int, with3x3Kernel: U, result: inout V)`

Calculates the 2D convolution of a single-precision vector with a 3 x 3 kernel.

`static func convolve<T, U>(T, rowCount: Int, columnCount: Int, with5x5Kernel: U) -> [Double]`

Returns the 2D convolution of a double-precision vector with a 5 x 5 kernel.

`static func convolve<T, U>(T, rowCount: Int, columnCount: Int, with5x5Kernel: U) -> [Float]`

Returns the 2D convolution of a single-precision vector with a 5 x 5 kernel.

`static func convolve<T, U, V>(T, rowCount: Int, columnCount: Int, with5x5Kernel: U, result: inout V)`

Calculates the 2D convolution of a double-precision vector with a 5 x 5 kernel.

`static func convolve<T, U, V>(T, rowCount: Int, columnCount: Int, with5x5Kernel: U, result: inout V)`

Calculates the 2D convolution of a single-precision vector with a 5 x 5 kernel.

Beta Software

This documentation contains preliminary information about an API or technology in development. This information is subject to change, and software implemented according to this documentation should be tested with final operating system software.