# 2D Autocorrelation Wavelets Transform

The 2D AC Wavelet transform will take a 2D signal such as an image and decompose it into wavelet coefficients. First, the row-wise coefficients will be computed using the 1D transform and then the column wise coefficients for each set of row-wise coefficients will be computed to create a 4 dimensional tensor.

## Forward AC Wavelet Transform

There are 2 functions available for the 2D decomposition. The `ac2d`

function is the original implementation and is kept for replication purposes. We generally recommend using the `acwt2D`

function, which is a wrapper around `ac2d`

because it has a better syntax.

Missing docstring for `ac2d`

. Check Documenter's build log for details.

Missing docstring for `acwt2D`

. Check Documenter's build log for details.

## Inverse AC Wavelet Transform

To reconstruct a 2D signal from a 4 dimensional tensor of wavelet coefficients, use the `acwt2D`

function.

Missing docstring for `iacwt2D`

. Check Documenter's build log for details.