Two-Dimensional Discrete Stationary Wavelet Analysis :: Using Wavelets (Wavelet Toolbox)

Wavelet Toolbox

Two-Dimensional Discrete Stationary Wavelet Analysis

This section takes you through the features of two-dimensional discrete stationary wavelet analysis using the MATLAB Wavelet Toolbox. For more information, see Available Methods for De-Noising, Estimation, and Compression Using GUI Tools.

The Wavelet Toolbox provides these functions for image analysis. For more information, see the reference pages.

Analysis-Decomposition Function

Function Name
Purpose

swt2
Decomposition

Function Name	Purpose
`swt2`	Decomposition

Synthesis-Reconstruction Function

Function Name
Purpose

iswt2
Reconstruction

Function Name	Purpose
`iswt2`	Reconstruction

The stationary wavelet decomposition structure is more tractable than the wavelet one. So, the utilities useful for the wavelet case are not necessary for the Stationary Wavelet Transform (SWT).

In this section, you'll learn to

Load an image
Analyze an image
Perform single-level and multilevel image decompositions and reconstructions (command line only)
De-noise an image

Importing and Exporting Information from the Graphical Interface Two-Dimensional Analysis Using the Command Line