Wavelet Toolbox

Two-Dimensional Discrete Wavelet Analysis

This section takes you through the features of two-dimensional discrete wavelet analysis using the MATLAB Wavelet Toolbox.

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

Analysis-Decomposition Functions

Function Name	Purpose
dwt2	Single-level decomposition
wavedec2	Decomposition
wmaxlev	Maximum wavelet decomposition level

Synthesis-Reconstruction Functions

Function Name	Purpose
idwt2	Single-level reconstruction
waverec2	Full reconstruction
wrcoef2	Selective reconstruction
upcoef2	Single reconstruction

Decomposition Structure Utilities

Function Name	Purpose
detcoef2	Extraction of detail coefficients
appcoef2	Extraction of approximation coefficients
upwlev2	Recomposition of decomposition structure

De-noising and Compression

Function Name	Purpose
ddencmp	Provide default values for de-noising and compression
wbmpen	Penalized threshold for wavelet 1-D or 2-D de-noising
wdcbm2	Thresholds for wavelet 2-D using Birgé-Massart strategy
wdencmp	Wavelet de-noising and compression
wthrmngr	Threshold settings manager

In this section, you'll learn:

• How to load an image
• How to analyze an image
• How to perform single-level and multilevel image decompositions and reconstructions (command line only)
• How to use Square and Tree mode features (GUI only)
• How to zoom in on detail (GUI only)
• How to compress an image

Importing and Exporting Information from the Graphical Interface

Two-Dimensional Analysis Using the Command Line