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


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