IWAVHAAR_CVIP

iwavhaar_cvip() - performs inverse wavelet transform based on Haar wavelet.

SYNTAX
DESCRIPTION
REFERENCE
EXAMPLE
CREDITS

SYNTAX

[ out_mat ] = iwavhaar_cvip( img,dec )

Input Parameters Include:

img - The orignial image spectrum.

dec - The decomposition level. Same as the level used for forward transform. An integer greater than or equal to 1.

Output Parameter Include:

out_mat - The wavelet transform of the image using Haar wavelet transform.

DESCRIPTION

This function computes the inverse wavelet transform of the input image based on the Haar wavelet transform. The argument block_size should match the same value given for the forward transform. For more details look at the reference below.

REFERENCE

1. Scott E Umbaugh. DIGITAL IMAGE PROCESSING AND ANALYSIS: Applications with MATLAB and CVIPtools, 3rd Edition.

EXAMPLE

%Read image

 a = imread('butterfly.tif');

% b is of type double, so it requires hist_stretch_cvip for remapping.

 b = double(a);

% Decomposition level

 dec = 2;

% Calling wavhaar transform

 w = wavhaar_cvip(b,dec);

% This is a good way to remap

 S = log(1+abs(w));

 S = remap_cvip(S);

% Calling inverse transform

 out_mat= iwavhaar_cvip(w,dec);

% Display input image

 figure;imshow(a);title('Input Image');

% Display Output images

 figure, imshow(S,[]);title('Output image after wavhaar transform')  % tranforms for display.

 figure; imshow(hist_stretch_cvip(out_mat,0,1,0,0),[]);title('Output image after inverse wavhaar transform');

IWAVHAAR_CVIP

Contents

SYNTAX

DESCRIPTION

REFERENCE

EXAMPLE

CREDITS