apply 1-degree wavelet transform to your image. in matlab

To apply 1-d wavelet transform on an image in MATLAB using the wavelet toolbox, we have to follow these steps:

1. Read the image using imread function.
2. Convert the input image to double format.
3. Use the wavelet decomposition function wavedec to decompose the input image into the approximation and details coefficients.
4. Extract the approximation coefficients and display the result using the waverec function.

Here's the sample code to implement the above steps:

main.m
% Reading the input image
I = imread('yourImage.jpg');

% Converting the input image to double format
I = im2double(I);

% Defining the Wavelet Transform type
wname = 'db1';

% Computing the 1D wavelet decomposition
[c, l] = wavedec(I, 1, wname);

% Extracting the approximation coefficients
I_approx = appcoef(c, l, wname);

% Displaying the approximation coefficients
imshow(I_approx);
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In the above code, c and l represent the set of wavelet coefficients and the corresponding lengths of the wavelet decomposition at each level, respectively. The appcoef function extracts the approximation coefficients from the wavelet decomposition, and imshow is used to display the approximation coefficients.

Note:

1. The imread function is used to read the image file and can handle any image format supported by MATLAB.
2. The im2double function is used to convert the input image to double format so that the wavelet transform can be applied to it.