I have done with image deblurring and now i want to get a emotion of a face with box design

% Load the original image
Ioriginal = imread('greyface1.jpg');
imshow(Ioriginal);
title('Original Image');

% Define the motion blur point spread function (PSF)
PSF = fspecial('motion', 21, 11);

% Convert the original image to double
Ioriginal = im2double(Ioriginal);

% Apply motion blur to the original image
blurred = imfilter(Ioriginal, PSF, 'conv', 'circular');
imshow(blurred);
title('Blurred Image');

% Restore the blurred image without noise
wnr1 = deconvwnr(blurred, PSF);

% Calculate the absolute differences between the original and restored images
err = imabsdiff(Ioriginal, wnr1);

% Display the restored image
imshow(wnr1);
title('Restored Blurred Image');

% Create a histogram of the absolute differences
figure;
histogram(err);
title('Histogram of Absolute Differences');

Answer 1

[Shreeya]

I'm assuming that after all the required image processing, you want to detect the facial emotion in the image. The MATLAB file exchange linked below employs deep learning for this purpose:

https://www.mathworks.com/matlabcentral/fileexchange/71819-face-age-and-emotion-detection