Question: please update this code to get high quality > > % Read the input image input _ image = imread ( ' x 3 .

please update this code to get high quality >>
% Read the input image
input_image = imread('x3.jpeg');
figure, imshow(input_image), title('Original Image');
% Convert the image to grayscale
gray_image = rgb2gray(input_image);
figure, imshow(gray_image), title('Grayscale Image');
% Convert the image to HSV color space for better shadow analysis
hsv_image = rgb2hsv(input_image);
v_channel = hsv_image(:, :,3); % Extract the value (brightness) channel
% Perform adaptive thresholding on the V channel to detect shadow areas
threshold_level = graythresh(v_channel); % Compute threshold
shadow_mask = imbinarize(v_channel, threshold_level *0.8); % Adjust threshold
% Use morphological operations to clean up the shadow mask
se = strel('disk',5); % Structural element for morphological operation
shadow_mask = imclose(shadow_mask, se); % Close small gaps in the mask
shadow_mask = imfill(shadow_mask, 'holes'); % Fill holes in the shadow regions
figure, imshow(shadow_mask), title('Shadow Mask');
% Use inpainting to remove shadows from the image
inpainted_image = input_image; % Initialize the inpainted image
for i =1:3% Process each color channel
channel = inpainted_image(:, :, i);
channel(shadow_mask)= mean(channel(~shadow_mask)); % Inpaint shadow regions
inpainted_image(:, :, i)= channel;
end
figure, imshow(inpainted_image), title('Shadow Removed Image');
% Display final results
subplot(2,2,1), imshow(input_image), title('Original Image');
subplot(2,2,2), imshow(gray_image), title('Grayscale Image');
subplot(2,2,3), imshow(shadow_mask), title('Detected Shadow Mask');
subplot(2,2,4), imshow(inpainted_image), title('Shadow Removed Image');

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