Data loss in image
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dani elias
am 15 Okt. 2022
Kommentiert: dani elias
am 16 Okt. 2022
I have an encrypted image,I wantit to like these so I can be able to test for data loss
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1157608/Screenshot_20221015-174750_Drive.jpg)
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Image Analyst
am 16 Okt. 2022
Try this on your recovered image
% Create "recovered" image.
grayImage = imread('cameraman.tif');
grayImage = imnoise(grayImage, "gaussian", 0, .01);
[rows, columns, numberOfColorChannels] = size(grayImage)
subplot(2, 1, 1);
imshow(grayImage, []);
title('Initial Image')
% Define fraction of pixels to blacken in the middle.
pct = 0.25;
% Determine how many pixels that is.
numBlackPixels = pct * numel(grayImage)
% Assume it's a square and determine the width of the square
squareWidth = sqrt(numBlackPixels)
% Get the rows of the square in the original image
row1 = round(rows/2 - squareWidth/2)
row2 = round(rows/2 + squareWidth/2)
% Get the columns of the square in the original image
col1 = round(columns/2 - squareWidth/2)
col2 = round(columns/2 + squareWidth/2)
% Do the blackening:
grayImage2 = grayImage; % Initialize
grayImage2(row1:row2, col1:col2) = 0; % Blacken square in the middle
subplot(2, 1, 2);
imshow(grayImage2, [])
title('Output Image')
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