Data loss in image
8 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
dani elias
le 15 Oct 2022
Commenté : dani elias
le 16 Oct 2022
I have an encrypted image,I wantit to like these so I can be able to test for data loss
7 commentaires
Réponse acceptée
Image Analyst
le 16 Oct 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')
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Image Segmentation and Analysis dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!