denormalization of picture in matlab

To perform denormalization of an image in MATLAB, you need to first understand the concept of normalization in image processing. Normalization is the process of adjusting the range of pixel values of an image, so that the image has an overall brightness and contrast that is suitable for the application.

Denormalization is the reverse process of normalization. It involves transforming the pixel values back to their original range. This can be useful, for example, when you have applied a normalization technique to enhance the contrast of an image, and you want to recover the original pixel values for further processing.

Here's a simple code snippet that demonstrates the denormalization of an image by reversing the normalization process:

main.m
% Load image
I = imread('example.png');

% Normalize image
I_norm = imadjust(I);

% Denormalize image
I_denorm = imadjust(I_norm, [], [], 1/1.2);

% Show original, normalized, and denormalized images side-by-side
montage({I, I_norm, I_denorm}, 'Size', [1 3], 'BorderSize', 10);
278 chars
12 lines

In this example, the imadjust function is used to apply a simple normalization technique that stretches the pixel values between the minimum and maximum intensity values of the image. The second imadjust function call provides additional input arguments to adjust the contrast and intensity range of the denormalized image.

Note that denormalization of an image is not always necessary, and depends on the specific application and normalization technique used.