MATLAB: How to add noise to every image in image datastore

Question

Hi! I am trying to add gauss noise to every image in image datastore. I want to compare a network trained on normal images with a network trained on only noisy images. A found a soltion here:

https://www.mathworks.com/help/deeplearning/ug/image-to-image-regression-using-deep-learning.html

The way the noise is added here, is by creating a TransformedDatastore, but I can not use it to train a netvork. It gives the folowing error:

It also threw an error every time I wanted to use it's own object functions, even though I followed the steps in the link above. I basically want to have two image datastores with the same pictures, one with noise, one without noise. Is there a way to do that?

Answer 1

From my understanding you want add gaussian noise to all the image, you can use imnoise and loop through all the images from your dataset.