Whitening

This method removes "correlated noise components" from an image, resulting in an image with so-called "white noise", where the noise in every pixel is not correlated with the noise found in neighboring pixels. Such an ideal noise is also called "White Noise". This function should be used to pre-process image data that is later used to train an Noise2Void denoising model using the ZEN Intellesis Denoising. Keep in mind that applying a model trained on "whitened" datasets should be only applied to "whitened" images.