Patent ID: 11971960
Assignee: THE JOHNS HOPKINS UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC G

Claim 13:
14. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to:
receive a training data set for training a laser noise reduction model,
wherein the training data set includes a set of image pairs of training objects, and
wherein an image pair, of the set of image pairs, includes a first image, of a training object of the training objects, that includes laser noise and a second image, of the training object, that includes less laser noise than the first image;

train, using a deep learning technique, the laser noise reduction model based on the training data set,
wherein the laser noise reduction model comprises a generator model to generate a reduced laser noise image and a discriminator model to train the generator model;

provide the laser noise reduction model based on training the laser noise reduction model;
receive, after training the laser noise reduction model, a coherent energy illuminated image, of a particular object not included in the training data set, that includes laser noise;
process, using the laser noise reduction model, the coherent energy illuminated image to generate a laser noise-reduced image;
provide the laser noise-reduced image as output;
perform image processing on the laser noise-reduced image to identify a characteristic of the laser noise-reduced image; and
provide additional output associated with the characteristic of the laser noise-reduced image.