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

Claim 0:
1. A device, comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, to:
receive a training data set for training a laser speckle 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 speckle and a second image, of the training object, that includes less laser speckle than the first image;

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

receive, after training the laser speckle reduction model, a coherent energy illuminated image, of a particular object not included in the training objects, that includes laser speckle;
process, using the laser speckle reduction model, the coherent energy illuminated image to generate a laser speckle-reduced image,
wherein processing the coherent energy illuminated image comprises processing the coherent energy illuminated image in connection with an incoherent energy illuminated image; and

provide an output connected with the laser speckle-reduced image and the incoherent energy illuminated image.