Patent ID: 11967042
Assignee: SYNAPTICS INCORPORATED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A method of training neural networks, comprising:
receiving a plurality of first pixel values representing an input image having a first brightness level and a first amount of noise;
receiving a plurality of second pixel values representing a ground truth image having a second brightness level and a second amount of noise that is less than the first amount;
determining a range of values associated with the plurality of second pixel values;
determining a first scaling factor associated with a kth quantile of the range of values;
performing a first scaling operation on the plurality of first pixel values that produces a respective plurality of third pixel values based on the first scaling factor;
performing a second scaling operation on the plurality of second pixel values that produces a respective plurality of fourth pixel values based on the first scaling factor; and
training a neural network to reproduce the plurality of fourth pixel values based at least in part on the plurality of third pixel values.