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

Claim 0:
1. A method of denoising images, 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 first range of values associated with the plurality of second pixel values;
determining a first scaling factor associated with a kth quantile of the first 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;
training a neural network to reproduce the plurality of fourth pixel values based at least in part on the plurality of third pixel values;
receiving a plurality of fifth pixel values representing a first image;
determining a second range of values associated with the plurality of fifth pixel values;
determining a second scaling factor based at least in part on a normalized range of values associated with the neural network, the second scaling factor representing the kth quantile of the second range of values;
performing a third scaling operation on the plurality of fifth pixel values that produces a respective plurality of sixth pixel values based on the second scaling factor; and
inferring a denoised image from the plurality of sixth pixel values based on the neural network.