US 12,272,021 B2
Data pre-processing for low-light images
Karthikeyan Shanmuga Vadivel, San Jose, CA (US); Omar Oreifej, Los Angeles, CA (US); and Patrick A. Worfolk, Los Gatos, CA (US)
Assigned to Synaptics Incorporated, San Jose, CA (US)
Filed by Synaptics Incorporated, San Jose, CA (US)
Filed on Mar. 18, 2024, as Appl. No. 18/608,582.
Application 18/608,582 is a continuation of application No. 17/317,227, filed on May 11, 2021, granted, now 11,967,042.
Prior Publication US 2024/0257303 A1, Aug. 1, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 5/00 (2024.01); G06T 3/4046 (2024.01); G06T 5/70 (2024.01); G06T 7/90 (2017.01)
CPC G06T 3/4046 (2013.01) [G06T 5/70 (2024.01); G06T 7/90 (2017.01)] 20 Claims
OG exemplary drawing
 
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; and
inferring a denoised image from the plurality of fifth pixel values based on the neural network.