Patent · US Active

Device based on machine learning

US12086956B2 · kind B2 · utility

1Cited by
3References
7Claims
0Family size

Assignee

Inventors

Key dates

Filing dateFeb 9, 2022
Grant dateSep 10, 2024
Priority date
Expiry dateMar 12, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06T2207/30196
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

An image processing device includes a convolutional neural network (CNN) architecture configured to perform at least one of denoising, deblurring, dehazing, and color correction on an input. The input comprises a plurality of low-quality input images having different exposure values captured for the same object at the same time by a camera under display (CUD) to render a high-quality output image. The CNN architecture is trained using a set of training images including a plurality of low-quality training images having different exposure values and a high-quality training image corresponding to the plurality of low-quality training images.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.