METHOD FOR RESTORING IMAGES AND VIDEO USING SELF-SUPERVISED LEARNING
A method for processing images comprising: capturing a plurality of degraded images of a first real-world environment with a first sensor; processing each degraded image with a first, untrained convolutional neural network, via a Deep Image Prior approach, to obtain a plurality of clean images, wher...
Saved in:
Main Authors | , |
---|---|
Format | Patent |
Language | English |
Published |
26.05.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | A method for processing images comprising: capturing a plurality of degraded images of a first real-world environment with a first sensor; processing each degraded image with a first, untrained convolutional neural network, via a Deep Image Prior approach, to obtain a plurality of clean images, wherein each clean image corresponds to a degraded image; pairing each clean image with its corresponding degraded image to create a plurality of degraded/clean image pairs; training, via a supervised learning approach, a machine learning model to learn a function for converting degraded images into restored images based on the plurality of degraded/clean image pairs; capturing a second plurality of degraded images of a second real-world environment; and using the trained machine learning model to convert the second plurality of degraded images into restored images based on the learned function. |
---|---|
Bibliography: | Application Number: US202017105135 |