Patent · US Active

Training super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image

US11704771B2 · kind B2 · utility

0Cited by

1References

20Claims

0Family size

Assignee

Huawei Technologies Co., Ltd. · CN

Inventors

Yunchao Zhang · Shanghai, CN
Shuai Chen · Shanghai, CN
Zhiping Jia · Xi'an, CN
Lei Miao · Beijing, CN

Key dates

Filing date	Dec 1, 2017
Grant date	Jul 18, 2023
Priority date	—
Expiry date	Feb 28, 2039

Classification

Technology area (CPC H)Electricity
CPC primaryH04N23/815
WIPO fieldAudio-visual technology
WIPO sectorElectrical engineering

Abstract

An image processing method and a device, where the image processing method is performed by a terminal having a digital zoom function, and the method includes determining a target zoom magnification based on a selection input of a user, collecting a to-be-processed image, and processing the to-be-processed image using a target super-resolution convolutional neural network model to obtain a processed image corresponding to the target zoom magnification, where the target super-resolution convolutional neural network model is obtained by training a super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image.

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