CPC G06T 3/4053 (2013.01) [G06T 3/4046 (2013.01); H04N 23/69 (2023.01)] | 20 Claims |
1. An image processing method implemented by a terminal, comprising:
training a super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image to obtain a first target super-resolution convolutional neural network model;
enabling a photographing function of the terminal;
enabling a zoom function of the terminal;
receiving a selection input of a user;
determining a target zoom magnification based on the selection input;
collecting a to-be-processed image;
processing the to-be-processed image using the first target super-resolution convolutional neural network model to obtain a processed image corresponding to the target zoom magnification by:
identifying that the target zoom magnification is greater than a maximum optical zoom magnification of the terminal; and
processing, in response to the identifying, the to-be-processed image using the first target super-resolution convolutional neural network model; and
displaying the processed image.
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