Super-resolution reconstruction method, device and equipment apparatus and storage medium

Abstract

The embodiment of the invention discloses a super-resolution reconstruction method, device and equipment apparatus based on artificial intelligence, and a storage medium, and the method comprises thesteps: obtaining a to-be-processed video frame sequence of a first resolution when the super-resolution reconstruction of a certain video file is needed, and enabling wherein the to-be-processed videoframe sequence to be is the video frame sequence of the video file; for each to-be-processed video frame in the to-be-processed video frame sequence, performing resolution reconstruction on the eachto-be-processed video frame according to the resolution reconstruction model to obtain an initial reconstructed video frame with a second resolution, wherein ; second resolution is higher than first resolution. D; determining a contour region in the initial reconstructed video frame through a residual separation mode; and carrying out contour enhancement processing is performed on the contour region to obtain a target reconstructed video frame, so that high-frequency details are clearer, and an image quality optimal result conforming to an online practical application scene is obtained, and therefore, a. A reconstructed video frame sequence with a second resolution can be generated according to the target reconstructed video frame, and cleaner, clearer, more natural and more comfortable video experience can be provided for users.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an artificial intelligence-based super-resolution reconstruction method, device, device and storage medium. Background technique [0002] Image super-resolution refers to the technology of reconstructing a high-resolution image by processing one or more low-resolution images with complementary information, which is widely used in various media data (such as video or image) quality, such as online video viewing, medical imaging, video surveillance, remote sensing imaging and other fields. [0003] A super-resolution reconstruction method based on deep learning has been proposed in related technologies, but the generalization effect of the super-resolution reconstruction method in related technologies is poor. Facing real scenes online, the results obtained may not be the results with the best picture quality, often Satisfactory super-resolution effects cannot be obtained...

AI Technical Summary

Problems solved by technology

[0003] A super-resolution reconstruction method based on deep learning has been proposed in related technologies, but the generalization effect of the super-resolution reconstruction method in related technologies is poor. Facing real scenes online, the obtained results may not be the results with the best picture quality, often Unable to achieve satisfactory super-resolution effect

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