NEURAL NETWORK-BASED HIGH-RESOLUTION IMAGE RESTORATION METHOD AND SYSTEM

The present invention relates to a neural network-based high-resolution image restoration method and system, including: performing feature extraction on a target frame in a network input to obtain a first feature, performing feature extraction on a first frame and an adjacent frame and an optical fl...

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Bibliographic Details
Main Authors GAO, Lihang, YANG, Jianfeng, CAO, Honglong, LIAO, Dong, HU, Jianling
Format Patent
LanguageEnglish
Published 18.05.2023
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:The present invention relates to a neural network-based high-resolution image restoration method and system, including: performing feature extraction on a target frame in a network input to obtain a first feature, performing feature extraction on a first frame and an adjacent frame and an optical flow between the first frame and the adjacent frame to obtain a second feature, and concatenating the first feature and the second feature to obtain a shallow layer feature; performing feature extraction and refinement on the shallow layer feature to obtain a plurality of output first features and a plurality of output second features; performing feature decoding on the plurality of output second features, and concatenating decoded features along channel dimensionality to obtain features; and performing weight distribution on the features to obtain final features, and restoring an image. The present invention can effectively help to improve image quality.
Bibliography:Application Number: US202117642137