Video super-resolution reconstruction method

A super-resolution reconstruction and low-resolution technology, applied in image analysis, image data processing, instruments, etc., can solve the problem of high computational overhead in single-frame processing, and achieve the effect of avoiding computational overhead

Pending Publication Date: 2020-04-24
ZHEJIANG DAHUA TECH CO LTD
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Problems solved by technology

[0005] This application mainly provides a video super-resolution reconstruction method to solve the problem of large computational overhead in existing single-frame processing

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  • Video super-resolution reconstruction method
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Embodiment Construction

[0015] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0016] The terms "first", "second", and "third" in the embodiments of the present application are only used for descriptive purposes, and should not be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first", "second" and "third" may expressly or implicitly include at least one of such feature. In the description of the present application, "plur...

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Abstract

The invention discloses a video super-resolution reconstruction method. The video super-resolution reconstruction method comprises the following steps: acquiring a plurality of low-resolution trainingimage blocks which are continuous in time and a high-resolution training image block corresponding to at least one low-resolution training image block; training a convolutional neural network model by taking the plurality of low-resolution training image blocks as input data and taking the high-resolution training image blocks as truth value tags; and performing super-resolution reconstruction onthe low-resolution to-be-reconstructed video by using the trained convolutional neural network model. According to the method, the time-related characteristics of the video are fully considered in the training process of the model, so that unnecessary calculation overhead caused by frame-by-frame processing can be effectively avoided through subsequent super-resolution reconstruction.

Description

technical field [0001] The present application relates to the technical field of video processing, in particular to a video super-resolution reconstruction method. Background technique [0002] Super-resolution reconstruction refers to a technology that uses a computer to process a low-resolution image or video to obtain a high-resolution image or video. Super-resolution reconstruction can provide more detailed information than traditional interpolation methods, which can greatly improve the quality of images or videos. [0003] In related technologies, most super-resolution algorithms are aimed at a single image, that is, they are processed frame by frame. Specifically, the video super-resolution reconstruction algorithm usually intercepts the video as a frame-by-frame picture, performs super-resolution reconstruction on the entire picture, and then connects the results of each frame into a video, which will cause unnecessary computing overhead. [0004] In addition, for ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/90
CPCG06T3/4046G06T3/4053G06T7/90G06T2207/10016G06T2207/20081G06T2207/20084
Inventor 任馨怡王枫熊剑平
Owner ZHEJIANG DAHUA TECH CO LTD
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