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Video compression method based on super-resolution reconstruction

A technology of super-resolution reconstruction and video compression, applied in the fields of digital video signal modification, image communication, electrical components, etc., can solve the problems of low video peak signal-to-noise ratio, loss of information, difficulty in use, etc., and improve the peak signal-to-noise ratio. ratio, reduce the degree of compression, and reduce the effect of information loss

Active Publication Date: 2021-06-08
XIDIAN UNIV
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Problems solved by technology

[0003] At present, most of the traditional video compression methods use the correlation of video data in space and time for video compression. Among them, the widely used video compression method is the H.264 video compression method, which mainly uses intra-frame prediction. Video compression, inter-frame predictive compression, and data quantization coding are used to achieve video compression, but this method does not fully apply the prior information in video big data, and will lose more in some scenarios that require low bit rate compression of data information, resulting in a low peak signal-to-noise ratio of the reconstructed video, which brings difficulties to subsequent use

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[0035] The embodiments and effects of the present invention will be further described below in conjunction with the accompanying drawings.

[0036] refer to figure 1 , the specific implementation steps of this example are as follows:

[0037] Step 1, get training samples.

[0038] The high-definition video in the present embodiment comprises 542 video sequences, and each video sequence is made up of 32 continuous frames, mainly is the high-definition video sequence collected from high-definition documentaries, relatively real, and there are forest, snow, desert, urban life in the data set and other scenes, where most of the video frames have a resolution of 1280*720, the steps to obtain training samples from these video sequences are as follows:

[0039] (1a) Store 2 copies of the above-mentioned 542 video sequence backups, one as the original sample set X={X 1 ,X 2 ,...,X i ,...,X N}, where X i Indicates the i-th video, N indicates the total number of videos, X i ={X ...

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Abstract

The invention discloses a video compression method based on super-resolution reconstruction, which mainly solves the problem of low peak signal-to-noise ratio of the reconstructed video due to the loss of more information in the case of low bit rate compression in the existing method, and the implementation steps To: 1. Obtain training samples including compressed sample sets and input video sets; 2. Construct a deep convolutional neural network model based on the TensorFlow architecture; 3. Use the obtained training samples to train the constructed deep convolutional neural network model; 4. After preprocessing the video to be compressed, input it into the trained deep convolutional neural network model, compress and restore the video, and obtain the final restored video. The invention reduces the loss of information in the case of low code rate compression, improves the peak signal-to-noise ratio of restored video, and can be applied to video storage, video transmission and video communication occasions.

Description

technical field [0001] The invention belongs to the technical field of video compression, in particular to a video compression method, which can be applied to video storage, video transmission and video communication occasions. Background technique [0002] With the continuous development of the video industry chain and the continuous breakthrough of computer technology, the information dissemination method using video as the carrier has been widely used. Compared with ordinary text and pictures, the amount of data contained in video is relatively large, and with the rapid development of imaging equipment, in some scenarios where ultra-high-definition video is used, the amount of data contained in ultra-high-definition video is very large. When storing or transmitting, video is often required to be compressed due to the limitation of memory capacity and network bandwidth, and the data will be damaged during the compression process, which will bring difficulties to subsequent...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/132H04N19/172H04N19/42
CPCH04N19/132H04N19/172H04N19/42
Inventor 董伟生范兴宣毋芳芳石光明
Owner XIDIAN UNIV
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