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Video sampling and recovering algorithm based on block matching and compressed sensing

A compressed sensing and block matching technology, applied in the field of video coding algorithms, which can solve the problems of high time consumption, video smear, and poor video quality, and achieve the effects of low time consumption, improved signal-to-noise ratio, and reduced video smear.

Inactive Publication Date: 2015-10-28
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0007] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a video sampling restoration algorithm based on block matching compressed sensing, which can realize video sampling and restoration in a compressed sensing manner. By implementing this method, technicians can not only Achieve more efficient video sampling and restoration, and can also solve the problems of poor video quality, high time-consuming and video motion smear caused by traditional solutions

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  • Video sampling and recovering algorithm based on block matching and compressed sensing
  • Video sampling and recovering algorithm based on block matching and compressed sensing
  • Video sampling and recovering algorithm based on block matching and compressed sensing

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[0028] The present invention will be further described below in conjunction with specific examples.

[0029] Such as figure 1 As shown, the video sampling recovery algorithm based on block-matching compressed sensing described in this embodiment is specifically: in the measurement phase, a dual-scale sensing (Dual-Scale Sensing, DSS) matrix is ​​used to continuously analyze the original video signal at a certain time interval Linear measurements are made until the end of the raw video signal to obtain a series of measurements. The measurement method is as follows: Taking matrix operation as an example, the number of columns in the DSS matrix is ​​the length of the signal. Each measurement is equivalent to taking a row of the DSS matrix and performing an inner product operation with the video signal, and the result of the operation is a measurement value. Since the DSS matrix has fewer rows than columns, a series of measurements is a low-dimensional projection of a high-dimens...

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Abstract

The present invention discloses a video sampling and recovering algorithm based on block matching and compressed sensing, concretely comprising the steps of: during a measuring phase, utilizing a double-scale sensing matrix to continuously perform linear measurement for an original video signal at a certain time interval, so as to obtain a series of measured values; during a recovery phase, recovering low-resolution frames of the video from the measured values by utilizing a least square method, then calculating displacements of pixel blocks of each low-resolution frame and adjacent frames thereof through a block matching algorithm and generating a motion estimation constraint, and recovering high-resolution frames of the video from the motion estimation constraint and the measured values by utilizing a compressed sensing recovery algorithm. The video sampling and recovering algorithm of the present invention is suitable for performing video sampling and recovering in a compressed sensing mode. Compared with a traditional scheme, the video sampling and recovering algorithm of the present invention can shorten the time for recovering the video through compressed sensing and can improve the quality of the recovered video frames.

Description

technical field [0001] The present invention relates to the technical field of video coding algorithms, in particular to a video sampling restoration algorithm based on block matching compression sensing. Background technique [0002] Signal sampling is the bridge connecting the physical world we live in and the computer digital world. Through sampling technology, people can convert a large number of analog signals into digital signals. However, in recent years, people's demand for video information is increasing, especially for high-resolution data, and videos in various high-definition formats are widely popular. However, collecting and transmitting such high-definition video will bring huge sampling and transmission pressure. [0003] In recent years, compressive sensing theory has attracted more and more attention from researchers. Compressed sensing directly samples in a compressed way, that is, "sampling while compressing", which breaks away from the method in class...

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Application Information

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IPC IPC(8): H04N19/132H04N19/51H04N19/57
Inventor 毕盛曾潇董敏黄鑫龙
Owner SOUTH CHINA UNIV OF TECH
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