Distributed video compression sensing reconstruction method based on time correlation

A compressed sensing reconstruction and distributed video technology, applied in the fields of digital video signal modification, image communication, electrical components, etc., can solve the problem of not fully considering the time correlation of non-key frames of video, and reduce system reconstruction time, The effect of reducing side information calculation and decoding is simple

Active Publication Date: 2018-06-22
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

This method solves the problem that the time correlation of video non-key frames is not fully considered in the existing distributed video compression sensing process

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  • Distributed video compression sensing reconstruction method based on time correlation
  • Distributed video compression sensing reconstruction method based on time correlation
  • Distributed video compression sensing reconstruction method based on time correlation

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specific Embodiment

[0033] Below in conjunction with accompanying drawing, technical solution of the present invention is described in detail, specific embodiment is as follows:

[0034] Such as figure 1 As shown, the present invention provides a distributed video compression sensing reconstruction method based on temporal correlation, and the specific steps of the method are as follows:

[0035] Input: video sequence, each frame has I c × I r pixels (the image has I c pixels, each column has I r pixels);

[0036] Step 1: Split the original video stream into several image groups (Group of Picture, GOP) with a length of G, and the first frame of each group is x 0 is the key frame, and the remaining frames {x1 ,x 2 ,...,x t ...,x G-1} is a non-keyframe;

[0037] Step 2: Divide each non-key frame into small blocks, and the length and width of each block are B;

[0038] Step 3: Calculate the residual x of each non-key frame in an image group from the previous frame r =x t -x t-1 ;

[00...

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Abstract

The invention discloses a distributed video compression sensing reconstruction method based on time correlation. On the basis of establishing a distributed video compression sensing model without feedback, the method makes full use of the time correlation between non-key frames of video frames, performs pattern discrimination on each block of the non-key frames, and transmits the non-key frames with the residual encoding of the previous frame; and during the reconstruction, the reconstruction mode with edgeless information is adaptively selected according to the result of the mode discrimination, and the block of each non-key frame is reconstructed, thereby avoiding unnecessary calculation of the side information. The method utilizes the previous frame of the current frame for reconstruction instead of simply using the key frame as a reference frame for reconstruction, so that the time correlation between the video frames can be effectively utilized. The method can guarantee the reconstruction quality of the video at the same total sampling rate, while reducing the system reconstruction time, and no feedback channel is used.

Description

technical field [0001] The invention relates to a distributed video compression perception reconstruction method based on time correlation, and belongs to the technical field of video image processing. Background technique [0002] Due to the complexity of video signal processing and the large transmission traffic, for the application environment lacking power and communication network infrastructure, the existing video surveillance system cannot meet the application needs. Compressive Sensing (CS) technology deeply mines the sparsity inside the video signal, extracts the low-dimensional projection of the original signal through the undersampling method, and uses optimization or iteration to complete the reconstruction of the original signal with high probability. Applying CS to Distributed Video Coding (DVC) produces Distributed Compressive Video Sensing (DCVS), which saves storage space, reduces coding complexity, and improves the quality of video images. [0003] At pres...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/90H04N19/70H04N19/593H04N19/176H04N19/146H04N19/503
Inventor 张登银杨阳赵莎莎季航
Owner NANJING UNIV OF POSTS & TELECOMM
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