Sparseness estimation-based distributed video compressed sensing fast reconstruction method

A distributed video and compressed sensing technology, applied in the field of distributed video compressed sensing rapid reconstruction, can solve the problems of poor real-time performance and large amount of calculation, and achieve the effect of short time consumption, small amount of calculation, and improved reconstruction speed.

Active Publication Date: 2015-11-11
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The purpose of the present invention is to provide a fast reconstruction method based on sparsity estimation in distributed video compression sensing, which solves the problem that the traditional compression sensing reconstruction method has a large amount of calculation and poor real-time performance, and is not suitable for distributed video compression perception problem

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  • Sparseness estimation-based distributed video compressed sensing fast reconstruction method
  • Sparseness estimation-based distributed video compressed sensing fast reconstruction method
  • Sparseness estimation-based distributed video compressed sensing fast reconstruction method

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Embodiment Construction

[0031] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0032] like figure 1 As shown, the present invention provides a method for fast reconstruction of distributed video compression perception based on sparsity estimation, and the method includes the following steps:

[0033] Input: compressed sensing signal Y of the frame to be reconstructed cs , the decoded previous frame f k-1 , the decoded subsequent frame f k+1 , measurement matrix Φ={ω i , i=1, 2, 3..., m} and a hard threshold τ.

[0034] Output: reconstructed frame f cs .

[0035] The concrete realization process of the present invention comprises the following steps:

[0036] Step 1: Calculate f k-1 The measured value of Y k-1 = Φf k-1 ;

[0037] Step 2: Calculate Y k-1 with I cs The residual R between cs =Y cs -Y k-1 ;

[0038] Step 3: Calculate f k+1 with f k-1 The residual R between f = f k+1 -f k-1 ;

[0039] Step 4: To R f Perform di...

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Abstract

The invention discloses a sparseness estimation-based distributed video compressed sensing fast reconstruction method. According to the method, based on relevance between distributed video frames, sparseness estimation is carried out for a measured value of compressed sensing, the estimated sparseness is substituted in an orthogonal matching pursuit algorithm for reconstruct compressed video images, and a great deal of calculation is reduced. The method accelerates reconstruction of the compressed sensing images on the premise of guaranteeing that quality of the reconstructed images is mainly unchanged, and meets the requirement of real-time property of video information better.

Description

technical field [0001] The invention relates to a distributed video compression sensing fast reconstruction method based on sparsity estimation, and belongs to the technical field of video image processing. Background technique [0002] With the rapid development of information technology and the Internet, multimedia has become the most important carrier for people to obtain information, and multimedia services will be the key services of wireless broadband networks in the future. At present, in order to adapt to the increasing development of wireless networks, more and more mobile video terminals are used in multimedia communications, such as wireless video detectors, camcorders, and wireless multimedia sensor networks (WirelessMultimediaSensorNetwork, WMSN). These devices usually need to encode the video in real time, and send the code stream to a central node for decoding and display. In this case, resources such as processing power and power consumption of encoding equi...

Claims

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Application Information

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IPC IPC(8): H04N19/90H04N19/63H04N19/30
Inventor 张登银纪应天
Owner NANJING UNIV OF POSTS & TELECOMM
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