Efficient reconstruction method in compression perceptual system

A compressed sensing and high-efficiency technology, applied in the field of signal reconstruction, can solve the problem that the reconstruction method cannot improve the accuracy and speed at the same time

Active Publication Date: 2011-08-24
HARBIN INST OF TECH
View PDF1 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0023] In order to solve the problem that the accuracy and speed cannot be improved at the same time in the existing reconstruction method, the present invention proposes an efficient reconstruction method in the compressed sensing system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Efficient reconstruction method in compression perceptual system
  • Efficient reconstruction method in compression perceptual system
  • Efficient reconstruction method in compression perceptual system

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0072] Specific embodiment one: illustrate this embodiment in conjunction with figure, the steps of this embodiment are as follows:

[0073] Step 1: Input the measured value Y0, and the information of one-dimensional signal reconstruction and two-dimensional signal reconstruction;

[0074] Step 2: According to the 1D signal reconstruction information and 2D signal reconstruction information input in step 1, judge whether it is 1D signal reconstruction or 2D signal reconstruction. If it is 1D signal reconstruction, perform step 3. If it is 2D signal reconstruction , execute step 4;

[0075] Step 3: record Y=Y0, and input measurement matrix Φ, sparse matrix Ψ, and execute step 5;

[0076] Step 4: Execute the vectorization operation vec on the measured value Y0, record Y=vec(Y0):

[0077] If the randomness of the coefficients in the measurement matrix in the process of compressed sensing is considered, as long as the measurement matrix Φ2 of the two-dimensional signal is not un...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an efficient reconstruction method in a compression perceptual system, relates to a data processing method which is used for solving the problem that the precision and the speed cannot be improved simultaneously in the existing reconstruction method and comprises the following steps: firstly arranging a measurement value Y0 into a form for easily realizing a reconstruction algorithm, if one-dimensional reconstruction is required, ensuring that the measurement value is not arranged, and if two-dimensional reconstruction is required, vectorizing the measurement value to obtain Y; then enabling the k to be equal to 1, uk to be equal to 0 and vk to be equal to 0, thus obtaining expressions as shown in the specification; performing non-contribution iteration in an iterative step to compute the times s of the non-contribution iteration; if the change times s of the vk just enable the uk+1 to change, containing the following iterative formulas as shown in the specification in the iterative steps to judge an expression as shown in the specification, then judging whether the judgment is met so as to determine whether to converge the iteration, iterating until the iteration is converged; and finally, if an one-dimensional signal is required to reconstruct, directly using signal sparseness to represent a reconstruction original signal, and if a two-dimensional signal is required to reconstruct, inversely vectorizing a sparseness coefficient u, and using the sparseness of the image to represent the reconstruction original image. The efficient reconstruction method can be applied to the reconstruction of the one-dimensional or two-dimensional signal in the compression perceptual system.

Description

technical field [0001] The invention relates to a data processing method, in particular to a signal reconstruction method in a compressed sensing system. Background technique [0002] In recent years, a new theory - compressive sensing (compressive sensing) theory has emerged internationally. The theory points out that as long as the signal is compressible or the signal is sparse in a certain transformation domain, then the original signal can be measured with a measurement matrix unrelated to the sparse matrix, and the high-dimensional image can be projected to a low-dimensional space, the original signal can then be completely reconstructed from this small number of projected values ​​by solving an optimization problem. Compressed sensing does not need to go through the process of sampling and then compressing, which largely overcomes the shortcomings of traditional signal acquisition and processing. [0003] The compressive sensing measurement and reconstruction process...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
Inventor 陈浩张晔张钧萍谷延锋唐文彦
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap