A Regularized Decoding Method for Block Compressed Sensing

A block-compressed sensing and decoding method technology, applied in the field of computer image processing, can solve the problems of reconstructed image quality attenuation, etc., and achieve high peak signal-to-noise ratio, reduce block effect, and good image visual effects

Active Publication Date: 2020-09-22
北京航宇天穹科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This algorithm effectively reduces the block effect of the reconstructed image, but the quality of the reconstructed image is attenuated due to the introduction of Wiener filtering

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
  • A Regularized Decoding Method for Block Compressed Sensing
  • A Regularized Decoding Method for Block Compressed Sensing
  • A Regularized Decoding Method for Block Compressed Sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] A regularized decoding method for block-compressed sensing of the present invention will be described in detail below in conjunction with the accompanying drawings and a typical embodiment. The algorithm specifically includes the following parts:

[0033] The compression end uses block compression perception to compress the image, and the steps are as follows:

[0034] Input the image to be processed, where the size of the image X to be processed is N×N, divide the image into small block images of B×B, and expand the divided sub-image into a column vector x j ,in

[0035] The size of the measurement matrix φ is determined according to the sampling rate M required by the divided image, and the measurement matrix is ​​obtained as

[0036] M×B 2 OK, B 2 Column matrix; measure the data and get the measured value y j =φx j , choose the measurement matrix as a Gaussian random orthogonal measurement matrix; achieve the purpose of compression.

[0037] Use the measureme...

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 relates to a regularized decoding method for image block compressed sensing, comprising the following steps: an image X is divided into small images, and the sub images obtained are spread into a column vector xj; a measurement matrix is selected to measure data to get a measured value yj; and an original signal is reconstructed with the measured value and the measurement matrix, and a reconstruction end introduces the total variation regularization item of the image to a block compressed sensing smooth projection decoding algorithm to carry out total variation gradient descent, threshold processing, and projection onto convex sets. The invention designs a regularized decoding method for block compressed sensing, which enables the decoded image to be robust and obtain a better reconstruction effect.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a regularized decoding method for image block compression sensing. Background technique [0002] Compressed sensing is a new signal processing framework that breaks through the Nyquist sampling theorem. Information compression and signal reconstruction are two important components of compressed sensing. Information compression methods are mainly divided into two categories, compressing the entire image and compressing the image separately after dividing into blocks. The overall compressed sensing often needs to store a large measurement matrix, which takes up a large amount of memory. At the same time, the calculation of the overall compressed sensing is also very large. [0003] To this end, researchers have proposed a block compression method, which first divides the image into small blocks of a specified size, and then compresses each small block image using the same...

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 Patents(China)
IPC IPC(8): G06T9/00
CPCG06T9/007
Inventor 韩肖君陈乾彭林科王鹏飞王文斌胡宏华高鹏飞张嵘
Owner 北京航宇天穹科技有限公司
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