Image reconstruction design method improving noise variance estimation

A technology of noise variance estimation and design method, which is applied in the field of image processing and can solve problems such as affecting the quality of reconstructed images and inaccurate noise variance estimation.

Active Publication Date: 2015-12-23
NANJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a design method for improving the image reconstruction of noise variance e

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
  • Image reconstruction design method improving noise variance estimation
  • Image reconstruction design method improving noise variance estimation
  • Image reconstruction design method improving noise variance estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0046] Such as figure 1 As shown, a design method of image reconstruction for improved noise variance estimation, the method includes the following steps:

[0047] Input parameters: original image, block measurement matrix Φ B , block sparse matrix Ψ B , threshold parameter λ, termination threshold ε, sampling rate r, measurement block signal y j , j=0,1,...,255.

[0048] Initialization: i=0, D (0) = 0, j=0,1,...,255

[0049] Preprocessing: the original image size is 512×512, the image block x j The size is 32×32, where j=0,1,…,255. According to the image block x j variance The size of the value judges the complexity of the image block texture, and sets the block texture value δ j ,As follows:

[0050] δ j = 0.1 , ...

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 image reconstruction design method improving noise variance estimation. The method comprises the following steps of step1, using a sparse matrix psi B to convert an image block xj; step2, carrying out noise variance estimation; step3, carrying out image coefficient estimation; step4, carrying out Lanweber continuous projection on each block image so as to reconstruct the image; step5, determining whether the projection reconstruction block image satisfies a termination criterion. In the method, during a compression perception reconstruction image process, an image block texture characteristic, a sparse conversion type and an image sampling rate are used to improve the noise variance estimation; the estimated noise variance is substituted into a bivariate threshold projection reconstruction algorithm so as to reconstruct a compressed image and quality of the reconstruction image is increased.

Description

technical field [0001] The invention relates to an image reconstruction design method for improving noise variance estimation, which belongs to the technology in the field of image processing. Background technique [0002] In the past few decades, with the continuous enhancement of the sensor system's ability to process data, the processing of data volume has continued to increase, while the traditional Nyquist sampling theorem requires that the sampling of the signal is greater than or equal to two times the signal bandwidth. times, these requirements put forward higher requirements for signal processing capabilities, and also bring corresponding great challenges to hardware devices. In recent years, Compressed Sensing (CS for short) has broken through the traditional Nyquist sampling theorem and realized the transformation of the sampling method, that is, from signal sampling to information sampling. more attention. [0003] There are three core issues in CS theory, name...

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
IPC IPC(8): G06T11/00G06T5/00
Inventor 张登银沈洪泉
Owner NANJING UNIV OF POSTS & TELECOMM
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