Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Single image super-resolution reconstruction method based on TV priori

A technology of super-resolution reconstruction and single image, which is applied in image analysis, image enhancement, image data processing, etc., to overcome the lack of image edge information and improve the effect

Active Publication Date: 2019-10-01
LIAONING NORMAL UNIVERSITY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, so far there is no report on applying the TV model to single image super-resolution reconstruction

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
  • Single image super-resolution reconstruction method based on TV priori
  • Single image super-resolution reconstruction method based on TV priori
  • Single image super-resolution reconstruction method based on TV priori

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The single image super-resolution reconstruction method based on TV prior of the present invention, carries out according to the following steps successively:

[0024] Step 011: Obtain an image whose resolution is to be increased, denoted as Image_ori;

[0025] Step 012: If figure 1 As shown, the image Image_ori is upsampled by the bicubic interpolation omoms3 algorithm, and the obtained image is recorded as Image_omoms3;

[0026] Step 021: Set the size of the image Image_omoms3 as M*N, move point by point from the upper left corner of the image to obtain M*N blocks; start from the first block, such as figure 2 As shown, 28 TV direction templates with a size of 3*3 are established centering on the pixel to be repaired, which are recorded as o(n), n=1, 2, 3...28, and n is the serial number of the direction template, and the template The 9 pixels are recorded as {d1, d2, d3, d4, d5, d6, d7, d8, d9} from top to bottom and from left to right, and the 28 direction templat...

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 a single image super-resolution reconstruction method based on TV priori. The method comprises the following steps: firstly, carrying out up-sampling preprocessing on an imageto be improved in resolution by utilizing a bicubic interpolation algorithm omoms3; extracting TV prior information from the preprocessed image according to 28 TV direction templates; and finally, introducing TV prior information into a non-local regression framework, so that the texture and edge information of the super-resolution image can be better reserved, and the phenomenon of insufficient image edge information generated by a traditional interpolation algorithm can be overcome, and therefore, a super-resolution reconstructed image can be obtained, and a super-resolution effect can be greatly improved.

Description

technical field [0001] The invention relates to a single image super-resolution reconstruction method, in particular to a TV prior-based single image super-resolution reconstruction method capable of enhancing image edges. Background technique [0002] Currently, image super-resolution reconstruction is a fairly active research field, which provides solutions to the low-resolution limitation from mobile phone imaging to remote sensing imaging to medical imaging. Low-quality images are usually caused by low-cost sensor capture, narrow-band transmission, and poor light interference. When low-quality images are widely used in high-definition displays, visual analysis and recognition tasks tend to be performed in higher-resolution versions. Therefore, it is necessary to estimate the high-resolution image based on the content of the low-resolution image, that is, image super-resolution reconstruction. [0003] At present, people can only do everything possible to mine prior know...

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): G06T3/40G06T5/00
CPCG06T3/4053G06T2207/10004G06T5/77
Inventor 傅博李艺傅世林张湘怡王相海
Owner LIAONING NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com