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

An image super-resolution reconstruction method

A super-resolution reconstruction and high-resolution technology, applied in the field of image super-resolution reconstruction, can solve the problems of restricting the quality of reconstructed images, huge amount of calculation, large registration error, etc. Small error effect

Active Publication Date: 2019-05-21
HEFEI I TEK OPTOELECTRONICS CO LTD
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, motion registration often has a huge amount of calculation, and it will inevitably bring errors. Registration errors will be converted into reconstruction errors, which will restrict the quality of reconstructed images. Especially when the image quality is low, the registration errors will be large and the reconstruction effect will be poor.

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
  • An image super-resolution reconstruction method
  • An image super-resolution reconstruction method
  • An image super-resolution reconstruction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] Below, the technical solution of the present invention will be described in detail through specific examples.

[0057] refer to figure 1 , an image super-resolution reconstruction method proposed by the present invention includes two reconstruction methods, one is fusion-based super-resolution reconstruction, and the other is difference-based super-resolution reconstruction.

[0058] Such as figure 1 Shown: One is super-resolution reconstruction based on fusion, including the following steps S1 to S3:

[0059] S1: Acquire an initial low-resolution image sequence

[0060] S2: Through the initial low-resolution image sequence get high resolution image sequence

[0061] S3: Sequence of high-resolution images Perform image fusion to obtain the restored image.

[0062] Through the above sequence of low-resolution images The method of super-resolution restoration and image fusion achieves the purpose of obtaining high-resolution images through multiple frames of l...

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 super-resolution reconstruction method. The method comprises the following steps: 1, Obtaining an initial low-resolution image sequence (shown in the description); obtaining a High-resolution image sequence (shown in the description) by using the initial low-resolution image sequence (shown in the description); carrying out image fusion on High-resolution image sequence (shown in the specification) to obtain a restored image. The method for obtaining an initial low-resolution image sequence (shown in the specification) to obtain a high-resolution image sequence(shown in the specification) comprises the following steps: inputting a set high resolution image, obtaining a high resolution registration deviation image (shown in the specification), calculatinga down sampling matrix W, and obtaining an initial low resolution image sequence through the down sampling matrix W; calculating the High resolution image sequence by initial low resolution image sequence.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image super-resolution reconstruction method. Background technique [0002] Resolution is one of the important indicators for evaluating image quality. A higher resolution image means that it can provide richer detail information and have better visual effects and image quality. However, in reality, due to the limitation of imaging system hardware conditions, coupled with the influence of factors such as noise and focus deviation, the images we obtain are often of low resolution, which cannot meet the needs of practical applications, and there are phenomena such as noise and blur. Image super-resolution reconstruction can use existing equipment, adopt signal processing technology, and break through the inherent resolution limitation of the imaging system through software means, reconstruct images with higher resolution from low-resolution images, and improve image qua...

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): G06T3/40G06T5/00G06T5/50
Inventor 邵云峰李博川曹桂平李子民
Owner HEFEI I TEK OPTOELECTRONICS CO LTD
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