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

Edge priority guide single-frame remote sensing image super-resolution processing method

A super-resolution and edge prior technology, applied in the field of image processing, can solve problems such as high complexity, blocky effect, and blurred edges of ground objects

Active Publication Date: 2015-06-24
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
View PDF1 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem solved by the present invention is: to overcome the shortcomings of the existing single-frame super-resolution method when it is applied to remote sensing images, such as high complexity, block effect, and blurred edges of ground objects, and to provide a method based on edge priors for large-scale remote sensing images. Constrained single-frame super-resolution parallel processing method, fusion gradient field transfer and iterative post-projection processing method, so that the edge details of the final reconstructed image can be preserved, while the quality indicators such as signal-to-noise ratio are not greatly reduced and the processing speed is fast

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
  • Edge priority guide single-frame remote sensing image super-resolution processing method
  • Edge priority guide single-frame remote sensing image super-resolution processing method
  • Edge priority guide single-frame remote sensing image super-resolution processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Judging from the trend of single-frame super-resolution of remote sensing images, the reconstruction method that preserves edges and details has great advantages in speed and effectiveness.

[0048] The edge refers to the collection of pixels with step-change pixel grayscale in the image, which exists between the target and the background, the target and the target, and the region and the region, and is related to the image brightness or the first derivative of the image brightness (gradient field). discontinuities, which appear as step edges and line edges. Because the edge information in remote sensing images often corresponds to real ground objects, such as roads, rivers, etc. Therefore, the prior value of the reconstruction-based single-frame super-resolution processing method of the present invention will use the gradient field and edge information of the image to be processed.

[0049] It should be noted here that the images described in the present invention are...

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 provides an edge priority guide single-frame remote sensing image super-resolution processing method. Edge details of an image to be processed serve as priorities high-frequency information restoration is conducted on an intermediate image generated through interpolation, and the details are prevented from being lost or becoming fuzzy. The method is based on the regular optimization theory, a single-frame image super-resolution processing mechanism is provided, the image detail description capacity can be effectively improved, the quality of the image can be improved, the parallel capacity of the remote sensing image which is large in data size is good, and execution efficiency is high.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a super-resolution processing method of a single-frame remote sensing image. Background technique [0002] Resolution is an important evaluation index to measure the imaging quality of optical satellite images. The detailed information contained in remote sensing images is closely related to resolution, which directly affects the ability to analyze, identify and locate targets. Due to the limitation of pixel size, coupled with the bulky and expensive high-resolution cameras, only low-resolution images can be obtained. Therefore, under the existing imaging environment (the hardware conditions of the imaging system cannot be changed) and data source conditions, how to use digital image processing technology to improve the resolution of remote sensing images according to information theory is one of the important links in satellite ground analysis and processing. [0003] Commonly use...

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): G06T5/00
Inventor 曹世翔刘薇邢坤何红艳周楠李岩张炳先岳春宇李方琦
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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