Infrared image background suppression method based on Wavelet and Curvelet conversion

An infrared image and background suppression technology, applied in the field of image processing, to achieve the effect of ensuring diversity and suppressing the background effect

Inactive Publication Date: 2009-04-08
HARBIN INST OF TECH
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem in the method of suppressing background interference in the field of infrared image processing that suppresses useful target information

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
  • Infrared image background suppression method based on Wavelet and Curvelet conversion
  • Infrared image background suppression method based on Wavelet and Curvelet conversion
  • Infrared image background suppression method based on Wavelet and Curvelet conversion

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0016] Specific implementation mode one: see Figure 1 ~ Figure 4 , this embodiment consists of the following steps:

[0017] Step 1: Perform Wavelet transform decomposition and Curvelet decomposition on the original infrared image respectively.

[0018] First, undecimated Wavelet Transform (UWT) decomposition is performed on the input original infrared image.

[0019] The traditional discrete wavelet transform adopts sampling operation when decomposing the signal, which makes part of the time-domain characteristics of the original signal cannot be preserved in the decomposition result, and the decomposition result is variable in translation. In order to overcome this defect and obtain more complete characteristics of the analyzed signal, the present invention adopts non-decimated wavelet transform, the basic principle of which is not to sample the signal, so it is translation invariant and provides rich time-domain features information and precise frequency localization inf...

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

An infrared image background suppression method which is based on Wavelet and Curvelet transforms relates to an infrared image processing method, and the method is used for solving the problem that the method for suppressing background interference in the infrared image processing field also suppresses the useful target information while realizing the background clutter suppression. The Wavelet transform decomposition and the Curvelet transform decomposition are respectively carried out on an original infrared image; high-frequency decomposition coefficients under different resolutions are respectively retained for the Wavelet coefficient and the Curvelet coefficient, the low-frequency decomposition coefficient is set as zero; image reconstruction is carried out on the decomposed original infrared image by the retained Wavelet coefficient and the Curvelet coefficient respectively; image fusion is respectively carried out on a Wavelet coefficient reconstruction image and a Curvelet coefficient reconstruction image which are obtained by step 4 by a multi-resolution decomposition frame, thereby obtaining the final infrared image background suppressing result.

Description

technical field [0001] The invention relates to an infrared image processing method, which belongs to the field of image processing. Background technique [0002] An infrared automatic target recognition system generally consists of functional modules such as target detection, target recognition, target acquisition, target high-precision tracking, and attack point selection. As the front-end processing link in the infrared imaging guidance system, target detection is a key issue in precision guidance. In order to find the target as early as possible, so that the guidance system has enough reaction time and improve the early warning distance of defensive weapons, it is required to detect the target at a very long distance, so that the target can be found as early as possible. When the detection distance and imaging field of view increase, even if the target itself is large, it will only appear as a few pixels or even less than one pixel in the imaging plane, which is called ...

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): G06T5/50G06T3/00
Inventor 谷延锋郭琰刘星韩景龙张晔
Owner HARBIN INST OF TECH
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