Infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering

A compressive sensing reconstruction and guided filtering technology, which is applied in image enhancement, image coding, image data processing, etc., can solve the problems of poor effect and low infrared image quality, and achieve low sparsity and good compressive sensing reconstruction effect Effect

Active Publication Date: 2015-01-07
XIDIAN UNIV
View PDF1 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the low quality of traditional infrared images and the poor effect of existing compressive sensing reconstruction met

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 compressed sensing reconstruction method based on guiding filtering and clipping filtering
  • Infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering
  • Infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0019] Step 1, perform sparse transformation on the original infrared image

[0020] (1a) Multi-scale decomposition of the original infrared image using guided filtering to obtain a low-frequency blurred image and a series of high-frequency detail images

[0021] Guided Filtering (GF) is an explicit filter based on a local linear model, which can quickly achieve edge-preserving smoothing without gradient reversal. There is a local linear model between the filtered output Y and the guide image X, assuming that Y is a linear transformation of X, in a local window ω centered on the pixel s s middle:

[0022] Y m = u s X m + v s , ∀ m ∈ ω s ...

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 infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering. The method mainly solves the problems that a traditional infrared image is low in quality and an existing compressed sensing reconstruction method is poor in effect. The method comprises the steps of (1) utilizing guiding filtering for conducting multi-scale decomposition on an original infrared image to obtain a low-frequency fuzzy image and a series of high-frequency detailed images, (2) conducting multi-direction decomposition on the high-frequency detailed images by means of the clipping filtering, adopting a partial Hadamard matrix for conducting dimensionality reduction observation for coefficients in different directions, a multi-path matching tracking method is used for optimization and reconstruction, conducting clipping filtering on the reconstructed coefficients in different directions to obtain the reconstructed high-frequency detailed images, and (3) adding the reconstructed high-frequency detailed images with a low-frequency smooth image obtained through traditional linear sampling to obtain an infrared reconstructed image. Compared with an existing compressed sensing technology, the better reconstructed quality is obtained, and the infrared image reconstruction method is effective and feasible.

Description

technical field [0001] The invention relates to an infrared image compression sensing reconstruction method based on guidance filtering and shearing filtering. Background technique [0002] Infrared imaging systems have been widely used in military and civilian fields, such as infrared night vision, precision guidance, search and tracking, and security monitoring. As people's image acquisition requirements for infrared systems become more and more refined and diversified, it is necessary to improve the quality of the system. However, due to the limitations of manufacturing processes and quantum efficiency, it is difficult to reduce the pixel size or increase To improve the quality of infrared imaging system, it has become a bottleneck in the development of modern infrared imaging technology. Therefore, it is necessary to break the traditional imaging method and develop a new infrared imaging system to achieve high-quality infrared imaging. [0003] The emerging compressed ...

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): G06T9/00G06T5/00G06T11/00
Inventor 秦翰林韩姣姣周慧鑫宗靖国赖睿延翔王炳健李佳曾庆杰成宽洪刘上乾
Owner XIDIAN UNIV
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