Guide image filtering based adaptive infrared image detail enhancement method

A technology for guiding images and infrared images, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems that the balance between noise suppression and detail enhancement cannot be guaranteed, and achieve good visual effects, good real-time performance, and improved real-time performance Effect

Inactive Publication Date: 2017-08-04
EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & TECH +1
View PDF2 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above defects or deficiencies of the prior art, the present invention provides an adaptive infrared image detail enhancement algorithm based on guided image filtering, which improves the deficiencies of the GF&DDE algorithm and overcomes the inability to guarantee noise suppression and detail enhancement in the prior art. Technical issues such as balance between enhancements

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
  • Guide image filtering based adaptive infrared image detail enhancement method
  • Guide image filtering based adaptive infrared image detail enhancement method
  • Guide image filtering based adaptive infrared image detail enhancement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] figure 1 It is a flowchart of an adaptive infrared image detail enhancement algorithm based on guided image filtering according to an embodiment of the present invention. like figure 1 As shown, the specific implementation of the adaptive infrared image detail enhancement method based on guided image filtering in the embodiment of the present invention is as follows:

[0036] Step S1, image-guided filtering layering

[0037] The original image passes through the guided image filter, where the guided image is the original image itself, which can achieve a better filtering effect. The filt...

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 guide image filtering based adaptive infrared image detail enhancement method, which comprises the steps of firstly dividing an original image into a basic layer containing a low-frequency background and a detail layer containing high-frequency details by adopting a guide filter; then processing the basic layer by adopting an improved adaptive histogram projection algorithm so as to realize improvement for the image contrast and improve the scene adaptability of the algorithm; meanwhile, processing the detail layer by adopting a method based on a noise visibility function so as to enhance image details and suppress image noise; and finally building a final output image by using the processed basic layer and the processed detail layer. According to the invention, true infrared image data under multiple scenes can be effectively improved by adopting an adaptive threshold parameter selecting method and a simpler detail layer processing process, the output image is good in contrast and rich in detail and has good visual effects, and the real-time performance of the algorithm is also good.

Description

technical field [0001] The invention belongs to the field of infrared image processing, and more specifically relates to an adaptive infrared image detail enhancement method based on guided image filtering. Background technique [0002] Because infrared imaging technology has unique advantages such as high reliability, good confidentiality, light and easy to carry, it has been widely used in national economic life. However, limited to the physical characteristics of the infrared detector itself and environmental factors, infrared images generally have the disadvantage of low contrast, which not only seriously affects its own image quality, but also is not conducive to subsequent image reprocessing such as image target recognition and tracking. Perform image enhancement processing. [0003] To solve the problem of high dynamic range and low contrast of infrared images, the existing technology usually adopts adaptive gain control and histogram equalization method to compress ...

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
CPCG06T5/003G06T2207/10048G06T2207/20024G06T2207/20221
Inventor 周波梁琨
Owner EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & 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