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

Image fusion method based on guidance filtering

An image fusion and instructive technology, applied in the field of image processing, can solve the problems of poor visual effect of fusion and high computational complexity of visible light and infrared images

Active Publication Date: 2016-04-27
LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides an image fusion method based on guiding filtering, aiming to solve the problems of high computational complexity and poor fusion visual effect of existing visible light and infrared image fusion methods

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
  • Image fusion method based on guidance filtering
  • Image fusion method based on guidance filtering
  • Image fusion method based on guidance filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0026] In the image fusion method based on guided filtering in this embodiment, the infrared image is firstly subjected to maximum value filtering to obtain the highlight information therein; then the original infrared image is used as a guiding image (GuidanceImage) to perform guided filtering (GuidedFilter ) processing, the processing results are directly superimposed on the light image; finally, the superimposed image is subjected to Gamma Correction (GammaCorrection) to adjust the gray level of the pixel to obtain the final fusion output. The specific steps are as follows:

[0027] 1) For the original infrared image I i Perform maximum value filtering, filter results It can be expressed as:

[0028] I i max ( x ) = ...

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 present invention relates to an image fusion method based on guidance filtering. The method comprises the steps of (1) carrying out maximum value filtering on an original infrared image I to obtain an image I<max>, (2) using a guidance filtering algorithm to carry out further filtering processing on the I<max> and output an image I<GF>, (3) directly overlaying the image I<GF> to an original visible light image I<v> and obtaining an image I<f>, (4) carrying out gamma correction on the image I<f> and obtaining a final fusion image. The method is based on pixel fusion, the gray level of only a part of the region is raised, a fusion effect 'unnatural' phenomenon is avoided, in addition the algorithm calculation complexity is low, and the real-time processing is easy.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image fusion method based on guiding filtering. Background technique [0002] In view of the high resolution of visible light images and rich details such as edges and textures, they are easily affected by external environments such as weather; infrared images have strong adaptability, can penetrate general smog, and can continue to work day and night, but the grayscale of the image is Determined by temperature, there are few details and a sense of reality is not strong, so combining the two to complement each other can achieve better visual effects. At present, there are the following two related image fusion algorithms: ①Pixel weighted average method: assign a larger weight to the image area of ​​interest to obtain a dominant display. The advantage of this method is that the calculation complexity is low, and it is easy to process in real time. The disa...

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): G06T5/50G06T5/10
CPCG06T5/10G06T5/50G06T2207/20024G06T2207/20221
Inventor 葛秘蕾刘永进孙小亮
Owner LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
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