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

Self-adaptive linearity transformation enhancing method of infrared image

An infrared image and linear transformation technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of inability to update and correct infrared image parameters in real time, and the image is too bright and dark, so as to improve the use range and enhance the effect. , improve the effect of observation

Inactive Publication Date: 2011-10-05
LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an adaptive linear transformation enhancement method for infrared images to solve th

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
  • Self-adaptive linearity transformation enhancing method of infrared image
  • Self-adaptive linearity transformation enhancing method of infrared image
  • Self-adaptive linearity transformation enhancing method of infrared image

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0016] An infrared image adaptive linear transformation enhancement method of the present invention utilizes image histogram statistics, and dynamic calculation of gray scale sampling range and pixel weighted average value to realize real-time adaptive linear enhancement of the image. The exponential conversion process in this method should optimize the algorithm as much as possible to improve operating efficiency. The key of the present invention is to use the dynamic calculation of the gray scale sampling range [a, b] and the pixel weighted average value av to realize the calculation method of real-time update of the correction parameters.

[0017] The method flow chart of the present invention is as figure 1 As shown, according to the histogram statistics of the gray value of an infrared image, the weighted average av of the gray values ​​of all pixels is calculated, combined with the calculated gray sampling range [a, b], to get the right angle corresponding to the histogram ...

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 relates to a self-adaptive linearity transformation enhancing method of an infrared image and is directed to the field of image enhancement technology. According to a histogram statistics of infrared image tonal values, a weight average value of all pixel tonal values av is calculated. A calculated gray scale sampling range [a, b] is combined to obtain the three points (a, 0), (av, 127) and (b, 255) in a rectangular coordinate system corresponding to the histogram. The tonal values are segmented and selected based on taking segments by the three points. A gray scale transformation is carried out towards the present image to realize enhancing the image. According to the invention, information on image scene and gray scale distribution is fully used, the gray scale distribution of a target scene is maximally used, and the disturbance from the background noise is maximally discarded. The invention not only suits for image enhancement correction of a specific object scene, but also suits for real-time self-adaptive image enhancement of same stage scenes, thereby substantially improving the usage range and enhancement effect of the linearity transformation method.

Description

technical field [0001] The invention belongs to the technical field of image enhancement, and in particular relates to an adaptive linear transformation enhancement method for infrared images. Background technique [0002] In the infrared image enhancement, the grayscale transformation enhancement algorithm is mostly used. This type of algorithm belongs to the spatial domain enhancement method of the image. This type of transformation is a transformation that maps the grayscale value r of the pixel to the value s. Among them, the linear The transformation is to convert the pixel value of the image according to the exponential function. In the traditional method, a fixed value is usually selected for the gray sampling range, or the size of the exponential value can be manually set, but it cannot be changed according to the adaptive image during the processing. parameter variable. The disadvantage of this method is that the correction parameters cannot be updated in real time...

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): G06T5/40
Inventor 崔岩汪江华
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