CN106228525A - A kind of method suppressing infrared image excessively to strengthen - Google Patents

A kind of method suppressing infrared image excessively to strengthen Download PDF

Info

Publication number
CN106228525A
CN106228525A CN201610724217.6A CN201610724217A CN106228525A CN 106228525 A CN106228525 A CN 106228525A CN 201610724217 A CN201610724217 A CN 201610724217A CN 106228525 A CN106228525 A CN 106228525A
Authority
CN
China
Prior art keywords
image
excessively
strengthen
enhancing
real time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610724217.6A
Other languages
Chinese (zh)
Other versions
CN106228525B (en
Inventor
赵勋
曾衡东
章睿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Jinglin Science and Technology Co Ltd
Original Assignee
Chengdu Jinglin Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Jinglin Science and Technology Co Ltd filed Critical Chengdu Jinglin Science and Technology Co Ltd
Priority to CN201610724217.6A priority Critical patent/CN106228525B/en
Publication of CN106228525A publication Critical patent/CN106228525A/en
Application granted granted Critical
Publication of CN106228525B publication Critical patent/CN106228525B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/90Dynamic range modification of images or parts thereof
    • G06T5/92Dynamic range modification of images or parts thereof based on global image properties
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/40Image enhancement or restoration using histogram techniques

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)

Abstract

The invention discloses a kind of method suppressing infrared image excessively to strengthen, it includes: S1: original image carries out input statistics, average mean in statistics original image and variance var, analyzes its distribution situation, to ensure the real-time that image calculates;S2: set up average mean and var mathematical model, then calculate the dispersion degree of image according to this model;S3: calculate the real time enhancing coefficient of image according to the dispersion degree of image;S4: utilize the enhancing coefficient of image, infrared image is carried out real time enhancing.Under different scenes, the enhancing coefficient obtained is different, so can effectively utilize the dispersion degree of image to control the enhancing degree of image, it is ensured that the display effect of image, the enhancing coefficient of image can be regulated in real time, effectively limit original image and be excessively stretched in the image enhaucament stage;In the case of driftlessness or weak signal target, can effectively be suppressed situation about excessively strengthening by the method, make image show more natural.

Description

A kind of method suppressing infrared image excessively to strengthen
Technical field
The present invention relates to the image processing techniques in computer realm, a kind of suppress infrared image excessively to strengthen Method.
Background technology
Existing scheme is primarily directed to Visual image processing, and for the excessive enhancement techniques of suppression of infrared image processing Almost without, and traditional Visual image processing mode is not suitable for infrared image processing, therefore increases for infrared image The excessive enhancing situation occurred in the reason of strength needs special handling, and why needs the method suppressing excessively to strengthen, and is because Infrared image is in the case of circumstance of temperature difference is the least, and the distribution of produced image is the narrowest, and this can affect us and see Examine.Accordingly, it would be desirable to image is carried out enhancement process, as in figure 2 it is shown, owing to source images indication range is the least, and image enhaucament gesture The excessive enhancing of image must be caused, and excessively strengthening caused direct result is exactly that picture noise is substantially excessively amplified, Not fogging clear, affect display effect.
Owing to the technical merit of the Infrared Detectors of our country to fall behind a lot relative to visible image capturing head, cause red The contrast that the image that the image of external detector output does not has visible ray to export is had is high, the feature that noise is little, simultaneously because Far have dynamic range output gather scene impact the biggest.Infrared image is caused to there will be under different scenes completely Different output data, during carrying out infrared image real time enhancing, it is likely that there will be due to a upper scene is red Outer image scene is abundanter, and dynamic range is relatively wide, and the infrared image of a upper scene can use the strongest rectangular histogram to increase Strong coefficient goes to regulate the output of image, but once shows that scene is undergone mutation, or has abundant scene change for only to have Time in the scene of a small amount of effective information, it may appear that the relevant parameter of a upper scene is not appropriate for current scene, causes image Excessively strengthened, it is therefore desirable to a kind of can suppress image enhancing intensity in the case of scene is not the abundantest in real time.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, it is provided that a kind of side suppressing infrared image excessively to strengthen Method, the method can regulate the enhancing coefficient of image in real time, effectively limits original image and is excessively stretched in the image enhaucament stage; In the case of driftlessness or weak signal target, can effectively be suppressed situation about excessively strengthening by the method, make image show More natural.
It is an object of the invention to be achieved through the following technical solutions: a kind of side suppressing infrared image excessively to strengthen Method, it is characterised in that it comprises the steps:
S1: original image is carried out input statistics, average mean in statistics original image and variance var, analyzes it Distribution situation, to ensure the real-time that image calculates;
S2: set up average mean and var mathematical model, then calculate the dispersion degree of image according to this model;
S3: calculate the real time enhancing coefficient of image according to the dispersion degree of image;
S4: utilize the enhancing coefficient of image, infrared image is carried out real time enhancing.
Described average mean mathematical model computing formula is:Described var mathematical modulo Type computing formula is:Wherein xijFor image pixel value, m is picture traverse, and n is that image is long Degree, u is the image average obtained.
Described image dispersion calculation is:Wherein xdownBe in image by The pixel value of the little point accounting for all proportions 1.5% to big pixel accumulated value, xupIt is descending cumulative in image and is equal to The pixel value of the point of 1.5%.
The computing formula of described image real time enhancing coefficient is:Wherein, σ is figure image scale Accurate poor, Δ is dispersion degree.
The invention has the beneficial effects as follows: the invention provides a kind of method suppressing infrared image excessively to strengthen, in difference Scene under, the enhancing coefficient obtained is different, so can effectively utilize the dispersion degree of image to control image Enhancing degree, it is ensured that the display effect of image, it is possible to regulate the enhancing coefficient of image in real time, effectively limits original image at image The enhancing stage is excessively stretched;In the case of driftlessness or weak signal target, can effectively suppress excessively to increase by the method Strong situation, makes image show more natural.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the present invention;
Fig. 2 is the distribution of conventional histogram enhanced grey level histogram;
Fig. 3 is the graphic histogram distribution using the method for the present invention to reach.
Detailed description of the invention
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to The following stated.
As it is shown in figure 1, a kind of method suppressing infrared image excessively to strengthen, it is characterised in that it comprises the steps:
S1: original image is carried out input statistics, average mean in statistics original image and variance var, analyzes it Distribution situation, to ensure the real-time that image calculates;
S2: set up average mean and var mathematical model, then calculate the dispersion degree of image according to this model;
S3: calculate the real time enhancing coefficient of image according to the dispersion degree of image;
S4: utilize the enhancing coefficient of image, infrared image is carried out real time enhancing.
Described average mean mathematical model computing formula is:Described var mathematical modulo Type computing formula is:Wherein xijFor image pixel value, m is picture traverse, and n is that image is long Degree, u is the image average obtained.
Described image dispersion calculation is:Wherein xdownBe in image by The pixel value of the little point accounting for all proportions 1.5% to big pixel accumulated value, xupIt is descending cumulative in image and is equal to The pixel value of the point of 1.5%.Dispersion degree function shows the distribution situation of image in image histogram, and using in the present invention should Parameter controls image and excessively strengthens.
The computing formula of described image real time enhancing coefficient is:Wherein, σ is figure image scale Accurate poor, Δ is dispersion degree.
As it is shown on figure 3, use the method for the present invention to carry out image enhaucament, it is possible to regulate the enhancing coefficient of image in real time, have Effect limits original image and is excessively stretched in the image enhaucament stage.

Claims (4)

1. the method suppressing infrared image excessively to strengthen, it is characterised in that it comprises the steps:
S1: original image is carried out input statistics, average mean in statistics original image and variance var, analyzes its distribution Situation, to ensure the real-time that image calculates;
S2: set up average mean and var mathematical model, then calculate the dispersion degree of image according to this model;
S3: calculate the real time enhancing coefficient of image according to the dispersion degree of image;
S4: utilize the enhancing coefficient of image, infrared image is carried out real time enhancing.
A kind of method suppressing infrared image excessively to strengthen the most according to claim 1, it is characterised in that: described average Mean mathematical model computing formula is:Described var mathematical model computing formula is:Wherein xijFor image pixel value, m is picture traverse, and n is image length, and u is the figure obtained As average.
A kind of method suppressing infrared image excessively to strengthen the most according to claim 2, it is characterised in that: described image Dispersion calculation is:Wherein xdownIt is that pixel ascending in image tires out The pixel value of the value added point accounting for all proportions 1.5%, xupIt it is descending cumulative in image and the pixel of point equal to 1.5% Value.
A kind of method suppressing infrared image excessively to strengthen the most according to claim 2, it is characterised in that: described image The computing formula of real time enhancing coefficient is:Wherein, σ is that graphics standard is poor, and Δ is dispersion degree.
CN201610724217.6A 2016-08-25 2016-08-25 Method for inhibiting excessive enhancement of infrared image Active CN106228525B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610724217.6A CN106228525B (en) 2016-08-25 2016-08-25 Method for inhibiting excessive enhancement of infrared image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610724217.6A CN106228525B (en) 2016-08-25 2016-08-25 Method for inhibiting excessive enhancement of infrared image

Publications (2)

Publication Number Publication Date
CN106228525A true CN106228525A (en) 2016-12-14
CN106228525B CN106228525B (en) 2020-08-21

Family

ID=57554703

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610724217.6A Active CN106228525B (en) 2016-08-25 2016-08-25 Method for inhibiting excessive enhancement of infrared image

Country Status (1)

Country Link
CN (1) CN106228525B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101452575A (en) * 2008-12-12 2009-06-10 北京航空航天大学 Image self-adapting enhancement method based on neural net
CN102521813A (en) * 2011-11-21 2012-06-27 华中科技大学 Infrared image adaptive enhancement method based on dual-platform histogram
CN103208105A (en) * 2013-05-02 2013-07-17 中国电子科技集团公司第二十八研究所 Infrared image detail enhancement and noise adaptive inhibition method
US20140340515A1 (en) * 2013-05-14 2014-11-20 Panasonic Corporation Image processing method and system
US20160042500A1 (en) * 2014-08-05 2016-02-11 Seek Thermal, Inc. Local contrast adjustment for digital images

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101452575A (en) * 2008-12-12 2009-06-10 北京航空航天大学 Image self-adapting enhancement method based on neural net
CN102521813A (en) * 2011-11-21 2012-06-27 华中科技大学 Infrared image adaptive enhancement method based on dual-platform histogram
CN103208105A (en) * 2013-05-02 2013-07-17 中国电子科技集团公司第二十八研究所 Infrared image detail enhancement and noise adaptive inhibition method
US20140340515A1 (en) * 2013-05-14 2014-11-20 Panasonic Corporation Image processing method and system
US20160042500A1 (en) * 2014-08-05 2016-02-11 Seek Thermal, Inc. Local contrast adjustment for digital images

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
WU, CHENG-HO 等: "Superpixel-based image noise variance estimation with local statistical assessment", 《EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING》 *
塔西甫拉提·特依拜: "《绿洲遥感》", 30 September 2008 *
詹翔 等: "一种基于局部方差的雾天图像增强方法", 《计算机应用》 *
迟健男 等: "复合顺序形态变换在红外图像边缘检测中的应用", 《东北大学学报》 *

Also Published As

Publication number Publication date
CN106228525B (en) 2020-08-21

Similar Documents

Publication Publication Date Title
US10810705B2 (en) Video dehazing device and method
CN106296612B (en) A kind of stagewise monitor video sharpening system and method for image quality evaluation and weather conditions guidance
Huang et al. An advanced single-image visibility restoration algorithm for real-world hazy scenes
Xu et al. Removing rain and snow in a single image using guided filter
CN101729911B (en) Multi-view image color correction method based on visual perception
CN102750674B (en) Video image defogging method based on self-adapting allowance
Chung et al. A non-parametric blur measure based on edge analysis for image processing applications
CN101901473B (en) Self-adaptive defogging strengthening method of single-frame image
CN103460682B (en) Image processing apparatus and method
CN103020914B (en) Based on the rapid image defogging method capable of spatial continuity principle
Peng et al. Multi-algorithm fusion of RGB and HSV color spaces for image enhancement
CN104809700B (en) A kind of low-light (level) video real time enhancing method based on bright passage
CN104272347A (en) Image processing apparatus for removing haze contained in still image and method thereof
CN108133488A (en) A kind of infrared image foreground detection method and equipment
CN105335933A (en) Image contrast enhancement method and apparatus
Kumari et al. Single image fog removal using gamma transformation and median filtering
CN106296618A (en) A kind of color image defogging method based on Gaussian function weighted histogram regulation
CN108305225A (en) Traffic monitoring image rapid defogging method based on dark channel prior
CN108711160B (en) Target segmentation method based on HSI (high speed input/output) enhanced model
Prior Single image de-haze under non-uniform illumination using bright channel prior
CN102006462A (en) Rapid monitoring video enhancement method by using motion information and implementation device thereof
CN103313068A (en) White balance corrected image processing method and device based on gray edge constraint gray world
CN108550124B (en) Illumination compensation and image enhancement method based on bionic spiral
CN106228525A (en) A kind of method suppressing infrared image excessively to strengthen
CN111833270A (en) Rapid sand-dust degradation image enhancement method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant