CN106127704A - For reducing the real time enhancing method of infrared image edge fuzziness - Google Patents
For reducing the real time enhancing method of infrared image edge fuzziness Download PDFInfo
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- CN106127704A CN106127704A CN201610452917.4A CN201610452917A CN106127704A CN 106127704 A CN106127704 A CN 106127704A CN 201610452917 A CN201610452917 A CN 201610452917A CN 106127704 A CN106127704 A CN 106127704A
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 230000002708 enhancing effect Effects 0.000 title claims abstract description 18
- 238000011067 equilibration Methods 0.000 claims abstract description 13
- 238000013507 mapping Methods 0.000 claims abstract description 5
- 238000000605 extraction Methods 0.000 claims abstract description 4
- 230000009466 transformation Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 15
- 230000008569 process Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000010304 firing Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000001931 thermography Methods 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
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Abstract
The invention discloses a kind of real time enhancing method for reducing infrared image edge fuzziness, including: use image stretch algorithm that the valid pixel of infrared image is stretched to fixing effective range；Image equilibration threshold value is obtained by image characteristics extraction；The plateau equalization of infrared image is carried out to obtain image equilibration output table according to image equilibration threshold value；Input picture searches image mapping table to export enhanced image.The infrared image real time enhancing method that the present invention provides, is applied to image enhancement technique in infrared image processing, it is adaptable to the video Real-time enhancing technique of infrared image processing, has the advantages that video source modeling is effective, real-time is high.
Description
Technical field
The present invention relates to infrared image processing technical field, be specifically related to a kind of for reducing infrared image edge fuzziness
Real time enhancing method.
Background technology
IR imaging electronics assembly is the important component part of thermal imaging system, its bear give full play to infrared Jiao put down
Surface detector performance, by infrared focal plane detector export the signal of telecommunication be converted into video signal or other system through process
The function of prescribed form signal.IR imaging electronics assembly then includes hardware system and image processing algorithm two large divisions, by
The most perfect in Current hardware system platform, therefore infrared image processing technology becomes the important of electronics for imaging assembly and grinds
Study carefully content.
Prior art generally use frequency domain method and space domain method image is carried out enhancement process, clear to improve image
Degree.Frequency domain method is that image is regarded as a kind of 2D signal, it is carried out signal based on two-dimensional Fourier transform and strengthens, be
In certain transform domain of image, the transform coefficient values to image carries out certain correction, is the algorithm of a kind of indirect enhancing.Spatial domain
Method is that image gray levels directly does computing, and representative spatial-domain algorithm has local averaging method and median filtering method
Deng.
But, above two carries out the equal existing defects of method of enhancement process to image: frequency domain method is mainly used in individual
Image procossing, i.e. image processing software, if process video image there will be, processing speed is slow, efficiency is low, the feelings of poor real
Condition, is unfavorable for being integrated in picture processing chip；Space domain method there will be image detail information loss, image excessively strengthens, schemes
The situation of image intensifying poor effect.Above two image enchancing method, all and be not used for reality infrared image processing in.
Summary of the invention
To be solved by this invention is that existing image enchancing method processes video image and there will be that processing speed is slow, efficiency
Low, the problem of poor real.
The present invention is achieved through the following technical solutions:
A kind of real time enhancing method for reducing infrared image edge fuzziness, including: employing image stretch algorithm will
The valid pixel of infrared image is stretched to fixing effective range；Image equilibration threshold value is obtained by image characteristics extraction；According to
Image equilibration threshold value carries out the plateau equalization of infrared image to obtain image equilibration output table；Input picture is looked into
Look for image mapping table to export enhanced image.The infrared image real time enhancing method that the present invention provides, is suitable for wide dynamically model
The infrared image enclosed, owing to have employed image stretch based on statistics, it is ensured that the hundred of infrared image before image equilibration
/ nine ten effective above pixels can be stretched to setting regions, to ensure that image can be effectively addressed.Further, use
The method image enhaucament display real-time that the present invention provides is high, owing to image enhancement processing is based on infrared image processing chip
A kind of algorithm, the feature that the abundant combined with hardware of this algorithm calculates, reach the feature of image procossing zero-lag, it is ensured that image real-time
Property.
Optionally, described image stretch algorithm is that linear stretch algorithm, piecewise linear transform algorithm or gamma transformation are calculated
Method.
Optionally, described fixing effective range is 0 to 1023.
The present invention compared with prior art, has such advantages as and beneficial effect:
The real time enhancing method for reducing infrared image edge fuzziness that the present invention provides, should by image enhancement technique
In infrared image processing, it is adaptable to the video Real-time enhancing technique of infrared image processing, there is video source modeling effective, real
Time property high, is a kind of New Image treatment technology being applied to infrared image processing chip.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing being further appreciated by the embodiment of the present invention, constitutes of the application
Point, it is not intended that the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the flow process signal of the real time enhancing method for reducing infrared image edge fuzziness of the embodiment of the present invention
Figure.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing, to this
Invention is described in further detail, and the exemplary embodiment of the present invention and explanation thereof are only used for explaining the present invention, do not make
For limitation of the invention.
Embodiment
Fig. 1 is the flow process signal of the real time enhancing method for reducing infrared image edge fuzziness of the embodiment of the present invention
Figure, the described real time enhancing method for reducing infrared image edge fuzziness includes:
Step S11, uses image stretch algorithm that the valid pixel of infrared image is stretched to fixing effective range.Specifically
Ground, because the tonal range of gray level image is different in different scene hypograph data, and the scope exporting image is certain
, it is therefore desirable to input data are transformed to one admittedly by linear stretch, piecewise linear transform or gamma transformation scheduling algorithm
Fixed scope, such as 0 to 255 or 0 to 1023 etc..Image is so conducive to carry out at next step histogram equalization
Reason, similarly helps to hardware and realizes in transforming data to a fixing scope.
Step S12, obtains image equilibration threshold value by image characteristics extraction.Specifically, equalization threshold value can be with local
Maximum value process obtains, and the most first obtains the grey level histogram of original image, then according to local maximum principle, obtains intensity histogram
All of local maximum in figure, then seeks its average, obtains image equilibration threshold value.
Step S13, carries out the plateau equalization of infrared image according to image equilibration threshold value equal to obtain image
Weighing apparatusization output table.Specifically, infrared image grey level histogram will exceed the gray value of threshold value according to the equalization threshold value of image
Within being limited in threshold value, this reduces the ratio shared by a fairly large number of gray value such that it is able to allow the gray scale of image divide
Cloth is more uniform so that contrast is strengthened.After processing eventually through plateau equalizationization, obtain rectangular histogram output and reflect
Firing table.
Step S14, input picture searches image mapping table to export enhanced image.Specifically, the rectangular histogram of output
Mapping table and the view data one_to_one corresponding after step S11, each is through the infrared picture data of step S11 conversion,
In the reflection of graphics table, find the value of corresponding output, thus obtain exporting view data.
Above-described detailed description of the invention, has been carried out the purpose of the present invention, technical scheme and beneficial effect further
Describe in detail, be it should be understood that the detailed description of the invention that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, all within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. done, all should comprise
Within protection scope of the present invention.
Claims (4)
1. the real time enhancing method being used for reducing infrared image edge fuzziness, it is characterised in that including:
Use image stretch algorithm that the valid pixel of infrared image is stretched to fixing effective range；
Image equilibration threshold value is obtained by image characteristics extraction；
The plateau equalization of infrared image is carried out to obtain image equilibration output table according to image equilibration threshold value；
Input picture searches image mapping table to export enhanced image.
Real time enhancing method for reducing infrared image edge fuzziness the most according to claim 1, it is characterised in that
Described image stretch algorithm is linear stretch algorithm, piecewise linear transform algorithm or gamma transformation algorithm.
Real time enhancing method for reducing infrared image edge fuzziness the most according to claim 1, it is characterised in that
Described fixing effective range is 0 to 1023.
Real time enhancing method for reducing infrared image edge fuzziness the most according to claim 1, it is characterised in that
Described fixing effective range is 0 to 255.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610452917.4A CN106127704A (en) | 2016-06-22 | 2016-06-22 | For reducing the real time enhancing method of infrared image edge fuzziness |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610452917.4A CN106127704A (en) | 2016-06-22 | 2016-06-22 | For reducing the real time enhancing method of infrared image edge fuzziness |
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| Publication Number | Publication Date |
|---|---|
| CN106127704A true CN106127704A (en) | 2016-11-16 |
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| CN201610452917.4A Withdrawn CN106127704A (en) | 2016-06-22 | 2016-06-22 | For reducing the real time enhancing method of infrared image edge fuzziness |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330864A (en) * | 2017-06-05 | 2017-11-07 | 中国电子科技集团公司第二十八研究所 | A kind of Infrared Image Processing Method based on improvement Local textural feature |
| CN110400274A (en) * | 2019-07-19 | 2019-11-01 | 西安科技大学 | A kind of vehicle mounted infrared pedestrian detection infrared image enhancing method |
| US12086968B2 (en) | 2018-11-21 | 2024-09-10 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for image processing |
-
2016
- 2016-06-22 CN CN201610452917.4A patent/CN106127704A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330864A (en) * | 2017-06-05 | 2017-11-07 | 中国电子科技集团公司第二十八研究所 | A kind of Infrared Image Processing Method based on improvement Local textural feature |
| CN107330864B (en) * | 2017-06-05 | 2019-08-02 | 中国电子科技集团公司第二十八研究所 | A kind of Infrared Image Processing Method based on improvement Local textural feature |
| US12086968B2 (en) | 2018-11-21 | 2024-09-10 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for image processing |
| CN110400274A (en) * | 2019-07-19 | 2019-11-01 | 西安科技大学 | A kind of vehicle mounted infrared pedestrian detection infrared image enhancing method |
| CN110400274B (en) * | 2019-07-19 | 2022-02-15 | 西安科技大学 | Infrared image enhancement method for vehicle-mounted infrared pedestrian detection |
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Application publication date: 20161116 |