CN108337444A - The extraction system and method for invisible video image under high brightness and dark lightness environment - Google Patents
The extraction system and method for invisible video image under high brightness and dark lightness environment Download PDFInfo
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- CN108337444A CN108337444A CN201810115653.2A CN201810115653A CN108337444A CN 108337444 A CN108337444 A CN 108337444A CN 201810115653 A CN201810115653 A CN 201810115653A CN 108337444 A CN108337444 A CN 108337444A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The extract real-time system of invisible video image under high brightness and dark lightness environment, including feature extraction and control signal generator, positive-feedback circuit, negative-feedback circuit, reactive matching circuit and controllable operational amplifier.By carrying out feature extraction to vision signal, vision signal is divided into high brightness vision signal, dark luminance video signal and normal brightness vision signal；When if high brightness vision signal, amplify normal brightness vision signal below；When if dark luminance video signal, amplify dark brightness vision signal below.In this way, the sightless target image extract real-time in a piece of white light can be will drown out out without influencing other visible target video images, the target video image extract real-time that can also be will drown out under half-light comes out, without influencing other visible target video images, influence of the brightness to video image is eliminated.
Description
Technical field
The present invention relates to technical field of image processing, and in particular to invisible video under a kind of high brightness and dark lightness environment
The extract real-time system and method for image.
Background technology
Video image includes luminance information and color information, and for other side, video image includes target image
And ambient image.Target image is the image of video image capture of interest, and target image is a luminance information and color letter
What is ceased is compound, and target image is in ambient image, and reflection of the target image in video image can be by ambient image brightness
The influence of information.
The acquisition of video image can be had an impact with dark lightness environment under high-brightness environment.It is with video monitoring system
Example, when monitored target is in the environment of high brightness, its video image is submerged in a piece of due to the brightness of environment is excessively high
In white light；And target is when being in dark environment, due to brightness is submerged in the dark compared with the partial content of low target or target
It is difficult to observe.High brightness or the environment of dark brightness can all cause video image to be submerged, and lose the video image for being monitored target,
Reduce the effect of video monitoring system.Once case occurs, it can not investigate or track down after crime.
For the above problem, in the prior art, the method for generally use is, after obtaining video image, using technology hand
Section is to Computer Vision, to restore target image.This method has the following disadvantages：Processing mode causes it to obtain target figure
The result of picture more lags, therefore, this for the stronger field of some requirement of real-time (such as monitoring field in real time)
Method cannot react in time, can only be handled one by one video image again afterwards, search suspicious object, not only workload
Greatly, and security risk is big.
In the prior art, still video image can be handled in real time without one kind, and restores target in video image
The method of image information.
Invention content
The purpose of the present invention is to provide a kind of extract real-times of invisible video image under high brightness and dark lightness environment
System and method.
In order to achieve the goal above, the present invention provides following technical scheme：
The extract real-time system of invisible video image under high brightness and dark lightness environment, it is bright for being carried out to video image
Degree processing, including：
Feature extraction and control signal generator：Its input terminal accesses video image, including is used to be believed according to video image
Number peak-to-peak value, to the feature extraction unit that video signal is classified, and, according to feature extraction unit output signal
Form the control signal generation unit of control signal；
Positive-feedback circuit：Its input terminal is connect with feature extraction with the output end of control signal generator；
Negative-feedback circuit：Its input terminal is connect with feature extraction with the output end of control signal generator；
Reactive matching circuit：Its input terminal is connect with the output end of positive-feedback circuit and negative-feedback circuit, output end with
Controllable operational amplifier connection；
Controllable operational amplifier：Its input terminal accesses the output end signal of video image and reactive matching circuit.
As preferred：The extract real-time system further comprises the front end circuit for being handled video image,
The output end of front end circuit includes two paths of signals, is respectively connected to feature extraction and control signal generator and controllable operation amplifier
Device.
As preferred：The input terminal of controllable operational amplifier is further connect with positive-feedback circuit and negative-feedback circuit.
As preferred：The control signal of controllable operational amplifier further with feature extraction and control signal generator
Output end connects.
As preferred：The extract real-time system further comprise control adjustment unit, including manual adaptation unit and from
Dynamic adjustment unit, the manual adaptation unit are directly connect with the amplification quantity control terminal of controllable operational amplifier；Adjust automatically list
The input terminal of member is connect with the output end of controllable operational amplifier, and the amplification quantity control terminal of output end and controllable operational amplifier connects
It connects.
The real time extracting method of invisible video image under high brightness and dark lightness environment, using above-mentioned extract real-time system
System, includes the following steps：
To vision signal carry out feature extraction, by vision signal be divided into high brightness vision signal, dark luminance video signal and
Normal brightness vision signal；
When if high brightness vision signal, amplify normal brightness vision signal below；
When if dark luminance video signal, amplify dark brightness vision signal below.
As preferred：The method for carrying out feature extraction to vision signal is to set high brightness peak-to-peak value boundary value, dark brightness
Peak-to-peak value boundary value, normal brightness peak-to-peak value boundary value；
When for high brightness vision signal, amplification peak-to-peak value is less than the vision signal of normal brightness peak-to-peak value boundary value；
When for dark luminance video signal, amplification peak-to-peak value is less than the vision signal of dark luminance peaks peak boundary.
As preferred：When for high brightness vision signal, putting for video image is controlled using the control method of negative-feedback
Greatly；When for dark luminance video signal, the amplification of video image is controlled using the control method of positive feedback.
Beneficial effects of the present invention are：
The present invention uses the technical solution of real-time video processing, can will drown out in a piece of white light (high brightness ring
Under border) sightless target image extract real-time out without influencing other visible target video images, can also will flood
Target video image extract real-time not under half-light comes out, without influencing other visible target video images.To be supervised
Depending on all targets video image can enter video monitoring system in, make the video monitoring system effect of bringing into normal play.
Method of video image processing provided by the present invention is a kind of real-time processing method, it can be achieved that video image acquisition
The synchronization process before output is arrived afterwards, is that can be applied to supervise the stronger field of requirement of real-time, such as building into going out
Control, automobile data recorder monitoring, monitoring etc. of fighting are a kind of video image processing system efficient in time and processing mode method.
Description of the drawings
Fig. 1 is the extract real-time system structure diagram of invisible video image under high brightness and dark lightness environment；
Fig. 2 is the real time extracting method flow chart of invisible video image under high brightness and dark lightness environment.
Specific implementation mode
The specific implementation mode of the present invention is clearly fully described by below with reference to attached drawing.Obviously, it is embodied
Mode described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, the every other embodiment that those of ordinary skill in the art are obtained without making creative work,
Belong to protection scope of the present invention.
In the description of the present invention, it should be noted that term " first ", is used for description purposes only " second ", and cannot
It is interpreted as indicating or implying relative importance.
The present invention provides a kind of extract real-time systems of invisible video image under high brightness and dark lightness environment, this is
System can be mounted in video monitoring system, real-time luminosity signal processing be carried out to the video image of acquisition, to obtain target figure
Picture.
The extract real-time system of invisible video image under high brightness and dark lightness environment, it is bright for being carried out to video image
Degree processing, will be described the composition of extract real-time system below.
With reference to figure 1, extract real-time system includes：Front end circuit, feature extraction and control signal generator, positive and negative feed
Road, negative-feedback circuit, reactive matching circuit and controllable operational amplifier.
Front end circuit, front end circuit are mainly used for carrying out shaping and enhanced processing, video acquisition to pending vision signal
Video image real-time delivery after device acquisition is subsequently located to the input terminal of front end circuit after being handled through front end circuit again
Reason.The output end of front end circuit includes two paths of signals, is respectively connected to feature extraction and is put with control signal generator and controllable operation
Big device.
Feature extraction accesses pending video image, specifically includes for root with control signal generator, input terminal
According to the peak-to-peak value of video signal, to the feature extraction unit that video signal is classified, and, according to feature extraction
Element output signal forms the control signal generation unit of control signal.Specifically, their effect is to judge video image
The brightness of signal, and video signal is divided by high-brightness environment video image, dark lightness environment video figure according to brightness value
Picture and normal brightness ambient video image.Here the differentiation standard of three kinds of lightness environments in the present embodiment is first described.It is highlighted
The standard of degree environment is that the ambient brightness of video monitoring system is 12000lux or more；The standard of dark lightness environment is that environment is bright
Degree is 100lux and following；The standard of normal brightness is that ambient brightness is 100lux~12000lux.Feature extraction unit is to regarding
The peak-to-peak value of frequency picture signal is judged, when peak-to-peak value is higher than 1.2Vp-pWhen, judge video image for high-brightness environment, signal
Production unit will export a low level；When peak-to-peak value is less than 0.7Vp-pWhen, video image is judged for dark lightness environment, and signal is given birth to
Production unit will export a high level；When peak-to-peak value is in 1Vp-p±0.1Vp-pWhen, video image is judged for normal brightness environment, is believed
The output of number production unit is high resistant, does not form high and low level.In order to may be implemented above functions, feature extraction unit can be with
Using as follows, including a peak-to-peak value comparison circuit and an electrical level output circuit；This is easy to implement in the prior art
, details are not described herein again.Furthermore, it is necessary to explanation, about high brightness, the criteria for classification of dark brightness and normal brightness, not
Fixed standard can select peak-to-peak value as needed in actual use, the criteria for classification as three kinds of lightness environments.
Positive-feedback circuit：It is connect with feature extraction with the output end of control signal generator.
Negative-feedback circuit：It is connect with feature extraction with the output end of control signal generator.
Positive-negative feedback circuit is made of switching circuit with corresponding RC network.
Reactive matching circuit：Its input terminal is connect with the output end of positive-feedback circuit and negative-feedback circuit, output end with
Controllable operational amplifier connection.
Controllable operational amplifier：Its input terminal accesses the output end signal of video image and reactive matching circuit.
Specifically, reactive matching circuit is arranged for impedance matching, and effect is feedback network being transmitted to
When controllable opamp input terminal, impedance matching is realized.Positive-feedback circuit can controlled signal generator output high level
Conducting, when feature extraction exports high level with control signal generator, reactive matching circuit connect positive-feedback circuit with it is controllable
Connection between operational amplifier carries out positive feed-back operation through reactive matching circuit.Negative-feedback circuit can controlled signal generator
The low level signal of output is connected；Specifically, when feature extraction exports low level with control signal generator, feedback matching
Circuit connects the connection between negative-feedback circuit and controllable operational amplifier, and negative-feedback operation is carried out through reactive matching circuit.And work as
A high-impedance state is presented with control shaping unit in feature extraction, and positive-negative feedback is disconnected.
Above this feedback when having essentially completed high-brightness environment, reduces controllable operational amplifier
Amplification quantity when dark lightness environment, increases the amplification quantity of controllable operational amplifier.
Further, in order to which more precise control effect may be implemented, the input terminal of controllable operational amplifier is further
It is connect with positive-feedback circuit and negative-feedback circuit.The input terminal of controllable operational amplifier further with feature extraction and control signal
The output end of generator connects, that is, the low and high level signal that feature extraction is formed with control shaping unit is further fed back to
Operational amplifier controls a reference index of signal as controllable operational amplifier.Work as feedback circuitControllable operation is controlled to put Big deviceWhen image zooming-out value is not achieved, controllable operational amplifier is further controlled using feature extraction and control shaping unit
Amplification range, to reach image zooming-out value.
Further, controllable operational amplifier is controlled in order to realize, extract real-time system is further wrapped
Control adjustment unit is included, there are two types of adjustment modes for control adjustment unit tool, respectively manually adjust pattern and self-regulation mode.
It includes manual adaptation unit and adjust automatically unit to control adjustment unit.Wherein, manual adaptation unit is directly put with controllable operation
The amplification quantity control terminal connection of big device, manually controls the work of controllable operational amplifier according to demand；Adjust automatically unit passes through
The work of the controllable operational amplifier of form control of control signal is calculated, the output end of input terminal and controllable operational amplifier connects
It connects, receives the feedback signal of controllable operational amplifier output, the peak-to-peak value of output video image is detected, and according to signal
It calculates and generates control signal, the automatic voltage adjustment of controllable op-amp DC operating point is formed, through automatic control unit
Output end is output to the amplification quantity control terminal of controllable operational amplifier.And then it can reach and control stable extraction depth and to regarding
The peak-to-peak value of frequency signal output is controlled, and the peak-to-peak value of output signal is made to be maintained at 1Vp-p±0.1Vp-pBetween, that is, form mark
The vision signal of quasi- lightness environment.
It, can be to regarding using the extract real-time of invisible video image under high brightness provided by the invention and dark lightness environment
The video image of frequency harvester acquisition is handled in real time, eliminates the influence of high brightness and dark lightness environment to target image.
It is applied to field of video monitoring, object can be accurately reflected, so as to the impairment that finds and eliminate danger in time.
Based on above-mentioned extract real-time system, the present invention further provides invisible videos under high brightness and dark lightness environment
The real time extracting method of image.
This method mainly includes the following steps that：
To vision signal carry out feature extraction, by vision signal be divided into high brightness vision signal, dark luminance video signal and
Normal brightness vision signal；
When if high brightness vision signal, amplify normal brightness vision signal below；
When if dark luminance video signal, amplify dark brightness vision signal below.
Specifically, the amplification of the feature extraction and vision signal of vision signal is carried out using following method.
Set high brightness peak-to-peak value boundary value, dark luminance peaks peak boundary, normal brightness peak-to-peak value boundary value；For example,
In the present embodiment, it is 1.2V to take high brightness peak-to-peak value boundary valuep-p, dark luminance peaks peak boundary is 0.7Vp-p, normal brightness peak
Peak boundary is 1Vp-p.When video image peak-to-peak value is higher than 1.2Vp-pWhen, image is judged to answer high-brightness environment；When video figure
As peak-to-peak value is less than 0.7Vp-pWhen, judge video image for dark lightness environment；When peak-to-peak value is in 1Vp-p±0.1Vp-pWhen, judge to regard
Frequency image is normal brightness environment.
When for high brightness vision signal, amplification peak-to-peak value is less than normal brightness peak-to-peak value boundary value (1Vp-p) video letter
Number, that is, in high-brightness environment, amplification normal brightness value with the image of lower part, what this parts of images was most likely blanked
Target image.
When for dark luminance video signal, amplification peak-to-peak value is less than dark luminance peaks peak boundary (0.7Vp-p) video letter
Number, that is, in dark lightness environment, high brightness or normal brightness parts of images will present, and should amplify dark brightness value with lower part
The image divided, the target image that this parts of images is most likely blanked.
More specifically, when for high brightness vision signal, video image is controlled using the control method of negative-feedback
Amplification；When for dark luminance video signal, the amplification of video image is controlled using the control method of positive feedback.This controlling party
Method when can complete high-brightness environment, reduces the amplification quantity of high brightness video image, when dark lightness environment, increases dark bright
The amplification quantity of the following video image of angle value.
Controllable operational amplifier may be used in the amplification of video image, and the method adjustment that can manually or automatically control can
Control the amplification index of operational amplifier.Video extraction method using the present invention, can effectively extract high brightness and dark brightness regards
Target image in frequency image eliminates influence of the environment bright to video image.
Claims (8)
1. the extract real-time system of invisible video image under high brightness and dark lightness environment, for carrying out brightness to video image
Processing, which is characterized in that including：
Feature extraction and control signal generator：Its input terminal accesses video image, includes for according to video signal
Peak-to-peak value, to the feature extraction unit that video signal is classified, and, the letter for being exported according to feature extraction unit
The control signal generation unit of number outputs level signals；
Positive-feedback circuit：Its input terminal is connect with feature extraction with the output end of control signal generator；
Negative-feedback circuit：Its input terminal is connect with feature extraction with the output end of control signal generator；
Reactive matching circuit：Its input terminal is connect with the output end of positive-feedback circuit and negative-feedback circuit, output end with it is controllable
Operational amplifier connects；
Controllable operational amplifier：Its input terminal accesses the output end signal of video image and reactive matching circuit.
2. the extract real-time system of invisible video image under high brightness as described in claim 1 and dark lightness environment, special
Sign is that the extract real-time system further comprises the front end circuit for being handled video image, front end circuit
Output end includes two paths of signals, is respectively connected to feature extraction and control signal generator and controllable operational amplifier.
3. the extract real-time system of invisible video image under high brightness as described in claim 1 and dark lightness environment, special
Sign is that the input terminal of controllable operational amplifier is further connect with positive-feedback circuit and negative-feedback circuit.
4. the extract real-time system of invisible video image under high brightness as described in claim 1 and dark lightness environment, special
Sign is that the control signal of controllable operational amplifier further connects with feature extraction and the output end of control signal generator
It connects.
5. the extract real-time system of invisible video image under high brightness as described in claim 1 and dark lightness environment, special
Sign is that the extract real-time system further comprises controlling adjustment unit, including manual adaptation unit and adjust automatically unit,
The manual adaptation unit is directly connect with the amplification quantity control terminal of controllable operational amplifier；The input terminal of adjust automatically unit with
The output end connection of controllable operational amplifier, output end are connect with the amplification quantity control terminal of controllable operational amplifier.
6. the real time extracting method of invisible video image, is wanted using claim 1 to right under high brightness and dark lightness environment
Seek the extract real-time system described in any one of 5, which is characterized in that include the following steps：
Feature extraction is carried out to vision signal, vision signal is divided into high brightness vision signal, dark luminance video signal and standard
Luminance video signal；
When if high brightness vision signal, amplify normal brightness value vision signal below；
When if dark luminance video signal, amplify dark brightness value vision signal below.
7. the real time extracting method of invisible video image under high brightness as claimed in claim 6 and dark lightness environment, special
Sign is that the method for carrying out feature extraction to vision signal is to set high brightness peak-to-peak value boundary value, dark luminance peaks peak boundary
Value, normal brightness peak-to-peak value boundary value；
When for high brightness vision signal, amplification peak-to-peak value is less than the vision signal of normal brightness peak-to-peak value boundary value；
When for dark luminance video signal, amplification peak-to-peak value is less than the vision signal of dark luminance peaks peak boundary.
8. the real time extracting method of invisible video image under high brightness as claimed in claims 6 or 7 and dark lightness environment,
It is characterized in that, includes the following steps：When for high brightness vision signal, video image is controlled using the control method of negative-feedback
Amplification；When for dark luminance video signal, the amplification of video image is controlled using the control method of positive feedback.
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