CN110213460A - A kind of prospect scattering removing method based on inverse locking phase spatial modulation - Google Patents
A kind of prospect scattering removing method based on inverse locking phase spatial modulation Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 239000003086 colorant Substances 0.000 claims abstract description 7
- 238000003491 array Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 abstract description 3
- 238000003672 processing method Methods 0.000 abstract description 2
- 230000004438 eyesight Effects 0.000 description 11
- 230000005540 biological transmission Effects 0.000 description 2
- 230000004087 circulation Effects 0.000 description 2
- 230000004456 color vision Effects 0.000 description 2
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- 238000005516 engineering process Methods 0.000 description 2
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- 206010039203 Road traffic accident Diseases 0.000 description 1
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- 210000004556 brain Anatomy 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
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Abstract
The invention discloses a kind of, and the prospect based on inverse locking phase spatial modulation scatters removing method, including S1, calculates the totalframes N of the video of acquisition;A=1, i=1, j=0 are set;I-th frame image of video is converted into three two-dimensional array R according to RGB three primary colors by S2 respectivelyj、GjAnd Bj, and i=i+1 is enabled, j=j+1;S3 judges j >=k;If so, S4 is thened follow the steps, if it is not, S2 is thened follow the steps, k >=1;S4, by all two-dimensional array RjProgress and operation, obtain new two-dimensional array X;The present invention carries out preliminary conversion to the frame image of collected video first, then the foreground part of the high-frequency signal in video and the background parts of low frequency signal are split, and prospect is eliminated by image processing method, leave the background of needs, the scattering of realization prospect is eliminated, and vehicle security drive is used for.
Description
Technical field
The present invention relates to eliminate prospect scattering technology field, and in particular to a kind of prospect based on inverse locking phase spatial modulation is scattered
Penetrate removing method.
Background technique
Intact eyesight is that we keep a very basic quality of normal life.The most of defects of vision all may be used
With c gl, such as near-sighted ophthalmically acceptable concave mirror, the ophthalmically acceptable convex mirror correction of long sight, the dazzle of polariscope reflection can be by making
Influence is cut down with polarization filtering piece.Good eyesight also has relationship with light simultaneously, the eyesight of the mankind under sufficient light
It can be more preferable.Under normal circumstances, the sensitivity of color is absorbed by different images position in processing brain, the colour vision of the mankind, which incudes, to be needed
Object could excite the color receptor of three kinds of sending particular color signals in human eye under the irradiation of white light.These cone cells
In receptor susceptibility it is lower therefore very inactive in the case where low illumination, and in black and white without then making in the vision of colour vision
With more sensitive rod cell.So " color " of these reflections physically there will naturally be under conditions of low light, but
The night observation device internal element such as electro-optical image booster etc. that we use, due to electric light fluorescent powder emission characteristics we only
It can see the image of black and white, the actually image of black and green.However before amplification by different light according to wavelength into
The enhancing image of coloud coding, is then added on normal color image and is obtained with night vision effect, in this way by row separation
Process the method for Digital Image Processing can be used also to realize.It is (usually big also to will receive optical transmission medium for vision simultaneously
Gas) characteristic influence, although there is no molecule absorption phenomenon in the SPECTRAL REGION (400-700nm) of human vision, by
The scattering that will receive smog in transmission process influences, and then influences our observation.Remedying for being militarily commonly used is done
Method is observed using infrared band, but since these processes have very strong wave band dependence, in infrared band Michaelis
Another reason for scattering and the effect of Rayleigh scattering be not so obvious, while vision is obstructed is that nearby physical structure is semi-transparent
The scattering of bright layer is so that the comparison or isolation of remote object become extremely difficult.
In low temperature, snowfall, under the bad weathers such as haze, road conditions and visibility are lower, increase traffic safety hidden danger, Yi Fasheng
Traffic accident.Main cause is that in inclement weather, snowflake and fog on windshield can generate the vision of driver dry
Disturb, while the scattering of windshield is so that the vehicle and pedestrian of road all becomes blurred, i.e., daily driver when driving all
It is that thing is seen by dirty or frosting windshield.When more common situation is night driving, the vision of driver is even
The light that you will receive the automobile head-on to come influences, and the light of distant place is observed by the strong scattering window with structure feature, comes
The light of distant place is dominated completely from the light of near objects, so that driver can not see the pedestrian on road and the object in roadside clearly.And
The means that we take generally for this phenomenon have using efficient rain brush by above windshield fog and droplet etc. sweep
It goes, or pad pasting prevents from sundries from staying in influencing vision on glass on the windshield, but comes from the experience of our real lifes
Seeing this is not every time can be satisfactory, especially in the case where sunlight or opposite make the car headlamp reflection of light come I
Can not still see pedestrian or the object in roadside of road clearly.Therefore, the interior urgent need of industry, which researches and develops one kind, can be used under bad weather
The prospect scattering removing measures or system of vehicle security drive.
Summary of the invention
The purpose of the invention is to overcome above the shortcomings of the prior art, provide a kind of based on inverse locking phase space
The prospect of modulation scatters removing method.
The purpose of the present invention is realized by the following technical solution:
A kind of prospect scattering removing method based on inverse locking phase spatial modulation, comprising:
S1 calculates the totalframes N of the video of acquisition;A=1, i=1, j=0 are set;
I-th frame image of video is converted into three two-dimensional array R according to RGB three primary colors by S2 respectivelyj、GjAnd Bj, and enable i
=i+1, j=j+1;
S3 judges j >=k;If so, S4 is thened follow the steps, if it is not, S2 is thened follow the steps, k >=1;
S4, by all two-dimensional array RjProgress and operation, obtain new two-dimensional array X;By all two-dimensional array GjInto
Capable and operation, obtains new two-dimensional array Y;By all two-dimensional array BjProgress and operation, obtain new two-dimensional array Y;
Tri- arrays of XYZ are converted into picture according to the trichromatic sequence of RGB and shown again by S5;
S6 judges a+k >=N, if it is not, then enabling a=a+1, i=a, and executes step S2, if so, terminating.
Preferably, k=10.
The present invention has the advantage that compared with the existing technology
This programme carries out preliminary conversion to the frame image of collected video first, then the high-frequency signal in video
Foreground part and the background parts of low frequency signal split, and prospect is eliminated by image processing method, leaving needs
The background wanted, the prospect scattering of realization are eliminated, and vehicle security drive is used for.The method is simple, easy to accomplish.
Detailed description of the invention
Fig. 1 is the flow diagram of the prospect scattering removing method of the invention based on inverse locking phase spatial modulation.
Specific embodiment
Present invention will be further explained below with reference to the attached drawings and examples.
Removing method is scattered referring to Fig. 1, a kind of prospect based on inverse locking phase spatial modulation, comprising:
S1 calculates the totalframes N of the video of acquisition;A=1, i=1, j=0 are set;
It should be noted that inverse locking phase spatial modulation is two aspects, locking phase is an extraction high-frequency signal first
Then method extracts inside modulated signal with regard to the semaphore lock of a certain specific frequency, in the present solution, background information is
Low frequency signal and foreground information is high-frequency signal, be namely based on such principle, the low frequency signal of background retained in turn
Carry out and remove the high-frequency signal of prospect, referred to as against locking phase, spatial modulation refers to that the signal of processing is two-dimensional space image information.
I-th frame image of video is converted into three two-dimensional array R according to RGB three primary colors by S2 respectivelyj、GjAnd Bj, and enable i
=i+1, j=j+1;Each image pixel can be divided into three kinds of basic colors: (blue is blue by R (red is red) G (green green) and B
Color).Each basic colors can be exchanged into 32 signless integers, as a two-dimensional array.The step is used for image
Data carry out preliminary conversion.
S3 judges j >=k;If so, S4 is thened follow the steps, if it is not, S2 is thened follow the steps, k >=1;
S4, by all two-dimensional array RjProgress and operation, obtain new two-dimensional array X;By all two-dimensional array GjInto
Capable and operation, obtains new two-dimensional array Y;By all two-dimensional array BjProgress and operation, obtain new two-dimensional array Y;Turn
Alternatively all two-dimensional array R afterwardsjIt is the same size, according to the progress of corresponding position and operation, such as first array
The first row first row with regard to only with other arrays the first row first row carry out operation.The step is for taking out foreground information
High-frequency signal retains the low frequency signal of background information.
Tri- arrays of XYZ are converted into picture according to the trichromatic sequence of RGB and shown again by S5;
It should be noted that because color is mainly former by R (red is red) G (green green) and B (blue blue) three
Each pixel at being converted into three arrays when being converted into array, respectively correspond three colors and be stored in three by colour cell
Array, so being also required to the sequence corresponding reduction pixel according to RGB when last reduction.
S6 judges a+k >=N, if it is not, then and enabling a=a+1, i=a, and executes step S2, if so, terminating.
In the present embodiment, k=10.
In the present embodiment, S2-S3 forms a partial circulating, and S2-S6 forms a systemic circulation, is nested in partial circulating and follows greatly
In ring, in partial circulating, circulation is executed step S2 ten times for the first time, converts the 1st, 2,3,4,5,6,7,8,9,10 this 10 frame respectively
Then image executes step S4, S5, S6, complete a systemic circulation in this way.Entering partial circulating, second of circulation converts the 2nd,
3,4,5,6,7,8,9,10,11 this 10 frame image, and so on.Until a+10 >=N, then by all images of video by prospect
It eliminates, leaves the background of our needs, realize that so-called prospect scattering is eliminated.
Above-mentioned specific embodiment is the preferred embodiment of the present invention, can not be limited the invention, and others are appointed
The change or other equivalent substitute modes what is made without departing from technical solution of the present invention, are included in protection of the invention
Within the scope of.
Claims (2)
1. a kind of prospect based on inverse locking phase spatial modulation scatters removing method characterized by comprising
S1 calculates the totalframes N of the video of acquisition;A=1, i=1, j=0 are set;
I-th frame image of video is converted into three two-dimensional array R according to RGB three primary colors by S2 respectivelyj、GjAnd Bj, and enable i=i+
1, j=j+1;
S3 judges j >=k;If so, S4 is thened follow the steps, if it is not, S2 is thened follow the steps, k >=1;
S4, by all two-dimensional array RjProgress and operation, obtain new two-dimensional array X;By all two-dimensional array GjCarry out with
Operation obtains new two-dimensional array Y;By all two-dimensional array BjProgress and operation, obtain new two-dimensional array Y;
Tri- arrays of XYZ are converted into picture according to the trichromatic sequence of RGB and shown again by S5;
S6 judges a+k >=N, if it is not, then enabling a=a+1, i=a, and executes step S2, if so, terminating.
2. the prospect according to claim 1 based on inverse locking phase spatial modulation scatters removing method, which is characterized in that k=
10。
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102103751A (en) * | 2009-12-18 | 2011-06-22 | 华为技术有限公司 | Foreground image extraction method and device |
US20120183216A1 (en) * | 2007-09-07 | 2012-07-19 | CVISION Technologies, Inc. | Perceptually lossless color compression |
CN103050008A (en) * | 2013-01-14 | 2013-04-17 | 哈尔滨工程大学 | Method for detecting vehicles in night complex traffic videos |
CN104966266A (en) * | 2015-06-04 | 2015-10-07 | 福建天晴数码有限公司 | Method and system to automatically blur body part |
CN106339664A (en) * | 2016-08-10 | 2017-01-18 | 杭州电子科技大学 | Color mixing model and multi-feature combination-based video smoke detection method |
CN107220949A (en) * | 2017-05-27 | 2017-09-29 | 安徽大学 | The self adaptive elimination method of moving vehicle shade in highway monitoring video |
CN107886502A (en) * | 2017-10-24 | 2018-04-06 | 天津大学 | The shadow Detection and removal algorithm of color and gradient synthesis under a kind of complex environment |
CN109255326A (en) * | 2018-09-07 | 2019-01-22 | 华南理工大学 | A kind of traffic scene smog intelligent detecting method based on multidimensional information Fusion Features |
-
2019
- 2019-06-24 CN CN201910546779.XA patent/CN110213460A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120183216A1 (en) * | 2007-09-07 | 2012-07-19 | CVISION Technologies, Inc. | Perceptually lossless color compression |
CN102103751A (en) * | 2009-12-18 | 2011-06-22 | 华为技术有限公司 | Foreground image extraction method and device |
CN103050008A (en) * | 2013-01-14 | 2013-04-17 | 哈尔滨工程大学 | Method for detecting vehicles in night complex traffic videos |
CN104966266A (en) * | 2015-06-04 | 2015-10-07 | 福建天晴数码有限公司 | Method and system to automatically blur body part |
CN106339664A (en) * | 2016-08-10 | 2017-01-18 | 杭州电子科技大学 | Color mixing model and multi-feature combination-based video smoke detection method |
CN107220949A (en) * | 2017-05-27 | 2017-09-29 | 安徽大学 | The self adaptive elimination method of moving vehicle shade in highway monitoring video |
CN107886502A (en) * | 2017-10-24 | 2018-04-06 | 天津大学 | The shadow Detection and removal algorithm of color and gradient synthesis under a kind of complex environment |
CN109255326A (en) * | 2018-09-07 | 2019-01-22 | 华南理工大学 | A kind of traffic scene smog intelligent detecting method based on multidimensional information Fusion Features |
Non-Patent Citations (1)
Title |
---|
李建波: "《视频监控中运动目标检测算法的研究》", 《中国优秀硕士学位论文全文数据库》 * |
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