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 PDF

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Publication number
CN110213460A
CN110213460A CN201910546779.XA CN201910546779A CN110213460A CN 110213460 A CN110213460 A CN 110213460A CN 201910546779 A CN201910546779 A CN 201910546779A CN 110213460 A CN110213460 A CN 110213460A
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China
Prior art keywords
dimensional array
prospect
video
locking phase
spatial modulation
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CN201910546779.XA
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林跃裕
苏尼·斯万伯格
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South China Normal University
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South China Normal University
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Priority to CN201910546779.XA priority Critical patent/CN110213460A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/04Context-preserving transformations, e.g. by using an importance map
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/194Segmentation; Edge detection involving foreground-background segmentation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/14Picture signal circuitry for video frequency region
    • H04N5/21Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Processing (AREA)

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

A kind of prospect scattering removing method based on inverse locking phase spatial modulation
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。
CN201910546779.XA 2019-06-24 2019-06-24 A kind of prospect scattering removing method based on inverse locking phase spatial modulation Pending CN110213460A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
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

Patent Citations (8)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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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