CN109005333A - The infrared quick-fried flash mouth camera of one kind and image composition method - Google Patents
The infrared quick-fried flash mouth camera of one kind and image composition method Download PDFInfo
- Publication number
- CN109005333A CN109005333A CN201811222911.3A CN201811222911A CN109005333A CN 109005333 A CN109005333 A CN 109005333A CN 201811222911 A CN201811222911 A CN 201811222911A CN 109005333 A CN109005333 A CN 109005333A
- Authority
- CN
- China
- Prior art keywords
- image
- module
- radius
- noise reduction
- brightness
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
- Studio Devices (AREA)
Abstract
The invention discloses a kind of infrared quick-fried flash mouth cameras, traffic cameras including 2 sensor, 1 camera lens composition, the body interior has a dichroic light splitting piece by camera lens, light is divided into visible light and infrared light by inside, visible light after separation is projected into 1 visible light sensor, infrared light projects 1 infrared light sensor, and is merged the image in 2 sensor by internal image composition algorithm module, and exported.The present invention can realize image effect identical with common flashing light in the lesser environment of extraneous light filling.
Description
Technical field
The invention belongs to monitoring device technical fields, and in particular to a kind of infrared quick-fried flash mouth camera and be applied to the camera
Image composition method.
Background technique
With the development of monitoring field electronic technology, the driver to drive at night can be by quick-fried when passing by quick-fried flash mouth
The dazzling light that flashing light issues can allow oneself eye to dodge blind, also, this to traffic safety to have buried a degree of safety hidden
Suffer from.People blinks take around 0.2-0.4S every time, can be to driving in night running though flash lamp will not cause to damage to human eye
The person of sailing causes of short duration blind area, drives to driving and buries security risk.
Summary of the invention
The object of the present invention is to provide a kind of infrared quick-fried flash mouth cameras, to solve existing quick-fried sudden strain of a muscle system to driver's night
Between driving bring security implication.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of infrared quick-fried flash mouth camera, using external infrared flashing light, camera internal will using dichroic light splitting piece
Visible light and infrared light are separated, and the visible light after separation is projected 1 visible light sensor, and infrared light projects 1
A infrared light sensor, and merged the image in 2 sensor by internal image composition algorithm module, and carry out
Output.
Further, described image composition algorithm module includes including Pixel Information cache module, image border expanded mode
Block, noise reduction intensity and mixing radius receiving module, filter operator generation module, image filtering module, image chroma and brightness are closed
At module；
Pixel Information cache module: it on BAYER format-pattern, according to the needs of input filter radius, calculates and needs to delay
Deposit the line number of pixel, and line scrolling be stored in RAM cache resources；
Image border expansion module: on the basis of Pixel Information cache module, being arranged according to radius, defeated to picture element caching
Row two end pixels of head and the tail out are replicated；
Noise reduction intensity and mixing radius receiving module: externally input noise reduction intensity, mixing radius, noise reduction template system are received
The parameters such as number threshold value are modified input value according to conditions such as brightness of image, gains, calculate to obtain for generating filtering
Each term coefficient of subtemplate；
Filter operator generation module is the revised radius generated according to noise reduction intensity and mixing radius receiving module, strong
The parameters such as degree, threshold value calculate and export final N*N Filtering Template, different filter operators is generated for each pixel；
Image filtering module: image filtering is carried out according to filter operator；
Coloration and brightness module are aligned, the root on the picture of brightness by image chroma and brightness synthesis module by edge
It is superimposed carrier chrominance signal according to filter operator, and carries out the color rendition processing of image, ultimately produces composograph.
Another aspect of the present invention additionally provides the image composition method for above-mentioned infrared quick-fried flash mouth camera:
S1: on BAYER format-pattern, according to the needs of input filter radius, calculating the line number for needing to cache pixel, and
It is stored in line scrolling in RAM cache resources；
S2: on the basis of Pixel Information cache module, being arranged according to radius, to the row head and the tail both ends of picture element caching output
Pixel is replicated；
S3: receiving the parameters such as externally input noise reduction intensity, mixing radius, noise reduction coefficients threshold value, bright according to image
The conditions such as degree, gain, are modified input value, to obtain each term coefficient for generating filter operator template；
S4, the parameters such as revised radius, intensity, threshold value generated according to noise reduction intensity and mixing radius receiving module,
It calculates and exports final N*N Filtering Template, different filter operators is generated for each pixel；
S5: image filtering is carried out according to filter operator；
S6: coloration and brightness module are aligned by edge, coloration letter is superimposed according to filter operator on the picture of brightness
Number, and the color rendition processing of image is carried out, ultimately produce composograph.
Further, in step S2, the pixel determinants blanking portion of duplication, synchronization signal respective extension, meanwhile, root
According to the characteristic of BAYER mode data, the mode for taking interlacing to extract every column filter forms new Pixel Information array.
Further, in step S3, for mean picture brightness, gain and the relationship of input, have as defined below:
Wherein, r is input radius, and S is noise reduction intensity, and t is noise reduction parameters threshold value, and Lavg is mean picture brightness, and G is figure
As relative gain, offset1And offset2For the offset of the formula, offset1And offset2Respectively 0.85 and 0.45.
Further, in step S4, the value of N is determined by radius, and each term coefficient of operator is determined by intensity and threshold value, for every
A pixel generates different filter operators, and carries out 2D convolution operation to the Pixel Information after extension, exports convolution results.Half
Diameter, threshold value, brightness of image, has following relationship between gain at noise reduction intensity:
Wherein, x, y are coordinate of the Filtering Template with respect to central point, and r is radius i.e. at a distance from central point, and S is that noise reduction is strong
Degree, t are noise reduction threshold value, and Δ L is the point and image center luminance difference, and G is image gain scaled value, and n is luminance compensation.
Compared with prior art, the present invention have it is following the utility model has the advantages that
(1) infrared quick-fried flash mouth camera of the present invention can obtain and the quick-fried sudden strain of a muscle of white light when using infrared quick-fried sudden strain of a muscle light filling
Identical full-color effect.It can solve the quick-fried flash of light pollution problem of night white light in this way, reduce the moment blind of driver, guarantee road
The traffic safety on road.
(2) infrared quick-fried flash mouth camera of the present invention uses dichroic light splitting piece, can save a camera lens, lowers
The design difficulty and product cost of product, have later product promotion bigger competitive advantage.
Detailed description of the invention
Fig. 1 is infrared quick-fried flash mouth camera functional block diagram described in the embodiment of the present invention；
Fig. 2 is infrared quick-fried flash mouth camera structure schematic diagram described in the embodiment of the present invention；
Fig. 3 is the dichroic light splitting piece functional schematic of infrared quick-fried flash mouth camera internal described in the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
As shown in Figure 1, 2, 3, infrared quick-fried flash mouth camera of the invention, by built-in 2 sensor, (one can be photosensitive
Visible light, one can be with light-sensitive infrared light) it is photosensitive to being distinguished by the light after dichroic light splitting piece, then by 2
The image of sensor carries out image composition algorithm.
Software module used in algorithm include Pixel Information cache module, image border expansion module, noise reduction intensity and
Mix radius receiving module, filter operator generation module, image filtering module, image chroma and brightness synthesis module
Pixel Information cache module, according to the needs of input filter radius, calculates on BAYER format-pattern and needs to delay
Deposit the line number of pixel, and line scrolling be stored in RAM cache resources, the line number and line number read needed for different filter radius
Difference need to export each row location information cache, so that subsequent module is read at any time, since BAYER mode data uses adjacent 2*2
Array be RB GB arrangement mode, therefore each pixel period caching output data class corresponding change；
Image border expansion module is arranged on the basis of Pixel Information cache module according to radius, defeated to picture element caching
Out row head and the tail two end pixels replicated, with guarantee filter output effective width with input effective width it is identical, the picture of duplication
Plain determinants blanking portion, synchronization signal respective extension, meanwhile, according to the characteristic of BAYER mode data, take interlacing every column
The mode extracted is screened, new Pixel Information array is formed, for example, image filtering radius is 3, then needs to cache pixel using 7*7
Data, caching is 13 rows in BAYER mode data, every row head and the tail duplication extension 1*5 pixel.
Noise reduction intensity and mixing radius receiving module receive externally input noise reduction intensity, mixing radius, noise reduction template system
The parameters such as number threshold value are modified input value according to conditions such as brightness of image, gains, calculate to obtain for generating filtering
Each term coefficient of subtemplate.For mean picture brightness, gain and the relationship of input, have as defined below:
Wherein, r is input radius, and S is noise reduction intensity, and t is noise reduction parameters threshold value, and Lavg is mean picture brightness, and G is figure
As relative gain, offset1And offset2For the offset of the formula, according to many experiments, offset herein1And offset2
Respectively 0.85 and 0.45, input parameter is adjusted according to above formula, can reach ideal effect.
Filter operator generation module is the revised radius generated according to noise reduction intensity and mixing radius receiving module, strong
The parameters such as degree, threshold value calculate and export final N*N Filtering Template, and the value of N is determined by radius, each term coefficient of operator by intensity and
Threshold value determines, different filter operators is generated for each pixel, and carry out 2D convolution operation to the Pixel Information after extension,
Export convolution results.Radius, threshold value, brightness of image, has following relationship between gain at noise reduction intensity:
Wherein, x, y are coordinate of the Filtering Template with respect to central point, and r is radius i.e. at a distance from central point, and S is that noise reduction is strong
Degree, t are noise reduction threshold value, and Δ L is the point and image center luminance difference, and G is image gain scaled value, and n is luminance compensation.Work as r >
When S*t, which is 0.It is remoter with center reference point distance it can be seen that under N*N neighborhood template, influence it is smaller,
Noise reduction intensity and threshold value are bigger, and influence is bigger, with reference point luminance difference away from the increase with gain, have increase to the point template coefficient
Effect.
Coloration and brightness module are aligned, the root on the picture of brightness by image chroma and brightness synthesis module by edge
It is superimposed carrier chrominance signal according to filter operator, and carries out the color rendition processing of image, ultimately produces composograph.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, though
The right present invention has been described by way of example and in terms of the preferred embodiments, however, being not intended to limit the invention, any technology people for being familiar with this profession
Member can make a little change or modification using the technology contents disclosed certainly without departing from the scope of the present invention, at
For the equivalent embodiment of equivalent variations, but anything that does not depart from the technical scheme of the invention content, according to the technical essence of the invention
Any simple modification, equivalent change and modification to the above embodiments, belong in the range of technical solution of the present invention.
Claims (6)
1. a kind of infrared quick-fried flash mouth camera, which is characterized in that use external infrared flashing light, camera internal uses dichroic
Light splitting piece will be seen that light and infrared light are separated, and the visible light after separation is projected 1 visible light sensor, infrared light
1 infrared light sensor is projected, and is closed the image in 2 sensor by internal image composition algorithm module
And it and is exported.
2. the infrared quick-fried flash mouth camera of one kind according to claim 1, which is characterized in that described image composition algorithm module
Including including Pixel Information cache module, image border expansion module, noise reduction intensity and mixing radius receiving module, filter operator
Generation module, image filtering module, image chroma and brightness synthesis module；
Pixel Information cache module: on BAYER format-pattern, according to the needs of input filter radius, calculating needs to cache picture
Element line number, and line scrolling be stored in RAM cache resources；
Image border expansion module: on the basis of Pixel Information cache module, being arranged according to radius, to picture element caching output
Row two end pixels of head and the tail are replicated；
Noise reduction intensity and mixing radius receiving module: externally input noise reduction intensity, mixing radius, noise reduction coefficients threshold are received
The parameters such as value are modified input value according to conditions such as brightness of image, gains, to obtain for generating filter operator mould
Each term coefficient of plate；
Filter operator generation module, the revised radius generated according to noise reduction intensity and mixing radius receiving module, intensity, threshold
The parameters such as value calculate and export final N*N Filtering Template, different filter operators is generated for each pixel；
Image filtering module: image filtering is carried out according to filter operator；
Coloration and brightness module are aligned, according to filter on the picture of brightness by image chroma and brightness synthesis module by edge
Wave operator is superimposed carrier chrominance signal, and carries out the color rendition processing of image, ultimately produces composograph.
3. the image composition method that infrared quick-fried flash mouth camera as claimed in claim 1 or 2 uses, it is characterised in that:
S1: on BAYER format-pattern, according to the needs of input filter radius, the line number for needing to cache pixel is calculated, and line by line
Rollably it is stored in RAM cache resources；
S2: on the basis of Pixel Information cache module, being arranged according to radius, to row two end pixels of head and the tail of picture element caching output
It is replicated；
S3: the parameters such as externally input noise reduction intensity, mixing radius, noise reduction coefficients threshold value are received, according to brightness of image, are increased
The conditions such as benefit, are modified input value, to obtain each term coefficient for generating filter operator template；
S4, the parameters such as revised radius, intensity, threshold value generated according to noise reduction intensity and mixing radius receiving module, calculates
Final N*N Filtering Template is exported, different filter operators is generated for each pixel；
S5: image filtering is carried out according to filter operator；
S6: coloration and brightness module being aligned by edge, are superimposed carrier chrominance signal according to filter operator on the picture of brightness, and
The color rendition processing for carrying out image, ultimately produces composograph.
4. according to the method described in claim 3, it is characterized in that, in step S2, the pixel determinants blanking portion of duplication,
Synchronization signal respective extension, meanwhile, according to the characteristic of BAYER mode data, the mode for taking interlacing to extract every column filter, composition
New Pixel Information array.
5. according to the method described in claim 3, it is characterized in that, in step S3, for mean picture brightness, gain and input
Relationship, have as defined below:
Wherein, r is input radius, and S is noise reduction intensity, and t is noise reduction parameters threshold value, and Lavg is mean picture brightness, and G is image phase
To gain, offset1And offset2For the offset of the formula, offset1And offset2Respectively 0.85 and 0.45.
6. according to the method described in claim 3, it is characterized in that, the value of N is determined by radius in step S4, each term system of operator
Number is determined by intensity and threshold value, different filter operators is generated for each pixel, and carry out to the Pixel Information after extension
2D convolution operation exports convolution results.Radius, threshold value, brightness of image, has following relationship between gain at noise reduction intensity:
Wherein, x, y are coordinate of the Filtering Template with respect to central point, and r is radius i.e. at a distance from central point, and S is noise reduction intensity, t
For noise reduction threshold value, Δ L is the point and image center luminance difference, and G is image gain scaled value, and n is luminance compensation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811222911.3A CN109005333A (en) | 2018-10-19 | 2018-10-19 | The infrared quick-fried flash mouth camera of one kind and image composition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811222911.3A CN109005333A (en) | 2018-10-19 | 2018-10-19 | The infrared quick-fried flash mouth camera of one kind and image composition method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109005333A true CN109005333A (en) | 2018-12-14 |
Family
ID=64590288
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811222911.3A Pending CN109005333A (en) | 2018-10-19 | 2018-10-19 | The infrared quick-fried flash mouth camera of one kind and image composition method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109005333A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020238970A1 (en) * | 2019-05-31 | 2020-12-03 | 杭州海康威视数字技术股份有限公司 | Image denoising device and image denoising method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1573505A (en) * | 2003-05-21 | 2005-02-02 | 富士写真光机株式会社 | Visible and infrared light photographing lens system |
| US20060082673A1 (en) * | 2004-10-20 | 2006-04-20 | Dong-Han Kim | Camera module and method of fabricating the same |
| CN103546730A (en) * | 2012-07-11 | 2014-01-29 | 北京博雅华录视听技术研究院有限公司 | Method for enhancing light sensitivities of images on basis of multiple cameras |
| CN204460078U (en) * | 2015-03-18 | 2015-07-08 | 杭州海康威视数字技术股份有限公司 | A kind of flashing light and comprise the equipment of this flashing light |
| CN106327447A (en) * | 2016-08-30 | 2017-01-11 | 天津天地伟业数码科技有限公司 | Spatial domain and pixel domain hybrid de-noising algorithm based on FPGA (Field Programmable Gate Array) platform |
| CN107483811A (en) * | 2017-07-28 | 2017-12-15 | 广东欧珀移动通信有限公司 | Imaging method and electronic installation |
-
2018
- 2018-10-19 CN CN201811222911.3A patent/CN109005333A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1573505A (en) * | 2003-05-21 | 2005-02-02 | 富士写真光机株式会社 | Visible and infrared light photographing lens system |
| US20060082673A1 (en) * | 2004-10-20 | 2006-04-20 | Dong-Han Kim | Camera module and method of fabricating the same |
| CN103546730A (en) * | 2012-07-11 | 2014-01-29 | 北京博雅华录视听技术研究院有限公司 | Method for enhancing light sensitivities of images on basis of multiple cameras |
| CN204460078U (en) * | 2015-03-18 | 2015-07-08 | 杭州海康威视数字技术股份有限公司 | A kind of flashing light and comprise the equipment of this flashing light |
| CN106327447A (en) * | 2016-08-30 | 2017-01-11 | 天津天地伟业数码科技有限公司 | Spatial domain and pixel domain hybrid de-noising algorithm based on FPGA (Field Programmable Gate Array) platform |
| CN107483811A (en) * | 2017-07-28 | 2017-12-15 | 广东欧珀移动通信有限公司 | Imaging method and electronic installation |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020238970A1 (en) * | 2019-05-31 | 2020-12-03 | 杭州海康威视数字技术股份有限公司 | Image denoising device and image denoising method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10504214B2 (en) | System and method for image presentation by a vehicle driver assist module | |
| US20090251534A1 (en) | Vehicle-mounted image processing device, and method for controlling vehicle-mounted image processing device | |
| CN103916610B (en) | Dazzle for dynamic reversing mirror is reduced | |
| CN106991707B (en) | Traffic signal lamp image strengthening method and device based on day and night imaging characteristics | |
| JP4863951B2 (en) | Traffic light recognition device | |
| US20120062746A1 (en) | Image Processing Apparatus | |
| JP5071198B2 (en) | Signal recognition device, signal recognition method, and signal recognition program | |
| CN101295355A (en) | Face image capturing apparatus | |
| CN107709096A (en) | For handling streaming transmitting video image to correct the system and method for the flickering of amplitude modulated light | |
| CN103098097A (en) | Surrounding image display system and surrounding image display method for vehicle | |
| JP2012027773A (en) | Pseudo grayscale image generation device and program | |
| JP2007288657A (en) | Display apparatus for vehicle, and display method of the display apparatus for vehicle | |
| CN103155028A (en) | Display unit, image sensing unit and display system | |
| JP4989249B2 (en) | Eye detection device, dozing detection device, and method of eye detection device | |
| CN106550227A (en) | A kind of image saturation method of adjustment and device | |
| CN106023110A (en) | Image defogging method with high fidelity | |
| CN109005333A (en) | The infrared quick-fried flash mouth camera of one kind and image composition method | |
| CN103646545B (en) | Infrared bayonet socket video capture realize method | |
| CN205249392U (en) | Supplementary driving device's video acquisition system | |
| CN113691735B (en) | Camera and infrared light supplementing method and device | |
| KR20050065421A (en) | Imaging system | |
| CN101783013A (en) | Image enhancement system and method applicable to traffic control | |
| TWI630818B (en) | Dynamic image feature enhancement method and system | |
| TW201224954A (en) | Embedded system and method for processing and identifying image | |
| KR102614494B1 (en) | Non-identical camera based image processing device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181214 |