CN106851086A - A kind of method and apparatus for carrying out photo generation - Google Patents
A kind of method and apparatus for carrying out photo generation Download PDFInfo
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- CN106851086A CN106851086A CN201611064178.8A CN201611064178A CN106851086A CN 106851086 A CN106851086 A CN 106851086A CN 201611064178 A CN201611064178 A CN 201611064178A CN 106851086 A CN106851086 A CN 106851086A
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- haze
- image
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- image procossing
- air quality
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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
- H04N23/80—Camera processing pipelines; Components thereof
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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
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
Abstract
The invention discloses a kind of method and apparatus for carrying out photo generation.Solve prior art exist lack real time information according to, cannot automatic early-warning haze environment, the technical problem of realtime graphic defogging treatment cannot be carried out in intelligent terminal.The described method for carrying out photo generation includes：Start-up loading camera application program；Obtain the haze air quality index information of there and then；When the haze air quality index information reaches predetermined grade more than threshold value or haze air quality index rank, haze image procossing entrance is removed in loading in the camera application program；The triggering of haze image procossing entrance is gone described in detecting, haze image procossing is carried out to the picture data that Current camera application program is obtained according to going haze to process grade.The present invention is used for mobile terminal technique for taking field.
Description
Technical field
The present invention relates to mobile terminal technique for taking field, more particularly to a kind of method and apparatus for carrying out photo generation.
Background technology
With the popularization and application of mobile terminal, such as mobile phone, notebook computer, panel computer mobile device in life
Indispensable, the additional various functions of mobile device are also increasingly paid close attention to by everybody.In daily life, intelligent terminal base
Originally card camera is instead of, with the popularization of intelligent terminal camera function, the demand of picture processing is carried out using intelligent terminal
Increasingly increase, while the various image processing softwares on intelligent terminal also begin to emerge in large numbers.
At present, the fast development of industrial technology, result in the continuous decline of air quality.Wherein, fog, haze phenomenon day
Benefit increases, and frequency more and more higher, influence area are more and more wider, and great inconvenience is caused to people's daily life.Fog, mist
Haze weather causes that the visibility of image scene is relatively low, and the image for capturing seriously degrades, and can be degenerated to when its axis information is serious
The state being difficult to.
In order to still obtain preferable picture imaging in fog, haze weather, propose in the prior art various
The technical scheme of defogging.Divide from defogging principle, defogging mode can be divided into two kinds：Hardware mode, is to utilize Multi-sensor Fusion
Method, by the use of other sensors information as the complementary information of visual sensor information, by the performance for improving photographic goods
Carry out defogging；Software mode, is the sharpening problem that degraded image is considered using digital image processing techniques, by shooting
Photo carries out later stage treatment improves picture imaging so as to reach the effect of defogging.
Following problem is primarily present in the prior art：
(1) software defogging technology is not combined effectively with the camera of mobile terminal, and many carried out image by algorithm and adopted
Collection post processing realization, lacks the reference of real time information；
(2) cannot automatic early-warning haze environment, it is necessary to user actively enters haze exposal model；
(3) when going haze effect weaker, user cannot direct feel to going haze effect.
The content of the invention
One of purpose of the invention be propose a kind of combination Weather information remove haze photographic method, solve existing
Technology exist lack real time information according to, cannot automatic early-warning haze environment, realtime graphic defogging cannot be carried out in intelligent terminal
The technical problem for the treatment of.Many technique effects that optimal technical scheme in many technical schemes that the present invention is provided can be generated
(lifting user's participation and Consumer's Experience, intellectuality etc.) elaboration as detailed below.
To achieve the above object, the invention provides following technical scheme：
A kind of method for carrying out photo generation, including：Start-up loading camera application program；The haze for obtaining there and then is empty
Makings volume index information；When the haze air quality index information reaches more than threshold value or haze air quality index rank
During predetermined grade, haze image procossing entrance is removed in loading in the camera application program；Detect described going at haze image
The triggering of entrance is managed, haze image is carried out to the picture data that Current camera application program is obtained according to going haze to process grade
Treatment.
Preferably, also include, obtain the location information of mobile terminal position, conventional according to the place removes haze
Processing parameter or the haze treatment level parameters and Processing Algorithm information shared in place upload by other users carry out defogging
Haze image procossing.
Preferably, according to the image gone after haze image procossing, gather described in time when removing haze image procossing,
Place, defogging treatment class parameter information, by the time, place, go haze treatment class parameter information to upload to network
Server.
Preferably, the webserver by it is described remove haze image procossing when time, place, go haze processing information
Sorted out, generate it is instant share parameter, be issued to the time point is carried out taking pictures the user for the treatment of at the place.
Preferably, before the haze air quality index information for obtaining the there and then, user present position is judged.
Preferably, the method for judging user present position includes：Image luminance information is obtained, if described image brightness
Information is more than threshold value, judges that user is in outdoor；If described image monochrome information is less than threshold value, judge that user is in interior.
Preferably, according to user present position information is judged, if user is in outdoor, above-mentioned other steps are performed；If with
Family is in interior, and haze treatment image procossing entrance is loaded not in the camera application program.
Preferably, the method for removing haze image procossing includes：Using going haze Processing Algorithm to the preview image
Carry out haze to process, to obtain the first fog free images that removal haze is disturbed；Increase exposure is carried out to first fog free images
Luminosity treatment and Auto Laves treatment, to strengthen the display effect of first fog free images.
Preferably, it is described to be processed using going haze Processing Algorithm to carry out haze to the preview image, to be removed
First fog free images of haze interference, including：Dark primary passage extraction is carried out to preview image I (x), it is described pre- to obtain
Look at the dark primary passage I of imagedark(x)；Dark primary passage I according to the preview imagedarkX (), estimates the preview image
Atmospheric environment light component A；According to preview image I (x) and the atmospheric environment light component A of the preview image, calculate
Transmissivity t (x) of the preview image；According to preview image I (x), transmissivity t (x) of the preview image and described
The atmospheric environment light component A of preview image, obtains the first fog free images J (x) of removal haze interference.
Preferably, before the haze air quality index information for obtaining the there and then, preview image letter of taking pictures is obtained
Breath, including the preview image of taking pictures haze extent index.
Preferably, setting defogging is taken pictures threshold value, relatively described in take pictures the haze extent index of preview image, if the haze
Extent index exceedes threshold value, obtains the haze air quality index information；If the haze extent index is no more than threshold value, enter
Haze image procossing is removed described in row.
Preferably, after removing haze image procossing described in carrying out, haze image and original image are removed in contrast, and haze ratio is gone in judgement
And display reminding information.
Preferably, the judgement goes the method for haze ratio to include：Haze image is estimated respectively according to haze algorithm is removed
Divided by the haze intensity of original image after the difference of both the haze intensity of haze intensity and original image, calculating.
Present invention also offers a kind of intelligent terminal, including：Acquisition module, the haze for obtaining there and then is empty
Makings volume index information；Judge module, for judging whether that loading goes haze image procossing to enter in the camera application program
Mouthful；Processing module, for detect it is described go haze image procossing entrance to trigger after, carry out haze image procossing；It is described to sentence
Disconnected module is specifically for when the haze air quality index information reaches more than threshold value or haze air quality index rank
During predetermined grade, haze image treatment entrance is loaded in the camera application program.
Preferably, the acquisition module is additionally operable to, and obtains the location information of the mobile terminal position；Obtain described
What the place of mobile terminal position was commonly used goes haze processing parameter；Obtain in place in mobile terminal institute by other users
Put haze treatment level parameters and the Processing Algorithm information for uploading and sharing；Obtaining the mobile terminal position carries out haze
The location information of image procossing；Obtaining the mobile terminal carries out the defogging processing information of haze image procossing.
Preferably, the information that the acquisition module is obtained uploads to the webserver and is stored.
Preferably, the webserver is sorted out the information that the acquisition module for storing is obtained, and generation is instant
Share parameter, be issued to the time point is carried out taking pictures the user for the treatment of at the place.
Preferably, the processing module is additionally operable to, according to acquisition module acquisition by other users in the mobile terminal
Position uploads haze treatment level parameters and the Processing Algorithm information shared, and carries out haze image procossing.
Preferably, the judge module is additionally operable to judge user place position.
Preferably, the judge module judges that the method for position described in user includes：Image luminance information is obtained, if described
Image luminance information is more than threshold value, judges that user is in outdoor；If described image monochrome information is less than threshold value, judge that user is in
It is indoor.
Preferably, the method for removing haze image procossing includes：
Processed using going haze Processing Algorithm to carry out haze to the preview image, to obtain removal haze is disturbed the
One fog free images；First fog free images are carried out to increase exposure treatment and Auto Laves treatment, to strengthen described first
The display effect of fog free images.
Preferably, it is described to be processed using going haze Processing Algorithm to carry out haze to the preview image, to be removed
First fog free images of haze interference, including：Dark primary passage extraction is carried out to preview image I (x), it is described pre- to obtain
Look at the dark primary passage I of imagedark(x)；Dark primary passage I according to the preview imagedarkX (), estimates the preview image
Atmospheric environment light component A；According to preview image I (x) and the atmospheric environment light component A of the preview image, calculate
Transmissivity t (x) of the preview image；According to preview image I (x), transmissivity t (x) of the preview image and described
The atmospheric environment light component A of preview image, obtains the first fog free images J (x) of removal haze interference.
Preferably, the acquisition module is additionally operable to before the haze air quality index information for obtaining the there and then,
Acquisition is taken pictures preview image information.
Preferably, the acquisition module be additionally operable to obtain described in take pictures the haze extent index of preview image, if the mist
Haze index exceedes threshold value, and the acquisition module obtains the haze air quality index information；If the haze index is no more than
Threshold value, carries out described removing haze image procossing.
Preferably, the judge module is additionally operable to, and haze image and original image are removed in contrast, and haze ratio is gone in judgement.
Preferably, also including memory module, for storing the data message of acquisition module acquisition and/or going haze image
And/or original image.
Based on above-mentioned technical proposal, the embodiment of the present invention can at least produce following technique effect：
(1) networking obtains the Weather information at local this moment, and the haze of there and then is preferably judged according to Weather information
Situation, automatic early-warning haze environment is recommended to enter and removes haze exposal model；
(2) carry out haze in real time in intelligent terminal after taking pictures to process, so as to strengthen the effect that intelligent terminal is taken pictures.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this hair
Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In the accompanying drawings：
The flow chart that Fig. 1 is provided by photographic method first embodiment of the present invention；
Fig. 2 is the fogless handling principle schematic diagram of image that photographic method first embodiment of the present invention is provided；
Fig. 3 takes pictures prompting interface design sketch for defogging that photographic method first embodiment of the present invention is provided；
The defogging hierarchical selection interfacial effect figure that Fig. 4 is provided for photographic method first embodiment of the present invention；
The defogging ratio display interface design sketch that Fig. 5 is provided for photographic method first embodiment of the present invention；
Fig. 6-a are the original image design sketch that the embodiment of the present invention one is provided；
Fig. 6-b are the dark primary channels result figure that the embodiment of the present invention one is provided；
Fig. 6-c are the first fog free images design sketch that the embodiment of the present invention one is provided；
Fig. 7 is a kind of intelligent terminal schematic diagram that the embodiment of the present invention two is provided.
Specific embodiment
Accompanying drawing 1 is referred to below understands present disclosure to Fig. 7 and word content and of the invention with existing skill
Distinctive points between art.Hereafter accompanying drawing and by way of enumerating some alternative embodiments of the invention, to skill of the invention
Art scheme (including optimal technical scheme) is described in further detail.It should be noted that：Any technology in the present embodiment
Feature, any technical scheme are one or more in the technical characteristic or optional technical scheme of plurality of optional, in order to retouch
State it is succinct the need in presents cannot exhaustive all alternative technical characteristics of the invention and alternative technical scheme,
Also the implementation method for being not easy to each technical characteristic emphasizes that it is one of optional numerous embodiments, so art technology
Personnel should know：Can by the present invention provide any technological means be replaced or by the present invention provide any two or
More technological means or technical characteristic are combined and obtain new technical scheme mutually.Any technology in the present embodiment is special
Levy and any technical scheme is not limited the scope of the invention, protection scope of the present invention should include art technology
Personnel do not pay the thinkable any alternate embodiments of creative work institute and those skilled in the art provide the present invention
Any two or more technological means or technical characteristic be combined mutually obtained from new technical scheme.
The technical scheme that the present invention is provided is illustrated in more detail with reference to Fig. 1.
As shown in figure 1, first embodiment of the invention provides a kind of method for carrying out photo generation, described photo generation
Method is comprised the following steps：
Step S01, obtains the haze air quality index information of there and then.
Start-up loading camera application program, by the interface with weather software systems, networking obtains what weather software was provided
The Weather information at local this moment, the Weather information of acquisition includes the evaluation of comprehensive weather, air quality index, air quality index
The Weather informations such as rank.
Preferably, the location information of mobile terminal position is obtained, ginseng is processed according to the conventional haze that goes in the place
Number or the haze treatment level parameters and Processing Algorithm information shared in place upload by other users carry out haze image
Treatment.
Before the haze air quality index information for obtaining the there and then, preview image information of taking pictures is obtained, including
The haze extent index of the preview image of taking pictures.The mobile terminal system presets defogging and takes pictures threshold value, relatively more described
Take pictures the haze extent index of preview image, if the haze extent index exceedes threshold value, obtain the haze air quality and refer to
Number information；If the haze extent index is no more than threshold value, carry out described removing haze image procossing.
Step S02, according to the Weather information for obtaining, judges whether that haze image procossing entrance is removed in loading.
Because air quality index (Air Quality Index, abbreviation AQI) is quantitative description Air Quality
Zero dimension index.According to《Ambient air quality index (AQI) technical stipulation (tentative)》(HJ 633-2012) specifies：Air is dirty
Staining index is divided into 0-50,51-100,101-150,151-200,201-300 and more than 300 6 grades, corresponds respectively to
Six ranks of air quality, index is bigger, and rank is higher, illustrates that pollution is more serious, and the influence to health is also more obvious.
Air pollution index is 0-50, and air quality rank is one-level, and Air Quality belongs to excellent；Air pollution index is 51-
100, air quality rank is two grades, and Air Quality belongs to good；Air pollution index is 101-150, air quality rank
It is three-level, Air Quality belongs to slight pollution；Air pollution index is 151-200, and air quality rank is level Four, empty
Gas quality condition belongs to intermediate pollution；Air pollution index is 201-300, and air quality rank is Pyatyi, Air Quality
Belong to serious pollution；Air pollution index is more than 300, and air quality rank is six grades, and Air Quality belongs to severe contamination.
The pollutant that air quality index participates in evaluating is SO2、NO2、PM10、PM2.5、O3, CO etc. six, therefore can be more objective
Illustrate air pollution situation.When air quality index is more than 150 or air quality index rank is level Four or Pyatyi or six grades
When, air quality reach intermediate pollution and more than, illustrate there is haze phenomenon in air.
Therefore, networking detection obtains the Weather information at local this moment and shows that air quality index is more than 150 or air
When performance figure rank is level Four or Pyatyi or six grades, judge there is haze in air, defogging is loaded in camera application program
Haze image procossing entrance.Using haze exposal model is removed if haze exposal model is removed in user's selection entrance, if user's selection is not
Into going haze exposal model then to use original camera function, i.e., without defogging camera function.Such as networking detection air matter
When volume index is 180, " air quality of camera calibration to your current location is poor, and photographing outdoors effect may receive haze for display
Influence, can have a try haze screening-mode ", referring to Fig. 3.
It is more accurate to shoot haze, before the haze air quality index information for obtaining the there and then, judge
User present position.Judging the method for user present position includes, image luminance information is obtained, if described image monochrome information is big
In threshold value, judge that user is in outdoor；If described image monochrome information is less than threshold value, judge that user is in interior.If at user
In outdoor, other steps described in step S02 are performed；If user is in interior, without being loaded in the camera application program
Haze processes image procossing entrance.
Step S03, detects after haze image procossing entrance is triggered, into removing haze exposal model.
Into after removing haze exposal model, the Weather information at local this moment is shown in preview interface.
Haze intensity is estimated with reference to the Weather information at local this moment, haze grade is gone according to haze strength matching.Generally
Haze is bigger, goes haze grade higher.For example, referring to haze intensity using transmissivity t (x), the bigger haze intensity of transmissivity is more
It is small.The first fog free images J (x) that removal haze is disturbed are calculated by transmissivity t (x), haze grade is drawn.
Step S04, haze image procossing is carried out according to haze grade is gone.
After intelligent terminal unlatching realtime graphic goes haze processing function and shooting obtains preview image, intelligent terminal root
Haze is gone to process preview image according to haze Processing Algorithm is gone, it is therefore an objective to extract the haze layer in image, will clap
The haze layer taken the photograph in the preview image for obtaining is separated and eliminated from former preview image, to obtain do not disturbed by haze the
One fog free images.
Fig. 2 is the fogless handling principle schematic diagram of image, and the atmospheric degradation model having under mist scene as shown in Figure 2 enters
The light of intelligent terminal camera is dimerous by transmitted light and ambient light.Wherein, transmitted light represents by solid line, transmitted light
It is scenery surface reflection by the light that is passed through after the dispersion and decay of fog particle in air；Ambient light is illustrated by the broken lines,
It is the light that ambient light is produced by the refraction of fog particle in air and reflex.Figure after being shot due to intelligent terminal
It is mingled with atmospheric environment light component as in, therefore causes the image for shooting that degradation phenomena, such as brightness increase, contrast reduction occur
Deng.Generally, the theoretical foundation of haze image forming process can be represented by formula (1) and formula (2).
I (x)=J (x) t (x)+A (1-t (x)) (1)
T (x)=e-βd(x) (2)
Wherein, I (x) is to shoot the preview image for obtaining, and J (x) is fog free images to be restored, and A is global atmosphere environment
Light component, t (x) is transmissivity, and β is atmospheric scattering coefficient, and d (x) is the depth of field.So, fog free images J (x) to be restored can be with
It is expressed as formula (3)：
Understood according to formula (3), if obtaining the value of t (x) and A, you can recover fog free images.
According to the fogless handling principle of images above, a kind of image presented below goes the method that haze is processed, specifically include with
Lower step：
Dark primary passage extraction is carried out to preview image I (x), to obtain the dark primary passage I of the preview imagedark
(x)。
First, the minimum value in R, G, channel B is taken to each pixel in preview image I (x).Rgb color pattern is work
A kind of color standard of industry, R, G, B represent three colors of passage of red, green, blue respectively, by red (R), green (G), indigo plant
(B) three changes and their superpositions each other of Color Channel obtain color miscellaneous, and this standard is almost
The all colours that human eyesight can perceive are included, is to use one of most wide color system at present.RGB respectively have 256 grades it is bright
Degree, 0~255 is represented with numeral, wherein 0 represents minimum brightness, 255 represent maximum brightness, when the brightness value phase of R, G, B triple channel
It is the grey of achromatization to be superimposed simultaneously, and also available digital is expressed as 0~255 to gray scale, wherein 0 represents white, 255 represent
Black.When each pixel is grey in image, the image is gray-scale map.
After the minimum value in R, G, channel B being taken to each pixel in preview image I (x), then with R, G, B of each pixel
Minimum value in passage is the gray scale of each pixel, generates the gray-scale map of the preview imageFor example, a picture
The brightness of G passages is minimum in three Color Channels of element, is 20, then the gray scale of the pixel is set as into 20, to preview image I
X each pixel of () does same treatment and obtains a gray-scale map
The gray-scale map of the preview image of generation according to more thanSliding window filtering process is carried out, obtains described
The dark primary passage of preview imageWherein Ω (x) represents the window centered on pixel x
Mouthful.The method of the generation dark primary passage that the embodiment of the present invention two is proposed is by gray-scale mapThe brightness of middle pixel x
Take the brightness value of the pixel of brightness minimum in window Ω (x) centered on x, the gray-scale map so during window slidingIn the brightness of each pixel can obtain filtering process, the image after filtering process is represented byIn some feasible implementation methods, the size of window Ω (x) can be set as 15 × 15, i.e.,
The radius of mini-value filtering is 7 pixels.
Dark primary passage I according to the preview imagedarkX (), estimates the atmospheric environment light component A of preview image.
Dark primary passage I is obtained by above stepdarkAfter (x), by the dark primary passage IdarkX the pixel of () is carried out
Brightness is sorted from high to low, takes out the dark primary passage IdarkX () brightness is preceding 0.1% pixel.The dark primary that will be taken out
Passage IdarkX () brightness is that preceding 0.1% pixel is corresponded on preview image I (x), take out the corresponding picture on preview image I (x)
Element.Then R, G, the pixel of the high-high brightness of channel B are taken in corresponding pixel points again on preview image respectively, by the R, G,
The brightness value of the pixel of the high-high brightness of channel B respectively as R, G, channel B atmospheric environment light componentFor example,
G passages during the maximum brightness value of R passages is 50, all corresponding pixels in all corresponding pixels on preview image
Maximum brightness value be the maximum brightness value of channel B in 80, all corresponding pixels for 100, then preview image R, G, channel B
Atmospheric environment light componentRespectively 50,80 and 100, the atmospheric environment component of three passages is overlapped obtain it is pre-
Look at the atmospheric environment light component A of image.
According to preview image I (x) and the atmospheric environment light component A of preview image, the transmission of the preview image is calculated
Rate t (x).
Formula (1) I (x)=J (x) t (x)+A (1-t (x)) to the theoretical foundation of above-mentioned haze image forming process is carried out
Conversion, can obtain formula (4)：
It is assumed that window internal transmission factor t (x) is constant, it is defined asFormula (4) both sides are minimized and to most
Small value carries out sliding-window filtering, can obtain formula (5)：
According to dark primary color channel prior principle principle JdarkLevel off to knowable to 0,Therefore
In formulaThe discreet value that (5) obtain transmissivity is substituted into,Can be represented with formula (6)：
Due to there are some particles in air all the time, therefore formula (6) is modified to formula (7)：
Wherein, ω ∈ [0,1], referred to as modifying factor, it is preferred that ω is set as fixed value ω=0.90, is gone in image
Good effect can be obtained in the implementing of haze algorithm.
Therefore after the atmospheric environment light component A for obtaining preview image, can be big with preview image according to preview image I (x)
Gas ambient light component A, calculates the transmissivity of preview imageIt is formulated as
Wherein, modifying factor ω ∈ [0,1].
Atmospheric environment light component A according to preview image I (x), transmissivity t (x) of preview image and preview image, obtains
First fog free images J (x) of removal haze interference.
To the formula (3) in the embodiment of the present inventionEnter line translation, obtain formula (8)：
Image is overall partially bright during to prevent t (x) smaller, and the embodiment of the present invention two proposes specified threshold t0, when t (x) is smaller
When meet t (x) ＜ t0When, make t (x)=t0, prevent picture excessively bright.Therefore, final formula (3) can be converted into the shape of formula (9)
Formula.Preferably, by t0It is set as fixed value t0=0.1.
Therefore, according to the atmospheric environment light component of preview image I (x), transmissivity t (x) of preview image and preview image
A, the formula of the first fog free images J (x) for calculating removal haze interference isWherein, t0It is specified
Fixed value.
The design sketch of the fogless Processing Algorithm of image that the embodiment of the present invention one is proposed is as shown in figure 3, wherein, Fig. 6-a are original
Image, Fig. 6-b are the dark primary passage figure that preview image is Fig. 6-a, and Fig. 6-c are that the i.e. Fig. 6-a of preview image scheme by the present invention
The first fog free images gone after haze treatment as going haze Processing Algorithm.
System will determine that the haze grade of most preferably going for drawing is recommended to user, and preview is carried out in the case where most preferably haze grade is gone
The picture of defogging treatment.In addition, described haze grade of going also can independently be set by user, user is in the autonomous defogging for setting
The picture that haze treatment is carried out under grade after accomplishing the setting up carries out preview in user.Referring to Fig. 4, user's selection defogging three-level
When, carry out haze according to three-level and process.
The above-mentioned method for going user in haze grade to set includes being integrated into mobile terminal camera software, or directly adds
It is added in operating system setting.
Go after haze image procossing according to the image gone after haze image procossing, gather described in remove haze image procossing
When time, place, defogging treatment class parameter information, by the time, place, go haze process class parameter information on
Pass to the webserver.
Preferably, the webserver obtain described in time when removing haze image procossing, place, go haze processing information,
And by the time, place, go haze to process class parameter information to be sorted out, generate it is instant share parameter, be issued to
The time point is carried out taking pictures the user for the treatment of at the place.Haze grade is drawn according to parameter is shared.
Haze photo and Original Photo piece are removed in step S05, contrast.
According to the above-mentioned haze intensity for going haze algorithm to estimate haze image haze intensity and original image respectively, two are calculated
Divided by the haze intensity of original image after the difference of person, haze ratio is drawn.Referring to Fig. 5.
Display reminding information after the haze haze ratio that judgement has been removed, wherein prompt message disappears automatically after showing 1 to 5 second
Lose.
It is described to go after the completion of haze image procossing, receive user and preserve the instruction for removing haze image and original image, by defogging
Image and/or original image are preserved.
The embodiment of the present invention two provides a kind of intelligent terminal, and referring to Fig. 3, the intelligent terminal a00 includes
Acquisition module a10, judge module a20 and processing module a30.
Acquisition module a10, the haze air quality index information for obtaining there and then；
Judge module a20, for judging whether to load haze image treatment entrance in the camera application program；
Processing module a30, for detect it is described go haze image procossing entrance to trigger after, carry out at haze image
Reason；
Judge module a20 when the haze air quality index information specifically for being more than threshold value or haze air quality
When index rank reaches predetermined grade, haze image treatment entrance is loaded in the camera application program.
Acquisition module a10 is additionally operable to obtain the location information of the mobile terminal position；Obtain the mobile terminal
What the place of position was commonly used goes haze processing parameter；Obtain to be uploaded in the mobile terminal position by other users and divide
Haze treatment level parameters and the Processing Algorithm information enjoyed；Obtaining the mobile terminal position carries out haze image procossing
Location information；Obtaining the mobile terminal carries out the defogging processing information of haze image procossing.
Acquisition module a10 obtains the location information of mobile terminal position, and conventional according to the place is gone at haze
Reason parameter or the haze treatment level parameters and Processing Algorithm information shared in place upload by other users carry out haze
Image procossing.
Acquisition module a10 obtains preview graph of taking pictures before the haze air quality index information for obtaining the there and then
As information, including the preview image of taking pictures haze extent index.The mobile terminal system presets defogging and takes pictures threshold
It is worth, the haze extent index of preview image of being taken pictures described in comparing, if the haze extent index exceedes threshold value, obtains the haze
Air quality index information；If the haze extent index is no more than threshold value, carry out described removing haze image procossing.
In the present embodiment, after the Weather information at acquisition module a10 networkings detection local this moment, according to Weather information,
When air quality index is more than 150 or air quality index rank is level Four or Pyatyi or six grades, judge exist in air
Haze, haze image procossing entrance is removed in loading in camera application program.Make if haze exposal model is removed in user's selection entrance
Haze exposal model is spent, original camera function is used if user's selection does not enter haze exposal model, i.e., without going
Haze camera function.
Preferably, acquisition module a10 obtains the location information of mobile terminal position, and conventional according to the place goes
Haze processing parameter or the haze treatment level parameters and Processing Algorithm information shared in place upload by other users are carried out
Remove haze image procossing.
Preferably, the acquisition module a10 is additionally operable to obtaining the haze air quality index information of the there and then
Before, acquisition is taken pictures preview image information, including the preview image of taking pictures haze extent index, if the haze index exceedes
Threshold value, the acquisition module obtains the haze air quality index information；If the haze index is no more than threshold value, institute is carried out
State haze image procossing.
Preferably, the location information of the mobile terminal position for being obtained according to acquisition module a10, according to the place
Conventional go haze processing parameter or in the place uploaded the haze shared treatment level parameters by other users and adjusted
Method information carries out haze image procossing.
It is more accurate to shoot haze, before the haze air quality index information for obtaining the there and then, judge
User present position.Judging the method for user present position includes, image luminance information is obtained, if described image monochrome information is big
In threshold value, judge that user is in outdoor；If described image monochrome information is less than threshold value, judge that user is in interior.If at user
In outdoor, other steps of haze image procossing are gone in execution；If user is in interior, without adding in the camera application program
Carry haze treatment image procossing entrance.
Before the haze air quality index information for obtaining the there and then, image of taking pictures is obtained in advance.Obtain described
The haze extent index of image of taking pictures is obtained in advance, if the haze extent index exceedes threshold value, obtains the haze air matter
Volume index information；If the haze extent index is no more than threshold value, carry out described removing haze image procossing.
Acquisition module a10 is received after unlatching removes haze exposal model, goes haze ratings match module to combine local this when
The Weather information estimation haze intensity at quarter, haze grade is gone according to haze strength matching.
Go the haze grade, processing module recommended according to user's selection or system default carry out haze to shooting image
Treatment, obtains the first fog free images.Specifically, it is divided into following steps.
First, dark primary passage extraction is carried out to preview image I (x), to obtain the dark primary of the preview image
Passage Idark(x)；
Then, the dark primary passage I according to the preview imagedarkX (), estimates the atmospheric environment light of the preview image
Component A；According to preview image I (x) and the atmospheric environment light component A of the preview image, the preview image is calculated
Transmissivity t (x)；
Finally, according to the big of preview image I (x), transmissivity t (x) of the preview image and the preview image
Gas ambient light component A, obtains the first fog free images J (x) of removal haze interference.
Wherein, the method for obtaining dark primary passage is to take R, G, channel B to each pixel in preview image I (x)
In minimum value；With the gray scale that the minimum value in the R of each pixel, G, channel B is each pixel, the preview graph is generated
The gray-scale map of pictureIn the enterprising line slip window mini-value filtering of the gray-scale map of the preview image, obtain described pre-
Look at the dark primary passage of image
Wherein, the specific specific method for estimating the atmospheric environment light component A of the preview image is, by the dark primary
Passage IdarkX the pixel of () carries out brightness and sorts from high to low, take out the dark primary passage JdarkX () brightness is preceding 0.1%
Pixel；By the dark primary passage IdarkX () brightness is that preceding 0.1% pixel is corresponded on the preview image, take out described
Respective pixel on preview image；The high-high brightness of R, G, channel B is taken in corresponding pixel points on the preview image respectively
Pixel, using the R, G, the pixel of the high-high brightness of channel B brightness value as R, G, channel B atmospheric environment light point
Amount
Wherein, calculating the specific method of the transmissivity of preview image is, according to preview image I (x) and the preview image
Atmospheric environment light component A, calculates the transmissivity of the preview imageFormula be expressed as：
Wherein, modifying factor ω ∈ [0,1].
Wherein, according to preview image I (x), the transmissivity of the preview imageWith the big compression ring of the preview image
Border light component A, calculates the first fog free images J (x) of removal haze interference, and computing formula is：
Wherein, t0To specify fixed value.
Go after the completion of haze image procossing, time, place when removing haze image procossing described in acquisition module a10 collections,
Defogging processes class parameter information, by the time, place, goes haze treatment class parameter information to upload to network service
Device.The webserver obtain described in time when removing haze image procossing, place, go haze processing information, and by this it is described when
Between, place, go haze to process class parameter information to be sorted out, generate it is instant share parameter, be issued to the time point at this
Carry out taking pictures the user for the treatment of at place.Haze grade is drawn according to parameter is shared.
After the completion of image procossing, the processing module a30 is additionally operable to contrast and removes haze image graphic and original image, judges
Haze ratio and display reminding information through removing.
In addition, also include memory module a40, for storing the data message of acquisition module a10 acquisitions and/or removing haze figure
Picture and/or original image.
The embodiment of the present invention is additionally provided：A1. a kind of method for carrying out photo generation, including：
Start-up loading camera application program；
Obtain the haze air quality index information of there and then；
When the haze air quality index information reached more than threshold value or haze air quality index rank it is predetermined etc.
During level, haze image procossing entrance is removed in loading in the camera application program；
The triggering of haze image procossing entrance is gone described in detecting, grade is processed to Current camera application journey according to haze is removed
The picture data that sequence is obtained carries out haze image procossing.
A2. the method as described in A1, it is characterised in that also include, obtains the location information of mobile terminal position, according to
Conventional according to the place goes haze processing parameter or uploads the haze shared in the place by other users to process level parameters
Haze image procossing is carried out with Processing Algorithm information.
A3. the method as described in A1, it is characterised in that according to the image gone after haze image procossing, described in collection
Time, place, the defogging treatment class parameter information during haze image procossing are gone, by the time, place, goes haze to process
Class parameter information uploads to the webserver.
A4. the method as described in A3, it is characterised in that the webserver by it is described remove haze image procossing when when
Between, place, go haze processing information to be sorted out, generate it is instant share parameter, be issued to the time point enters at the place
The user of capable treatment of taking pictures.
A5. the method as described in A1, it is characterised in that obtaining the haze air quality index information of the there and then
Before, judge user present position.
A6. the method as described in A5, it is characterised in that the method for the judgement user present position includes：
Image luminance information is obtained, if described image monochrome information is more than threshold value, judges that user is in outdoor；If the figure
Image brightness information is less than threshold value, judges that user is in interior.
A7. the method as described in A5, it is characterised in that according to user present position information is judged, if user is in outdoor,
Other steps described in perform claim requirement 1；If user is in interior, haze treatment is loaded not in the camera application program
Image procossing entrance.
A8. the method as described in A1, it is characterised in that the method for removing haze image procossing includes：
Processed using going haze Processing Algorithm to carry out haze to the preview image, to obtain removal haze is disturbed the
One fog free images；
First fog free images are carried out to increase exposure treatment and Auto Laves treatment, it is fogless to strengthen described first
The display effect of image.
A9. the method as described in A8, it is characterised in that described using going the haze Processing Algorithm to carry out the preview image
Haze is gone to process, to obtain the first fog free images that removal haze is disturbed, including：
Dark primary passage extraction is carried out to preview image I (x), to obtain the dark primary passage of the preview image
Idark(x)；
Dark primary passage I according to the preview imagedarkX (), estimates the atmospheric environment light component of the preview image
A；
According to preview image I (x) and the atmospheric environment light component A of the preview image, the preview graph is calculated
Transmissivity t (x) of picture；
According to the atmospheric environment of preview image I (x), transmissivity t (x) of the preview image and the preview image
Light component A, obtains the first fog free images J (x) of removal haze interference.
A10. the method as described in A1, it is characterised in that obtaining the haze air quality index letter of the there and then
Before breath, acquisition is taken pictures preview image information, including the preview image of taking pictures haze extent index.
A11. the method as described in A10, it is characterised in that setting defogging is taken pictures threshold value, relatively described in take pictures preview image
Haze extent index, if the haze extent index exceedes threshold value, obtain the haze air quality index information；If described
Haze extent index is no more than threshold value, carries out described removing haze image procossing.
A12. the method as described in A1, it is characterised in that carry out it is described remove haze image procossing after, haze image is gone in contrast
And original image, judge to go haze ratio and display reminding information.
A13. the method as described in A12, it is characterised in that the judgement goes the method for haze ratio to include：
According to the haze intensity for going haze algorithm to estimate haze image haze intensity and original image respectively, calculate both
Divided by the haze intensity of original image after difference.
The embodiment of the present invention is additionally provided：B14. a kind of intelligent terminal, it is characterised in that including：
Acquisition module, the haze air quality index information for obtaining there and then；
Judge module, for judging whether that haze image procossing entrance is removed in loading in the camera application program；
Processing module, for detect it is described go haze image procossing entrance to trigger after, carry out haze image procossing；
The judge module is specifically for when the haze air quality index information is more than threshold value or haze air matter
When volume index rank reaches predetermined grade, haze image treatment entrance is loaded in the camera application program.
B15. the intelligent terminal as described in B14, it is characterised in that the acquisition module is additionally operable to,
Obtain the location information of the mobile terminal position；
Obtain the mobile terminal position place it is conventional go haze processing parameter；
Obtain and upload the haze shared treatment level parameters and treatment in the mobile terminal position by other users
Algorithm information；
Obtaining the mobile terminal position carries out the location information of haze image procossing；
Obtaining the mobile terminal carries out the defogging processing information of haze image procossing.
B16. the intelligent terminal as described in B14, it is characterised in that the information that the acquisition module is obtained uploads to net
Network server is stored.
B17. the intelligent terminal as described in B16, it is characterised in that the acquisition that the webserver will be stored
The information that module is obtained is sorted out, generate it is instant share parameter, be issued to the time point carries out place of taking pictures at the place
The user of reason.
B18. the intelligent terminal as described in B14, it is characterised in that the processing module is additionally operable to, according to obtaining mould
What block was obtained uploads the haze shared treatment level parameters and Processing Algorithm by other users in the mobile terminal position
Information, carries out haze image procossing.
B19. the intelligent terminal as described in B14, it is characterised in that the judge module is additionally operable to judge user place
Position.
B20. the intelligent terminal as described in B19, it is characterised in that the judge module judges position described in user
Method includes：
Image luminance information is obtained, if described image monochrome information is more than threshold value, judges that user is in outdoor；If the figure
Image brightness information is less than threshold value, judges that user is in interior.
B21. the intelligent terminal as described in B14, it is characterised in that the method for removing haze image procossing includes：
Processed using going haze Processing Algorithm to carry out haze to the preview image, to obtain removal haze is disturbed the
One fog free images；
First fog free images are carried out to increase exposure treatment and Auto Laves treatment, it is fogless to strengthen described first
The display effect of image.
B22. the intelligent terminal as described in B21, it is characterised in that described using going haze Processing Algorithm to described pre-
Image of looking at carries out haze and processes, to obtain the first fog free images that removal haze is disturbed, including：
Dark primary passage extraction is carried out to preview image I (x), to obtain the dark primary passage of the preview image
Idark(x)；
Dark primary passage I according to the preview imagedarkX (), estimates the atmospheric environment light component of the preview image
A；
According to preview image I (x) and the atmospheric environment light component A of the preview image, the preview graph is calculated
Transmissivity t (x) of picture；
According to the atmospheric environment of preview image I (x), transmissivity t (x) of the preview image and the preview image
Light component A, obtains the first fog free images J (x) of removal haze interference.
B23. the intelligent terminal as described in B14, it is characterised in that the acquisition module is additionally operable to obtaining described working as
When local haze air quality index information before, acquisition is taken pictures preview image information.
B24. the intelligent terminal as described in B23, it is characterised in that the acquisition module be additionally operable to obtain described in take pictures
The haze extent index of preview image, if the haze index exceedes threshold value, the acquisition module obtains the haze air matter
Volume index information；If the haze index is no more than threshold value, carry out described removing haze image procossing.
B25. haze is removed in the intelligent terminal as described in B14, it is characterised in that the judge module is additionally operable to, contrast
Haze ratio is gone in image and original image, judgement.
B26. the intelligent terminal as described in B14, it is characterised in that also including memory module, mould is obtained for storing
Data message and/or remove haze image and/or original image that block is obtained.
Any technical scheme disclosed in the invention described above unless otherwise stated, if it discloses number range, then
Disclosed number range is preferred number range, it is any it should be appreciated by those skilled in the art：Preferred number range
The only obvious or representative numerical value of technique effect in many enforceable numerical value.Because numerical value is more, it is impossible to
Exhaustion, so just open component values of the invention are to illustrate technical scheme, also, the above-mentioned numerical value enumerated is not
The limitation to the invention protection domain should be constituted.
If the words such as " first ", " second " are used herein to limit parts, those skilled in the art should
This knows：" first ", the use of " second " are intended merely to facilitate in description and parts are distinguished such as no Stated otherwise
Outward, above-mentioned word does not have special implication.
Meanwhile, if the invention described above is open or relate to the parts or structural member of connection fastened to each other, then, except another
There is statement outer, be fixedly connected and can be understood as：Can releasably be fixedly connected (for example use bolt or mode connects for screw), it is also possible to
It is interpreted as：Non-removable to be fixedly connected (such as rivet, weld), certainly, connection fastened to each other can also be integral type structure
(for example being manufactured using casting technique is integrally formed) replaces (substantially cannot be using except integrally formed technique).
In addition, the art for representing position relationship or shape applied in any technical scheme disclosed in the invention described above
Its implication includes approximate with its, similar or close state or shape to language unless otherwise stated.The either component that the present invention is provided
Both can be to be assembled by multiple individually parts, it is also possible to the separate part that the technique that is one of the forming is manufactured.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention rather than its limitations；To the greatest extent
Pipe has been described in detail with reference to preferred embodiment to the present invention, and those of ordinary skill in the art should be understood：Still
Specific embodiment of the invention can be modified or equivalent is carried out to some technical characteristics；Without deviating from this hair
The spirit of bright technical scheme, it all should cover in the middle of claimed technical scheme scope of the invention.
Claims (10)
1. a kind of method for carrying out photo generation, including：
Start-up loading camera application program；
Obtain the haze air quality index information of there and then；
When the haze air quality index information reaches predetermined grade more than threshold value or haze air quality index rank,
Haze image procossing entrance is removed in loading in the camera application program；
The triggering of haze image procossing entrance is gone described in detecting, Current camera application program is obtained according to going haze to process grade
The picture data for taking carries out haze image procossing.
2. method according to claim 1, it is characterised in that also include, obtains the place letter of mobile terminal position
Breath, conventional according to the place goes haze processing parameter or uploads the haze shared in the place by other users to process rank
Parameter and Processing Algorithm information carry out haze image procossing.
3. method according to claim 1, it is characterised in that according to the image gone after haze image procossing, gather
Time, place, defogging treatment class parameter information when removing haze image procossing, by the time, place, removes haze
Treatment class parameter information uploads to the webserver.
4. method according to claim 3, it is characterised in that the webserver by it is described remove haze image procossing when
Time, place, go haze processing information to be sorted out, generate it is instant share parameter, be issued to the time point in the place
Place take pictures the user for the treatment of.
5. method according to claim 1, it is characterised in that carry out it is described remove haze image procossing after, haze is removed in contrast
Haze ratio and display reminding information are gone in image and original image, judgement.
6. a kind of intelligent terminal, it is characterised in that including：
Acquisition module, the haze air quality index information for obtaining there and then；
Judge module, for judging whether that haze image procossing entrance is removed in loading in the camera application program；
Processing module, for detect it is described go haze image procossing entrance to trigger after, carry out haze image procossing；
The judge module is specifically for when the haze air quality index information refers to more than threshold value or haze air quality
When several levels do not reach predetermined grade, haze image treatment entrance is loaded in the camera application program.
7. intelligent terminal according to claim 6, it is characterised in that the information that the acquisition module is obtained is uploaded to
The webserver is stored.
8. intelligent terminal according to claim 7, it is characterised in that the webserver will store described in obtain
The information that modulus block is obtained is sorted out, generate it is instant share parameter, be issued to the time point is taken pictures at the place
The user for the treatment of.
9. intelligent terminal according to claim 6, it is characterised in that the processing module is additionally operable to, according to obtaining
What module was obtained uploads the haze shared treatment level parameters and adjustment by other users in the mobile terminal position
Method information, carries out haze image procossing.
10. intelligent terminal according to claim 6, it is characterised in that also including memory module, obtains for storing
Data message and/or remove haze image and/or original image that module is obtained.
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