CN104202448A - System and method for solving shooting brightness unevenness of mobile terminal camera - Google Patents
System and method for solving shooting brightness unevenness of mobile terminal camera Download PDFInfo
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- CN104202448A CN104202448A CN201410480572.4A CN201410480572A CN104202448A CN 104202448 A CN104202448 A CN 104202448A CN 201410480572 A CN201410480572 A CN 201410480572A CN 104202448 A CN104202448 A CN 104202448A
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Abstract
The invention discloses a system and a method for solving shooting brightness unevenness of a mobile terminal camera. The method includes: setting a lamp box light source, shooting the screen of a lamp box with the mobile terminal camera to serve as a standard template; using an image analyzing module to analyze the standard template, and extracting all the pixels of the standard template; using an image processing module to save all the pixels of the standard template, respectively calculating the gray value of the corresponding pixel, and recording the gray values of all the pixels of the standard template; using the camera to perform normal shooting, transmitting the shot picture into the image analyzing module, and extracting all the pixels of the picture; using the image processing module to perform comparison calculation on the gray values of the all the pixels of the picture and the gray values of the all the pixels of the standard template, and optimizing the pixel points, whose angular point lowest brightness values are not in the angular point lowest brightness value range, in the normally-shot picture to complete picture processing. By the method, the shooting brightness unevenness of the mobile terminal camera is eliminated effectively.
Description
Technical field
The present invention relates to the processing method of taking pictures, a kind of concrete take pictures method of brightness disproportionation of mobile terminal camera that solves.
Background technology
Nowadays, intelligent mobile terminal possesses camera function already, and the performance of taking pictures of lifting mobile terminal how has become an important indicator of restriction mobile terminal sales volume and customer experience.In present conventional design; want to promote the ability of taking pictures; a lot of mobile terminal design company is all the pixel of simple raising camera body; by the 5M camera starting; 13M camera till now, then when hardware designs for the cabling insulation blocking in addition again of camera partial circuit.But along with getting more and more of mobile terminal function; becoming increasingly complex of hardware circuit module; in limited mobile terminal pcb board space; it is more and more difficult that the insulation blocking of camera module circuit part becomes; inevitably can there is the noise jamming of other circuit modules to camera module; or the restriction due to camera itself or mobile phone assembly technology; in manufacturing process; some tiny particulate can be fallen on the eyeglass of camera; while making to take pictures, occur that lightness is inhomogeneous, even occur the problem of stain.
Summary of the invention
The object of the present invention is to provide a kind of mobile terminal camera take pictures system and method thereof of brightness disproportionation of solving, by in mobile terminal inside, image analysis module, image processing module being set, and use the take pictures method of brightness disproportionation of solution mobile terminal camera provided by the invention; Can effectively eliminate the brightness disproportionation problem of mobile terminal camera in shooting process.
In order to achieve the above object, the present invention is achieved through the following technical solutions:
Solve the take pictures system of brightness disproportionation of mobile terminal camera, be characterized in, this system comprises:
Camera, is arranged on mobile terminal inside;
Image analysis module, is arranged on mobile terminal inside, is connected with above-mentioned camera;
Image processing module, is arranged on mobile terminal inside, is connected with above-mentioned image analysis module;
Display screen, is arranged on mobile terminal inside, is connected with above-mentioned image processing module.
Solve the take pictures method of brightness disproportionation of mobile terminal camera, be characterized in, the method comprises following steps:
S1, arranges lamphouse light source, the camera of mobile terminal is aimed to the screen of above-mentioned lamp box and is taken pictures as standard form;
S2, image analysis module is analyzed above-mentioned standard form, extracts all pixels of this standard form;
S3, image processing module is preserved all pixels of standard form, calculates respectively the gray value of corresponding pixel points, and the gray value of all pixels of record standard template;
S4, above-mentioned camera carries out normal photographing, imports the photo after taking into above-mentioned image analysis module, and extracts all pixels of photo;
S5, above-mentioned image processing module is by carrying out comparing calculation by all pixel gray values of all pixel gray values of above-mentioned photo and above-mentioned standard form, optimize in normal photographing photo the not pixel within angle point minimum brightness value critical field of angle point minimum brightness value, complete picture processing.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, above-mentioned step S1 comprises following steps:
S1.1, lamphouse light source is set to white light, by the brightness regulation of lamphouse light source to maximum brightness.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, in above-mentioned step S1, the screen shot that camera is taken as standard form is whole white photo.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, above-mentioned step S2 comprises following steps:
S2.1, angle point minimum brightness value critical field corresponding to each pixel that above-mentioned image analysis module is set is 0%-100%;
S2.2, this image analysis module is extracted in above-mentioned standard form not m pixel in the angle point minimum brightness value critical field of setting, and extracts n of the residue pixel in the angle point minimum brightness value critical field of setting.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, above-mentioned step S3 comprises following steps:
S3.1, above-mentioned image processing module calculates m pixel gray value F1 in above-mentioned standard form:
F1=f1(x)，x=1,2,…,m-1,m；
S3.2, this image processing module calculates the average gray value G of n pixel:
S3.3, this image processing module is preserved m pixel gray value F1 of above-mentioned standard form, the average gray value G of a n pixel.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, above-mentioned step S4 comprises following steps:
S4.1, m pixel in the above-mentioned photo of correspondence position in above-mentioned image analysis module extraction and above-mentioned standard form,
S4.2, this image analysis module extract with above-mentioned standard form in n pixel in the above-mentioned photo of correspondence position,
S4.3, this image analysis module is sent to m pixel, a n pixel in above-mentioned image processing module respectively.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, above-mentioned step S5 comprises following steps:
S5.1, above-mentioned image processing module calculates m pixel gray value in above-mentioned photo:
F2=f2（x），x=1,2,…,m-1,m；
S5.2, m pixel gray value in above-mentioned photo after this image processing module calculation optimization:
F（x）=F2-F1+G，x=1,2,…,m-1,m；
S5.3, above-mentioned photo, after m pixel gray value of this image processing module optimization process, is presented at above-mentioned photo in above-mentioned display screen.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, after execution step S2.2, returns to execution step S1 to step S2, again takes and forms a plurality of standard forms.
The take pictures method of brightness disproportionation of above-mentioned solution mobile terminal camera, is characterized in, again takes and forms after a plurality of standard forms, also comprises following steps:
S6, above-mentioned image analysis module is set and returned to execution step S1 be Z time to S2 number of step, and record returns and performs step S1 to S2 number of step, when returning, performs step S1 and during over Z time, performs step S7 to S2 number of step;
S7, above-mentioned image analysis module adopts statistical method, extracts Z and opens in standard form, and not m pixel in the angle point minimum brightness critical field of setting, and extraction remains n the pixel in the angle point minimum brightness value critical field of setting; Carry out above-mentioned step S3.
The present invention compared with prior art has the following advantages:
The present invention can combine actual photographed with standard form, by image analysis module, image processing module, optimize shooting effect.
The present invention can search the bad point of standard form by repeatedly taking pictures, and calculates the distribution probability of bad point by statistical method, improves the accuracy of standard form, makes actual result of taking pictures more excellent.
The present invention is without changing the higher camera of pixel, or the better camera group of manufacture craft, the cost of manufacture of having saved mobile terminal.
Accompanying drawing explanation
Fig. 1 is a kind of take pictures overall structure schematic diagram of system of brightness disproportionation of mobile terminal camera that solves of the present invention.
Fig. 2 is a kind of take pictures overall flow figure of method of brightness disproportionation of mobile terminal camera that solves of the present invention.
Fig. 3 is a kind of take pictures embodiment schematic diagram of method of brightness disproportionation of mobile terminal camera that solves of the present invention.
Embodiment
Below in conjunction with accompanying drawing, by describing a preferably specific embodiment in detail, the present invention is further elaborated.
As shown in Figure 1, a kind of take pictures system of brightness disproportionation of mobile terminal camera that solves, this system comprises: the camera 10 that is arranged on mobile terminal inside; Be arranged on mobile terminal inside, the image analysis module 20 being connected with camera 10; Be arranged on mobile terminal inside, the image processing module 30 being connected with image analysis module 20; And be arranged on mobile terminal inside, the display screen 40 being connected with image processing module 30.
As shown in Figure 2, a kind of take pictures method of brightness disproportionation of mobile terminal camera that solves, the method comprises following steps:
S1, arranges lamphouse light source, and the screen that the camera of mobile terminal 10 is aimed to above-mentioned lamp box is taken pictures as standard form.This step comprises following steps:
S1.1, lamphouse light source is set to white light, by the brightness regulation of lamphouse light source to maximum brightness.
In the present embodiment, adopt DNP lamp box that lamphouse light source is set.In the present invention, the screen shot that camera 10 is taken as standard form is whole white photo.
As shown in Figure 3, adopt this figure as standard form in the present embodiment, from this figure, can illustrate, four angle colors of picture are relatively dark.
S2,20 pairs of above-mentioned standard forms of image analysis module are analyzed, and extract all pixels of this standard form.This step comprises following steps:
S2.1, angle point minimum brightness value critical field corresponding to each pixel that image analysis module 20 is set is: 0%-100%; Also be 0≤Corner: worst≤100%.
In the present invention, can be according to actual conditions, when there is extra high requirement the even aspect of brightness, also can reduced image vegetarian refreshments brightness value critical field, improve normal photographing photo effect of optimization.
S2.2, this image analysis module 20 is extracted in above-mentioned standard form not m pixel in the angle point minimum brightness value critical field of setting, and extracts n of the residue pixel in the angle point minimum brightness value critical field of setting.
S3, image processing module 30 is preserved all pixels of standard form, calculates respectively the gray value of corresponding pixel points, and the gray value of all pixels of record standard template.This step comprises following steps:
S3.1, image processing module 30 calculates m pixel gray value F1 in standard form:
F1=f1(x)，x=1,2,…,m-1,m；
S3.2, this image processing module 30 calculates the average gray value G of n pixel:
，y=1,2,…,n-1,n；
S3.3, this image processing module 30 is preserved m pixel gray value F1, the average gray value G of a n pixel of standard form.
S4, camera 10 carries out normal photographing, imports the photo after taking into image analysis module 20, and extracts all pixels of photo.This step comprises following steps:
In this step, in the photo of normal photographing, image is being mingled with the situation of brightness disproportionation.
S4.1, m pixel in the photo of correspondence position in image analysis module 20 extractions and standard form.
S4.2, n pixel in the photo of correspondence position in these image analysis module 20 extractions and standard form.
S4.3, this image analysis module 20 is sent to m pixel, a n pixel in image processing module 30 respectively.
S5, image processing module 30 is by carrying out comparing calculation by all pixel gray values of all pixel gray values of photo and standard form, optimize in normal photographing photo the not pixel within angle point minimum brightness value critical field of angle point minimum brightness value, complete picture processing.This step comprises following steps:
S5.1, image processing module 30 calculates m pixel gray value in photo:
F2=f2（x），x=1,2,…,m-1,m；
S5.2, m pixel gray value in above-mentioned photo after these image processing module 30 calculation optimizations:
F（x）=F2-F1+G，x=1,2,…,m-1,m；
S5.3, photo, after this image processing module 30 optimization process m pixel gray value, is presented at upper photo in display screen 40.
In step S1, standard form is that people is that the mode of taking pictures is obtained, and can not avoid the problem due to individual operation technique and the custom of taking pictures, and introduces human error.
Therefore, after execution step S2.2, return to execution step S1 to step S2, again take and form a plurality of standard forms.
Meanwhile, again take and form after a plurality of standard forms, also comprise following steps:
S6, image analysis module 20 is set and returned to execution step S1 be Z time to S2 number of step, and record returns and performs step S1 to S2 number of step, when returning, performs step S1 and during over Z time, performs step S7 to S2 number of step.
In this step, can repeatedly again take and form a plurality of standard forms by same person, also can different people repeatedly again take and form a plurality of standard forms.
S7, image analysis module 20 adopts statistical method, extracts Z and opens in standard form, and not m pixel in the angle point minimum brightness critical field of setting, and extraction remains n the pixel in the angle point minimum brightness value critical field of setting; Carry out subsequently above-mentioned step S3.
In the present embodiment, extracted altogether m*Z pixel, employing statistical method is: in m*Z pixel, the occurrence number of carrying out to same pixel point sorts from more to less, finally select m the pixel that occurrence number is maximum, as m the pixel in the angle point minimum brightness critical field of not setting of final extraction.
Although content of the present invention has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.Those skilled in the art, read after foregoing, for multiple modification of the present invention with to substitute will be all apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (10)
1. solve the take pictures system of brightness disproportionation of mobile terminal camera, it is characterized in that, this system comprises:
Camera (10), is arranged on mobile terminal inside;
Image analysis module (20), is arranged on mobile terminal inside, is connected with described camera (10);
Image processing module (30), is arranged on mobile terminal inside, is connected with described image analysis module (20);
Display screen (40), is arranged on mobile terminal inside, is connected with described image processing module (30).
2. solve the take pictures method of brightness disproportionation of mobile terminal camera, it is characterized in that, the method comprises following steps:
S1, arranges lamphouse light source, the camera of mobile terminal (10) is aimed to the screen of described lamp box and is taken pictures as standard form;
S2, image analysis module (20) is analyzed described standard form, extracts all pixels of this standard form;
S3, image processing module (30) is preserved all pixels of standard form, calculates respectively the gray value of corresponding pixel points, and the gray value of all pixels of record standard template;
S4, described camera (10) carries out normal photographing, imports the photo after taking into described image analysis module (20), and extracts all pixels of photo;
S5, described image processing module (30) is by carrying out comparing calculation by all pixel gray values of all pixel gray values of described photo and described standard form, optimize in normal photographing photo the not pixel within angle point minimum brightness value critical field of angle point minimum brightness value, complete picture processing.
3. the solution mobile terminal camera as claimed in claim 2 method of brightness disproportionation of taking pictures, is characterized in that, described step S1 comprises following steps:
S1.1, lamphouse light source is set to white light, by the brightness regulation of lamphouse light source to maximum brightness.
4. the solution mobile terminal camera as claimed in claim 2 method of brightness disproportionation of taking pictures, is characterized in that, in described step S1, the screen shot that camera (10) is taken as standard form is whole white photo.
5. the solution mobile terminal camera as claimed in claim 3 method of brightness disproportionation of taking pictures, is characterized in that, described step S2 comprises following steps:
S2.1, angle point minimum brightness value critical field corresponding to each pixel that described image analysis module (20) is set is 0%-100%;
S2.2, this image analysis module (20) is extracted in described standard form not m pixel in the angle point minimum brightness value critical field of setting, and extracts n of the residue pixel in the angle point minimum brightness value critical field of setting.
6. the solution mobile terminal camera as claimed in claim 5 method of brightness disproportionation of taking pictures, is characterized in that, described step S3 comprises following steps:
S3.1, described image processing module (30) calculates m pixel gray value F1 in described standard form:
F1=f1(x)，x=1,2,…,m-1,m；
S3.2, this image processing module (30) calculates the average gray value G of n pixel:
?，y=1,2,…,n-1,n；
S3.3, this image processing module (30) is preserved m pixel gray value F1, the average gray value G of a n pixel of described standard form.
7. the solution mobile terminal camera as claimed in claim 6 method of brightness disproportionation of taking pictures, is characterized in that, described step S4 comprises following steps:
S4.1, described image analysis module (20) extract with described standard form in m pixel in the described photo of correspondence position,
S4.2, this image analysis module (20) extract with described standard form in n pixel in the described photo of correspondence position,
S4.3, this image analysis module (20) is sent to m pixel, a n pixel respectively in described image processing module (30).
8. the solution mobile terminal camera as claimed in claim 7 method of brightness disproportionation of taking pictures, is characterized in that, described step S5 comprises following steps:
S5.1, described image processing module (30) calculates m pixel gray value in described photo:
F2=f2（x），x=1,2,…,m-1,m；
S5.2, m pixel gray value in described photo after this image processing module (30) calculation optimization:
F（x）=F2-F1+G，x=1,2,…,m-1,m；
S5.3, described photo, after optimization process m pixel gray value of this image processing module (30), is presented at described photo in described display screen (40).
9. the solution mobile terminal camera as claimed in claim 5 method of brightness disproportionation of taking pictures, is characterized in that, after execution step S2.2, returns to execution step S1 to step S2, again takes and forms a plurality of standard forms.
10. the solution mobile terminal camera as claimed in claim 9 method of brightness disproportionation of taking pictures, is characterized in that, again takes and forms after a plurality of standard forms, also comprises following steps:
S6, described image analysis module (20) is set and to be returned to execution step S1 be Z time to S2 number of step, and record returns and performs step S1 to S2 number of step, when returning, performs step S1 and during over Z time, performs step S7 to S2 number of step;
S7, described image analysis module (20) adopts statistical method, extracts Z and opens in standard form, and not m pixel in the angle point minimum brightness critical field of setting, and extraction remains n the pixel in the angle point minimum brightness value critical field of setting; Carry out described step S3.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105042399A (en) * | 2015-07-30 | 2015-11-11 | 苏州玄禾物联网科技有限公司 | Image-analysis-based desk lamp brightness self-adaptive adjustment method |
| CN105868771A (en) * | 2016-03-22 | 2016-08-17 | 维沃移动通信有限公司 | Mobile terminal-based cross stripe image recognition method and mobile terminal |
| CN107529056A (en) * | 2016-06-22 | 2017-12-29 | 北京疯景科技有限公司 | Camera lens luminosity response degree method of testing, apparatus and system |
| CN108451501A (en) * | 2018-02-01 | 2018-08-28 | 福建师范大学 | A kind of nevus flammeus color and area appraisal procedure based on pixel analysis |
| CN109201626A (en) * | 2018-08-01 | 2019-01-15 | 佛山市佛大华康科技有限公司 | A kind of bird's nest defeathering equipment |
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| CN113179364A (en) * | 2021-04-26 | 2021-07-27 | 上海大学 | Image brightness calibration method for endoscope imaging |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102629967A (en) * | 2012-04-18 | 2012-08-08 | 山东神思电子技术股份有限公司 | Correction method for non-uniform illumination of copying device |
| CN103927955A (en) * | 2014-05-04 | 2014-07-16 | 镇江奇胜软件科技有限公司 | Image correction method of camera |
-
2014
- 2014-09-19 CN CN201410480572.4A patent/CN104202448A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102629967A (en) * | 2012-04-18 | 2012-08-08 | 山东神思电子技术股份有限公司 | Correction method for non-uniform illumination of copying device |
| CN103927955A (en) * | 2014-05-04 | 2014-07-16 | 镇江奇胜软件科技有限公司 | Image correction method of camera |
Cited By (8)
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|---|---|---|---|---|
| CN105042399A (en) * | 2015-07-30 | 2015-11-11 | 苏州玄禾物联网科技有限公司 | Image-analysis-based desk lamp brightness self-adaptive adjustment method |
| CN105868771A (en) * | 2016-03-22 | 2016-08-17 | 维沃移动通信有限公司 | Mobile terminal-based cross stripe image recognition method and mobile terminal |
| CN105868771B (en) * | 2016-03-22 | 2019-10-15 | 维沃移动通信有限公司 | A kind of horizontal stripe image recognition methods and mobile terminal based on mobile terminal |
| CN107529056A (en) * | 2016-06-22 | 2017-12-29 | 北京疯景科技有限公司 | Camera lens luminosity response degree method of testing, apparatus and system |
| CN108451501A (en) * | 2018-02-01 | 2018-08-28 | 福建师范大学 | A kind of nevus flammeus color and area appraisal procedure based on pixel analysis |
| CN109201626A (en) * | 2018-08-01 | 2019-01-15 | 佛山市佛大华康科技有限公司 | A kind of bird's nest defeathering equipment |
| CN111739012A (en) * | 2020-06-30 | 2020-10-02 | 重庆盛泰光电有限公司 | Camera module white spot detecting system based on turntable |
| CN113179364A (en) * | 2021-04-26 | 2021-07-27 | 上海大学 | Image brightness calibration method for endoscope imaging |
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Application publication date: 20141210 |