CN107465912A - A kind of imaging difference detection method and device - Google Patents
A kind of imaging difference detection method and device Download PDFInfo
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- CN107465912A CN107465912A CN201610392599.7A CN201610392599A CN107465912A CN 107465912 A CN107465912 A CN 107465912A CN 201610392599 A CN201610392599 A CN 201610392599A CN 107465912 A CN107465912 A CN 107465912A
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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
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
- H04N23/676—Bracketing for image capture at varying focusing conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
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Abstract
The invention discloses a kind of imaging difference detection method, obtains the first camera device and the first image and the second image of the shooting of the second camera device respectively；Described first image and the image quality difference of the second image are contrasted, when described image quality difference exceeds predetermined threshold value, issues the user with prompting.The invention also discloses a kind of imaging difference detection means.
Description
Technical field
The present invention relates to terminal imaging technique, more particularly to a kind of imaging difference detection method and device.
Background technology
At present, increasing mobile terminal realizes rapid focus, background blurring, complete using dual camera solution
The depth of field such as is taken pictures at the function.
Either rapid focus, or large aperture function, require the image matter of two cameras shooting of mobile terminal
The indices such as amount are as far as possible close；The picture quality of two camera shooting images is closer, and accuracy of focusing and background are empty
Change and other effects is outstanding.But in actual use, based on the difference of dual camera installation site, often have wherein one
Individual camera is in the position easily touched or blocked relatively；If this camera is configured to sightless second camera of finding a view
Head, then, if this camera be blocked or camera lens on when having foreign matter covering, the image quality difference of two cameras is just
It can increase；Image quality differs greatly, will directly affect the problems such as focusing accuracy and fuzzy background blurring contour of object, enter
And influence Consumer's Experience.Based on this, whether succeed blocking and under foreign matter coverage condition, confirming that dual camera is found a view, also
It is whether two camera imaging quality are close enough, it appears particularly important.
Comparatively identification large area is blocked simply, because after large area has been blocked, exposure has significant difference, leads to
Overexposure difference is easy to judge to block, and then prompts user to check and avoid blocking camera；But currently without having
The method of effect is carried out fraction present on identification camera and blocked and foreign matter covering.
Therefore, how to block present on effective identification camera and covered with foreign matter, remind user's cleaning, reduce two and take the photograph
As head imaging difference, dual camera image quality is improved, is urgent problem to be solved.
The content of the invention
In view of this, the embodiment of the present invention it is expected to provide a kind of imaging difference detection method and device, can effectively identify and take the photograph
Block as present on head and covered with foreign matter, remind user's cleaning, so as to reduce two camera imaging differences, improve double shootings
Head image quality.
To reach above-mentioned purpose, the technical proposal of the invention is realized in this way：
The embodiments of the invention provide a kind of imaging difference detection method, methods described includes：
The first camera device and the first image and the second image of the shooting of the second camera device are obtained respectively；
Described first image and the image quality difference of the second image are contrasted, when described image quality difference is beyond default
During threshold value, prompting is issued the user with.
In such scheme, the image quality difference of the contrast described first image and the second image, including：
Contrast described first image and the picture material, and/or image definition, and/or picture contrast of the second image
Difference.
In such scheme, the difference of the picture material of the contrast described first image and the second image, including：
Described first image and the second image are divided into more than one block, contrast described first image and the second image
Correspondence position block picture material difference.
In such scheme, the difference of the picture material of the correspondence position block of the contrast described first image and the second image
It is different, including：Contrast the difference of described first image and the picture material of the second image corner areas same position block.
In such scheme, the difference of the image definition of the contrast described first image and the second image, including：Contrast
The difference of the marginal definition of object in described first image and the second image.
In such scheme, the difference of the marginal definition of object in the contrast described first image and the second image,
Including：
Using Sobel (Sobel) edge detection algorithm, the side of object in described first image and the second image is detected
Edge；
Contrast the difference of the definition at object correspondence position edge in described first image and the second image.
In such scheme, the difference of the picture contrast of the contrast described first image and the second image, including：Using
Histogram contrasts the difference of described first image and the contrast of the second image.
In such scheme, first image and second for obtaining the first camera device and the shooting of the second camera device respectively
Image, including：Obtain first camera device and the second camera device in the described first image of default focal length photographs and
Second image, or obtain the institute in the range of the default focal length difference that first camera device and second camera device are shot
State the first image and the second image.
The embodiment of the present invention additionally provides a kind of imaging difference detection means, and described device includes：Acquisition module, contrast mould
Block；Wherein,
The acquisition module, the first image shot for obtaining the first camera device, and the shooting of the second camera device
Second image；
The contrast module, for contrasting the image quality difference of described first image and the second image, when it is described into
When exceeding predetermined threshold value as mass discrepancy, prompting is issued the user with.
In such scheme, the contrast module, it is specifically used for：
Contrast described first image and the picture material, and/or image definition, and/or picture contrast of the second image
Difference.
In such scheme, the acquisition module, it is specifically used for：
First camera device and the second camera device are obtained in the described first image of default focal length photographs and the
Two images, or obtain described in the range of the default focal length difference that first camera device and second camera device are shot
First image and the second image.
The imaging difference detection method and device that the embodiment of the present invention is provided, obtain the first camera device and second respectively
The first image and the second image of camera device shooting；Described first image and the image quality difference of the second image are contrasted, when
When described image quality difference exceeds predetermined threshold value, prompting is issued the user with.In this way, it is imaged by detecting two camera devices
Difference, can effectively block present on identification camera and foreign matter covering, user's cleaning be reminded, so as to reduce two cameras
Imaging difference, improve dual camera image quality.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of imaging difference detection method of the embodiment of the present invention；
Fig. 2 is histogram contrast schematic diagram under different contrast of the embodiment of the present invention；
Fig. 3 is the composition structural representation of imaging difference detection means of the embodiment of the present invention.
Embodiment
In the embodiment of the present invention, the first camera device and the first image and second of the second camera device shooting are obtained respectively
Image；Described first image and the image quality difference of the second image are contrasted, when described image quality difference exceeds default threshold
During value, user is prompted.
Wherein, the image quality difference can be picture material difference or image in object edge it is clear
The difference of clear degree, it can also be the difference of picture contrast.
With reference to embodiment, the present invention is further described in more detail.
Imaging difference detection method provided in an embodiment of the present invention, as shown in figure 1, methods described includes：
Step 101：The first camera device and the first image and the second image of the shooting of the second camera device are obtained respectively；
Here, first camera device and the second camera device can be that dual camera terminal is located at two of homonymy and taken the photograph
As head, such as dual camera positioned at terminal back；First camera device and the second camera device can be obtained respectively same
The first image and the second image of one time shooting；
Further, because usual dual camera is configured to one to nearby focusing, one is focused to distant place, and two are taken the photograph
As head shoot image larger difference is had in the depth of field, be unfavorable for contrasting；Therefore, a detection pattern can be set, examined
The focal length of synchronous two cameras under survey pattern, makes two cameras shoot described first image and the second figure using unified focal length
Picture, it is ensured that the first image and the second image focal length are consistent, so, can avoid should be the difference of the depth of field in subsequent contrast
Deviation that is different and causing comparative result；This detection pattern can be added in user according to demand and shoot the stage before photo, avoid
Influence user's normal photographing；It can also use during normal photographing, the focus difference of two cameras falls set in advance
The described first image shot when in the range of focus difference and the second image.
Step 102：Described first image and the image quality difference of the second image are contrasted, when described image quality difference
During beyond predetermined threshold value, prompting is issued the user with；
Here it is possible to using three kinds of methods are come blocking of detecting that camera whether there is or foreign matter covers, it can be used
In one kind or the image quality difference of described first image and the second image is contrasted using its combination, and then judge that camera lens is
Blocked existing for no or foreign matter covers；Wherein, the image quality difference can be the difference or image of picture material
The difference of middle object marginal definition, can also be the difference of picture contrast.
Method 1：Picture material contrasts；
Generally, if in the case where a cam lens of dual camera terminal are covered by finger etc., two shootings
Picture material captured by head can be variant, therefore, can be detected by the method for contrast images content；Specifically,
First image of shooting and the second image can be respectively divided to more than one block, contrast the area of two image correspondence positions
Block content.Further, because the masking of large area can be detected by exposing difference, the contrast of block content can be led
It is used to the masking to small area detect；The masking of small area is normally mainly located at the corner location of image, can be from side
Angular region BOB(beginning of block) contrast, in this way, amount of calculation can be reduced as far as possible.Find that the difference of block content exceedes in default if calculated
Hold discrepancy threshold, then it is assumed that current first image and the second image are inconsistent, and one of camera there may be masking, can be with
Prompting user's cam lens have masking situation.
In practical application, some existing algorithms can be used such as：Structural similarity (SIM, Structural
SIMilarity) algorithm etc., image similarity comparison is carried out to image block content, and sets a preset content difference threshold
Value, when difference value exceeds the preset content discrepancy threshold, send and prompt to user；Due to dual camera position, camera
Individual performance equal difference is different, and the described first image and the picture material of the second image that two cameras are shot can not accomplish complete one
Cause, can count close to the described first image and the picture material difference of the second image ideally shot；Actual photographed
In may not reach this disparity range, therefore, if close to ideally picture material difference be 1%~3%, can be with
Selected 3%~5% difference value is as preset content discrepancy threshold.
Method 2：The marginal definition contrast of image object；
Generally, if in the case where camera lens has foreign matter covering, under object definition has substantially in the image of shooting
Drop, therefore, the definition of identical object in the first image and the second image can be contrasted to have detected whether that foreign matter is covered in
On camera lens；Further, in the case where camera lens has foreign matter covering, the marginal definition decline of object is the most obvious, therefore,
Can be with marginal definition of the preferred pair than identical object in the first image and the second image.
In practical application, some existing image object edge detection algorithms can be used such as：Based on rope shellfish Sobel sides
Edge detection algorithm etc., to determine the edge of the object；And two images edge is compared by marginal definition evaluation method
Definition；Wherein, definition evaluation method can use Laplce (Laplace) image clearly in edge gradient detection method
Spend algorithm etc..By setting a default definition discrepancy threshold, when the marginal definition of the first image and the second image compares
When difference exceeds the default definition discrepancy threshold, send and prompt to user, prompt user to have foreign matter covering on camera lens；
Because dual camera position, camera individual performance equal difference are different, the described first image and the second image of two camera shootings
It can not accomplish that marginal definition is completely the same, can count close to the described first image and the second image ideally shot
Marginal definition difference；This disparity range may not reached in actual photographed, therefore, if following close to ideal state
The difference of edge definition is 1%~3%, then the difference value that can select 3%~5% is used as default definition discrepancy threshold.
Method 3：Picture contrast contrasts；
Generally, if in the case where camera lens has foreign matter covering, due to block effect of the foreign matter to light, image can be caused
Contrast is decreased obviously, and this change can be embodied directly on the histogram of described first image and the second image, can be passed through
Compare histogram, prompted to judge whether that one of them has foreign matter to cover and provides user.
Specifically, picture contrast can be weighed using grey level histogram, histogram is an X-Y scheme, abscissa table
The gray level of each pixel in diagram picture, 0 to 255 ranks can be used；Ordinate is that each gray level epigraph is each
The number or probability that pixel occurs；The peak value of histogram concentrates on low side, then dark images, conversely, image is brighter；Histogram
Peak value concentrate on some region, image is dim, and objects in images and the very big image of background difference, its histogram has bimodal
Characteristic；Histogram distribution is more uniform, and picture contrast is better；For same sub-picture, if contrast declines, histogram point
Cloth can be concentrated；Histogram as shown in Fig. 2 (a) is the histogram of an original image, it can be seen that in histogram in each gray scale
Pixel distribution is more uniform, such as the histogram that Fig. 2 (b) is image after camera lens is covered by foreign matter, it can be seen that each ash in histogram
Pixel distribution is more concentrated on degree, shows that Fig. 2 (b) contrast is relatively low；By the Nogata for contrasting the first image and the second image
Figure, if it find that wherein pixel distribution is more concentrated in each gray scale on a histogram, then may determine that the picture contrast compared with
It is low, there may be foreign matter covering corresponding to the image in camera head lens；One contrast discrepancy threshold can be set here, when
When the histogram difference of first image and the second image exceeds the contrast discrepancy threshold, it is determined that corresponding to a wherein image
There may be foreign matter covering on camera lens, issue the user with prompting；Here, the contrast difference can be being evenly distributed for histogram
The difference of degree；Because dual camera position, camera individual performance equal difference are different, the described first image of two camera shootings
It can not accomplish that contrast is completely the same with the picture contrast of the second image, can count described close to ideally shooting
The difference of first image and the second picture contrast, such as 1%~3%；This disparity range may not reached in actual photographed, because
This, if the difference close to ideally contrast is 1%~3%, can select 3%~5% difference value as pre-
If contrast discrepancy threshold.
Using the one or more in the control methods of above-mentioned three kinds of picture quality, it may be determined that whether in dual camera
Whether one camera image quality declines, and shows to block present on camera if declining or foreign matter covering needs clearly
Reason.
Imaging difference detection means provided in an embodiment of the present invention, as shown in figure 3, described device includes：Obtain 31, contrast
Module 32；Wherein,
The acquisition module 31, for obtaining the first image of the first camera device shooting, and the shooting of the second camera device
The second image；
Here, first camera device and the second camera device can be that dual camera terminal is located at two of homonymy and taken the photograph
As head, such as dual camera positioned at terminal back；First camera device and the second camera device can be obtained respectively same
The first image and the second image of one time shooting；
Further, because usual dual camera is configured to one to nearby focusing, one is focused to distant place, and two are taken the photograph
As head shoot image larger difference is had in the depth of field, be unfavorable for contrasting；Therefore, a detection pattern can be set, examined
The focal length of synchronous two cameras under survey pattern, makes two cameras shoot described first image and the second figure using unified focal length
Picture, it is ensured that the first image and the second image focal length are consistent, so, can avoid should be the difference of the depth of field in subsequent contrast
Deviation that is different and causing comparative result；This detection pattern can be added in user according to demand and shoot the stage before photo, avoid
Influence user's normal photographing；It can also use during normal photographing, the focus difference of two cameras falls set in advance
The described first image shot when in the range of focus difference and the second image.
The contrast module 32, for contrasting the image quality difference of described first image and the second image, when described
When image quality difference exceeds predetermined threshold value, prompting is issued the user with；
Here it is possible to using three kinds of methods are come blocking of detecting that camera whether there is or foreign matter covers, it can be used
In one kind or the image quality difference of described first image and the second image is contrasted using its combination, and then judge that camera lens is
Blocked existing for no or foreign matter covers；Wherein, the image quality difference can be the difference or image of picture material
The difference of middle object marginal definition, can also be the difference of picture contrast.
Method 1：Picture material contrasts；
Generally, if in the case where a cam lens of dual camera terminal are covered by finger etc., two shootings
Picture material captured by head can be variant, therefore, can be detected by the method for contrast images content；Specifically,
First image of shooting and the second image can be respectively divided to more than one block, contrast the area of two image correspondence positions
Block content.Further, because the masking of large area can be detected by exposing difference, the contrast of block content can be led
It is used to the masking to small area detect；The masking of small area is normally mainly located at the corner location of image, can be from side
Angular region BOB(beginning of block) contrast, in this way, amount of calculation can be reduced as far as possible.Find that the difference of block content exceedes in default if calculated
Hold discrepancy threshold, then it is assumed that current first image and the second image are inconsistent, and one of camera there may be masking, can be with
Prompting user's cam lens have masking situation.
In practical application, some existing algorithms can be used such as：SIM algorithms etc., image is carried out to image block content
Similarity-rough set, and set a preset content discrepancy threshold, when difference value exceeds the preset content discrepancy threshold, Xiang Yong
Family sends prompting；Because dual camera position, camera individual performance equal difference are different, the described first image of two camera shootings
It can not accomplish with the picture material of the second image completely the same, can count close to the described first image that ideally shoots
With the picture material difference of the second image；This disparity range may not reached in actual photographed, therefore, if close to preferable shape
Condition hypograph content deltas is 1%~3%, then can select 3%~5% difference value as preset content discrepancy threshold.
Method 2：The marginal definition contrast of image object；
Generally, if in the case where camera lens has foreign matter covering, under object definition has substantially in the image of shooting
Drop, therefore, the definition of identical object in the first image and the second image can be contrasted to have detected whether that foreign matter is covered in
On camera lens；Further, in the case where camera lens has foreign matter covering, the marginal definition decline of object is the most obvious, therefore,
Can be with marginal definition of the preferred pair than identical object in the first image and the second image.
In practical application, some existing image object edge detection algorithms can be used such as：Based on Sobel rim detections
Algorithm etc., to determine the edge of the object；And two images marginal definition is compared by marginal definition evaluation method；
Wherein, definition evaluation method can use Laplace image definition algorithms in edge gradient detection method etc..Pass through setting
One default definition discrepancy threshold, when the marginal definition comparing difference of the first image and the second image is beyond described default clear
During clear degree discrepancy threshold, send and prompt to user, prompt user to have foreign matter covering on camera lens；Due to dual camera position,
Camera individual performance equal difference is different, and the described first image and the second image that two cameras are shot can not accomplish marginal definition
It is completely the same, it can count close to the described first image and the difference of the marginal definition of the second image ideally shot
It is different；This disparity range may not reached in actual photographed, therefore, if the difference close to ideally marginal definition is
1%~3%, then the difference value that can select 3%~5% is used as default definition discrepancy threshold.
Method 3：Picture contrast contrasts；
Generally, if in the case where camera lens has foreign matter covering, due to block effect of the foreign matter to light, image can be caused
Contrast is decreased obviously, and this change can be embodied directly on the histogram of described first image and the second image, can be passed through
Compare histogram, prompted to judge whether that one of them has foreign matter to cover and provides user.
Specifically, picture contrast can be weighed using grey level histogram；Histogram is an X-Y scheme, abscissa table
The gray level of each pixel in diagram picture, 0 to 255 ranks can be used；Ordinate is that each gray level epigraph is each
The number or probability that pixel occurs；The peak value of histogram concentrates on low side, then dark images, conversely, image is brighter；Histogram
Peak value concentrate on some region, image is dim；Objects in images and the very big image of background difference, its histogram has bimodal
Characteristic；Histogram distribution is more uniform, and picture contrast is better；For same sub-picture, if contrast declines, histogram point
Cloth can be concentrated；Histogram as shown in Fig. 2 (a) is the histogram of an original image, it can be seen that in histogram in each gray scale
Pixel distribution is more uniform, such as the histogram that Fig. 2 (b) is image after camera lens is covered by foreign matter, it can be seen that each ash in histogram
Pixel distribution is more concentrated on degree, shows that Fig. 2 (b) contrast is relatively low；By the Nogata for contrasting the first image and the second image
Figure, if it find that wherein pixel distribution is more concentrated in each gray scale on a histogram, then may determine that the picture contrast compared with
It is low, there may be foreign matter covering corresponding to the image in camera head lens；One contrast discrepancy threshold can be set here, when
When the histogram difference of first image and the second image exceeds the contrast discrepancy threshold, it is determined that corresponding to a wherein image
There may be foreign matter covering on camera lens, issue the user with prompting；Here, the contrast difference can be being evenly distributed for histogram
The difference of degree；Because dual camera position, camera individual performance equal difference are different, the described first image of two camera shootings
It can not accomplish that contrast is completely the same with the picture contrast of the second image, can count described close to ideally shooting
The difference of first image and the second picture contrast, such as 1%~3%；This disparity range may not reached in actual photographed, because
This, if the difference close to ideally contrast is 1%~3%, can select 3%~5% difference value as pre-
If contrast discrepancy threshold.
Using the one or more in the control methods of above-mentioned three kinds of picture quality, it may be determined that whether in dual camera
Whether one camera image quality declines, and shows to block present on camera if declining or foreign matter covering needs clearly
Reason.
In actual applications, it is described obtain 31 can be by terminal camera device combination central processing unit (CPU), microprocessor
Device (MPU), digital signal processor (DSP) or field programmable gate array (FPGA) etc. are realized；The contrast module 32
To be realized by CPU, MPU, DSP or FPGA of terminal etc..
Described above, only highly preferred embodiment of the present invention is not intended to limit the scope of the present invention, it is all
All any modification, equivalent and improvement made within the spirit and principles in the present invention etc., it should be included in the protection of the present invention
Within the scope of.
Claims (11)
1. a kind of imaging difference detection method, it is characterised in that methods described includes：
The first camera device and the first image and the second image of the shooting of the second camera device are obtained respectively；
Described first image and the image quality difference of the second image are contrasted, when described image quality difference exceeds predetermined threshold value
When, issue the user with prompting.
2. according to the method for claim 1, it is characterised in that the imaging of the contrast described first image and the second image
Mass discrepancy, including：
Contrast described first image and the picture material, and/or image definition of the second image, and/or the difference of picture contrast
It is different.
3. according to the method for claim 2, it is characterised in that the image of the contrast described first image and the second image
The difference of content, including：
Described first image and the second image are divided into more than one block, contrast pair of described first image and the second image
Answer the difference of the picture material of position block.
4. according to the method for claim 3, it is characterised in that the contrast described first image and the correspondence of the second image
The difference of the picture material of position block, including：Contrast described first image and the second image corner areas same position block
Picture material difference.
5. according to the method for claim 2, it is characterised in that the image of the contrast described first image and the second image
The difference of definition, including：Contrast the difference of the marginal definition of object in described first image and the second image.
6. according to the method for claim 5, it is characterised in that be shot in the contrast described first image and the second image
The difference of the marginal definition of thing, including：
Using Sobel Sobel edge detection algorithms, the edge of object in described first image and the second image is detected；
Contrast the difference of the definition at object correspondence position edge in described first image and the second image.
7. according to the method for claim 2, it is characterised in that the image of the contrast described first image and the second image
The difference of contrast, including：The difference of described first image and the contrast of the second image is contrasted using histogram.
8. according to the method described in any one of claim 1 to 7, it is characterised in that it is described obtain respectively the first camera device and
The first image and the second image of second camera device shooting, including：Obtain first camera device and the second camera device
In the described first image and the second image of default focal length photographs, or obtain first camera device and second shooting
Described first image and the second image in the range of the default focal length difference of device shooting.
9. a kind of imaging difference detection means, it is characterised in that described device includes：Acquisition module, contrast module；Wherein,
The acquisition module, for obtaining the first image of the first camera device shooting, and the second of the shooting of the second camera device
Image；
The contrast module, for contrasting the image quality difference of described first image and the second image, when described imaging matter
When amount difference exceeds predetermined threshold value, prompting is issued the user with.
10. device according to claim 9, it is characterised in that the contrast module, be specifically used for：
Contrast described first image and the picture material, and/or image definition of the second image, and/or the difference of picture contrast
It is different.
11. the device according to claim 9 or 10, it is characterised in that the acquisition module, be specifically used for：
Obtain the described first image and the second figure of first camera device and the second camera device in default focal length photographs
Picture, or obtain first camera device and second camera device shooting default focal length difference in the range of described first
Image and the second image.
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| CN201610392599.7A CN107465912A (en) | 2016-06-03 | 2016-06-03 | A kind of imaging difference detection method and device |
| PCT/CN2016/105783 WO2017206444A1 (en) | 2016-06-03 | 2016-11-14 | Method and device for detecting imaging difference, and computer storage medium |
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