CN106060420B - A kind of solution camera overexposure and under-exposure method and mobile terminal - Google Patents
A kind of solution camera overexposure and under-exposure method and mobile terminal Download PDFInfo
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- CN106060420B CN106060420B CN201610516547.6A CN201610516547A CN106060420B CN 106060420 B CN106060420 B CN 106060420B CN 201610516547 A CN201610516547 A CN 201610516547A CN 106060420 B CN106060420 B CN 106060420B
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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
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
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Abstract
The embodiment of the invention discloses a kind of solution camera overexposure and under-exposure method and mobile terminals, wherein this method comprises: target white Gaussian noise is added into camera sensing device；Camera by the way that the target white Gaussian noise is added shoots target scene, to obtain the first image, wherein the light intensity range of the target scene exceeds the standard responding range of the camera.Implement the embodiment of the present invention, the standard responding range of camera can be increased.
Description
Technical field
The present invention relates to mobile communication terminal technical field more particularly to a kind of solution camera overexposure and under-exposure sides
Method and mobile terminal.
Background technique
Camera sensing device has standard responding range, when standard of the light intensity in camera sensing device for entering mirror
When within responding range, camera sensing device could normal imaging.If the light intensity for being input to camera is higher than camera shooting
The maximum value of head sensor standard responding range, then camera will appear overexposure phenomenon, if being input to the light of camera
Line intensity is lower than the minimum value of standard responding range, then camera will appear under-exposure phenomenon.
For example, the standard responding range of camera sensing device is [65,1024], if the light for being input to camera is strong
Degree is by after modulus AD conversion pixel, the pixel higher than 1024 will appear as overexposure, and the pixel lower than 65 will appear as
It is under-exposure.
Currently, the overexposure and under-exposure problem for camera can solve camera by adjusting aperture or shutter
Overexposure or under-exposure phenomenon.But adjusting aperture or shutter not can increase the standard dynamic response of camera sensing device
Range adjusts aperture or shutter while solving overexposure phenomenon, may make normally partially to occur originally under-exposure existing
As.
Summary of the invention
The embodiment of the invention discloses a kind of solution camera overexposure and under-exposure method and mobile terminals, can increase
The standard responding range of camera.
First aspect of the embodiment of the present invention discloses a kind of solution camera overexposure and under-exposure method, comprising:
Target white Gaussian noise is added into camera sensing device；
Camera by the way that the target white Gaussian noise is added shoots target scene, to obtain the first figure
Picture, wherein the light intensity range of the target scene exceeds the standard responding range of the camera.
Second aspect of the embodiment of the present invention discloses a kind of mobile terminal, comprising:
Adding unit, for target white Gaussian noise to be added into camera sensing device；
Shooting unit shoots target scene for the camera by the way that target white Gaussian noise is added, to obtain
Obtain the first image, wherein the light intensity range of the target scene exceeds the standard dynamic response model of the camera
It encloses.
In the embodiment of the present invention, target white Gaussian noise is added into camera sensing device for mobile terminal, and passes through addition
The camera of the target white Gaussian noise shoots target scene, to obtain the first image.As it can be seen that the embodiment of the present invention
Target white Gaussian noise is added in camera, the standard responding range of camera can be increased, to make camera can be with
Larger range of light intensity in target scene is responded, to solve the problems, such as camera overexposure and under exposed.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram for solving camera overexposure and under-exposure method disclosed by the embodiments of the present invention；
Fig. 1 (a) is a kind of signal that visualization slider bar is shown on smart phone screen disclosed by the embodiments of the present invention
Figure；
Fig. 1 (b) is that a kind of different mean variances disclosed by the embodiments of the present invention compare analogous diagram；
Fig. 1 (c) is that another different mean variances disclosed by the embodiments of the present invention compare analogous diagram；
Fig. 1 (d) is that another different mean variances disclosed by the embodiments of the present invention compare analogous diagram；
Fig. 1 (e) is a kind of camera input and output analogous diagram disclosed by the embodiments of the present invention；
Fig. 2 is another process signal for solving camera overexposure and under-exposure method disclosed by the embodiments of the present invention
Figure；
Fig. 3 is a kind of structural schematic diagram of mobile terminal disclosed by the embodiments of the present invention；
Fig. 4 is the structural schematic diagram of another mobile kind of terminal disclosed by the embodiments of the present invention；
Fig. 5 is the structural schematic diagram of another mobile terminal disclosed by the embodiments of the present invention；
Fig. 6 is the structural schematic diagram of another mobile terminal disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be noted that the term used in embodiments of the present invention is only merely for the mesh of description specific embodiment
, it is not intended to limit the invention." the one of the embodiment of the present invention and singular used in the attached claims
Kind ", " described " and "the" are also intended to including most forms, unless the context clearly indicates other meaning.It is also understood that this
Term "and/or" used herein refers to and includes one or more associated any or all possible group for listing project
It closes.
The embodiment of the invention discloses a kind of solution camera overexposure and under-exposure method and mobile terminals, can increase
The standard responding range of camera.It is described in detail separately below.
The embodiment of the present invention can be applied to following application scenarios: with configured with camera smart phone to target field
When scape is taken pictures, if the light intensity of target scene has exceeded the standard responding range of camera, smart phone meeting
White Gaussian noise is added on camera, and is taken pictures with the camera that white Gaussian noise is added to target scene.
Referring to Figure 1, Fig. 1 is a kind of stream for solving camera overexposure and under-exposure method disclosed by the embodiments of the present invention
Journey schematic diagram.As shown in Figure 1, the solution camera overexposure and under-exposure method may comprise steps of.
Target white Gaussian noise is added into camera sensing device for S101, mobile terminal.
The mobile terminal can be single-lens reflex camera for taking pictures, or clap vertical etc., or can also be operation Android operation
System, iOS operating system, the mobile device with camera function of Windows operating system or other operating systems, such as intelligence
Energy mobile phone, removable computer or tablet computer etc..
The mobile terminal can generate white Gaussian noise by algorithm.Optionally, which can be somebody's turn to do by adjusting
The variance δ of white Gaussian noise2To obtain the target white Gaussian noise.The target white Gaussian noise can be converted by interlock circuit
It is added in mobile terminal camera sensor at electric current.The sensor of the camera may include photosensitive sensor etc..
Wherein, white Gaussian noise (English: White Gaussian Noise) refers to that its instantaneous value obeys Gauss point
Cloth, and its power spectral density is to be uniformly distributed.For example, if the variance δ of white Gaussian noise2=0.5, then the mobile terminal tune
The variance for saving the white Gaussian noise is δ2=0.5, then δ2=0.5 white Gaussian noise can be used as the target white Gaussian noise；Or
Person, the variance which adjusts the white Gaussian noise is δ2=1, then δ2=1 white Gaussian noise can be used as target height
This white noise；Alternatively, the variance that the mobile terminal adjusts the white Gaussian noise is δ2=1.5, then δ2=1.5 white Gaussian noise
It can be used as the target white Gaussian noise；The variance that the mobile terminal adjusts the white Gaussian noise is δ2=2, then δ2=2 Gauss
White noise can be used as the target white Gaussian noise etc..
Optionally, which can adjust the variance of the white Gaussian noise by receiving control instruction.For example, adjusting
Visualization slider bar on the mobile terminal adjusts the variance of the white Gaussian noise.As shown in Fig. 1 (a), intelligent hand is being opened
When the camera function of machine takes pictures to object, the picture of wanted photo-object is shown at the region A of smart phone display screen, in area
The lower section of domain A shows the visualization slider bar B for having smiling face；During taking pictures, user is slided on visualization slider bar B
Smiling face be that the variance of the white Gaussian noise is adjusted.
Optionally, which can be the white Gaussian noise that inequality is zero.
S102, the mobile terminal shoot target scene by the way that the camera of the target white Gaussian noise is added, from
And obtain the first image, wherein the light intensity range of the target scene exceeds the standard responding range of the camera.
When the mobile terminal shoots the target scene by camera, the light of the target scene can be taken in
Into the sensor of the camera.Wherein, the sensor of the camera may include photosensitive sensor etc..In the photosensitive sensor
In, the light of the target scene can be converted into electric current.In the camera by the way that the target white Gaussian noise is added to target scene
When being shot, in the sensor of the camera, the electric current of target white Gaussian noise conversion and the light of the target scene
The electric current of conversion carries out certain operation, to obtain first image.
The standard responding range of the camera can refer to, and the target white Gaussian is not added in the sensor of the camera
Before noise, the light intensity range for the light which is able to respond, the i.e. camera can see target simultaneously
The light intensity largest portion of scene and the variation range of light intensity least part.
Wherein, which can be " luminous intensity " being commonly called as, and abbreviation light intensity, international unit is candela
(candela, cd).1cd refers to the luminous intensity of a light source in given directions, and 1cd is specifically interpreted as, which issues frequency
Rate is 540 × 1012The monochromatic radiation of Hz, and radiation intensity is 1/683 watt of every surface of sphere in this direction.For example, certain light
Luminous intensity be 10cd.The target scene can refer to people, plant, animal or the landscape etc. that the camera to be shot, such as blue
It, white clouds, high building etc..
In the embodiment of the present invention, the light of the target scene is injected into the camera and changes by the modulus dress of the camera
After (analogue-to-digitalconversion, ADC), it is single that the light intensity of the light, which can be converted with pixel,
The numerical value of position, such as 61 pixels or 62 pixels etc..Similarly, the standard responding range of the camera can also use the camera shooting
The numberical range as unit of pixel of head indicates, for example, the standard responding range can be [65 pixels, 1024 pixels]
(also known as [65,1024]) etc..
For example, if the light intensity range of the target scene is [L1, L2], the standard dynamic response of the camera
Range is [L3, L4], if L1 is less than L3, the light intensity range of the target scene exceeds the standard dynamic response of the camera
Range；Alternatively, the light intensity range of the target scene exceeds the standard dynamic response model of the camera if L2 is greater than L4
It encloses；Alternatively, the light intensity range of the target scene exceeds the standard responding range of the camera if L1 is greater than L4；
Alternatively, the light intensity range of the target scene exceeds the standard responding range of the camera if L2 is less than L3.
It in practice, can if the light intensity range of the target scene exceeds the standard responding range of the camera
There is overexposure or under exposed phenomenon.For example, knocking down the light intensity of camera in the part [L1, L3] if L1 is less than L3
Will be dimmed, to under-exposure phenomenon occur；If L2 is greater than L4, knock down the light intensity of camera [L4, L2] partially
Understood it is bright, to overexposure phenomenon occur.
In the embodiment of the present invention, which can be added the target white Gaussian noise in camera, to increase this
Camera standard responding range, to solve the overexposure or under exposed phenomenon of camera.
Verified below with mathematical reasoning and the mode of emulation: the target white Gaussian noise is added in camera to be increased
The camera standard responding range.
Assuming that the light intensity of the target scene is x, the standard responding range of the camera is [L3, L4], then should
The output y of camera can be indicated are as follows:
Wherein, the light intensity x of target scene the camera standard responding range be [L3, L4] within when,
The output y of the camera is x；When the light intensity x of target scene is less than L3, output y is constant L3；The light of target scene is strong
When spending x greater than L4, output y is constant L4.
Camera by the way that target white Gaussian noise is added shoots target scene, wherein target Gauss white noise
Sound is the white Gaussian noise that inequality is 0, then exports y expression are as follows:
Y=f (x+N)
Wherein, it is 0 that N, which is mean value, and probability density is the white Gaussian noise of p (n), then exports the expectation of y are as follows:
The standard responding range [L3, L4] of the camera is normalized to [0,1], then emulates different variance δ2
When, the expectation of y is exported, as shown in Fig. 1 (b), Fig. 1 (c) and Fig. 1 (d), wherein abscissa is normalized x, and ordinate is defeated
The expectation of y out.
Wherein, Fig. 1 (e) is when being added without the target white Gaussian noise in camera, and the input and output of the camera are bent
Line.It is obtained by Fig. 1 (b), Fig. 1 (c), Fig. 1 (d) and Fig. 1 (e) comparison, works as δ2It is defeated in 2.5 range of -1.5 < x < when=0.5
The expectation of y is in [0,1] range, and in Fig. 1 (e) out, and when exporting the expectation of y in [0,1] range, the value range of x is 0
< x < 1.It was therefore concluded that: as addition variance δ2=0.5, mean value be 0 white Gaussian noise when, camera is to light
The normalization standard responding range of intensity becomes larger.
Meanwhile relatively being obtained by mean value not homoscedastic in Fig. 1 (b), Fig. 1 (c) and Fig. 1 (d), with variance δ2Increase,
Pass through the contrast decline of the light intensity of target scene captured by camera.
Optionally, step S102 is it is also understood that the mobile terminal shoots target scene by the camera
The image information of the target scene is obtained, which is calculated with the target white Gaussian noise, to obtain the first figure
Picture.
In the method depicted in fig. 1, target white Gaussian noise is added to camera in mobile terminal, and by the way that the mesh is added
The camera of mark white Gaussian noise shoots target scene, to obtain the first image.As it can be seen that implementing the side of Fig. 1 description
Method is added target white Gaussian noise in camera, can increase the standard responding range of camera, to make camera can
To respond larger range of light intensity in target scene, to solve the problems, such as camera overexposure and under exposed.
Fig. 2 is referred to, Fig. 2 is a kind of stream for solving camera overexposure and under-exposure method disclosed by the embodiments of the present invention
Journey schematic diagram.As shown in Fig. 2, the solution camera overexposure and under-exposure method may comprise steps of.
S201, mobile terminal shoot target scene by the way that the camera of the target white Gaussian noise is not added, thus
Obtain the second image.
Target white Gaussian noise is added into camera sensing device for S202, the mobile terminal.
Optionally, which can pass through the variance δ of adjusting white Gaussian noise2To obtain target Gauss white noise
Sound.Wherein, white Gaussian noise (English: White Gaussian Noise) refers to its instantaneous value Gaussian distributed, and
Its power spectral density is uniformly distributed again.For example, if the variance δ of white Gaussian noise2=0.5, then the mobile terminal, which is adjusted, is somebody's turn to do
The variance of white Gaussian noise is δ2=0.5, then δ2=0.5 white Gaussian noise can be used as the target white Gaussian noise；Alternatively,
If the variance that the mobile terminal adjusts the white Gaussian noise is δ2=1, then δ2=1 white Gaussian noise can be used as target height
This white noise；Alternatively, if the variance that the mobile terminal adjusts the white Gaussian noise is δ2=1.5, then δ2=1.5 Gauss white noise
Sound can be used as the target white Gaussian noise；If the variance that the mobile terminal adjusts the white Gaussian noise is δ2=2, then δ2=2
White Gaussian noise can be used as the target white Gaussian noise etc..
S203, the mobile terminal shoot target scene by the way that the camera of the target white Gaussian noise is added, from
And obtain the first image, wherein the light intensity range of the target scene exceeds the standard responding range of the camera.
The standard responding range of the camera can refer to, and the target white Gaussian is not added in the sensor of the camera
Before noise, the light intensity range for the light which is able to respond, the i.e. camera can see target simultaneously
The light intensity largest portion of scene and the variation range of light intensity least part.
S204, first image is modified by second image, to reduce in first image by target height
This white noise bring image noise.
The image noise is commonly called as noise or image noise, can refer to the coarse part in image, can also refer in image not
The external pixel of the appearance.
In the embodiment of the present invention, first image can be modified by second image using filter, with
It reduces in first image by the target white Gaussian noise bring image noise.Wherein, filter may include mean filter
Device, adaptive wiener filter or median filter etc.；Alternatively, image composition algorithm can be used to reduce in first image
By the target white Gaussian noise bring image noise etc..
For by taking adaptive wiener filter as an example, adaptive wiener filter working principle is the part side according to image
Difference adjusts the output of filter, and local variance is bigger, and the smoothing effect of filter is stronger.In embodiments of the present invention, adaptive
Answer Wiener filter that can make first image y=f (x+N) and the second image y=g (x) mean square error e2=E [((f (x+N,
y)-g(x,y))2] minimum, to remove in the first image f (x+N) by target white Gaussian noise bring image noise.Wherein,
X is that the light intensity x, N of target scene are the white Gaussian noise that mean value is 0, and f (x+N) is by the way that taking the photograph for white Gaussian noise is added
The first image exported after shooting as head to target scene, g (x) is by being added without the camera of white Gaussian noise to target scene
The second image exported after shooting.
It should be noted that the mobile terminal may include a camera or at least two cameras.When movement end
When holding only one camera, then the mobile terminal can first pass through the camera that the target white Gaussian noise is not added to target field
Scape is shot, to obtain the second image；Then the target white Gaussian noise is added again to the target field to the camera again
Scape is shot, to obtain the first image.
When the mobile terminal has at least two cameras, then this can be not added to one of camera in the mobile terminal
Target white Gaussian noise shoots target scene with the camera, to obtain the second image；Then the camera shooting is being removed again
Target white Gaussian noise is added in one camera of selection in other cameras except head, with taking the photograph for addition target white Gaussian noise
As head again shoots the target scene, to obtain the first image.
As it can be seen that implementing the method for Fig. 2 description, by the way that image captured by the camera of target white Gaussian noise is not added to adding
Image captured by the camera of white Gaussian noise is modified, and can be reduced and has been added captured by the camera of white Gaussian noise
Image noise in image.
Fig. 3 is referred to, Fig. 3 is a kind of structural schematic diagram of mobile terminal disclosed by the embodiments of the present invention.Wherein, Fig. 3 institute
The mobile terminal shown may include:
Adding unit 301, for target white Gaussian noise to be added into camera sensing device.
Optionally, which can pass through the variance δ of adjusting white Gaussian noise2To obtain target Gauss white noise
Sound.Wherein, white Gaussian noise (English: White Gaussian Noise) refers to its instantaneous value Gaussian distributed, and
Its power spectral density is uniformly distributed again.For example, if the variance δ of white Gaussian noise2=0.5, then the mobile terminal, which is adjusted, is somebody's turn to do
The variance of white Gaussian noise is δ2=0.5, then δ2=0.5 white Gaussian noise can be used as the target white Gaussian noise；Alternatively,
If the variance that the mobile terminal adjusts the white Gaussian noise is δ2=1, then δ2=1 white Gaussian noise can be used as target height
This white noise；Alternatively, if the variance that the mobile terminal adjusts the white Gaussian noise is δ2=1.5, then δ2=1.5 Gauss white noise
Sound can be used as the target white Gaussian noise；If the variance that the mobile terminal adjusts the white Gaussian noise is δ2=2, then δ2=2
White Gaussian noise can be used as the target white Gaussian noise etc..
Shooting unit 302 shoots target scene for the camera by the way that target white Gaussian noise is added, thus
Obtain the first image, wherein the light intensity range of the target scene exceeds the standard responding range of the camera.
The standard responding range of the camera can refer to, and the target white Gaussian is not added in the sensor of the camera
Before noise, the light intensity range for the light which is able to respond, the i.e. camera can see target simultaneously
The light intensity largest portion of scene and the variation range of light intensity least part.
As it can be seen that the mobile terminal of implementing Fig. 3 description, can increase the standard responding range of camera, to make to take the photograph
As head can respond larger range of light intensity in target scene, to solve camera overexposure and under exposed ask
Topic.
Fig. 4 is referred to, Fig. 4 is the structural schematic diagram of another mobile terminal disclosed by the embodiments of the present invention, wherein Fig. 4
Shown in mobile terminal be that mobile terminal as shown in Figure 3 optimizes.It, should compared with mobile terminal shown in Fig. 3
Shooting unit 302 is also used to be added into the camera sensing device before the target white Gaussian noise in the adding unit 301,
The camera by the way that the target white Gaussian noise is not added shoots target scene, to obtain the second image.
Mobile terminal shown in Fig. 4 can also include:
Amending unit 303, second image for being shot by the shooting unit 302 repair first image
Just, to reduce in first image by the target white Gaussian noise bring image noise.
For by taking adaptive wiener filter as an example, adaptive wiener filter working principle is the part side according to image
Difference adjusts the output of filter, and local variance is bigger, and the smoothing effect of filter is stronger.In embodiments of the present invention, adaptive
Answer Wiener filter that can make first image y=f (x+N) and the second image y=g (x) mean square error e2=E [((f (x+N,
y)-g(x,y))2] minimum, to remove in the first image f (x+N) by target white Gaussian noise bring image noise.Wherein,
X is that the light intensity x, N of target scene are the white Gaussian noise that mean value is 0, and f (x+N) is by the way that taking the photograph for white Gaussian noise is added
The first image exported after shooting as head to target scene, g (x) is by being added without the camera of white Gaussian noise to target scene
The second image exported after shooting.
As it can be seen that implementing the mobile terminal of Fig. 4 description, by the way that image captured by the camera of target white Gaussian noise is not added
Image captured by the camera for having added white Gaussian noise is modified, the camera institute for having added white Gaussian noise can be reduced
Shoot the image noise in image.
Fig. 5 is referred to, Fig. 5 is the structural schematic diagram of another mobile terminal disclosed by the embodiments of the present invention, wherein Fig. 5
Shown in mobile terminal be that mobile terminal as shown in Figure 4 optimizes.Compared with mobile terminal shown in Fig. 4, Fig. 5
Shown in mobile terminal can also include adjust unit 304, for being added in the adding unit 301 into the camera sensing device
Before the target white Gaussian noise, the variance of white Gaussian noise is adjusted, to obtain the target white Gaussian noise.
Optionally, adjusting unit 304, specifically for adjusting the variance of the white Gaussian noise by receiving control instruction.
For example, adjusting the visualization slider bar on the mobile terminal to adjust the variance of the white Gaussian noise.As shown in Fig. 1 (a), beating
When opening the camera function of smart phone and taking pictures to object, wanted photo-object is shown at the region A of smart phone display screen
Picture, in region the lower section of A show one have smiling face visualization slider bar B；During taking pictures, user slides visualization
Smiling face on slider bar B is the variance that the white Gaussian noise is adjusted.
Optionally, which includes the white Gaussian noise that mean value is zero.
As it can be seen that implementing the mobile terminal of Fig. 5 description, target Gauss white noise can be obtained by the variance of white Gaussian noise
Sound.
Fig. 6 is referred to, Fig. 6 is the structural schematic diagram of another mobile terminal disclosed by the embodiments of the present invention.Wherein, this hair
The method that the mobile terminal that bright embodiment provides can be used for implementing above-mentioned Fig. 1 and various embodiments of the present invention shown in Fig. 2 are realized,
For ease of description, part relevant to various embodiments of the present invention is illustrated only, it is disclosed by specific technical details, please refer to figure
1 and various embodiments of the present invention shown in Fig. 2.Wherein, mobile terminal shown in fig. 6 may include:
Processor 1 and the input unit 3 being connected with processor 1 by interface 2 and pass through bus 4 and processor 1
The memory 5 being connected.Wherein, memory 5 is used to store a set of program code；Processor 1 stores in memory 5 for calling
Program code, for performing the following operations:
Target white Gaussian noise is added into camera sensing device by input unit 3；
Camera by the way that the target white Gaussian noise is added shoots target scene, so that the first image is obtained,
Wherein, the light intensity range of the target scene exceeds the standard responding range of the camera.
Optionally, processor 1 is used to call the program code stored in memory 5, is also used to execute following operation:
Before target white Gaussian noise is added into camera sensing device in this, by the way that the target white Gaussian noise is not added
The camera shoots target scene, to obtain the second image；
First image is modified by second image, to reduce in first image by target Gauss white noise
Sound bring image noise.
Optionally, processor 1 is used to call the program code stored in memory 5, is also used to execute following operation:
This is added before target white Gaussian noise into camera sensing device, adjusts the variance of white Gaussian noise, to obtain
Obtain the target white Gaussian noise.
Optionally, processor 1 is used to call the program code stored in memory 5, is also used to execute following operation:
The variance of the white Gaussian noise is adjusted by receiving control instruction.
Optionally, which includes the white Gaussian noise that mean value is zero.
As it can be seen that implementing the mobile terminal of Fig. 6 description, the standard responding range of camera can be increased, to make to take the photograph
As head can respond larger range of light intensity in target scene, to solve camera overexposure and under exposed ask
Topic.
The steps in the embodiment of the present invention can be sequentially adjusted, merged and deleted according to actual needs.
Unit in mobile terminal of the embodiment of the present invention can be combined, divided and deleted according to actual needs.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium include read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits
Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only memory (One-
Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only memory
(Electrically-Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact
Disc Read-Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage or can
For carrying or any other computer-readable medium of storing data.
Above to a kind of solution camera overexposure disclosed by the embodiments of the present invention and under-exposure method and mobile terminal into
It has gone and has been discussed in detail, used herein a specific example illustrates the principle and implementation of the invention, the above implementation
The explanation of example is merely used to help understand method and its core concept of the invention；Meanwhile for the general technology people of this field
Member, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, in conclusion this explanation
Book content should not be construed as limiting the invention.
Claims (10)
1. a kind of solution camera overexposure and under-exposure method, which is characterized in that the described method includes:
When the light intensity range of target scene exceeds the standard responding range of camera, the sensing of Xiang Suoshu camera
Target white Gaussian noise is added in device；
Camera by the way that the target white Gaussian noise is added shoots the target scene, to obtain the first figure
Picture, wherein the light intensity range of the target scene exceeds the standard responding range of the camera.
2. the method according to claim 1, wherein described target Gauss white noise is added into camera sensing device
Before sound, the method also includes:
Camera by the way that the target white Gaussian noise is not added shoots target scene, to obtain the second image；
It is described by be added target white Gaussian noise camera target scene is shot, thus obtain the first image it
Afterwards, the method also includes:
The first image is modified by second image, to reduce in the first image by the target Gauss
White noise bring image noise.
3. the method according to any one of claims 1 and 2, which is characterized in that described that mesh is added into camera sensing device
Before marking white Gaussian noise, the method also includes:
The variance for adjusting white Gaussian noise, to obtain the target white Gaussian noise.
4. according to the method described in claim 3, it is characterized in that, the variance for adjusting white Gaussian noise, comprising:
The variance of the white Gaussian noise is adjusted by receiving control instruction.
5. according to claim 1,2 or 4 described in any item methods, which is characterized in that the white Gaussian noise includes that mean value is
Zero white Gaussian noise.
6. a kind of mobile terminal, which is characterized in that the mobile terminal includes:
Adding unit, when for exceeding the standard responding range of camera when the light intensity range of target scene, to institute
State addition target white Gaussian noise in the sensor of camera；
Shooting unit shoots the target scene for the camera by the way that the target white Gaussian noise is added, from
And obtain the first image, wherein the light intensity range of the target scene is rung beyond the standard dynamic of the camera
Answer range.
7. mobile terminal according to claim 6, which is characterized in that the shooting unit is also used to single in the addition
Member is added before the target white Gaussian noise into the camera sensing device, by the way that the target white Gaussian noise is not added
Camera shoots target scene, to obtain the second image；
The mobile terminal further include:
Amending unit, second image for being shot by the shooting unit are modified the first image, with
It reduces in the first image by the target white Gaussian noise bring image noise.
8. the described in any item mobile terminals of according to claim 6 or 7, which is characterized in that the mobile terminal further include:
Adjust unit, for the adding unit be added into the camera sensing device target white Gaussian noise it
Before, the variance of white Gaussian noise is adjusted, to obtain the target white Gaussian noise.
9. mobile terminal according to claim 8, which is characterized in that the adjusting unit, specifically for being connect by adjusting
Receive the variance that control instruction adjusts the white Gaussian noise.
10. according to the described in any item mobile terminals of claim 6,7 or 9, which is characterized in that the white Gaussian noise includes equal
The white Gaussian noise that value is zero.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101800857A (en) * | 2009-02-06 | 2010-08-11 | 佳能株式会社 | Picture pick-up device and control method thereof |
| CN105100632A (en) * | 2014-05-13 | 2015-11-25 | 北京展讯高科通信技术有限公司 | Adjusting method and apparatus for automatic exposure of imaging device, and imaging device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101800857A (en) * | 2009-02-06 | 2010-08-11 | 佳能株式会社 | Picture pick-up device and control method thereof |
| CN105100632A (en) * | 2014-05-13 | 2015-11-25 | 北京展讯高科通信技术有限公司 | Adjusting method and apparatus for automatic exposure of imaging device, and imaging device |
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