CN106060420A - Method for solving overexposure underexposure of camera and mobile terminal - Google Patents
Method for solving overexposure underexposure of camera and mobile terminal Download PDFInfo
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- CN106060420A CN106060420A CN201610516547.6A CN201610516547A CN106060420A CN 106060420 A CN106060420 A CN 106060420A CN 201610516547 A CN201610516547 A CN 201610516547A CN 106060420 A CN106060420 A CN 106060420A
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- white gaussian
- gaussian noise
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- photographic head
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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 method for solving overexposure underexposure of a camera and a mobile terminal. The method comprises the steps of adding target gaussian white noise in a camera sensor; and photographing a target scene through the camera after the target gaussian white noise is added, thereby obtaining a first image, wherein the light intensity range of the target scene exceeds the standard dynamic response range of the camera. Through application of the embodiment of the method and the mobile terminal, the standard dynamic response range of the camera can be extended.
Description
Technical field
The present invention relates to mobile communication terminal technical field, particularly relate to a kind of solution photographic head overexposure and under-exposure side
Method and mobile terminal.
Background technology
Camera sensing utensil has standard responding range, when the light intensity standard at camera sensing device entering mirror
Time within responding range, camera sensing device could normal imaging.If being input to the light intensity of photographic head higher than shooting
The maximum of head standard responding range, then photographic head there will be overexposure phenomenon, if being input to the light of photographic head
Line strength is less than the minima of standard responding range, then photographic head there will be under-exposure phenomenon.
Such as, the standard responding range of camera sensing device is [65,1024], if the light being input to photographic head is strong
Degree is after modulus AD conversion pixel, and the pixel higher than 1024 will appear as overexposure, and the pixel less than 65 will appear as
Under-exposure.
At present, overexposure and under-exposure problem for photographic head can solve photographic head by regulation aperture or shutter
Overexposure or under-exposure phenomenon.But, regulation aperture or shutter can not increase the standard dynamic response of camera sensing device
Scope, regulation aperture or shutter, while solving overexposure phenomenon, may make the most normal part occur under-exposure existing
As.
Summary of the invention
The embodiment of the invention discloses a kind of solution photographic head overexposure and under-exposure method and mobile terminal, by increasing capacitance it is possible to increase
The standard responding range of photographic head.
Embodiment of the present invention first aspect discloses a kind of solution photographic head overexposure and under-exposure method, including:
Target white Gaussian noise is added in camera sensing device；
By adding the photographic head of described target white Gaussian noise, target scene is shot, thus obtain the first figure
Picture, wherein, the light intensity scope of described target scene is beyond the standard responding range of described photographic head.
Embodiment of the present invention second aspect discloses a kind of mobile terminal, including:
Add unit, for adding target white Gaussian noise in camera sensing device；
Shooting unit, for being shot target scene by the photographic head of addition target white Gaussian noise, thus is obtained
Obtaining the first image, wherein, the light intensity scope of described target scene is beyond the standard dynamic response model of described photographic head
Enclose.
In the embodiment of the present invention, mobile terminal adds target white Gaussian noise in camera sensing device, and by adding
Target scene is shot by the photographic head of this target white Gaussian noise, thus obtains the first image.Visible, the embodiment of the present invention
Target white Gaussian noise is added, by increasing capacitance it is possible to increase the standard responding range of photographic head, so that photographic head is permissible at photographic head
Larger range of light intensity in response target scene, thus solve photographic head overexposure and under exposed problem.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below by use required in embodiment
Accompanying drawing is briefly described, it should be apparent that, the accompanying drawing in describing below is some embodiments of the present invention, general for this area
From the point of view of logical technical staff, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet solving photographic head overexposure and under-exposure method disclosed in the embodiment of the present invention；
Fig. 1 (a) is a kind of disclosed in the embodiment of the present invention to visualize the signal that slider bar shows on smart mobile phone screen
Figure；
Fig. 1 (b) is that disclosed in the embodiment of the present invention, a kind of different mean variances compare analogous diagram；
Fig. 1 (c) is that disclosed in the embodiment of the present invention, another kind of different mean variances compare analogous diagram；
Fig. 1 (d) is that disclosed in the embodiment of the present invention, another kind of different mean variances compare analogous diagram；
Fig. 1 (e) is a kind of photographic head input and output analogous diagram disclosed in the embodiment of the present invention；
Fig. 2 is the another kind of flow process signal solving photographic head overexposure and under-exposure method disclosed in the embodiment of the present invention
Figure；
Fig. 3 is the structural representation of a kind of mobile terminal disclosed in the embodiment of the present invention；
Fig. 4 is the structural representation of another kind of mobile kind of terminal disclosed in the embodiment of the present invention；
Fig. 5 is the structural representation of another kind of mobile terminal disclosed in the embodiment of the present invention；
Fig. 6 is the structural representation of another kind of mobile terminal disclosed in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiments wholely.Based on this
Embodiment in bright, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise
Example, broadly falls into the scope of protection of the invention.
It should be noted that the term used in embodiments of the present invention is only merely for the mesh describing specific embodiment
, and it is not intended to be limiting the present invention." one of singulative used in the embodiment of the present invention and appended claims
Kind ", " described " and " being somebody's turn to do " be also intended to include majority form, unless context clearly shows that other implications.It is also understood that this
Any or all possible group that the term "and/or" used in literary composition refers to and comprises one or more project of listing being associated
Close.
The embodiment of the invention discloses a kind of solution photographic head overexposure and under-exposure method and mobile terminal, by increasing capacitance it is possible to increase
The standard responding range of photographic head.It is described in detail individually below.
The embodiment of the present invention can apply to following application scenarios: with being configured with the smart mobile phone of photographic head to target field
When scape is taken pictures, if the light intensity of target scene is beyond the standard responding range of photographic head, then smart mobile phone meeting
Photographic head adds white Gaussian noise, and with the photographic head adding white Gaussian noise, target scene is taken pictures.
Referring to Fig. 1, Fig. 1 is a kind of stream solving photographic head overexposure and under-exposure method disclosed in the embodiment of the present invention
Journey schematic diagram.As it is shown in figure 1, this solution photographic head overexposure and under-exposure method may comprise steps of.
S101, mobile terminal add target white Gaussian noise in camera sensing device.
This mobile terminal can be single anti-for take pictures, or bat is stood, or can also be for running Android operation
The mobile device with camera function of system, iOS operating system, Windows operating system or other operating systems, such as intelligence
Energy mobile phone, removable computer or panel computer etc..
This mobile terminal can generate white Gaussian noise by algorithm.Optionally, this mobile terminal can be somebody's turn to do by regulation
Variance δ of white Gaussian noise2Obtain this target white Gaussian noise.This target white Gaussian noise can be converted by interlock circuit
Electric current is become to join in mobile terminal camera sensor.The sensor of this photographic head can include photosensitive sensor etc..
Wherein, white Gaussian noise is (English: instantaneous value obedience Gauss White Gaussian Noise) referring to it divides
Cloth, and its power spectral density is to be uniformly distributed.Such as, if variance δ of white Gaussian noise2=0.2, then this mobile terminal is adjusted
The variance saving this white Gaussian noise is δ2=0.5, then δ2The white Gaussian noise of=0.5 can be as this target white Gaussian noise；Or
Person, it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=1, then δ2The white Gaussian noise of=1 can be high as this target
This white noise；Or, it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=1.5, then δ2The white Gaussian noise of=1.5
Can be as this target white Gaussian noise；It is δ that this mobile terminal regulates the variance of this white Gaussian noise2=2, then δ2The Gauss of=2
White noise can be as this target white Gaussian noise etc..
Optionally, this mobile terminal can regulate the variance of this white Gaussian noise by receiving control instruction.Such as, regulation
Visualization slider bar on this mobile terminal regulates the variance of this white Gaussian noise.As shown in Fig. 1 (a), opening intelligence hands
When object is taken pictures by the camera function of machine, show the picture of wanted photo-object at the region A of smart mobile phone display screen, in district
The lower section of territory A shows a visualization slider bar B with smiling face；During taking pictures, user slides on visualization slider bar B
The smiling face i.e. variance of this white Gaussian noise of scalable.
Optionally, this target white Gaussian noise can be inequality be the white Gaussian noise of zero.
Target scene is shot by S102, this mobile terminal by adding the photographic head of this target white Gaussian noise, from
And obtain the first image, wherein, the light intensity scope of this target scene is beyond the standard responding range of this photographic head.
When this target scene is shot by this mobile terminal by photographic head, the light of this target scene can be taken in
In the sensor of this photographic head.Wherein, the sensor of this photographic head can include photosensitive sensor etc..At this photosensitive sensor
In, the light of this target scene can be converted into electric current.At the photographic head by adding this target white Gaussian noise to target scene
When shooting, in the sensor of this photographic head, the electric current of this target white Gaussian noise conversion and the light of this target scene
The electric current converted carries out certain computing, thus obtains this first image.
The standard responding range of this photographic head can refer to not add this target white Gaussian at the sensor of this photographic head
Before noise, the light intensity scope of the light that this photographic head can respond, i.e. this photographic head can see target simultaneously
The light intensity largest portion of scene and the excursion of light intensity least part.
Wherein, this light intensity can be " light intensity " being commonly called as, and is called for short light intensity, and iu is candela
(candela, cd).1cd refers to light source luminous intensity in given directions, and 1cd is specifically interpreted as, this light source sends frequency
Rate is 540 × 1012The monochromatic radiation of Hz, and radiant intensity is 1/683 watt of every steradian in the direction.Such as, certain light
Light intensity be 10cd.This target scene can refer to people, plant, animal or the view etc. that this photographic head is to be shot, such as blue
My god, white clouds, high building etc..
In the embodiment of the present invention, the light of this target scene is injected into this photographic head and changes through the modulus dress of this photographic head
After (analogue-to-digitalconversion, ADC), the light intensity of this light can be converted into pixel as list
The numerical value of position, such as 61 pixels, or 62 pixels etc..In like manner, the standard responding range of this photographic head can also image with this
The numerical range in units of pixel of head represents, such as, this standard responding range can be [65 pixels, 1024 pixels]
(also known as [65,1024]) etc..
For example, if the light intensity scope of this target scene is [L1, L2], the standard dynamic response of this photographic head
Scope is [L3, L4], if L1 is less than L3, then the light intensity scope of this target scene is beyond the standard dynamic response of this photographic head
Scope；Or, if L2 is more than L4, then the light intensity scope of this target scene is beyond the standard dynamic response model of this photographic head
Enclose；Or, if L1 is more than L4, then the light intensity scope of this target scene is beyond the standard responding range of this photographic head；
Or, if L2 is less than L3, then the light intensity scope of this target scene is beyond the standard responding range of this photographic head.
In reality, if the light intensity scope of this target scene is beyond the standard responding range of this photographic head, then can
Overexposure or under exposed phenomenon occur.Such as, if L1 is less than L3, then the light intensity of photographic head is knocked down in [L1, L3] part
Will be dimmed, thus under-exposure phenomenon occurs；If L2 is more than L4, then in [L4, L2] part just knock down the light intensity of photographic head
Understood bright, thus overexposure phenomenon occurred.
In the embodiment of the present invention, this mobile terminal can add this target white Gaussian noise in photographic head, increases this
Photographic head standard responding range, thus solve the overexposure of photographic head or under exposed phenomenon.
Verify by the mode of mathematical reasoning and emulation below: adding this target white Gaussian noise in photographic head can increase
This photographic head standard responding range.
The light intensity assuming this target scene is x, and the standard responding range of this photographic head is [L3, L4], then should
The output y of photographic head can be expressed as:
Wherein, the light intensity x of target scene when the standard responding range of this photographic head is within [L3, L4],
The output y of this photographic head 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 degree x is more than L4, output y is constant L4.
By adding the photographic head of target white Gaussian noise, target scene is shot, wherein, this target Gauss white noise
Sound be inequality be the white Gaussian noise of 0, then output y be expressed as:
Y=f (x+N)
Wherein, N be average be 0, probability density is the white Gaussian noise of p (n), then output being desired for of y:
The standard responding range [L3, L4] of this photographic head is normalized to [0,1], then different variance δ of emulation2
Time, the expectation of output y, as shown in Fig. 1 (b), Fig. 1 (c) and Fig. 1 (d), wherein, abscissa is normalized x, and vertical coordinate is defeated
Go out the expectation of y.
Wherein, when Fig. 1 (e) is for being added without this target white Gaussian noise in photographic head, the input and output of this photographic head are bent
Line.Drawn by Fig. 1 (b), Fig. 1 (c), Fig. 1 (d) and Fig. 1 (e) contrast, work as δ2When=0.5, < in the range of 2.5, export-1.5 < x
Y be expected to [0,1] in the range of, and in Fig. 1 (e), when when being expected in the range of [0,1] of y of output, the span of x is 0 < x
<1.It was therefore concluded that: when adding variance δ2=0.5, when average is the white Gaussian noise of 0, photographic head is to light intensity
Normalization standard responding range become big.
Meanwhile, average ratio the most homoscedastic in Fig. 1 (b), Fig. 1 (c) and Fig. 1 (d) relatively draw, along with variance δ2Increase,
Declined by the contrast of the light intensity of target scene captured by photographic head.
Optionally, step S102 is it is also understood that target scene is shot by this mobile terminal by this photographic head
Obtaining the image information of this target scene, this image information calculates with this target white Gaussian noise, thus obtains the first figure
Picture.
In the method described by Fig. 1, mobile terminal adds target white Gaussian noise to photographic head, and by adding this mesh
Target scene is shot by the photographic head of mark white Gaussian noise, thus obtains the first image.Visible, implement the side that Fig. 1 describes
Method, adds target white Gaussian noise at photographic head, by increasing capacitance it is possible to increase the standard responding range of photographic head, so that photographic head can
With larger range of light intensity in response target scene, thus solve photographic head overexposure and under exposed problem.
Referring to Fig. 2, Fig. 2 is a kind of stream solving photographic head overexposure and under-exposure method disclosed in the embodiment of the present invention
Journey schematic diagram.As in figure 2 it is shown, this solution photographic head overexposure and under-exposure method may comprise steps of.
Target scene is shot by S201, mobile terminal by being not added with the photographic head of this target white Gaussian noise, thus
Obtain the second image.
S202, this mobile terminal add target white Gaussian noise in camera sensing device.
Optionally, this mobile terminal can be by regulating variance δ of white Gaussian noise2Obtain this target Gauss white noise
Sound.Wherein, white Gaussian noise (English: White Gaussian Noise) to refer to its instantaneous value Gaussian distributed, and
Its power spectral density is uniformly distributed again.Such as, if variance δ of white Gaussian noise2=0.2, then the regulation of this mobile terminal should
The variance of white Gaussian noise is δ2=0.5, then δ2The white Gaussian noise of=0.5 can be as this target white Gaussian noise；Or,
If it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=1, then δ2The white Gaussian noise of=1 can be high as this target
This white noise；Or, if it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=1.5, then δ2The Gauss white noise of=1.5
Sound can be as this target white Gaussian noise；If it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=2, then δ2=2
White Gaussian noise can be as this target white Gaussian noise etc..
Target scene is shot by S203, this mobile terminal by adding the photographic head of this target white Gaussian noise, from
And obtain the first image, wherein, the light intensity scope of this target scene is beyond the standard responding range of this photographic head.
The standard responding range of this photographic head can refer to not add this target white Gaussian at the sensor of this photographic head
Before noise, the light intensity scope of the light that this photographic head can respond, i.e. this photographic head can see target simultaneously
The light intensity largest portion of scene and the excursion of light intensity least part.
S204, by this second image, this first image is modified, high by this target to reduce in this first image
The image noise that this white noise brings.
This image noise is commonly called as noise, or image noise, can refer to the coarse part in image, it is also possible to refer in image not
The external pixel of this appearance.
In the embodiment of the present invention, wave filter can be used by this second image, this first image to be modified, with
Reduce the image noise brought in this first image by this target white Gaussian noise.Wherein, wave filter can include mean filter
Device, adaptive wiener filter or median filter etc.；Or, image composition algorithm can be used to reduce in this first image
The image noise etc. brought by this target white Gaussian noise.
From the point of view of as a example by adaptive wiener filter, adaptive wiener filter operation principle is the local side according to image
Difference adjusts the output of wave filter, and local variance is the biggest, and the smoothing effect of wave filter is the strongest.In embodiments of the present invention, adaptive
Answer Wiener filter can make this 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, thus remove the image noise brought in the first image f (x+N) by target white Gaussian noise.Wherein,
X be the light intensity x, N of target scene be average be the white Gaussian noise of 0, f (x+N) is for by adding the taking the photograph of white Gaussian noise
First image of output after shooting target scene as head, g (x) is by being added without the photographic head of white Gaussian noise to target scene
Second image of output after shooting.
It should be noted that this mobile terminal can include a photographic head, or at least two photographic head.When this moves end
During end only one of which photographic head, then this mobile terminal can first pass through and be not added with the photographic head of this target white Gaussian noise to target field
Scape shoots, thus obtains the second image；This target white Gaussian noise is added again to this target field the most again to this photographic head
Scape shoots, thus obtains the first image.
When this mobile terminal has at least two photographic head, then this mobile terminal can be not added with this to one of them photographic head
Target white Gaussian noise, shoots target scene with this photographic head, thus obtains the second image；The most again except this shooting
Other photographic head outside Tou select a photographic head add target white Gaussian noise, with adding taking the photograph of target white Gaussian noise
As this target scene is shot by head again, thus obtain the first image.
Visible, implement the method that Fig. 2 describes, by being not added with image captured by the photographic head of target white Gaussian noise to adding
Image captured by the photographic head of white Gaussian noise is modified, it is possible to reduce captured by the photographic head having added white Gaussian noise
Image noise in image.
Referring to Fig. 3, Fig. 3 is the structural representation of a kind of mobile terminal disclosed in the embodiment of the present invention.Wherein, Fig. 3 institute
The mobile terminal shown may include that
Add unit 301, for adding target white Gaussian noise in camera sensing device.
Optionally, this mobile terminal can be by regulating variance δ of white Gaussian noise2Obtain this target Gauss white noise
Sound.Wherein, white Gaussian noise (English: White Gaussian Noise) to refer to its instantaneous value Gaussian distributed, and
Its power spectral density is uniformly distributed again.Such as, if variance δ of white Gaussian noise2=0.2, then the regulation of this mobile terminal should
The variance of white Gaussian noise is δ2=0.5, then δ2The white Gaussian noise of=0.5 can be as this target white Gaussian noise；Or,
If it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=1, then δ2The white Gaussian noise of=1 can be high as this target
This white noise；Or, if it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=1.5, then δ2The Gauss white noise of=1.5
Sound can be as this target white Gaussian noise；If it is δ that this mobile terminal regulates the variance of this white Gaussian noise2=2, then δ2=2
White Gaussian noise can be as this target white Gaussian noise etc..
Shooting unit 302, for target scene being shot by the photographic head of addition target white Gaussian noise, thus
Obtaining the first image, wherein, the light intensity scope of this target scene is beyond the standard responding range of this photographic head.
The standard responding range of this photographic head can refer to not add this target white Gaussian at the sensor of this photographic head
Before noise, the light intensity scope of the light that this photographic head can respond, i.e. this photographic head can see target simultaneously
The light intensity largest portion of scene and the excursion of light intensity least part.
Visible, implement the mobile terminal that Fig. 3 describes, by increasing capacitance it is possible to increase the standard responding range of photographic head, so that taking the photograph
As head can respond larger range of light intensity in target scene, thus solve photographic head overexposure and under exposed ask
Topic.
Referring to Fig. 4, Fig. 4 is the structural representation of another kind of mobile terminal disclosed in the embodiment of the present invention, wherein, Fig. 4
Shown mobile terminal is that mobile terminal as shown in Figure 3 is optimized and obtains.Compared with the mobile terminal shown in Fig. 3, should
Shooting unit 302, is additionally operable to before this addition unit 301 adds this target white Gaussian noise in this camera sensing device,
By being not added with this photographic head of this target white Gaussian noise, target scene is shot, thus obtain the second image.
Mobile terminal shown in Fig. 4 can also include:
Amending unit 303, for repairing this first image by this second image of this shooting unit 302 shooting
Just, to reduce the image noise brought in this first image by this target white Gaussian noise.
From the point of view of as a example by adaptive wiener filter, adaptive wiener filter operation principle is the local side according to image
Difference adjusts the output of wave filter, and local variance is the biggest, and the smoothing effect of wave filter is the strongest.In embodiments of the present invention, adaptive
Answer Wiener filter can make this 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, thus remove the image noise brought in the first image f (x+N) by target white Gaussian noise.Wherein,
X be the light intensity x, N of target scene be average be the white Gaussian noise of 0, f (x+N) is for by adding the taking the photograph of white Gaussian noise
First image of output after shooting target scene as head, g (x) is by being added without the photographic head of white Gaussian noise to target scene
Second image of output after shooting.
Visible, implement the mobile terminal that Fig. 4 describes, by being not added with the image captured by the photographic head of target white Gaussian noise
The image added captured by the photographic head of white Gaussian noise is modified, it is possible to reduce the photographic head institute having added white Gaussian noise
Image noise in shooting image.
Referring to Fig. 5, Fig. 5 is the structural representation of another kind of mobile terminal disclosed in the embodiment of the present invention, wherein, Fig. 5
Shown mobile terminal is that mobile terminal as shown in Figure 4 is optimized and obtains.Compared with the mobile terminal shown in Fig. 4, Fig. 5
Shown mobile terminal can also include regulating unit 304, for adding in this camera sensing device at this addition unit 301
Before this target white Gaussian noise, the variance of regulation white Gaussian noise, thus obtain this target white Gaussian noise.
Optionally, this regulation unit 304, specifically for regulating the variance of this white Gaussian noise by receiving control instruction.
Such as, the visualization slider bar on this mobile terminal is regulated to regulate the variance of this white Gaussian noise.As shown in Fig. 1 (a), beating
Open the camera function of smart mobile phone time object is taken pictures, at the region A of smart mobile phone display screen, show wanted photo-object
Picture, show a visualization slider bar B with smiling face in the lower section of region A；During taking pictures, user slides visualization
Smiling face on the slider bar B i.e. variance of this white Gaussian noise of scalable.
Optionally, this white Gaussian noise includes the white Gaussian noise that average is zero.
Visible, implement the mobile terminal that Fig. 5 describes, it is possible to obtain target Gauss white noise by the variance of white Gaussian noise
Sound.
Referring to Fig. 6, Fig. 6 is the structural representation of another kind of mobile terminal disclosed in the embodiment of the present invention.Wherein, this
The mobile terminal that bright embodiment provides may be used for implementing the method that the various embodiments of the present invention shown in above-mentioned Fig. 1 and Fig. 2 realize,
For convenience of description, illustrate only the part relevant to various embodiments of the present invention, concrete ins and outs do not disclose, refer to figure
Various embodiments of the present invention shown in 1 and Fig. 2.Wherein, the mobile terminal shown in Fig. 6 may include that
Processor 1 and the input equipment 3 being connected with processor 1 by interface 2 and by bus 4 and processor 1
The memorizer 5 being connected.Wherein, memorizer 5 is used for storing batch processing code；Processor 1 is used for calling in memorizer 5 storage
Program code, be used for performing following operation:
In camera sensing device, target white Gaussian noise is added by input equipment 3；
By adding the photographic head of this target white Gaussian noise, target scene is shot, thus obtains the first image,
Wherein, the light intensity scope of this target scene is beyond the standard responding range of this photographic head.
Optionally, processor 1, for calling the program code of storage in memorizer 5, is additionally operable to perform following operation:
Before this adds target white Gaussian noise in camera sensing device, by being not added with this target white Gaussian noise
Target scene is shot by this photographic head, thus obtains the second image；
By this second image, this first image is modified, to reduce in this first image by this target Gauss white noise
The image noise that vocal cords come.
Optionally, processor 1, for calling the program code of storage in memorizer 5, is additionally operable to perform following operation:
Before this adds target white Gaussian noise in camera sensing device, the variance of regulation white Gaussian noise, thus obtain
Obtain this target white Gaussian noise.
Optionally, processor 1, for calling the program code of storage in memorizer 5, is additionally operable to perform following operation:
The variance of this white Gaussian noise is regulated by receiving control instruction.
Optionally, this white Gaussian noise includes the white Gaussian noise that average is zero.
Visible, implement the mobile terminal that Fig. 6 describes, by increasing capacitance it is possible to increase the standard responding range of photographic head, so that taking the photograph
As head can respond larger range of light intensity in target scene, thus solve photographic head overexposure and under exposed ask
Topic.
Step in embodiment of the present invention method can carry out order according to actual needs and adjust, merges and delete.
Unit in embodiment of the present invention mobile terminal can merge according to actual needs, divides and delete.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
Completing instructing relevant hardware by program, this program can be stored in a computer-readable recording medium, storage
Medium include read only memory (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), programmable read only memory (Programmable Read-onlyMemory, PROM), the read-only storage of erasable programmable
Device (Erasable Programmable Read OnlyMemory, EPROM), disposable programmable read only memory (One-time
Programmable Read-OnlyMemory, OTPROM), the electronics formula of erasing can make carbon copies read only memory (Electrically-
ErasableProgrammable Read-Only Memory, EEPROM), read-only optical disc (Compact Disc Read-
OnlyMemory, CD-ROM) or other disk storages, disk memory, magnetic tape storage or can be used in carrying or depositing
Any other medium computer-readable of storage data.
Above a kind of solution photographic head overexposure and under-exposure method and mobile terminal disclosed in the embodiment of the present invention are entered
Having gone and be discussed in detail, principle and the embodiment of the present invention are set forth by specific case used herein, above enforcement
The explanation of example is only intended to help to understand method and the core concept thereof of the present invention；General technology people simultaneously for this area
Member, according to the thought of the present invention, the most all will change, in sum, and this explanation
Book content should not be construed as limitation of the present invention.
Claims (10)
1. one kind solves photographic head overexposure and under-exposure method, it is characterised in that described method includes:
Target white Gaussian noise is added in camera sensing device；
By adding the photographic head of described target white Gaussian noise, target scene is shot, thus obtain the first image, its
In, the light intensity scope of described target scene is beyond the standard responding range of described photographic head.
Method the most according to claim 1, it is characterised in that described addition target Gauss white noise in camera sensing device
Before sound, described method also includes:
By being not added with the photographic head of described target white Gaussian noise, target scene is shot, thus obtain the second image；
Described by add target white Gaussian noise photographic head target scene is shot, thus obtain the first image it
After, described method also includes:
By described second image, described first image is modified, to reduce in described first image by described target Gauss
The image noise that white noise brings.
3. according to the method described in any one of claim 1 or 2, it is characterised in that described addition mesh in camera sensing device
Before mark white Gaussian noise, described method also includes:
The variance of regulation white Gaussian noise, thus obtain described target white Gaussian noise.
Method the most according to claim 3, it is characterised in that the variance of described regulation white Gaussian noise, including:
The variance of described white Gaussian noise is regulated by receiving control instruction.
5. according to the method described in any one of claim 1,2 or 4, it is characterised in that described white Gaussian noise includes that average is
The white Gaussian noise of zero.
6. a mobile terminal, it is characterised in that described mobile terminal includes:
Add unit, for adding target white Gaussian noise in camera sensing device；
Shooting unit, for shooting target scene by adding the photographic head of target white Gaussian noise, thus obtains the
One image, wherein, the light intensity scope of described target scene is beyond the standard responding range of described photographic head.
Mobile terminal the most according to claim 6, it is characterised in that described shooting unit, is additionally operable to add list described
Before unit adds described target white Gaussian noise in described camera sensing device, by being not added with described target white Gaussian noise
Target scene is shot by photographic head, thus obtains the second image；
Described mobile terminal also includes:
Amending unit, for described first image being modified by described second image of described shooting unit photographs, with
Reduce the image noise brought in described first image by described target white Gaussian noise.
8. according to the mobile terminal described in any one of claim 6 or 7, it is characterised in that described mobile terminal also includes:
Regulation unit, for described addition unit add in described camera sensing device described target white Gaussian noise it
Before, the variance of regulation white Gaussian noise, thus obtain described target white Gaussian noise.
Mobile terminal the most according to claim 8, it is characterised in that described regulation unit, specifically for connecing by regulation
Receive control instruction and regulate the variance of described white Gaussian noise.
10. according to the mobile terminal described in any one of claim 6,7 or 9, it is characterised in that described white Gaussian noise includes all
Value is the white Gaussian noise of zero.
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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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| 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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