CN108230270A - A kind of noise-reduction method, terminal and computer readable storage medium - Google Patents
A kind of noise-reduction method, terminal and computer readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 71
- 238000011946 reduction process Methods 0.000 claims abstract description 45
- 238000012512 characterization method Methods 0.000 claims abstract description 8
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- 238000010586 diagram Methods 0.000 description 18
- 230000006870 function Effects 0.000 description 15
- 238000010295 mobile communication Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Abstract
The embodiment of the invention discloses a kind of noise-reduction method, terminal and computer readable storage medium, the noise-reduction method includes：Biological characteristic in present image determines the first noise reduction region in present image；Wherein, the first noise reduction region is the human face region in present image；Read the corresponding color parameter in the first noise reduction region；First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels are for the corresponding noise reduction dynamics in the first noise reduction region of characterization；According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.Noise-reduction method provided in an embodiment of the present invention can effectively solve the problem that the problem of image section details is seriously lost, the image after noise reduction is smudgy, so as to greatly improve the quality of image after noise reduction.
Description
Technical field
The present invention relates to a kind of Image Denoising more particularly to noise-reduction method, terminal and computer readable storage mediums.
Background technology
In actual life, by terminal taking obtain digital picture, digitize and transmission process in due to often by
To the influences such as imaging device and external environmental noise interference, include noise, referred to as noisy image or noise image.For
More good image effect is obtained, needs to carry out noise reduction process to image.Common image denoising method includes：Small echo is gone
It makes an uproar, medium filtering denoising etc..
Existing image denoising method carries out whole noise reduction primarily directed to noise image, for including the figure of different details
As carrying out same noise reduction, preferable image effect can not be obtained.For example, if the face in image is made to become flat by noise reduction
It is sliding, then the detailed information in background in image will lose, and become blurred image background.That is, pass through
Existing noise-reduction method carries out image noise reduction, can generate image section details seriously lose, the image after noise reduction it is ambiguous
Problem, the defects of causing the picture quality after noise reduction low.
Invention content
It in view of this, can an embodiment of the present invention provides a kind of noise-reduction method, terminal and computer readable storage medium
Effectively solve the problems, such as that image section details is seriously lost, the image after noise reduction is smudgy, so as to scheme after greatly improving noise reduction
The quality of picture.
What the technical solution of the embodiment of the present invention was realized in：
An embodiment of the present invention provides a kind of noise-reduction method, including：
Biological characteristic in present image determines the first noise reduction region in the present image；Wherein, described
One noise reduction region is the human face region in the present image；
Read the corresponding color parameter in the first noise reduction region；
First noise reduction levels are determined according to the color parameter；Wherein, first noise reduction levels are for characterizing described the
The corresponding noise reduction dynamics in one noise reduction region；
According to first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
It is described that first noise reduction levels are determined according to the color parameter in said program, including：
The corresponding levels of color in the first noise reduction region is determined according to the color parameter；
According to the correspondence of the levels of color, preset color rank and noise reduction levels, described first noise reduction etc. is determined
Grade.
In said program, the biological characteristic in present image determines the first drop in the present image
It makes an uproar after region, the method further includes：
According to the first noise reduction region, the second noise reduction region is determined in the present image；Wherein described second drop
Region make an uproar as the non-face region in the present image；
Obtain the second noise reduction levels；Wherein, second noise reduction levels are corresponding for characterizing the second noise reduction region
Noise reduction dynamics；
According to second noise reduction levels, noise reduction process is carried out to the second noise reduction region.
In said program, the biological characteristic in present image determines the first drop in the present image
It makes an uproar before region, the method further includes：
Obtain the biological characteristic in the present image.
It is described to read the corresponding color parameter in the first noise reduction region in said program, including：
It is at least two unit areas by the first noise reduction region division；
Obtain corresponding at least two color information at least two unit area；Wherein, a unit area corresponds to
One color information；
According at least two color information, the color parameter is determined.
It is described according at least two color information in said program, determine the color parameter, including：
Average computation is carried out at least two color information, obtains the average value of at least two color information；
The average value is determined as the color parameter.
An embodiment of the present invention provides a kind of terminal, the terminal includes：Processor, memory and communication bus；Institute
State the connection communication that communication bus is used to implement between the processor and the memory；The processor is described for performing
The data stored in memory send program, to realize following steps：
Biological characteristic in present image determines the first noise reduction region in the present image；Wherein, described
One noise reduction region is the human face region in the present image；
Read the corresponding color parameter in the first noise reduction region；
First noise reduction levels are determined according to the color parameter；Wherein, first noise reduction levels are for characterizing described the
The corresponding noise reduction dynamics in one noise reduction region；
According to first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
In said program, the processor, specifically for determining the first noise reduction region according to the color parameter
Corresponding levels of color；And the correspondence according to the levels of color, preset color rank and noise reduction levels, it determines described
First noise reduction levels；And by the first noise reduction region division be at least two unit areas；And at least two described in obtaining
Corresponding at least two color information in a unit area；Wherein, a unit area corresponds to a color information；And according to institute
At least two color informations are stated, determine the color parameter；And average computation is carried out at least two color information, it obtains
Obtain the average value of at least two color information；And the average value is determined as the color parameter.
In said program, the processor is additionally operable to the biological characteristic in present image, in the present image
In determine the first noise reduction region after, according to the first noise reduction region, the second noise reduction region is determined in the present image；
Wherein described second noise reduction region is the non-face region in the present image；And obtain the second noise reduction levels；Wherein, institute
The second noise reduction levels are stated for characterizing the corresponding noise reduction dynamics in the second noise reduction region；And according to described second noise reduction etc.
Grade carries out noise reduction process to the second noise reduction region；And the biological characteristic in present image, in the present image
In determine the first noise reduction region before, obtain the biological characteristic in the present image.
An embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage has
One or more program, one or more of programs can be performed by one or more processor, to realize as above institute
The noise-reduction method stated.
In the technical solution of the embodiment of the present invention, the biological characteristic in present image determines the in present image
One noise reduction region；Wherein, the first noise reduction region is the human face region in present image；Read the corresponding color in the first noise reduction region
Parameter；First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels are corresponding for characterizing the first noise reduction region
Noise reduction dynamics；According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.It can be seen that the embodiment of the present invention carries
A kind of noise-reduction method, terminal and the computer readable storage medium gone out, can be to the human face region in present image according to corresponding
Noise reduction levels carry out noise reduction process, the noise-reduction method that the embodiment of the present invention proposes can according to the color parameter of human face region into
It determines to one step noise reduction levels, and noise reduction process is carried out, and then can to corresponding human face region according to different noise reduction levels
Effectively solve the problems, such as that image section details is seriously lost, the image after noise reduction is smudgy, so as to scheme after greatly improving noise reduction
The quality of picture.
Description of the drawings
A kind of hardware architecture diagram of Fig. 1 optional mobile terminals of each embodiment to realize the present invention；
Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention；
Fig. 3 is the realization flow diagram one for the noise-reduction method that the embodiment of the present invention proposes；
Fig. 4 is the first noise reduction area schematic in the embodiment of the present invention；
Fig. 5 is the schematic diagram for carrying out noise reduction process in the embodiment of the present invention to the first noise reduction region；
Fig. 6 is the realization flow diagram two for the noise-reduction method that the embodiment of the present invention proposes；
Fig. 7 is the realization flow diagram three for the noise-reduction method that the embodiment of the present invention proposes；
Fig. 8 is levels of color schematic diagram in the embodiment of the present invention；
Fig. 9 is the realization flow diagram four for the noise-reduction method that the embodiment of the present invention proposes；
Figure 10 is the realization flow diagram five for the noise-reduction method that the embodiment of the present invention proposes；
Figure 11 is the realization flow diagram six for the noise-reduction method that the embodiment of the present invention proposes；
Figure 12 is the composition structure diagram for the terminal that the embodiment of the present invention proposes.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, using for representing that the suffix of such as " module ", " component " or " unit " of element is only
Be conducive to the explanation of the present invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, terminal described in the present invention can include such as mobile phone, tablet
Computer, laptop, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
The shiftings such as media player (Portable Media Player, PMP), navigation device, wearable device, Intelligent bracelet, pedometer
The dynamic fixed terminals such as terminal and number TV, desktop computer.
It will be illustrated by taking mobile terminal as an example in subsequent descriptions, it will be appreciated by those skilled in the art that in addition to special
For moving except the element of purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, its to realize the present invention a kind of optional mobile terminal of each embodiment hardware configuration signal
Figure, the mobile terminal 100 can include：Radio frequency (Radio Frequency, RF) unit 101, Wireless Fidelity (WIreless-
Fidelity, Wi-Fi) it is module 102, audio output unit 103, audio/video (A/V) input unit 104, sensor 105, aobvious
Show the components such as unit 106, user input unit 107, interface unit 108, memory 109, processor 110 and power supply 111.
It will be understood by those skilled in the art that the mobile terminal structure shown in Fig. 1 does not form the restriction to mobile terminal, it is mobile whole
End can include either combining certain components or different components arrangement than illustrating more or fewer components.
The all parts of mobile terminal are specifically introduced with reference to Fig. 1：
Radio frequency unit 101 can be used for receive and send messages or communication process in, signal sends and receivees, specifically, by base station
Downlink information receive after, handled to processor 110；In addition, by the color adjustment of uplink to base station.In general, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, it penetrates
Frequency unit 101 can also communicate with network and other equipment by radio communication.Above-mentioned wireless communication can use any communication
Standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile
Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code it is point more
Location 2000 (Code Division Multiple Access 2000, CDMA2000), wideband code division multiple access (Wideband
Code Division Multiple Access, WCDMA), TD SDMA (Time Division-
Synchronous Code Division Multiple Access, TD-SCDMA), frequency division duplex long term evolution
(Frequency Division Duplexing-Long Term Evolution, FDD-LTE) and time division duplex long term evolution
(Time Division Duplexing-Long Term Evolution, TDD-LTE) etc..
Wi-Fi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch by Wi-Fi module 102
Email, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 1
Show Wi-Fi module 102, but it is understood that, and must be configured into for mobile terminal is not belonging to, it completely can basis
It needs to omit in the range for the essence for not changing invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
Formula, speech recognition mode, broadcast reception mode when under isotypes, it is that radio frequency unit 101 or Wi-Fi module 102 are received or
The audio data that person stores in memory 109 is converted into audio signal and exports as sound.Moreover, audio output unit
103 can also provide performed with mobile terminal 100 the relevant audio output of specific function (for example, call signal receive sound,
Message sink sound etc.).Audio output unit 103 can include loud speaker, buzzer etc..
A/V input units 104 are used to receive audio or video signal.A/V input units 104 can include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the static images or the image data of video obtained in image capture mode by image capture apparatus (such as camera) carry out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or Wi-Fi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (audio data), and can be audio data by such acoustic processing.Audio that treated (voice) data can
To be converted to the form output that mobile communication base station can be sent to via radio frequency unit 101 in the case of telephone calling model.
Microphone 1042 can implement various types of noises elimination (or inhibition) algorithms and send and receive sound to eliminate (or inhibition)
The noise generated during frequency signal or interference.
Mobile terminal 100 further includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, size and the direction of gravity are can detect that when static, can be used to identify the application of mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared ray sensor, details are not described herein.
Display unit 106 is used to show by information input by user or be supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode may be used
Display panel 1061 is configured in forms such as (Organic Light-Emitting Diode, OLED).
User input unit 107 can be used for receiving the number inputted or character information and generation and the use of mobile terminal
The key signals input that family is set and function control is related.Specifically, user input unit 107 may include touch panel 1071 with
And other input equipments 1072.Touch panel 1071, also referred to as touch screen collect user on it or neighbouring touch operation
(for example user uses any suitable objects such as finger, stylus or attachment on touch panel 1071 or in touch panel 1071
Neighbouring operation), and corresponding attachment device is driven according to preset formula.Touch panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
Contact coordinate is converted into, then gives processor 110, and the order that processor 110 is sent can be received and performed.It in addition, can
To realize touch panel 1071 using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touch panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
It includes but is not limited to physical keyboard, in function key (such as volume control button, switch key etc.), trace ball, mouse, operating lever etc.
It is one or more, do not limit herein specifically.
Further, touch panel 1071 can cover display panel 1061, when touch panel 1071 detect on it or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, touch panel 1071 and display panel
1061 be the component independent as two to realize the function that outputs and inputs of mobile terminal, but in certain embodiments, it can
The function that outputs and inputs of mobile terminal is realized so that touch panel 1071 and display panel 1061 is integrated, is not done herein specifically
It limits.
Interface unit 108 be used as at least one external device (ED) connect with mobile terminal 100 can by interface.For example,
External device (ED) can include wired or wireless head-band earphone port, external power supply (or battery charger) port, wired or nothing
Line data port, memory card port, the port for device of the connection with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area
And storage data field, wherein, storing program area can storage program area, application program (such as the sound needed at least one function
Sound playing function, image player function etc.) etc.；Storage data field can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part is stored in storage by running or performing the software program being stored in memory 109 and/or module and call
Data in device 109 perform the various functions of mobile terminal and processing data, so as to carry out integral monitoring to mobile terminal.Place
Reason device 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Device is managed, wherein, the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also be including bluetooth module etc., and details are not described herein.
For the ease of understanding the embodiment of the present invention, below to the communications network system that is based on of mobile terminal of the present invention into
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention, the communication network system
The LTE system united as universal mobile communications technology, the LTE system include communicating the user equipment (User of connection successively
Equipment, UE) 201, evolved UMTS Terrestrial radio access network (Evolved UMTS Terrestrial Radio
Access Network, E-UTRAN) 202, evolved packet-based core networks (Evolved Packet Core, EPC) 203 and operation
The IP operation 204 of quotient.
Specifically, UE201 can be above-mentioned terminal 100, and details are not described herein again.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connect with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide the access of UE201 to EPC203.
EPC203 can include mobility management entity (Mobility Management Entity, MME) 2031, ownership
Client server (Home Subscriber Server, HSS) 2032, other MME2033, gateway (Serving Gate
Way, SGW) 2034, grouped data network gateway (PDN Gate Way, PGW) 2035 and policy and rate functional entity
(Policy and Charging Rules Function, PCRF) 2036 etc..Wherein, MME2031 be processing UE201 and
The control node of signaling, provides carrying and connection management between EPC203.HSS2032 is all to manage for providing some registers
Such as the function of home location register (not shown) etc, and some are preserved in relation to use such as service features, data rates
The dedicated information in family.All customer data can be sent by SGW2034, and PGW2035 can provide the IP of UE 201
Address is distributed and other functions, and PCRF2036 is business data flow and the strategy of IP bearing resources and charging control strategic decision-making
Point, it selects and provides available strategy and charging control decision with charge execution function unit (not shown) for strategy.
IP operation 204 can include internet, Intranet, IP multimedia subsystem (IP Multimedia
Subsystem, IMS) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art it is to be understood that the present invention not only
Suitable for LTE system, be readily applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And following new network system etc., it does not limit herein.
Based on above-mentioned mobile terminal hardware configuration and communications network system, each embodiment of the method for the present invention is proposed.
Embodiment one
Fig. 3 is the realization flow diagram one for the noise-reduction method that the embodiment of the present invention proposes, as shown in figure 3, in the present invention
Embodiment in, terminal carry out noise reduction method may comprise steps of：
Step 101, the biological characteristic in present image determine the first noise reduction region in present image；Wherein,
One noise reduction region is the human face region in present image.
In an embodiment of the present invention, the biological characteristic that above-mentioned terminal can first in present image, above-mentioned current
The corresponding region of above-mentioned biological characteristic is determined in image, i.e., the first noise reduction region is determined in above-mentioned present image.
It should be noted that in an embodiment of the present invention, above-mentioned first noise reduction region can be in above-mentioned present image
The corresponding human face region of above-mentioned biological characteristic.
It should be noted that in an embodiment of the present invention, above-mentioned terminal can be to be configured with the camera terminal of camera,
For example, above-mentioned terminal can be to be configured with mobile phone, smart camera, tablet computer of camera etc..
Further, in an embodiment of the present invention, above-mentioned biological characteristic can be the above-mentioned human face region of above-mentioned terminal-pair
The various features information of division is identified, specifically, in an embodiment of the present invention, above-mentioned biological characteristic can be that face is special
The various features information such as sign, nose feature, iris feature.
Fig. 4 is the first noise reduction area schematic in the embodiment of the present invention, as shown in figure 4, in an embodiment of the present invention, on
The first noise reduction region can be determined in the picture by the biological characteristic in image by stating terminal.
Step 102 reads the corresponding color parameter in the first noise reduction region.
In an embodiment of the present invention, above-mentioned terminal is in the biological characteristic in above-mentioned present image, above-mentioned current
After above-mentioned first noise reduction region is determined in image, the corresponding color parameter in above-mentioned first noise reduction region can be read.
Further, in an embodiment of the present invention, above-mentioned terminal determined in above-mentioned present image human face region it
Afterwards, i.e., after above-mentioned first noise reduction region being determined in above-mentioned present image, above-mentioned first noise reduction region pair can first be obtained
The color parameter answered, so as to be determined to carry out the noise reduction dynamics of image noise reduction processing according to above-mentioned first color parameter.
It should be noted that in an embodiment of the present invention, the corresponding above-mentioned color parameter in above-mentioned first noise reduction region can
Think many kinds of parameters for characterizing above-mentioned first noise reduction regional color, specifically, in an embodiment of the present invention, above-mentioned color parameter
Can be many kinds of parameters such as gray value, brightness value or rgb value.
Further, in an embodiment of the present invention, the corresponding above-mentioned color parameter in above-mentioned first noise reduction region can be used
In characterizing the face complexion in above-mentioned present image, so as to so that above-mentioned terminal selects different noise reduction power according to the different colours of skin
Degree carries out noise reduction process to above-mentioned first noise reduction region.
Step 103 determines the first noise reduction levels according to color parameter；Wherein, the first noise reduction levels drop for characterizing first
It makes an uproar the corresponding noise reduction dynamics in region.
In an embodiment of the present invention, above-mentioned terminal is after the corresponding color parameter in above-mentioned first noise reduction region is read,
Corresponding first noise reduction levels in above-mentioned first noise reduction region can be determined according to above-mentioned color parameter.
It should be noted that in an embodiment of the present invention, above-mentioned first noise reduction levels can be used for characterizing above-mentioned first
Noise reduction dynamics corresponding to noise reduction region.
Further, in an embodiment of the present invention, above-mentioned terminal is determining that above-mentioned first noise reduction region is corresponding above-mentioned
After color parameter, the corresponding noise reduction dynamics in above-mentioned first noise reduction region can be further determined that out according to above-mentioned color parameter,
Different degrees of noise reduction process is carried out so as to the region of above-mentioned terminal-pair different color parameter.For example, the face for the different colours of skin
Portion region A and face area B, above-mentioned terminal can select different noise reduction dynamics to carry out respectively to face area A and facial regions
Domain B carries out noise reduction process.
Step 104, according to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
In an embodiment of the present invention, above-mentioned terminal is determining that above-mentioned first noise reduction region corresponds to according to above-mentioned color parameter
Above-mentioned first noise reduction levels after, above-mentioned first noise reduction region can be carried out at noise reduction according to above-mentioned first noise reduction levels
Reason.
It should be noted that in an embodiment of the present invention, above-mentioned terminal determines above-mentioned in above-mentioned present image
One noise reduction region, and after determining above-mentioned first noise reduction levels according to the corresponding color parameter in above-mentioned first noise reduction region, just
Correspondingly noise reduction process can be carried out to above-mentioned first noise reduction region according to above-mentioned first noise reduction levels.
Fig. 5 is the schematic diagram for carrying out noise reduction process in the embodiment of the present invention to the first noise reduction region, as shown in figure 5, at this
In the embodiment of invention, when above-mentioned terminal determines that the first noise reduction region is human face region A and human face region B in present image
Later, human face region A and human face region B corresponding noise reduction levels a and noise reduction levels b can be determined respectively, then according to noise reduction
Grade a carries out human face region A noise reduction process, while carries out noise reduction process to human face region B according to noise reduction levels b.
Fig. 6 is the realization flow diagram two for the noise-reduction method that the embodiment of the present invention proposes, as shown in fig. 6, in the present invention
Embodiment in, above-mentioned biological characteristic of the above-mentioned terminal in above-mentioned present image, in above-mentioned present image determine it is above-mentioned
Before first noise reduction region, i.e., before step 101, the method that above-mentioned terminal carries out noise reduction can also include the following steps：
Biological characteristic in step 105, acquisition present image.
In an embodiment of the present invention, above-mentioned terminal is in the biological characteristic in above-mentioned present image, above-mentioned current
Before above-mentioned first noise reduction region is determined in image, the above-mentioned biological characteristic in above-mentioned present image can be first obtained.
Specifically, in an embodiment of the present invention, above-mentioned terminal can prestore pre-stored characteristics information bank, meanwhile, on
Characteristic information in above-mentioned present image can also be read by stating terminal, then according to above-mentioned pre-stored characteristics information bank and above-mentioned current
Characteristic information in image obtains the above-mentioned biological characteristic in above-mentioned present image.
The noise-reduction method that the embodiment of the present invention proposes, the biological characteristic in present image determine in present image
First noise reduction region；Wherein, the first noise reduction region is the human face region in present image；Read the corresponding color in the first noise reduction region
Colour parameter；First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels correspond to for characterizing the first noise reduction region
Noise reduction dynamics；According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.It can be seen that the embodiment of the present invention
A kind of noise-reduction method proposed can carry out noise reduction process to the human face region in present image according to corresponding noise reduction levels,
The noise-reduction method that the embodiment of the present invention proposes can also further determine noise reduction levels according to the color parameter of human face region, and
Noise reduction process is carried out, and then can effectively solve the problem that image section details is tight to corresponding human face region according to different noise reduction levels
It loses again, the problem of image after noise reduction is smudgy, so as to greatly improve the quality of image after noise reduction.
Embodiment two
Based on above-described embodiment one, Fig. 7 is the realization flow diagram three for the noise-reduction method that the embodiment of the present invention proposes, such as
Shown in Fig. 7, in an embodiment of the present invention, above-mentioned terminal can include according to the method that color parameter determines the first noise reduction levels
Following steps：
Step 103a, the corresponding levels of color in the first noise reduction region is determined according to color parameter.
In an embodiment of the present invention, above-mentioned terminal is after the corresponding color parameter in above-mentioned first noise reduction region is read,
Can the corresponding levels of color in above-mentioned first noise reduction region first be determined according to above-mentioned color parameter.
Specifically, in an embodiment of the present invention, different color parameters can be divided into difference by above-mentioned terminal in advance
Levels of color.For example, Fig. 8 is levels of color schematic diagram in the embodiment of the present invention, as shown in figure 8, in embodiments of the present invention,
Color parameter (A, B) can be divided into levels of color 1 by above-mentioned terminal, by color parameter [B, C) be divided into color circle 2, will
Color parameter [C, D) it is divided into color circle 3.
Step 103b, according to the correspondence of levels of color, preset color rank and noise reduction levels, first noise reduction etc. is determined
Grade.
In an embodiment of the present invention, above-mentioned terminal is determining that above-mentioned first noise reduction region corresponds to according to above-mentioned color parameter
Levels of color after, can according to the correspondence of above-mentioned levels of color, preset color rank and noise reduction levels, determine with it is upper
State corresponding above-mentioned first noise reduction levels of levels of color.
Further, in an embodiment of the present invention, above-mentioned terminal is corresponding above-mentioned according to above-mentioned first noise reduction region
It, can be according to pre-set above-mentioned preset color rank and drop after color parameter determines corresponding above-mentioned levels of color
The correspondence for grade of making an uproar determines noise reduction levels corresponding with above-mentioned levels of color, i.e., above-mentioned first noise reduction levels.Wherein,
In an embodiment of the present invention, above-mentioned first noise reduction levels are corresponding with above-mentioned first noise reduction region.
It should be noted that in an embodiment of the present invention, above-mentioned terminal can pre-set above-mentioned preset color rank
With the correspondence of noise reduction levels.Specifically, in an embodiment of the present invention, above-mentioned terminal can be according to pre-stored history
Noise reduction record is configured above-mentioned preset color rank and noise reduction levels, can also be operated according to the output of user to above-mentioned pre-
If levels of color and noise reduction levels are configured.
According to the description above it is found that 103a~103b, above-mentioned terminal are determined according to color parameter through the above steps
The corresponding levels of color in first noise reduction region；According to the correspondence of levels of color, preset color rank and noise reduction levels, determine
First noise reduction levels.It can be seen that a kind of noise-reduction method that the embodiment of the present invention proposes, it can be to the face area in present image
Domain carries out noise reduction process according to corresponding noise reduction levels, and the noise-reduction method that the embodiment of the present invention proposes can also be according to human face region
Color parameter further determine noise reduction levels, and according to different noise reduction levels to corresponding human face region carry out noise reduction at
Reason, and then can effectively solve the problem that the problem of image section details is seriously lost, the image after noise reduction is smudgy, so as to carry significantly
The quality of image after high noise reduction.
Embodiment three
Based on above-described embodiment one, Fig. 9 is the realization flow diagram four for the noise-reduction method that the embodiment of the present invention proposes, such as
Shown in Fig. 9, in an embodiment of the present invention, above-mentioned biological characteristic of the above-mentioned terminal in above-mentioned present image is worked as above-mentioned
After determining above-mentioned first noise reduction region in preceding image, i.e., after step 101, the method that above-mentioned terminal carries out noise reduction can also wrap
Include following steps：
Step 106, according to the first noise reduction region, the second noise reduction region is determined in present image；Wherein, the second noise reduction area
Domain is the non-face region in present image.
In an embodiment of the present invention, above-mentioned terminal is in the above-mentioned biological characteristic in above-mentioned present image, above-mentioned
After above-mentioned first noise reduction region is determined in present image, it can work as further according to above-mentioned first noise reduction region above-mentioned
Above-mentioned second noise reduction region is determined in preceding image.
It should be noted that in an embodiment of the present invention, above-mentioned second noise reduction region can be in above-mentioned present image
The corresponding human face region of above-mentioned biological characteristic except background area, specifically, above-mentioned second noise reduction region can be above-mentioned
Other regions except above-mentioned first noise reduction region in present image.
Step 107 obtains the second noise reduction levels；Wherein, the second noise reduction levels are corresponding for characterizing the second noise reduction region
Noise reduction dynamics.
In an embodiment of the present invention, above-mentioned terminal is according to above-mentioned first noise reduction region, in above-mentioned present image really
After making above-mentioned second noise reduction region, corresponding second noise reduction levels in above-mentioned second noise reduction region can be further obtained.
It should be noted that in an embodiment of the present invention, above-mentioned second noise reduction levels can be used for characterizing above-mentioned second
Noise reduction dynamics corresponding to noise reduction region.
Further, in an embodiment of the present invention, above-mentioned terminal can obtain above-mentioned second noise reduction in several ways
Grade.Specifically, in an embodiment of the present invention, it is above-mentioned can to record acquisition according to pre-stored history noise reduction for above-mentioned terminal
Second noise reduction levels；Meanwhile above-mentioned terminal can also determine above-mentioned second noise reduction levels according to the selection operation of user.
Step 108, according to the second noise reduction levels, noise reduction process is carried out to the second noise reduction region.
In an embodiment of the present invention, above-mentioned terminal obtain corresponding second noise reduction levels in above-mentioned second noise reduction region it
Afterwards, noise reduction process can be carried out to above-mentioned second noise reduction region according to above-mentioned second noise reduction levels.
It should be noted that in an embodiment of the present invention, above-mentioned terminal is worked as according to above-mentioned first noise reduction region is above-mentioned
Above-mentioned second noise reduction region is determined in preceding image, and after obtaining corresponding second noise reduction levels in above-mentioned second noise reduction region,
Correspondingly noise reduction process can be carried out to above-mentioned second noise reduction region according to above-mentioned second noise reduction levels.It is that is, above-mentioned
Terminal determined in above-mentioned present image with after non-face region, can be according to above-mentioned second noise reduction levels pair of acquisition
Above-mentioned non-face region in above-mentioned present image carries out noise reduction process.
The noise-reduction method that the embodiment of the present invention proposes, the biological characteristic in present image determine in present image
First noise reduction region；Wherein, the first noise reduction region is the human face region in present image；Read the corresponding color in the first noise reduction region
Colour parameter；First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels correspond to for characterizing the first noise reduction region
Noise reduction dynamics；According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.It can be seen that the embodiment of the present invention
A kind of noise-reduction method proposed can carry out noise reduction process to the human face region in present image according to corresponding noise reduction levels,
The noise-reduction method that the embodiment of the present invention proposes can also further determine noise reduction levels according to the color parameter of human face region, and
Noise reduction process is carried out, and then can effectively solve the problem that image section details is tight to corresponding human face region according to different noise reduction levels
It loses again, the problem of image after noise reduction is smudgy, so as to greatly improve the quality of image after noise reduction.
Example IV
Based on above-described embodiment one, Figure 10 is the realization flow diagram five for the noise-reduction method that the embodiment of the present invention proposes,
As shown in Figure 10, in an embodiment of the present invention, the method for the corresponding color parameter in above-mentioned the first noise reduction region of terminal reading can
To include the following steps：
Step 102a, it is at least two unit areas by the first noise reduction region division.
In an embodiment of the present invention, above-mentioned terminal is in the biological characteristic in above-mentioned present image, above-mentioned current
Can be at least two cellular zones by above-mentioned first noise reduction region division after above-mentioned first noise reduction region is determined in image
Domain.
It should be noted that in an embodiment of the present invention, above-mentioned terminal after above-mentioned first noise reduction region is determined,
Above-mentioned first noise reduction region can be divided, so as to obtain above-mentioned at least two unit area.Specifically, the present invention's
In embodiment, above-mentioned terminal can carry out above-mentioned first noise reduction region average division, obtain above-mentioned at least two unit area.
Step 102b, corresponding at least two color information at least two unit areas is obtained；Wherein, a unit area
A corresponding color information.
In an embodiment of the present invention, above-mentioned first noise reduction region division is being above-mentioned Unit at least two by above-mentioned terminal
After region, the corresponding color information in each unit region in above-mentioned at least two unit area can be obtained.
It should be noted that in an embodiment of the present invention, above-mentioned color information can be characterization said units region color
Color many kinds of parameters, specifically, in an embodiment of the present invention, above-mentioned color information can be gray value, brightness value or RGB
The many kinds of parameters such as value.
It should be noted that in an embodiment of the present invention, a unit area corresponds to a color information.
Step 102c, according at least two color informations, color parameter is determined.
In an embodiment of the present invention, above-mentioned terminal each unit region pair in above-mentioned at least two unit area is obtained
After the color information answered, can above-mentioned color parameter be determined according to above-mentioned at least two color information.
Specifically, in an embodiment of the present invention, above-mentioned terminal in above-mentioned first noise reduction region is determined it is above-mentioned extremely
After few corresponding above-mentioned at least two color information in two unit areas, can by a variety of methods further according to it is above-mentioned extremely
Few two color informations determine the corresponding above-mentioned color parameter in above-mentioned first noise reduction region.For example, above-mentioned terminal can be to above-mentioned
At least two color informations carry out mean value calculation or are weighted mean value calculation to above-mentioned at least two color information,
So as to obtain above-mentioned color parameter.
According to the description above it is found that 102a~102c, above-mentioned terminal draw the first noise reduction region through the above steps
It is divided at least two unit areas；Obtain corresponding at least two color information at least two unit areas；Wherein, a unit
Region corresponds to a color information；According at least two color informations, color parameter is determined.It can be seen that the embodiment of the present invention
A kind of noise-reduction method proposed can carry out noise reduction process to the human face region in present image according to corresponding noise reduction levels,
The noise-reduction method that the embodiment of the present invention proposes can also further determine noise reduction levels according to the color parameter of human face region, and
Noise reduction process is carried out, and then can effectively solve the problem that image section details is tight to corresponding human face region according to different noise reduction levels
It loses again, the problem of image after noise reduction is smudgy, so as to greatly improve the quality of image after noise reduction.
Embodiment five
Based on above-described embodiment four, Figure 11 is the realization flow diagram six for the noise-reduction method that the embodiment of the present invention proposes,
As shown in figure 11, in an embodiment of the present invention, above-mentioned terminal is according at least two color informations, the method for determining color parameter
It may comprise steps of：
Step 201 carries out average computation at least two color informations, obtains the average value of at least two color informations.
In an embodiment of the present invention, above-mentioned terminal each unit region pair in above-mentioned at least two unit area is obtained
After the color information answered, average computation can be carried out to above-mentioned at least two color information, obtain above-mentioned at least two color
The average value of information.
Average value is determined as color parameter by step 202.
In an embodiment of the present invention, above-mentioned terminal is carrying out average computation to above-mentioned at least two color information, obtains
After the average value of above-mentioned at least two color information, the average value can be determined as the color parameter.
Further, in an embodiment of the present invention, above-mentioned terminal is corresponding above-mentioned in acquisition the first noise reduction region
At least two color informations, and to above-mentioned two color information carry out mean value calculation after, can be by the above-mentioned average of acquisition
Value is determined as the corresponding above-mentioned color parameter in above-mentioned first noise reduction region.
The noise-reduction method that the embodiment of the present invention proposes, the biological characteristic in present image determine in present image
First noise reduction region；Wherein, the first noise reduction region is the human face region in present image；Read the corresponding color in the first noise reduction region
Colour parameter；First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels correspond to for characterizing the first noise reduction region
Noise reduction dynamics；According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.It can be seen that the embodiment of the present invention
A kind of noise-reduction method proposed can carry out noise reduction process to the human face region in present image according to corresponding noise reduction levels,
The noise-reduction method that the embodiment of the present invention proposes can also further determine noise reduction levels according to the color parameter of human face region, and
Noise reduction process is carried out, and then can effectively solve the problem that image section details is tight to corresponding human face region according to different noise reduction levels
It loses again, the problem of image after noise reduction is smudgy, so as to greatly improve the quality of image after noise reduction.
Embodiment six
Based on above-described embodiment one to embodiment five, Figure 12 is the composition structural representation for the terminal that the embodiment of the present invention proposes
Figure, in practical applications, under the same inventive concept based on embodiment one to embodiment five, as shown in figure 12, the present invention is implemented
The terminal 3 of example includes：Processor 31, memory 32 and communication bus 33.It should be noted that in the embodiment of the present invention
In, processor 31 and memory 32 in Figure 12 correspond to processor 110 and memory 109 in above-mentioned figure one respectively.Specific
During embodiment, above-mentioned processor 31 can be application-specific IC (Application Specific
Integrated Circuit, ASIC), digital signal processor (Digital Signal Processor, DSP), number letter
Number processing unit (Digital Signal Processing Device, DSPD), programmable logic device (Programmable
Logic Device, PLD), field programmable gate array (Field Programmable Gate Array, FPGA), centre
Manage at least one of device (Central Processing Unit, CPU), controller, microcontroller, microprocessor.It can manage
Xie Di, for different equipment, the electronic device for being used to implement above-mentioned processor function can also be other, the embodiment of the present invention
It is not especially limited.
In an embodiment of the present invention, above-mentioned communication bus 33 is used to implement the connection between processor 31 and memory 32
Communication；Above-mentioned processor 31 is used to perform the optimization program of the automatic white balance stored in memory 32, to realize following steps：
Biological characteristic in present image determines the first noise reduction region in present image；Wherein, the first noise reduction area
Domain is the human face region in present image；
Read the corresponding color parameter in the first noise reduction region；
First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels are for the first noise reduction region pair of characterization
The noise reduction dynamics answered；
According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
In an embodiment of the present invention, further, above-mentioned processor 31, specifically for determining first according to color parameter
The corresponding levels of color in noise reduction region；And the correspondence according to levels of color, preset color rank and noise reduction levels, it determines
First noise reduction levels.
In an embodiment of the present invention, further, above-mentioned processor 31, the biology being additionally operable in present image are special
Sign after determining the first noise reduction region in present image, according to the first noise reduction region, determines the second noise reduction in present image
Region；Wherein, the second noise reduction region is the non-face region in present image；And obtain the second noise reduction levels；Wherein, second
Noise reduction levels are for the corresponding noise reduction dynamics in the second noise reduction region of characterization；And according to the second noise reduction levels, to the second noise reduction area
Domain carries out noise reduction process.
In an embodiment of the present invention, further, above-mentioned processor 31, the biology being additionally operable in present image are special
Sign before determining the first noise reduction region in present image, obtains the biological characteristic in present image.
In an embodiment of the present invention, further, above-mentioned processor 31, also particularly useful for by the first noise reduction region division
For at least two unit areas；And obtain corresponding at least two color information at least two unit areas；Wherein, a list
First region corresponds to a color information；And according at least two color informations, determine color parameter.
In an embodiment of the present invention, further, above-mentioned processor 31, also particularly useful for at least two color informations
Average computation is carried out, obtains the average value of at least two color informations；And average value is determined as color parameter.
The terminal that the embodiment of the present invention proposes, the biological characteristic in present image determine first in present image
Noise reduction region；Wherein, the first noise reduction region is the human face region in present image；Read the corresponding color ginseng in the first noise reduction region
Number；First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels are for the corresponding drop in the first noise reduction region of characterization
It makes an uproar dynamics；According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.It can be seen that the embodiment of the present invention proposes
Terminal, can to the human face region in present image according to corresponding noise reduction levels carry out noise reduction process, the embodiment of the present invention
The noise-reduction method of proposition can also further determine noise reduction levels, and according to different drops according to the color parameter of human face region
Grade of making an uproar to corresponding human face region carry out noise reduction process, and then can effectively solve the problem that image section details seriously lose, noise reduction
The problem of image afterwards is smudgy, so as to greatly improve the quality of image after noise reduction.
The embodiment of the present invention provides a kind of computer readable storage medium, and above computer readable storage medium storing program for executing is stored with one
A either multiple program said ones or multiple programs can be performed by one or more processor, applied in terminal, be somebody's turn to do
The method such as embodiment one to embodiment five is realized when program is executed by processor.
Specifically, the corresponding program instruction of a kind of noise-reduction method in the present embodiment can be stored in CD, hard disk,
On the storage mediums such as USB flash disk, read by an electronic equipment when program instruction corresponding with a kind of noise-reduction method in storage medium or
It is performed, includes the following steps：
Biological characteristic in present image determines the first noise reduction region in present image；Wherein, the first noise reduction area
Domain is the human face region in present image；
Read the corresponding color parameter in the first noise reduction region；
First noise reduction levels are determined according to color parameter；Wherein, the first noise reduction levels are for the first noise reduction region pair of characterization
The noise reduction dynamics answered；
According to the first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
In an embodiment of the present invention, further, when determining the first noise reduction levels according to color parameter, said one or
The multiple programs of person can also be performed by said one or multiple processors, implement following steps：
The corresponding levels of color in first noise reduction region is determined according to color parameter；
According to the correspondence of levels of color, preset color rank and noise reduction levels, the first noise reduction levels are determined.
In an embodiment of the present invention, further, the biological characteristic in present image determines in present image
After first noise reduction region, either multiple programs are performed said one by said one or multiple processors, following to realize
Step：
According to the first noise reduction region, the second noise reduction region is determined in present image；Wherein, the second noise reduction region is current
Non-face region in image；
Obtain the second noise reduction levels；Wherein, the second noise reduction levels are for the corresponding noise reduction dynamics in the second noise reduction region of characterization；
According to the second noise reduction levels, noise reduction process is carried out to the second noise reduction region.
In an embodiment of the present invention, further, the biological characteristic in present image determines in present image
Before first noise reduction region, either multiple programs are performed said one by said one or multiple processors, following to realize
Step：
Obtain the biological characteristic in present image.
In an embodiment of the present invention, further, when reading the corresponding color parameter in the first noise reduction region, said one
Either multiple programs are performed by said one or multiple processors, implement following steps：
It is at least two unit areas by the first noise reduction region division；
Obtain corresponding at least two color information at least two unit areas；Wherein, a unit area corresponds to one
Color information；
According at least two color informations, color parameter is determined.
In an embodiment of the present invention, further, it is above-mentioned when determining color parameter according at least two color informations
One or more program is performed by said one or multiple processors, implements following steps：
Average computation is carried out at least two color informations, obtains the average value of at least two color informations；
Average value is determined as color parameter.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements not only include those elements, and
And it further includes other elements that are not explicitly listed or further includes intrinsic for this process, method, article or device institute
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this
Also there are other identical elements in the process of element, method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be embodied in the form of software product, which is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), used including some instructions so that a station terminal (can be mobile phone, computer services
Device, air conditioner or network equipment etc.) perform method described in each embodiment of the present invention.
The embodiment of the present invention is described above in conjunction with attached drawing, but the invention is not limited in above-mentioned specific
Embodiment, above-mentioned specific embodiment is only schematical rather than restricted, those of ordinary skill in the art
Under the enlightenment of the present invention, present inventive concept and scope of the claimed protection are not being departed from, can also made very much
Form, these are belonged within the protection of the present invention.
Claims (10)
1. a kind of noise-reduction method, which is characterized in that the method includes：
Biological characteristic in present image determines the first noise reduction region in the present image；Wherein, first drop
Region make an uproar as the human face region in the present image；
Read the corresponding color parameter in the first noise reduction region；
First noise reduction levels are determined according to the color parameter；Wherein, first noise reduction levels drop for characterizing described first
It makes an uproar the corresponding noise reduction dynamics in region；
According to first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
2. according to the method described in claim 1, it is characterized in that, described determine first noise reduction etc. according to the color parameter
Grade, including：
The corresponding levels of color in the first noise reduction region is determined according to the color parameter；
According to the correspondence of the levels of color, preset color rank and noise reduction levels, first noise reduction levels are determined.
3. according to the method described in claim 1, it is characterized in that, the biological characteristic in present image, described
After determining the first noise reduction region in present image, the method further includes：
According to the first noise reduction region, the second noise reduction region is determined in the present image；Wherein described second noise reduction area
Domain is the non-face region in the present image；
Obtain the second noise reduction levels；Wherein, second noise reduction levels are used to characterize the corresponding noise reduction in the second noise reduction region
Dynamics；
According to second noise reduction levels, noise reduction process is carried out to the second noise reduction region.
4. according to the method described in claim 1, it is characterized in that, the biological characteristic in present image, described
Before determining the first noise reduction region in present image, the method further includes：
Obtain the biological characteristic in the present image.
5. according to the method described in claim 1, it is characterized in that, described read the corresponding color ginseng in the first noise reduction region
Number, including：
It is at least two unit areas by the first noise reduction region division；
Obtain corresponding at least two color information at least two unit area；Wherein, a unit area corresponds to one
Color information；
According at least two color information, the color parameter is determined.
6. according to the method described in claim 5, it is characterized in that, described according at least two color information, institute is determined
Color parameter is stated, including：
Average computation is carried out at least two color information, obtains the average value of at least two color information；
The average value is determined as the color parameter.
7. a kind of terminal, which is characterized in that the terminal includes：Processor, memory and communication bus；The communication bus
The connection communication being used to implement between the processor and the memory；The processor is deposited for performing in the memory
The data of storage send program, to realize following steps：
Biological characteristic in present image determines the first noise reduction region in the present image；Wherein, first drop
Region make an uproar as the human face region in the present image；
Read the corresponding color parameter in the first noise reduction region；
First noise reduction levels are determined according to the color parameter；Wherein, first noise reduction levels drop for characterizing described first
It makes an uproar the corresponding noise reduction dynamics in region；
According to first noise reduction levels, noise reduction process is carried out to the first noise reduction region.
8. terminal according to claim 7, which is characterized in that
The processor, specifically for determining the corresponding levels of color in the first noise reduction region according to the color parameter；With
And the correspondence according to the levels of color, preset color rank and noise reduction levels, determine first noise reduction levels；And
It is at least two unit areas by the first noise reduction region division；And acquisition at least two unit area is corresponding extremely
Few two color informations；Wherein, a unit area corresponds to a color information；And believed according at least two color
Breath, determines the color parameter；And average computation is carried out at least two color information, obtain at least two color
The average value of multimedia message；And the average value is determined as the color parameter.
9. terminal according to claim 7, which is characterized in that
The processor is additionally operable to the biological characteristic in present image, and the first noise reduction area is determined in the present image
After domain, according to the first noise reduction region, the second noise reduction region is determined in the present image；Wherein described second noise reduction
Region is the non-face region in the present image；And obtain the second noise reduction levels；Wherein, second noise reduction levels are used
In the corresponding noise reduction dynamics in characterization the second noise reduction region；And according to second noise reduction levels, to second noise reduction
Region carries out noise reduction process；And the biological characteristic in present image, the first noise reduction area is determined in the present image
Before domain, the biological characteristic in the present image is obtained.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage there are one or
Multiple programs, one or more of programs can be performed by one or more processor, to realize that claim 1-6 such as appoints
Method described in one.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN111050026A (en) * | 2019-12-13 | 2020-04-21 | 努比亚技术有限公司 | Image noise reduction control method, terminal and computer readable storage medium |
| WO2020140986A1 (en) * | 2019-01-04 | 2020-07-09 | Oppo广东移动通信有限公司 | Image denoising method and apparatus, storage medium and terminal |
| CN111928947A (en) * | 2020-07-22 | 2020-11-13 | 广州朗国电子科技有限公司 | Forehead temperature measuring method and device based on low-precision face thermometer and thermometer |
| CN112967204A (en) * | 2021-03-23 | 2021-06-15 | 新疆爱华盈通信息技术有限公司 | Noise reduction processing method and system for thermal imaging and electronic equipment |
| CN114445093A (en) * | 2022-01-27 | 2022-05-06 | 黑龙江邮政易通信息网络有限责任公司 | Product management and control and anti-counterfeiting traceability system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2020140986A1 (en) * | 2019-01-04 | 2020-07-09 | Oppo广东移动通信有限公司 | Image denoising method and apparatus, storage medium and terminal |
| CN110599410A (en) * | 2019-08-07 | 2019-12-20 | 北京达佳互联信息技术有限公司 | Image processing method, device, terminal and storage medium |
| CN111050026A (en) * | 2019-12-13 | 2020-04-21 | 努比亚技术有限公司 | Image noise reduction control method, terminal and computer readable storage medium |
| CN111928947A (en) * | 2020-07-22 | 2020-11-13 | 广州朗国电子科技有限公司 | Forehead temperature measuring method and device based on low-precision face thermometer and thermometer |
| CN111928947B (en) * | 2020-07-22 | 2021-08-31 | 广州朗国电子科技有限公司 | Forehead temperature measuring method and device based on low-precision face thermometer and thermometer |
| CN112967204A (en) * | 2021-03-23 | 2021-06-15 | 新疆爱华盈通信息技术有限公司 | Noise reduction processing method and system for thermal imaging and electronic equipment |
| CN114445093A (en) * | 2022-01-27 | 2022-05-06 | 黑龙江邮政易通信息网络有限责任公司 | Product management and control and anti-counterfeiting traceability system |
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