CN106952235B - A kind of image processing method and mobile terminal - Google Patents
A kind of image processing method and mobile terminal Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The embodiment of the invention provides a kind of image processing method and mobile terminals, which comprises obtains input picture；Determine the classification information of the input picture；In preset image features, the corresponding image adjustment parameter value of classification information of the input picture is extracted；The input picture is adjusted using described image adjustment parameter value, obtains target image.In the embodiment of the present invention, effective Image Processing parameter value can be obtained according to original image and beautifying picture, the beautification of image is carried out using the Image Processing parameter value, realized to intelligently adjusting image parameter value, a kind of mode of new image beautification is provided, image processing step is saved.
Description
Technical field
The present invention relates to the technical fields of mobile terminal, whole more particularly to a kind of image processing method and a kind of movement
End.
Background technique
With the continuous development of electronic products, the mobile terminal with camera function is more more and more universal, and user can be at any time
It is taken pictures everywhere with it, resulting image is sent to relatives and friends in the form of multimedia short message etc., that is, claps and send out, convenient
Fast.
The mobile terminals such as smart phone are no longer simple meanss of communication, but collect the function such as leisure, amusement and communication
The craftwork of energy.Requirement of the user to effect of taking pictures is also higher and higher, and at the same time, mobile terminal user is also to taking pictures to obtain figure
As the visual effect presented be also it is higher and higher, mobile terminal effect of taking pictures is become better and better, but weaker to the processing of image,
The processing mode of offer is single, and user cannot get oneself desired image effect, and many image processing softwares can make fineness
Image but it is complicated for operation, it has not been convenient to user quickly to image carry out landscaping treatment.As it can be seen that existing mobile terminal is to image
Processing it is relatively simple, not smart enough, content is not abundant enough, be often only to provide the special-effect of certain framing masks, or
Certain cured processing forms are provided.
Summary of the invention
In view of the above problems, the embodiment of the present invention is proposed in order to provide a kind of a kind of image procossing for overcoming the above problem
Method and a kind of corresponding mobile terminal.
To solve the above-mentioned problems, the embodiment of the invention discloses a kind of image processing methods, are applied to mobile terminal, institute
The method of stating includes:
Obtain input picture；
Determine the classification information of the input picture；
In preset image features, the corresponding image adjustment parameter of classification information of the input picture is extracted
Value；
The input picture is adjusted using described image adjustment parameter value, obtains target image.
The embodiment of the invention also discloses a kind of mobile terminal, the mobile terminal includes:
Input picture obtains module, for obtaining input picture；
First category information determination module, for determining the classification information of the input picture；
First parameter value extraction module, for extracting the classification of the input picture in preset image features
The corresponding image adjustment parameter value of information；
Target image obtains module, for the input picture to be adjusted using described image adjustment parameter value, obtains
Obtain target image.
The embodiment of the present invention includes following advantages:
In the embodiment of the present invention, input picture is obtained；Determine the classification information of the input picture；It is special in preset image
It levies in parameter, extracts the corresponding image adjustment parameter value of classification information of the input picture；Using described image adjustment parameter
The input picture is adjusted in value, acquisition target image, in the embodiment of the present invention, can be schemed according to original image and beautification
As obtaining effective Image Processing parameter value, the beautification of image is carried out using the Image Processing parameter value, is realized to intelligently
Image parameter value is adjusted, a kind of mode of new image beautification is provided, image processing step is saved.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is a kind of step flow chart of image processing method embodiment one of the embodiment of the present invention；
Fig. 2 is a kind of step flow chart of image processing method embodiment two of the embodiment of the present invention；
Fig. 3 is a kind of structural block diagram of mobile terminal of Installation practice three in the embodiment of the present invention；
Fig. 4 is a kind of structural block diagram of mobile terminal of Installation practice four in the embodiment of the present invention；
Fig. 5 is a kind of structural block diagram of mobile terminal of Installation practice five in the embodiment of the present invention.
Specific embodiment
The technical issues of in order to keep the embodiment of the present invention solved, technical solution and beneficial effect are more clearly understood, with
The embodiment of the present invention is further described in lower combination accompanying drawings and embodiments.It should be appreciated that specific implementation described herein
Example is only used to explain the present invention, is not intended to limit the present invention.
Embodiment of the method one
Referring to Fig.1, a kind of step flow chart of image processing method embodiment one of the embodiment of the present invention is shown, is applied
In mobile terminal, it can specifically include following steps:
Step 101, input picture is obtained.
In the concrete realization, the embodiment of the present invention can be applied in the terminal, for example, mobile phone, tablet computer, individual
Digital assistants, wearable device (such as glasses, wrist-watch) etc..
In embodiments of the present invention, the operating system of mobile terminal may include Android (Android), IOS, Windows
Phone, Windows etc..
In the embodiment of the present invention, mobile terminal obtains input picture, which may include user using camera
The image of the acquisition of application program or user pass through the image that other approach (such as network) are got, the embodiment of the present invention
With no restriction to this.
Step 102, the classification information of the input picture is determined.
Further, mobile terminal can determine whether the classification information of input picture, can be passed through by the way of image recognition
The feature of identification input picture determines the classification information of input picture；The input can also be determined by way of model training
The classification information of image, for example, the feature of image can be any personage for accounting for the certain size of input picture, scape
Object or other objects, the feature for such as recognizing a certain input picture is face, then can be by the classification information of the input picture
It is defined as character image；For another example, when recognize input picture feature be a certain famous building, then the input can be schemed
The classification information of picture is defined as building object image, it should be noted that the feature and classification information of image in the embodiment of the present invention
May include artificially defined characteristics of image or image category, further, when certain input picture include simultaneously character image and
Object image is built, which can be determined according to the setting of user, i.e., a kind of input picture can wrap
Include multiple classification informations, the relationship between classification information and input picture can be it is one-to-one, be also possible to it is one-to-many, this
Inventive embodiments to this with no restriction.
Step 103, in preset image features, the corresponding image tune of classification information of the input picture is extracted
Save parameter value.
It applies in the embodiment of the present invention, after mobile terminal determines the classification information of the input picture, pre-
In the image features set, the corresponding image adjustment parameter value of category information, i.e. category information corresponding first are extracted
Adjustment parameter value and the second adjustment parameter value；In the embodiment of the present invention, the first adjustment parameter value, which can be, to be embodied under classification information
The general character of some the first image parameter value of original image, and and the second adjustment parameter value embodies the original image and beautifies accordingly
The characteristic of image, i.e. most people carry out the operation of landscaping treatment under category information to original image.
Step 104, the input picture is adjusted using described image adjustment parameter value, obtains target image.
Further, mobile terminal extracts the corresponding first adjustment parameter value of the category information and the second adjusting ginseng
Numerical value is adjusted for the input picture, obtains target image.
Specifically, can be and directly adjusted second the embodiment of the invention provides the mode that two kinds adjust input picture
Section parameter is set as the corresponding image parameter value of input picture, is also possible to generate in the display device of mobile terminal specific
Conditioning box, the conditioning box can be used for showing the numerical value of particular range, which is the first adjustment parameter value to described the
The range of two adjustment parameter values, user can choose any numerical value within the scope of this to adjust the corresponding image ginseng of input picture
Numerical value, for example, when the second adjustment parameter be brightness 210, then can directly be arranged brightness 210 be input picture brightness,
Further, if the first obtained adjustment parameter value is brightness 180, the display brightness 180- in the display device of mobile terminal
210 conditioning box can also include other first adjustment parameter values for selection by the user, in the embodiment of the present invention to described the
The regulative mode of two adjustment parameter values, the embodiment of the present invention do not limit specifically.
In the embodiment of the present invention, input picture is obtained, determines the classification information of the input picture, it is special in preset image
It levies in parameter, the corresponding image adjustment parameter value of classification information of the input picture is extracted, using described image adjustment parameter
The input picture is adjusted in value, obtains target image；In the embodiment of the present invention, it can be schemed according to original image and beautification
As obtaining effective Image Processing parameter value, the beautification of image is carried out using the Image Processing parameter value, is realized to intelligently
Image parameter value is adjusted, a kind of mode of new image beautification is provided, image processing step is saved.
Embodiment of the method two
Referring to Fig. 2, a kind of step flow chart of image processing method embodiment two of the embodiment of the present invention is shown, is applied
In mobile terminal, it can specifically include following steps:
Step 201, image data is acquired, described image data include original image and corresponding beautifying picture.
In the embodiment of the present invention, mobile terminal can be mentioned with acquiring image data or available device manufacturer on network
The image data of confession, wherein the image data may include original image and corresponding beautifying picture, i.e. original image and process
Image after landscaping treatment (as carried out landscaping treatment using software).
Step 202, the classification information of described image data is determined.
Specific in the embodiment of the present invention, mobile terminal can further determine the classification information of image data, classification letter
Breath can be the classification informations such as building, landscape, personage, and the embodiment of the present invention with no restriction, identifies described image data to this
Classification information can be and carried out by way of image recognition, the embodiment of the present invention to this with no restriction.
Preferably, the step of classification information of the determining described image data may include: to identify described image number
Characteristics of image in；The classification information of described image data is determined according to described image feature.
Step 203, the first image parameter value is extracted from the original image, and, it is extracted from the beautifying picture
Second image parameter value.
It applies in the embodiment of the present invention, mobile terminal extracts the first image parameter value from original image, this
One image parameter value may include the parameter value of the characterization characteristic image data such as brightness, saturation degree, transparency, the embodiment of the present invention
With no restriction to this.
Further, mobile terminal can also extract the second image parameter from the corresponding beautifying picture of the original image
Value, similarly, the second image parameter value may include the parameter value of the characterization characteristic image data such as brightness, saturation degree, transparency,
For example, the first image parameter value can be the brightness parameter value in original image, and the second image parameter value can be this
The brightness parameter value of the corresponding beautifying picture of original image if the brightness in original image is 100, and corresponds to the bright of beautifying picture
Spending parameter value is 140, obtains the first image parameter value and corresponding second image ginseng of a large amount of original image and beautifying picture
Numerical value.
Step 204, image adjustment parameter value is generated according to the first image parameter value and second image parameter value,
It is image features by described image adjustment parameter value and corresponding classification information tissue.
It is described according to the first image parameter value and described second in one of embodiment of the present invention preferred embodiment
Image parameter value generates image adjustment parameter value, is that image is special by described image adjustment parameter value and corresponding classification information tissue
The step of levying parameter includes: to be ranked up the numerical value of the first image parameter value, determines most identical of frequency of occurrence
Numerical value is the first adjustment parameter value；The numerical value of second image parameter value is ranked up, determines the most phase of frequency of occurrence
Same numerical value is the second adjustment parameter value；By the first adjustment parameter value and the corresponding second adjustment parameter value and classification
Information tissue is image features.
Further, the first image parameter value under the same classification information that will acquire is ranked up, and determines and occurs
The most numerical value of number is the first adjustment parameter value, similarly, the second image ginseng under the same classification information that will acquire
Numerical value is ranked up, and determines that the most numerical value of frequency of occurrence is the second adjustment parameter value, the first adjustment parameter value embodies such
The general character of some the first image parameter value of original image under other information；And to embody the original image corresponding for the second adjustment parameter value
Beautifying picture characteristic, i.e., most people under category information to original image carry out landscaping treatment operation.
For example, mobile terminal obtains 1000 original images and corresponding 1000 beautifying pictures from device manufacturer,
Wherein, which includes the original image and 30 corresponding beautifying pictures of original image of 30 Building class, every original
Beginning image may include the image parameter values such as brightness and transparency, the original image of 30 Building class it is bright after sequence
Spend parameter value can for 130,132,135,143,145,145,146,168,168,175,178,179,180,180,180,
180,196,196,198,199,203,205,207,211,212,215,218,219,220,221, because bright in original image
It is most to spend the number that parameter value is 180 appearance, it is determined that brightness 180 is the first adjustment parameter value；And corresponding 30 beautifications figure
The brightness parameter value after sequence of picture can for 142,143,144,145,165,166,166,178,178,185,190,
191,193,195,195,200,201,210,210,210,210,210,215,216,220,220,221,223,224,225,
Because being that 210 frequency of occurrence are most for beautifying picture brightness parameter value, it is determined that brightness 210 is the second adjustment parameter value；When
So, it is above-mentioned be only the first adjustment parameter value and the second adjustment parameter value in the embodiment of the present invention a kind of citing of value mode, this
Field technical staff can also be in the beautifying picture, in the most brightness parameter value of frequency of occurrence and its adjacent certain intervals
Brightness parameter value be averaged as the second adjustment parameter value, the embodiment of the present invention to specific value mode with no restriction；
It should be noted that the first adjustment parameter value can be joins including brightness, transparency and white balance etc. in the embodiment of the present invention
Number, i.e. the first adjustment parameter value can be one-to-one or one-to-many with each image parameter (brightness, transparency and white balance etc.)
Relationship, similarly, the second adjustment parameter value and each image parameter (brightness, transparency and white balance etc.) are also possible to a pair
One or one-to-many relationship further, can be in user in practical application the first adjustment parameter value and the second adjustment parameter value
When calling the second adjustment parameter value, multiple sub- display boxes are generated in the display device of mobile terminal, to show each image ginseng
Number, for selection by the user.
Present example apply in another preferred embodiment in, can be obtained according to the difference in multiple original image sources
It, further can also be according to the setting of those skilled in the art not to multiple first adjustment parameter values and the second adjustment parameter value
Same value mode obtains multiple first adjustment parameter values and the second adjustment parameter value, described image characteristic parameter further include image
Parameter value invariance curve, the method also includes: use the first adjustment parameter value and corresponding second adjustment parameter
Value generates image parameter value invariance curve.It is described to use the first adjustment parameter value and corresponding second adjustment parameter
The step of value, generation image parameter value invariance curve, can specifically include: be worth corresponding original image with the first adjustment parameter
Number is abscissa, using the numerical values recited of the first image parameter value as ordinate, establishes rectangular coordinate system；Described first is drawn to adjust
Parameter value and the second adjustment parameter value are saved in the scatterplot curve of the rectangular coordinate system；It generates each in the scatterplot curve
The characteristic point of first adjustment parameter value and corresponding second adjustment parameter value；The characteristic point is connected, image parameter value is generated and closes
Join curve.In the embodiment of the present invention, generates and establish also according to the first adjustment parameter value and the corresponding second adjustment parameter value
Rectangular coordinate system generates parameter value invariance curve.
Step 205, input picture is obtained.
In the embodiment of the present invention, mobile terminal can obtain input picture, which may include that user's use is taken the photograph
The image got as the image of the acquisition of head application program or user by other approach.
Step 206, the classification information of the input picture is determined.
Further, mobile terminal can determine whether the classification information of input picture, can be passed through by the way of image recognition
The feature of identification input picture determines the classification information of input picture.
Step 207, in preset image features, the corresponding image tune of classification information of the input picture is extracted
Save parameter value.
It applies in the embodiment of the present invention, after mobile terminal determines the classification information of the input picture, pre-
In the image features set, the corresponding image adjustment parameter value of category information, i.e. category information corresponding first are extracted
Adjustment parameter value and the second adjustment parameter value.
Step 208, the input picture is adjusted using described image adjustment parameter value, obtains target image.
Further, mobile terminal extracts the corresponding first adjustment parameter value of the category information and the second adjusting ginseng
Numerical value is adjusted for the input picture, obtains target image.
It is described that the input is schemed using described image adjustment parameter value in a kind of preferred embodiment of the embodiment of the present invention
As the step of being adjusted, obtaining target image includes: to set the corresponding figure of input picture for the second adjustment parameter value
As parameter value, target image is obtained.Specifically, the second adjustment parameter value multiple beautifying pictures obtained is used to adjust input figure
As corresponding image parameter value, target image is obtained.
In another preferred embodiment of the embodiment of the present invention, the mobile terminal includes display device, in display device
In show the numerical value of particular range；Wherein, the particular range is the first adjustment parameter value to the second adjustment parameter value
Range；Receive the selection operation that user is directed to the particular range；Set described defeated for the corresponding numerical value of the selection operation
Enter the corresponding image parameter value of image, generates target image, e.g., the attribute of the first adjustment parameter value and the second adjustment parameter value
For brightness, the slider bar of one 180 (the first adjustment parameter value) -210 (the second adjustment parameter value) is shown on the display apparatus, is connect
The slip event of user on the slider bar is received, determines that some numerical value of slip event terminal is the corresponding image parameter of input picture
It is worth (such as brightness), the brightness of the input picture is set, obtains the target image after brightness changes.
For reality, it can be obtained by setting the corresponding image parameter value of input picture for the second adjustment parameter value
Target image, if the second adjustment parameter value is brightness parameter value, then the brightness parameter value that input picture is arranged is second tune
Save the numerical value of parameter value.
Preferably, the method also includes: input picture handled as target according to described image parameter value invariance curve
Image.
Preferably, described image parameter value invariance curve is divided into the sub- curve of multiple images parameter value association, described according to institute
Stating image parameter value invariance curve and handling input picture for the step of target image includes: using described multiple images parameter value
It is associated with the correlativity that sub- curve establishes the second adjustment parameter value；The image parameter of input picture is adjusted using the correlativity
Value generates target image.
In the embodiment of the present invention, the phase of the pass of two image parameter values can also be established by image parameter value invariance curve
Pass relationship adjusts the image parameter value of input picture using the correlativity.
In the embodiment of the present invention, image data is acquired, described image data include original image and corresponding beautifying picture,
The classification information for determining described image data extracts the first image parameter value from the original image, and, from the beautification
The second image parameter value is extracted in image, generates image tune according to the first image parameter value and second image parameter value
Parameter value is saved, is image features by described image adjustment parameter value and corresponding classification information tissue, obtains input picture,
It determines the classification information of the input picture, further, in preset image features, extracts the input picture
The corresponding image adjustment parameter value of classification information is adjusted the input picture using described image adjustment parameter value, obtains
Target image is obtained, is analyzed by the data to a large amount of image, the adjustment parameter value of image after beautification is extracted；The adjusting is joined
Numerical value is used for the beautification of image；It realizes to image parameter value is intelligently adjusted, image processing effect abundant is provided.
It should be noted that for simple description, therefore, it is stated as a series of action groups for embodiment of the method
It closes, but those skilled in the art should understand that, embodiment of that present invention are not limited by the describe sequence of actions, because according to
According to the embodiment of the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art also should
Know, the embodiments described in the specification are all preferred embodiments, and the related movement not necessarily present invention is implemented
Necessary to example.
Installation practice three
Fig. 3 is the structural block diagram of the mobile terminal of one embodiment of the invention.Mobile terminal 300 shown in Fig. 3 include with
Lower module:
Input picture obtains module 301, for obtaining input picture；
First category information determination module 302, for determining the classification information of the input picture；
First parameter value extraction module 303, for extracting the class of the input picture in preset image features
The corresponding image adjustment parameter value of other information；
Target image obtains module 304, for the input picture to be adjusted using described image adjustment parameter value,
Obtain target image.
Preferably, the module being connected with the first parameter value extraction module further include:
Image data acquiring module 305, for acquiring image data, described image data include original image and corresponding
Beautifying picture；
Second category information determination module 306, for determining the classification information of described image data；
Second parameter value extraction module 307, for extracting the first image parameter value from the original image, and, from
The second image parameter value is extracted in the beautifying picture；
Image features obtain module 308, for according to the first image parameter value and second image parameter
Value generates image adjustment parameter value, is image features by described image adjustment parameter value and corresponding classification information tissue.
Preferably, the first category information determination module 302 includes:
Characteristics of image identifies submodule, for identification the characteristics of image in described image data out；
Classification information determines submodule, for determining the classification information of described image data according to described image feature.
Preferably, described image characteristic parameter acquisition module 308 includes:
First adjustment parameter value determines submodule, for the first image parameter value to be ranked up, determines occurrence
The most identical numerical value of number is the first adjustment parameter value；
Second adjustment parameter value determines submodule, for second image parameter value to be ranked up, determines occurrence
The most identical numerical value of number is the second adjustment parameter value；
Image features obtain submodule, for being adjusted using the first adjustment parameter value and corresponding described second
Parameter value generates image adjustment parameter value；
Image features tissue submodule, for being that image is special by described image adjustment parameter value and classification information tissue
Levy parameter.
Preferably, the target image acquisition module 304 includes:
First object image obtains submodule, joins for setting the corresponding image of input picture for the second adjustment parameter value
Numerical value obtains target image.
Preferably, the mobile terminal includes display device, and the target image obtains module 304 further include:
Show submodule, for showing the numerical value of particular range in a display device；Wherein, the particular range is first
Adjustment parameter value to the second adjustment parameter value range；
Receiving submodule, the selection operation for being directed to the particular range for receiving user；
Target image generates submodule, corresponding for setting the input picture for the corresponding numerical value of the selection operation
Image parameter value, generate target image.
Preferably, described image characteristic parameter further includes image parameter value invariance curve, and the mobile terminal 300 also wraps
It includes:
Invariance curve generation module 309 is generated for using the first adjustment parameter value and corresponding second adjustment parameter value
Image parameter value invariance curve.
Preferably, the invariance curve generation module 309 includes:
Establishment of coordinate system submodule, for being worth the number of corresponding original image using the first adjustment parameter as abscissa, with
The numerical values recited of first image parameter value is ordinate, establishes rectangular coordinate system；
Rendering submodule is sat for drawing the first adjustment parameter value and the second adjustment parameter value at the right angle
Mark the scatterplot curve of system；
Characteristic point generates submodule, for generating each first adjustment parameter value and corresponding second in the scatterplot curve
The characteristic point of adjustment parameter value；
Invariance curve submodule generates image parameter value invariance curve for connecting the characteristic point.
Mobile terminal embodiment of the invention is able to achieve each step in the embodiment of the method for Fig. 1 to Fig. 2, to avoid repeating,
Details are not described herein.The mobile terminal 300 of the embodiment of the present invention obtains input picture, determines the classification letter of the input picture
Breath, in preset image features, extracts the corresponding image adjustment parameter value of classification information of the input picture, uses
The input picture is adjusted in described image adjustment parameter value, obtains target image；It, can basis in the embodiment of the present invention
Original image and beautifying picture obtain effective Image Processing parameter value, and the beauty of image is carried out using the Image Processing parameter value
Change, realizes and a kind of mode of new image beautification is provided image parameter value is intelligently adjusted, save image processing step.
Installation practice four
Fig. 4 is the structural block diagram of the mobile terminal of another embodiment of the present invention.Mobile terminal 400 shown in Fig. 4 includes:
At least one processor 401, memory 402, at least one network interface 404 and other users interface 403 and component of taking pictures
406.Various components in mobile terminal 400 are coupled by bus system 405.It is understood that bus system 405 is for real
Connection communication between these existing components.Bus system 405 further includes power bus, controls always in addition to including data/address bus
Line and status signal bus in addition.But for the sake of clear explanation, various buses are all designated as bus system 405 in Fig. 4, are taken pictures
Component 406 includes camera.
Wherein, user interface 403 may include display, keyboard or pointing device (for example, mouse, trace ball
(trackball), touch-sensitive plate or touch screen etc..
It is appreciated that the memory 402 in the embodiment of the present invention can be volatile memory or nonvolatile memory,
It or may include both volatile and non-volatile memories.Wherein, nonvolatile memory can be read-only memory (Read-
OnlyMemory, ROM), programmable read only memory (ProgrammableROM, PROM), Erasable Programmable Read Only Memory EPROM
(ErasablePROM, EPROM), electrically erasable programmable read-only memory (ElectricallyEPROM, EEPROM) dodge
It deposits.Volatile memory can be random access memory (RandomAccessMemory, RAM), and it is slow to be used as external high speed
It deposits.By exemplary but be not restricted explanation, the RAM of many forms is available, such as static random access memory
(StaticRAM, SRAM), dynamic random access memory (DynamicRAM, DRAM), Synchronous Dynamic Random Access Memory
(SynchronousDRAM, SDRAM), double data speed synchronous dynamic RAM (DoubleDataRate
SDRAM, DDRSDRAM), enhanced Synchronous Dynamic Random Access Memory (Enhanced SDRAM, ESDRAM), synchronized links
Dynamic random access memory (SynchlinkDRAM, SLDRAM) and direct rambus random access memory
(DirectRambusRAM, DRRAM).The memory 402 of the system and method for description of the embodiment of the present invention is intended to include but unlimited
In the memory of these and any other suitable type.
In some embodiments, memory 402 stores following element, executable modules or data structures, or
Their subset of person or their superset: operating system 4021 and application program 4022.
Wherein, operating system 4021 include various system programs, such as ccf layer, core library layer, driving layer etc., are used for
Realize various basic businesses and the hardware based task of processing.Application program 4022 includes various application programs, such as media
Player (MediaPlayer), browser (Browser) etc., for realizing various applied business.Realize embodiment of the present invention side
The program of method may be embodied in application program 4022.
In embodiments of the present invention, by the program or instruction of calling memory 402 to store, specifically, can be application
The program or instruction stored in program 4022, processor 401 is for obtaining input picture；Determine the classification letter of the input picture
Breath；In preset image features, the corresponding image adjustment parameter value of classification information of the input picture is extracted；Using
The input picture is adjusted in described image adjustment parameter value, obtains target image.
The method that the embodiments of the present invention disclose can be applied in processor 401, or be realized by processor 401.
Processor 401 may be a kind of IC chip, the processing capacity with signal.During realization, the above method it is each
Step can be completed by the integrated logic circuit of the hardware in processor 401 or the instruction of software form.Above-mentioned processing
Device 401 can be general processor, digital signal processor (DigitalSignalProcessor, DSP), specific integrated circuit
(ApplicationSpecific IntegratedCircuit, ASIC), ready-made programmable gate array
(FieldProgrammableGateArray, FPGA) either other programmable logic device, discrete gate or transistor logic
Device, discrete hardware components.It may be implemented or execute disclosed each method, step and the logical box in the embodiment of the present invention
Figure.General processor can be microprocessor or the processor is also possible to any conventional processor etc..In conjunction with the present invention
The step of method disclosed in embodiment, can be embodied directly in hardware decoding processor and execute completion, or use decoding processor
In hardware and software module combination execute completion.Software module can be located at random access memory, and flash memory, read-only memory can
In the storage medium of this fields such as program read-only memory or electrically erasable programmable memory, register maturation.The storage
Medium is located at memory 402, and processor 401 reads the information in memory 402, and the step of the above method is completed in conjunction with its hardware
Suddenly.
It is understood that the embodiment of the present invention description these embodiments can with hardware, software, firmware, middleware,
Microcode or combinations thereof is realized.For hardware realization, processing unit be may be implemented in one or more specific integrated circuit (App
LicationSpecificIntegratedCircuits, ASIC), digital signal processor
(DigitalSignalProcessing, DSP), digital signal processing appts (DSPDevice, DSPD), programmable logic device
(ProgrammableLogicDevice, PLD), field programmable gate array (Field-ProgrammableGateArray,
FPGA), general processor, controller, microcontroller, microprocessor, other electronics lists for executing herein described function
In member or combinations thereof.
For software implementations, can by execute the embodiment of the present invention described in function module (such as process, function etc.) come
Realize technology described in the embodiment of the present invention.Software code is storable in memory and is executed by processor.Memory can
With portion realizes in the processor or outside the processor.
Optionally, processor 401 is also used to: acquisition image data, and described image data include original image and corresponding
Beautifying picture；Determine the classification information of described image data；The first image parameter value is extracted from the original image, and,
The second image parameter value is extracted from the beautifying picture；According to the first image parameter value and second image parameter value
Image adjustment parameter value is generated, is image features by described image adjustment parameter value and corresponding classification information tissue.
Optionally, processor 401 is also used to: identifying the characteristics of image in described image data；According to described image spy
Levy the classification information for determining described image data.
Optionally, processor 401 is also used to: the first image parameter value being ranked up, determines that frequency of occurrence is most
Identical numerical value be the first adjustment parameter value；Second image parameter value is ranked up, determines that frequency of occurrence is most
Identical numerical value is the second adjustment parameter value；It is raw using the first adjustment parameter value and the corresponding second adjustment parameter value
At image adjustment parameter value；It is image features by described image adjustment parameter value and classification information tissue.
Optionally, processor 401 is also used to: setting the corresponding image parameter of input picture for the second adjustment parameter value
Value obtains target image.
Optionally, the mobile terminal includes display device.
Optionally, processor 401 is also used to: showing the numerical value of particular range in a display device；Wherein, the specific model
Enclose the range for the first adjustment parameter value to the second adjustment parameter value；Receive the selection operation that user is directed to the particular range；
The corresponding image parameter value of the input picture is set by the corresponding numerical value of the selection operation, generates target image.
Optionally, processor 401 is also used to: being used the first adjustment parameter value and corresponding second adjustment parameter value, is generated
Image parameter value invariance curve.
Optionally, processor 401 is also used to: the number of corresponding original image is worth as abscissa using the first adjustment parameter,
Using the numerical values recited of the first image parameter value as ordinate, rectangular coordinate system is established；Draw the first adjustment parameter value and institute
The second adjustment parameter value is stated in the scatterplot curve of the rectangular coordinate system；Generate each first adjustment parameter in the scatterplot curve
The characteristic point of value and corresponding second adjustment parameter value；The characteristic point is connected, image parameter value invariance curve is generated.
Mobile terminal 400 can be realized each process that mobile terminal is realized in previous embodiment, to avoid repeating, here
It repeats no more.
In the embodiment of the present invention, image data is acquired, described image data include original image and corresponding beautifying picture,
The classification information for determining described image data extracts the first image parameter value from the original image, and, from the beautification
The second image parameter value is extracted in image, generates image tune according to the first image parameter value and second image parameter value
Parameter value is saved, is image features by described image adjustment parameter value and corresponding classification information tissue, obtains input picture,
It determines the classification information of the input picture, further, in preset image features, extracts the input picture
The corresponding image adjustment parameter value of classification information is adjusted the input picture using described image adjustment parameter value, obtains
Target image is obtained, is analyzed by the data to a large amount of image, the adjustment parameter value of image after beautification is extracted；The adjusting is joined
Numerical value is used for the beautification of image；It realizes to image parameter value is intelligently adjusted, image processing effect abundant is provided.
Installation practice five
Fig. 5 is the structural block diagram of the mobile terminal of another embodiment of the present invention.Specifically, the mobile terminal in Fig. 5
500 can be mobile phone, tablet computer, personal digital assistant (PersonalDigital Assistant, PDA) or vehicle-mounted computer
Deng.
Mobile terminal 500 in Fig. 5 includes radio frequency (RadioFrequency, RF) circuit 510, memory 520, input list
Member 530, display unit 540, processor 560, voicefrequency circuit 570, WiFi (WirelessFidelity) module 580 and power supply
It 590 and takes pictures component 5100.
Wherein, input unit 530 can be used for receiving the number or character information of user's input, and generation and mobile terminal
The related signal input of 500 user setting and function control.Specifically, in the embodiment of the present invention, which can
To include touch panel 531.Touch panel 531, also referred to as touch screen collect the touch operation of user on it or nearby
(for example user uses the operations of any suitable object or attachment on touch panel 531 such as finger, stylus), and according to preparatory
The formula of setting drives corresponding attachment device.Optionally, touch panel 531 may include touch detecting apparatus and touch controller
Two parts.Wherein, the touch orientation of touch detecting apparatus detection user, and touch operation bring signal is detected, by signal
Send touch controller to；Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate,
The processor 560 is given again, and can be received order that processor 560 is sent and be executed.Furthermore, it is possible to using resistance-type,
The multiple types such as condenser type, infrared ray and surface acoustic wave realize touch panel 531.In addition to touch panel 531, input unit
530 can also include other input equipments 532, other input equipments 532 can include but is not limited to physical keyboard, function key
One of (such as volume control button, switch key etc.), trace ball, mouse, operating stick etc. are a variety of.
Wherein, display unit 540 can be used for showing information input by user or be supplied to the information and movement of user
The various menu interfaces of terminal 500.Display unit 540 may include display panel 541, optionally, can use LCD or organic hair
The forms such as optical diode (OrganicLight-EmittingDiode, OLED) configure display panel 541.
It should be noted that touch panel 531 can cover display panel 541, touch display screen is formed, when the touch display screen is examined
After measuring touch operation on it or nearby, processor 560 is sent to determine the type of touch event, is followed by subsequent processing device
560 provide corresponding visual output according to the type of touch event in touch display screen.
Touch display screen includes Application Program Interface viewing area and common control viewing area.The Application Program Interface viewing area
And arrangement mode of the common control viewing area does not limit, can be arranged above and below, left-right situs etc. can distinguish two it is aobvious
Show the arrangement mode in area.The Application Program Interface viewing area is displayed for the interface of application program.Each interface can be with
The interface elements such as the icon comprising at least one application program and/or widget desktop control.The Application Program Interface viewing area
Or the empty interface not comprising any content.This commonly uses control viewing area for showing the higher control of utilization rate, for example,
Application icons such as button, interface number, scroll bar, phone directory icon etc. are set.
Component 5100 of taking pictures includes camera.
Wherein processor 560 is the control centre of mobile terminal 500, utilizes various interfaces and connection whole mobile phone
Various pieces, by running or executing the software program and/or module that are stored in first memory 521, and calling storage
Data in second memory 522 execute the various functions and processing data of mobile terminal 500, thus to mobile terminal 500
Carry out integral monitoring.Optionally, processor 560 may include one or more processing units.
In embodiments of the present invention, by call store the first memory 521 in software program and/or module and/
Or the data in the second memory 522, processor 560 is for obtaining input picture；Determine the classification letter of the input picture
Breath；In preset image features, the corresponding image adjustment parameter value of classification information of the input picture is extracted；Using
The input picture is adjusted in described image adjustment parameter value, obtains target image.
Optionally, processor 560 is also used to: acquisition image data, and described image data include original image and corresponding
Beautifying picture；Determine the classification information of described image data；The first image parameter value is extracted from the original image, and,
The second image parameter value is extracted from the beautifying picture；According to the first image parameter value and second image parameter value
Image adjustment parameter value is generated, is image features by described image adjustment parameter value and corresponding classification information tissue.
Optionally, processor 560 is also used to: identifying the characteristics of image in described image data；According to described image spy
Levy the classification information for determining described image data.
Optionally, processor 560 is also used to: the first image parameter value being ranked up, determines that frequency of occurrence is most
Identical numerical value be the first adjustment parameter value；Second image parameter value is ranked up, determines that frequency of occurrence is most
Identical numerical value is the second adjustment parameter value；It is raw using the first adjustment parameter value and the corresponding second adjustment parameter value
At image adjustment parameter value；It is image features by described image adjustment parameter value and classification information tissue.
Optionally, processor 560 is also used to: setting the corresponding image parameter of input picture for the second adjustment parameter value
Value obtains target image.
Optionally, the mobile terminal includes display device.
Optionally, processor 560 is also used to: showing the numerical value of particular range in a display device；Wherein, the specific model
Enclose the range for the first adjustment parameter value to the second adjustment parameter value；Receive the selection operation that user is directed to the particular range；
The corresponding image parameter value of the input picture is set by the corresponding numerical value of the selection operation, generates target image.
Optionally, processor 560 is also used to: being used the first adjustment parameter value and corresponding second adjustment parameter value, is generated
Image parameter value invariance curve.
Optionally, processor 560 is also used to: the number of corresponding original image is worth as abscissa using the first adjustment parameter,
Using the numerical values recited of the first image parameter value as ordinate, rectangular coordinate system is established；Draw the first adjustment parameter value and institute
The second adjustment parameter value is stated in the scatterplot curve of the rectangular coordinate system；Generate each first adjustment parameter in the scatterplot curve
The characteristic point of value and corresponding second adjustment parameter value；The characteristic point is connected, image parameter value invariance curve is generated.As it can be seen that
In the embodiment of the present invention, input picture is obtained, the classification information of the input picture is determined, in preset image features
In, the corresponding image adjustment parameter value of classification information of the input picture is extracted, using described image adjustment parameter value to institute
It states input picture to be adjusted, obtains target image；In the embodiment of the present invention, it can be obtained according to original image and beautifying picture
Effective Image Processing parameter value, the beautification of image is carried out using the Image Processing parameter value, is realized and is schemed to intelligently adjusting
As parameter value, a kind of mode of new image beautification is provided, image processing step is saved.
Those of ordinary skill in the art may be aware that the embodiment in conjunction with disclosed in the embodiment of the present invention describe it is each
Exemplary unit and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In embodiment provided herein, it should be understood that disclosed device and method can pass through others
Mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of device or unit
It connects, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, ROM, RAM, magnetic or disk etc. are various can store program code
Medium.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (12)
1. a kind of image processing method, which is characterized in that be applied to mobile terminal, which comprises
Obtain input picture；
Determine the classification information of the input picture；
In preset image features, the corresponding image adjustment parameter value of classification information of the input picture is extracted；
The input picture is adjusted using described image adjustment parameter value, obtains target image；
Wherein, described in preset image features, the corresponding image adjustment parameter value of the classification information is extracted
Before step, further includes:
Image data is acquired, described image data include original image and corresponding beautifying picture；
Determine the classification information of described image data；
The first image parameter value is extracted from the original image, and, the second image parameter is extracted from the beautifying picture
Value；
Image adjustment parameter value is generated according to the first image parameter value and second image parameter value, by described image tune
It saves parameter value and corresponding classification information tissue is image features；
The mobile terminal includes display device, described to be adjusted using described image adjustment parameter value to the input picture
Section, obtain target image the step of include:
Show the numerical value of particular range in a display device；Wherein, the particular range is the first adjustment parameter value to the second tune
Save the range of parameter value；
Receive the selection operation that user is directed to the particular range；
The corresponding image parameter value of the input picture is set by the corresponding numerical value of the selection operation, generates target image.
2. the method according to claim 1, wherein the step of classification information of the determining described image data
Include:
Identify the characteristics of image in described image data；
The classification information of described image data is determined according to described image feature.
3. the method according to claim 1, wherein described according to the first image parameter value and described second
Image parameter value generates image adjustment parameter value, is that image is special by described image adjustment parameter value and corresponding classification information tissue
Levy parameter the step of include:
The first image parameter value is ranked up, determines that the most identical numerical value of frequency of occurrence is the first adjustment parameter
Value；
Second image parameter value is ranked up, determines that the most identical numerical value of frequency of occurrence is the second adjustment parameter
Value；
Image adjustment parameter value is generated using the first adjustment parameter value and the corresponding second adjustment parameter value；
It is image features by described image adjustment parameter value and classification information tissue.
4. method according to claim 1 or 3, which is characterized in that described to use described image adjustment parameter value to described
Input picture is adjusted, obtain target image the step of include:
The corresponding image parameter value of input picture is set by the second adjustment parameter value, obtains target image.
5. the method according to claim 1, wherein described image characteristic parameter further includes image parameter value association
Curve, the method also includes:
Using the first adjustment parameter value and corresponding second adjustment parameter value, image parameter value invariance curve is generated.
6. according to the method described in claim 5, it is characterized in that, described use the first adjustment parameter value and corresponding second tune
Save parameter value, generate image parameter value invariance curve the step of include:
It is worth the number of corresponding original image as abscissa using the first adjustment parameter, the numerical values recited with the first image parameter value is
Ordinate establishes rectangular coordinate system；
The first adjustment parameter value and the second adjustment parameter value are drawn in the scatterplot curve of the rectangular coordinate system；
Generate the characteristic point of each first adjustment parameter value and corresponding second adjustment parameter value in the scatterplot curve；
The characteristic point is connected, image parameter value invariance curve is generated.
7. a kind of mobile terminal, which is characterized in that the mobile terminal includes:
Input picture obtains module, for obtaining input picture；
First category information determination module, for determining the classification information of the input picture；
First parameter value extraction module, for extracting the classification information of the input picture in preset image features
Corresponding image adjustment parameter value；
Target image obtains module, for the input picture to be adjusted using described image adjustment parameter value, obtains mesh
Logo image；
Wherein, the module being connected with the first parameter value extraction module further include:
Image data acquiring module, for acquiring image data, described image data include original image and corresponding beautification figure
Picture；
Second category information determination module, for determining the classification information of described image data；
Second parameter value extraction module, for extracting the first image parameter value from the original image, and, from the beautification
The second image parameter value is extracted in image；
Image features obtain module, for generating figure according to the first image parameter value and second image parameter value
It is image features by described image adjustment parameter value and corresponding classification information tissue as adjustment parameter value；
The mobile terminal includes display device, and the target image obtains module further include:
Show submodule, for showing the numerical value of particular range in a display device；Wherein, the particular range is the first adjusting
Parameter value to the second adjustment parameter value range；
Receiving submodule, the selection operation for being directed to the particular range for receiving user；
Target image generates submodule, for setting the corresponding figure of the input picture for the corresponding numerical value of the selection operation
As parameter value, target image is generated.
8. mobile terminal according to claim 7, which is characterized in that the first category information determination module includes:
Characteristics of image identifies submodule, for identification the characteristics of image in described image data out；
Classification information determines submodule, for determining the classification information of described image data according to described image feature.
9. mobile terminal according to claim 7, which is characterized in that described image characteristic parameter obtains module and includes:
First adjustment parameter value determines submodule, for the first image parameter value to be ranked up, determines frequency of occurrence most
More identical numerical value is the first adjustment parameter value；
Second adjustment parameter value determines submodule, for second image parameter value to be ranked up, determines frequency of occurrence most
More identical numerical value is the second adjustment parameter value；
Image features generate submodule, for using the first adjustment parameter value and corresponding second adjustment parameter
Value generates image adjustment parameter value；
Image features tissue submodule, for being characteristics of image ginseng by described image adjustment parameter value and classification information tissue
Number.
10. the mobile terminal according to claim 7 or 9, which is characterized in that the target image obtains module and includes:
First object image obtains submodule, for setting the corresponding image parameter of input picture for the second adjustment parameter value
Value obtains target image.
11. mobile terminal according to claim 7, which is characterized in that described image characteristic parameter further includes image parameter
It is worth invariance curve, the mobile terminal further include:
Invariance curve generation module generates image ginseng for using the first adjustment parameter value and corresponding second adjustment parameter value
Numerical associations curve.
12. mobile terminal according to claim 11, which is characterized in that the invariance curve generation module includes:
Establishment of coordinate system submodule, for being worth the number of corresponding original image using the first adjustment parameter as abscissa, with first
The numerical values recited of image parameter value is ordinate, establishes rectangular coordinate system；
Rendering submodule, for drawing the first adjustment parameter value and the second adjustment parameter value in the rectangular coordinate system
Scatterplot curve；
Characteristic point generates submodule, for generating each first adjustment parameter value and corresponding second adjusting in the scatterplot curve
The characteristic point of parameter value；
Invariance curve submodule generates image parameter value invariance curve for connecting the characteristic point.
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| CN107832845A (en) | 2017-10-30 | 2018-03-23 | 上海寒武纪信息科技有限公司 | A kind of information processing method and Related product |
| CN107705247B (en) * | 2017-10-31 | 2021-06-15 | 努比亚技术有限公司 | Image saturation adjusting method, terminal and storage medium |
| CN109960973B (en) * | 2017-12-22 | 2021-06-15 | Oppo广东移动通信有限公司 | Photo adjusting method and device, storage medium and electronic equipment |
| CN110231903B (en) * | 2018-03-05 | 2022-05-31 | 斑马智行网络(香港)有限公司 | Parameter adjusting method and device |
| CN109002787B (en) * | 2018-07-09 | 2021-02-23 | Oppo广东移动通信有限公司 | Image processing method and device, storage medium and electronic equipment |
| US12094456B2 (en) | 2018-09-13 | 2024-09-17 | Shanghai Cambricon Information Technology Co., Ltd. | Information processing method and system |
| CN109801209B (en) * | 2019-01-29 | 2023-12-05 | 爱芯元智半导体(宁波)有限公司 | Parameter prediction method, artificial intelligent chip, equipment and system |
| CN110163162A (en) * | 2019-05-24 | 2019-08-23 | 北京华捷艾米科技有限公司 | A kind of circuit parameter value-acquiring method and device |
| CN114972928B (en) * | 2022-07-26 | 2022-11-11 | 深圳比特微电子科技有限公司 | Image recognition model training method and device |
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Effective date of registration: 20210423 Address after: 1-3 / F, No.57, Boxia Road, China (Shanghai) pilot Free Trade Zone, Pudong New Area, Shanghai, 200120 Patentee after: Aiku software technology (Shanghai) Co.,Ltd. Address before: No. 283, Wusha Bubugao Avenue, Chang'an Town, Dongguan City, Guangdong Province, 523860 Patentee before: VIVO MOBILE COMMUNICATION Co.,Ltd. |