CN105898145A - Photographing method and terminal - Google Patents
Photographing method and terminal Download PDFInfo
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- CN105898145A CN105898145A CN201610284338.3A CN201610284338A CN105898145A CN 105898145 A CN105898145 A CN 105898145A CN 201610284338 A CN201610284338 A CN 201610284338A CN 105898145 A CN105898145 A CN 105898145A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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Abstract
The embodiment of the invention provides a photographing method, and the method comprises the steps: obtaining a target image collected by a camera, and dividing the target image into a first region and a second region; determining the target resolution of the pixels in the first region, and determining a sampling interval corresponding to the first region according to the target resolution of the pixels in the first region, wherein the sampling interval is in negative correlation with the target resolution of the pixels in the first region; screening out the target pixels from the pixels in the first region according to the sampling interval; generating and storing a photographed image according to the pixel values corresponding to the target pixels and the pixel values corresponding to the pixels in the second region. In addition, the invention also provides a terminal correspondingly. According to the embodiment of the invention, the method can reduce the storage space occupied by the photographed image under the condition of guaranteeing the resolution of the photographed image.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of photographic method and terminal.
Background technology
Along with popularization and application and the fast development of smart mobile phone of smart mobile phone, the amusement function of mobile phone is also got over
Come the abundantest, as play music, taking pictures, browse webpage, game etc..Due to mobile phone usually with user's shape shadow
Accompanying and the continuous upgrading of mobile phone camera hardware, the camera function of mobile phone is more and more perfect, here it is
Many times, mobile phone photograph instead of digital camera and taken pictures, to be convenient for people at any time to daily life
Scene in work catches and fixes.For the camera of mobile phone, pixel (resolution) is measurement one
The most important index of individual camera, general parcel received, pixel is the highest, and the quality of photo is the highest, photo clear
Spend the highest；Meanwhile, high pixel also implies that high-quality photo, which results in the needs when photograph taking
Take more cpu resource, the more data of computing, need the longer time just can take pictures, expend
The more electricity of mobile phone, and take more memory source during photo stores.
In general, user is when using portable equipment such as smart mobile phone etc. to take pictures, and its purpose is mostly
In order to reproduce the scene taken pictures at that time, especially for the one-tenth reproducing the targets such as article, personage or building
As whether region i.e. object region is clearly, and the certain of non-object image region existence can be ignored
Degree background blurring.But in the conventional technology, for non-object image region and the focusing of virtualization
When the pixel of object region stores, the mode of process all stores the data of each pixel, this
The photo size of processing mode is relatively big, which results in and needs to carry out substantial amounts of data meter during taking pictures
Calculating and storage, the speed of imaging is slow.
Therefore, in prior art, taking pictures of photographic head for high pixel exists in computationally intensive, photo takies
Depositing excessive technical problem, resource utilization ratio is low.
Summary of the invention
Embodiments provide a kind of photographic method and terminal, the utilization rate to system resource can be improved.
Embodiment of the present invention first aspect provides a kind of photographic method, including:
Obtain the target image of camera collection, described target image divides first area and second area；
Determine the target sharpness of pixel in described first area, according to pixel in described first area
Target sharpness determines the sampling interval corresponding with described first area, described sampling interval and described firstth district
In territory, the target sharpness of pixel becomes negative correlativing relation；
Pixel in described first area filters out target pixel points according to the described sampling interval；
According to the pixel value corresponding with described target pixel points and corresponding with pixel in described second area
Pixel value generates the picture storing of taking pictures.
Embodiment of the present invention second aspect provides a kind of terminal, including:
Area division unit, for obtaining the target image of camera collection, divides in described target image
First area and second area；
Sampling interval computing unit, for determining the target sharpness of pixel in described first area, according to
In described first area, the target sharpness of pixel determines the sampling interval corresponding with described first area, institute
Stating the sampling interval becomes negative correlativing relation with the target sharpness of pixel in described first area；
Pixel screening unit, sieves according to the described sampling interval in the pixel in described first area
Select target pixel points；
Take pictures image store, for according to the pixel value corresponding with described target pixel points and with described
Pixel value that in second area, pixel is corresponding generates the picture storing of taking pictures.
Implement the embodiment of the present invention, will have the advantages that
After have employed above-mentioned photographic method and terminal, after the image getting camera collection, to figure
As whether carrying out region division according to imaging clearly, the region for image blur only stores the portion in this region
Dividing the digital signal value of pixel, the image-region for imaging clearly stores all pixels in this region,
So that the picture of taking pictures finally obtained is retaining on the premise of original definition, reduce picture of taking pictures
Data processing amount, i.e. decreases the amount of calculation of data, reduces the size of the memory space shared by picture of taking pictures,
Improve the utilization rate to system resource.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, institute in embodiment being described below
The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is the one of the present invention
A little embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, also
Other accompanying drawing can be obtained according to these accompanying drawings.
Wherein:
Fig. 1 is the schematic flow sheet of a kind of photographic method in an embodiment；
Fig. 2 is the first area schematic diagram of picture in an embodiment；
Fig. 3 is first area and the division schematic diagram of second area in an embodiment；
Fig. 4 is the screening schematic diagram of the pixel of first area in an embodiment；
Fig. 5 is the structural representation of a kind of terminal in an embodiment；
Fig. 6 is the composition structure chart of the area division unit of Fig. 5 in the embodiment of the present invention；
Fig. 7 is the composition structure chart of the sampling interval computing unit of Fig. 5 in the embodiment of the present invention；
Fig. 8 is the structural representation of the computer equipment running aforementioned photographic method in an embodiment.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly
Chu, it is fully described by, it is clear that described embodiment is a part of embodiment of the present invention rather than all
Embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative labor
The every other embodiment obtained under dynamic premise, broadly falls into the scope of protection of the invention.
In the present embodiment, it is proposed that a kind of photographic method, the method can be avoided present in the process of taking pictures
Computationally intensive problem, and improve the effective rate of utilization of system resource, the realization of the method can be dependent on calculating
Machine program, this computer program can be the camera application program in smart mobile phone, it is also possible to be operate in phase
Image processing program in machine terminal.This computer program can run on computer based on von Neumann system
In system.This computer system can be band photographic head and be provided with camera applications or the intelligence of image procossing application
The terminal units such as energy mobile phone, panel computer, palm PC or camera.
Concrete, above-mentioned photographic method is as it is shown in figure 1, include following steps:
Step S102: obtain the target image of camera collection, divide first area and the in the target image
Two regions.
Target image is the image of the camera collection being arranged in terminal by setting, and this target figure
As can being shown by the display interface in terminal.In the present embodiment, take pictures according to target image
The image of instruction acquisition, obtains final picture of taking pictures after this target image is carried out relevant treatment.?
In the present embodiment, the acquisition process of target image has been carried out focusing, i.e. determines and need the mesh of focusing
Mark thing or focusing, and, the process of above-mentioned focusing can (user manually selects by user's manual focus
Need the shooting main body of focusing), it is also possible to carried out auto-focusing by terminal.
Terminal is during taking pictures, and the object of coverage is because the distance of distance photographic head is different (inspired by what one sees
Deeply), it is impossible to realize all of shooting object and all fall within the photo-sensitive cell of terminal by camera lens imaging,
It is to say, there will be the phenomenon of image blur for not imaging on the photo-sensitive cell of terminal, at this
In embodiment, the region of image blur is referred to as first area, namely virtualization region.Further, right
Just falling the situation on the photo-sensitive cell of terminal in certain imaging, the imaging in this region is clearly, will
The region of its imaging is referred to as second area, namely clear area；Again because the selection of second area is root
Determine according to the selection of target image focal length during gathering, say, that this second area institute is right
The imaging object answered is user's shooting of interest main body, therefore, in the present embodiment, by clear area also
Referred to as target area.
In one embodiment, as in figure 2 it is shown, in the picture that Fig. 2 is shown, shooting main body is picture
In people, portrait area is relatively sharp than the region shown in numbering A and B, say, that portrait area
It is first area/target area for the region shown in clear area/second area, numbering A and B.
In the present embodiment, target image can be regarded a two-dimensional array being made up of pixel as.Such as Fig. 3
Shown in, in the application scenarios that Fig. 3 shows, one pixel of each point identification.In this figure it is assumed that
(i.e. the region of dotted line frame covering or numbering C are identified in region shown in coordinate (2 < X < 7,2 < Y < 10)
Region) it is the region that definition is higher, i.e. the region shown in coordinate (2 < X < 7,2 < Y < 10) is the secondth district
Territory, then other regions in addition to second area are first area.
It should be noted that in the present embodiment, the shape of second area or first area can be changeable,
Such as, second area can be the border circular areas with focusing as the center of circle, it is also possible to be with corresponding to focusing
Shooting main body imaging in the target image (this imaging region can be arbitrary shape).
In the present embodiment, the division methods of above-mentioned first area and second area can have multiple, such as,
Can carry out dividing according to the second area that user manually selects that (user can determine second by the choosing of finger frame
The region at place, region, and frame choosing region shape can also set according to the setting of user or system default
Put and determine, such as the shape such as border circular areas, square region), it is also possible to it is that system is true according to the view-finder preset
The region at fixed second area place thus complete the division in region (in such as, presetting one in view-finder
Heart region, shooting main body is placed in the central area of view-finder by prompting user when taking pictures, and
Focusing area in such cases is the central area in view-finder), it is also possible to it is according to every in target image
The imaging definition in one region divides, it is also possible to be according in the focus process of the collection of target image
Focusing area divide.
Concrete, in one embodiment, above-mentioned divide in the target image first area and second area it
Before also include: obtain the definition corresponding with the pixel in target image；Divide first in the target image
Region and second area, including: search the definition picture less than the clarity threshold preset in the target image
Vegetarian refreshments is as the second pixel, and the regional determination constituted by the second pixel is first area, by target image
In the regional determination that constitutes of pixel in addition to the second pixel be second area.
The imaging that definition can be used to weigh in target image is the most clear, and in general, focusing institute is right
The definition of the pixel answered is the highest.It should be noted that the calculating of definition can utilize existing
Algorithm, such as, in a kind of concrete implementation mode, can be by calculating target pixel points and neighborhood pixels
The meansigma methods of the difference of the contrast of point determines this target pixel points definition.In other embodiments, also
The available mode such as edge detection method, frequency domain filtering method calculates the definition in each region in target image.
In the present embodiment, all there is the definition of correspondence in all pixels comprised in target image, and,
Definition is the highest, and the imaging representing correspondence is the most clear, otherwise, definition is the lowest, and corresponding imaging is the fuzzyyest.
In the present embodiment, can arrange a clarity threshold, definition is higher than this threshold value, then represent correspondence
The definition of imaging meets requirement.Concrete, when dividing first area with second area, definition is low
It is divided into first area in the region at the pixel place of default clarity threshold, otherwise, in target image
Except being then second area already divided into other regions of first area.
It should be noted that in the present embodiment, the quantity of second area or first area all can more than one
Individual.Such as in the application scenarios shown in Fig. 2, numbering A and the region shown in numbering B are first area.
Optionally, in other embodiments, above-mentioned first area and second area are divided in the target image
Step also includes: obtain the focusing focal length corresponding with target image；Obtain the depth map corresponding with target image,
Depth map includes the depth value corresponding with the pixel in target image；In the target image search depth value with
First pixel as the first pixel, is constituted by the difference of focal length more than the pixel of the difference threshold preset
Regional determination be first area, the region that pixel in addition to the first pixel in target image is constituted
It is judged to second area.
Concrete, mobile phone camera generally comprise a camera lens and luminous point reforming unit (CCD device or
The similar device that can convert optical signal into the signal of telecommunication of other devices of person).Optical fiber pack is mapped to CCD by camera lens
On device, optical fiber is converted into digital signal by CCD device, and digital signal is the data storage of picture of taking pictures.
When focal length is directional light incidence from optical center of lens to light the distance of the focus of gathering.Also it is in photographing unit, from
Center of lens is to the distance of the imaging plane such as egative film or CCD, and briefly focal length is focal point to the center of face mirror
Distance between point.In the present embodiment, the focal length that target image is focused when imaging is in the present embodiment
The focusing focal length corresponding with target image.
It is to say, if certain object in coverage is when the distance of camera lens is equal to focal length, it is in target
Image-region corresponding in image is also clearly；Otherwise, if certain object in coverage is from camera lens
When distance is bigger with the difference of focal length, its image-region corresponding in the target image is unsharp, or
Say that the definition of its correspondence is relatively low.
In the present embodiment, preset a difference threshold, certain object in coverage from camera lens away from
When the difference with focal length is less than or equal to this difference threshold, the regional determination corresponding in the target image by it
For second area, otherwise, then it is first area.
Concrete, obtain the depth map corresponding with target image, i.e. obtain the pixel in target image corresponding
Depth value.In the present embodiment, the depth value of pixel is the subject corresponding with this pixel and mirror
Range information between Tou, and this range information can pass through range sensor, laser, infrared light etc. and obtain.
In the case of depth map and focusing focal length are all known, in calculating target image, each pixel is deep
Angle value and the difference of focusing focal length, when difference is less than or equal to the difference threshold preset, by corresponding pixel
Point is judged to the pixel that second area is comprised；When difference is more than the difference threshold preset, by correspondence
Pixel is judged to the pixel that first area is comprised, thus completes the division of first area and second area.
Step S104: determine the target sharpness of pixel in first area, according to pixel in first area
Target sharpness determine the sampling interval corresponding with first area, sampling interval and pixel in first area
Target sharpness become negative correlativing relation.
Can be in the way of continuing to use such as front definition acquisition, in acquisition first area, each pixel is clear
Degree, or, if in the case of the definition of the pixel in step s 102 in target image obtains, directly
Connect the target sharpness reading the pixel being judged to first area.
Definition is the highest, and corresponding image-region is the most clear；Otherwise, definition is the lowest, corresponding image district
Territory is the fuzzyyest.For the region of image blur, (deposit according to the storage mode identical with the region of imaging clearly
Store up the pixel value of each pixel), the definition improving this regional imaging is not had help.Correspondingly,
If reducing the pixel (resolution) in the region of image blur, the definition that also will not reduce this regional imaging is (special
It not the human eye difference that cannot be distinguished by between the two).Therefore, for the region (i.e. first area) of image blur
Pixel, can only store partial dot therein.In the present embodiment, the sampling interval is for first
Pixel in region determines, the sampling interval determines the target picture stored in the picture of taking pictures of final storage
The screening of vegetarian refreshments.
Sampling interval corresponding to first area is that the fog-level of the imaging according to this first area determines.?
In the present embodiment, the fog-level of imaging can represent with target sharpness.Such as, an embodiment
In, this first area can be represented by calculating the meansigma methods of the definition of all pixels in first area
Definition, then determine the sampling interval according to the definition of this first area.In general, for first
From the point of view of region, definition is the highest, and the pixel needing storage is the most, and the sampling interval is the least；Definition is the least,
The pixel needing storage is the least, and correspondingly the sampling interval is the biggest, say, that sampling interval and the firstth district
The target sharpness of the pixel in territory becomes negative correlativing relation, becomes negative correlativing relation with the definition of first area.
In one embodiment, above-mentioned determine and first area pair according to the definition of pixel in first area
The step in the sampling interval answered also includes: calculate the meansigma methods of the definition of pixel in first area；According to
The first function preset, with meansigma methods as independent variable, calculates the virtualization degree value corresponding with first area, virtualization
Degree value becomes negative correlativing relation with meansigma methods；According to the second default function with virtualization degree value as independent variable,
Calculating the sampling interval corresponding with first area, the sampling interval becomes positive correlation with virtualization degree value.
Concrete, virtualization degree value represents the virtualization degree/fog-level of the imaging of this image-region, virtualization
Degree value is the biggest, and virtualization degree/fog-level is the highest, and the sampling interval is the biggest.In the present embodiment, empty
Change degree value becomes negative correlativing relation, sampling interval to become positive correlation with virtualization degree value with definition.Specifically
, the first function that above-mentioned basis is preset, with meansigma methods as independent variable, calculates the virtualization corresponding with first area
In the step of degree value, virtualization degree value becomes negative correlativing relation with meansigma methods, and such as, the first function can be
The slope linear function less than 0, it is also possible to be inverse proportion function or other can represent that virtualization degree value is with clear
The function of the negative correlativing relation between the meansigma methods of clear degree.Further, the second function that above-mentioned basis is preset
With virtualization degree value as independent variable, calculate in the sampling interval corresponding with first area, sampling interval and virtualization
Degree value becomes positive correlation, wherein, the second function can be slope be the linear function of positive number, it is also possible to
It is direct proportion function or other functions of positive correlation between sampling interval and virtualization degree value can be represented.
Such as, in the application scenarios shown in Fig. 2, the definition in the region shown in numbering A is significantly lower than compiling
The definition in number region shown in B, the virtualization degree value in the region as shown in numbering A is 2, numbering B
The virtualization degree value in region is 4, and sampling interval and the linear (sampling interval=virtualization of virtualization degree value
Degree value-1), then the sampling interval of the first area shown in numbering A is 1 (i.e. to carry out every 1 sampled point
Once sampling), the sampling interval of the first area shown in numbering B is 3, (i.e. carries out one every 3 sampled points
Secondary sampling).
Step S106: filter out target pixel points according to the sampling interval in pixel in the first region.
The not all pixel of pixel in first area is required for storing, in the present embodiment,
According to the sampling interval calculated in step S104, the pixel in first area is screened, screening
Go out the pixel needing storage in first area in final picture of taking pictures.Concrete, above-mentioned object pixel
In the screening of point, in pixel in the first region, sample according to sampling interval interlacing and/or every row,
Such as, when the sampling interval is 1, in every line pixel is sampled.
In the application scenarios shown in Fig. 4, the region shown in numbering C is second area, and other regions are
One region, and the sampling interval of correspondence be that 3 (i.e. taking a point every 3 pixels is target pixel points, also
It is target pixel points that the most every 4 pixels take a point).In the diagram, for the pixel of first area,
Pixel can be screened first interlacing, every row, pixel is screened the most again, draw last mesh
Mark pixel, i.e. pixel as shown in Fig. 4 middle twill, be equivalent to each square dotted line frame comprised 4
Individual pixel takes a pixel as target pixel points.
Step S108: according to the pixel value corresponding with target pixel points and corresponding with pixel in second area
Pixel value generate the picture storing of taking pictures.
In the present embodiment as, target image can be regarded a two-dimensional array being made up of pixel, and
All there is the pixel value of correspondence in each pixel, this pixel value is its occurrence in two Dimension Numerical Value,
Such as, pixel value can be the color component represented such as (R, G, B).At will be to target image
When storing after reason, for all pixels in second area, storage and the institute of each pixel
There are data (pixel value), to ensure the definition of shooting main body that user the is concerned about imaging in image of taking pictures,
Relative, for the pixel in first area, only store the related data of the target pixel points screened
(pixel value), to reduce the size of picture of taking pictures.It is to say, final picture of taking pictures is by first area
The target pixel points screened and all pixels composition of second area.
Additionally, in the present embodiment, as shown in Figure 5, it is also proposed that a kind of terminal, divide single including region
Unit 102, sampling interval computing unit 104, pixel screening unit 106 and image store of taking pictures,
Wherein:
Area division unit 102, for obtaining the target image of camera collection, divides the in the target image
One region and second area；
Sampling interval computing unit 104, for determining the target sharpness of pixel in first area, according to the
In one region, the target sharpness of pixel determines the sampling interval corresponding with first area, the sampling interval and the
In one region, the target sharpness of pixel becomes negative correlativing relation；
Pixel screening unit 106, filters out mesh according to the sampling interval in pixel in the first region
Mark pixel；
Take pictures image store 108, for according to the pixel value corresponding with target pixel points and with the secondth district
Pixel value that in territory, pixel is corresponding generates the picture storing of taking pictures.
Optionally, wherein in an embodiment, as shown in Figure 6, above-mentioned zone division unit 102 is also wrapped
Include focusing focal length acquiring unit 1022, depth map acquiring unit 1024 and regional determination unit 1026, its
In:
Focusing focal length acquiring unit 1022 is for obtaining the focusing focal length corresponding with target image；
Depth map acquiring unit 1024 is for obtaining the depth map corresponding with target image, and depth map includes and mesh
The depth value that pixel in logo image is corresponding；
Regional determination unit 1026 is for searching the difference of depth value and focal length in the target image more than presetting
The pixel of difference threshold is as the first pixel, and the regional determination constituted by the first pixel is first area,
The regional determination constituted by pixel in addition to the first pixel in target image is second area.
Optionally, wherein in an embodiment, as it is shown in figure 5, above-mentioned terminal also includes that definition obtains
Unit 110, for obtaining the definition corresponding with the pixel in target image；Above-mentioned zone division unit
102 are additionally operable to search the definition pixel less than the clarity threshold preset in the target image as second
Pixel, the regional determination constituted by the second pixel is first area, will remove the second pixel in target image
The regional determination that pixel outside Dian is constituted is second area.
Optionally, wherein in an embodiment, as it is shown in fig. 7, above-mentioned sampling interval computing unit 104
Obtain including definition average calculation unit 1042, virtualization degree value computing unit 1044 and sampling interval
Unit 1046, wherein: definition average calculation unit 1042 is for calculating the clear of pixel in first area
The meansigma methods of clear degree；Virtualization degree value computing unit 1044 is for according to the first function preset with meansigma methods being
Independent variable, calculates the virtualization degree value corresponding with first area, and virtualization degree value becomes negative correlation to close with meansigma methods
System；Sampling interval acquiring unit 1046 is used for according to the second function preset with virtualization degree value as independent variable,
Calculating the sampling interval corresponding with first area, the sampling interval becomes positive correlation with virtualization degree value.
Optionally, wherein in an embodiment, above-mentioned pixel screening unit 106 is additionally operable in the firstth district
In pixel in territory, according to sampling interval interlacing and/or every column filter target pixel points.
Implement the embodiment of the present invention, will have the advantages that
After have employed above-mentioned photographic method and device, after the image getting camera collection, to figure
As whether carrying out region division according to imaging clearly, the region for image blur only stores the portion in this region
Dividing the digital signal value of pixel, the image-region for imaging clearly stores all pixels in this region,
So that the picture of taking pictures finally obtained is retaining on the premise of original definition, reduce picture of taking pictures
Data processing amount, i.e. decreases the amount of calculation of data, reduces the size of the memory space shared by picture of taking pictures,
Improve the utilization rate to system resource.
In one embodiment, as shown in Figure 8, Fig. 8 illustrate a kind of run above-mentioned photographic method based on
The terminal of the computer system of von Neumann system.This computer system can be smart mobile phone, panel computer,
Palm PC, the terminal unit such as notebook computer or PC.Concrete, it may include pass through system bus
Outer input interface 1001, processor 1002, memorizer 1003 and the output interface 1004 connected.Wherein,
Outer input interface 1001 optionally can at least include network interface 10012.Memorizer 1003 can include external memory
Reservoir 10032 (such as hard disk, CD or floppy disk etc.) and built-in storage 10034.Output interface 1004 can
At least include display screen 10042 equipment such as grade.
In the present embodiment, the operation of this method is based on computer program, the program file of this computer program
Be stored in the external memory 10032 of aforementioned computer system based on von Neumann system, operationally by
It is loaded in built-in storage 10034, is transferred to after being then compiled as machine code in processor 1002 perform,
So that computer system based on von Neumann system is formed area division unit 102 in logic, adopts
Sample interval calculation unit 104, pixel screening unit 106 and image store of taking pictures.And in above-mentioned bat
During performing according to method, the parameter of input is all received by outer input interface 1001, and is transferred to storage
Device 1003 caches, is then input in processor 1002 process, the result data of process or caching
Subsequently process in memorizer 1003, or be passed to output interface 1004 and export.
Step in embodiment of the present invention method can carry out order according to actual needs and adjust, merges and delete.
Unit in embodiment of the present invention terminal can merge according to actual needs, divides and delete.This
The terminal that inventive embodiments provides includes but not limited to carryOr its
The terminal of its operating system, such as mobile phone.Can also be other terminal, such as there is Touch sensitive surface (example
As, touch-screen display and/or Trackpad) laptop computer or panel computer or desk computer.
In the following discussion, a kind of terminal including display and Touch sensitive surface is described.But should manage
Solving, terminal can include other physical user-interface device one or more, such as physical keyboard, mouse and/
Or action bars.
Terminal generally supports multiple application program, such as following in one or more: picture application program,
Present application program, word-processing application, webpage establishment application program, dish editor's application program, electricity
Sub-table application program, game application, telephony application, videoconference application, electronics postal
Application program, photograph management application program, number are supported in part application program, instant message application program, exercise
Word camera application program, digital video camcorder application program, network browsing application program, digital music are broadcast
Put device application program and/or video frequency player application program.
The various application programs that can perform in terminal can use at least one physical user-interface device shared,
Such as Touch sensitive surface.One or more functions of Touch sensitive surface and display corresponding information in terminal can be from
A kind of application program adjusts and/or is changed to lower a kind of application program and/or is adjusted in corresponding application programs
And/or change.So, the shared physical structure (such as Touch sensitive surface) of terminal is available the most straight
See clearly user interface to support various application program.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method,
Can be by computer program and complete to instruct relevant hardware, described program can be stored in a calculating
In machine read/write memory medium, this program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each method.
Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory,
Or random store-memory body (Random Access Memory, RAM) etc. ROM).
Above disclosed be only present pre-ferred embodiments, certainly can not with this limit the present invention it
Interest field, the equivalent variations therefore made according to the claims in the present invention, still belong to the scope that the present invention is contained.
Claims (10)
1. a photographic method, it is characterised in that including:
Obtain the target image of camera collection, described target image divides first area and second area；
Determine the target sharpness of pixel in described first area, according to pixel in described first area
Target sharpness determines the sampling interval corresponding with described first area, described sampling interval and described firstth district
In territory, the target sharpness of pixel becomes negative correlativing relation；
Pixel in described first area filters out target pixel points according to the described sampling interval；
According to the pixel value corresponding with described target pixel points and corresponding with pixel in described second area
Pixel value generates the picture storing of taking pictures.
Photographic method the most according to claim 1, it is characterised in that described in described target image
Divide first area and second area, including:
Obtain the focusing focal length corresponding with described target image；
Obtain the depth map corresponding with described target image, described depth map include with in described target image
The depth value that pixel is corresponding；
The difference picture more than the difference threshold preset of depth value and described focal length is searched in described target image
Vegetarian refreshments is as the first pixel, and the regional determination constituted by described first pixel is first area, by described
The regional determination that in target image, pixel in addition to described first pixel is constituted is second area.
Photographic method the most according to claim 1, it is characterised in that described in described target image
Also include before dividing first area and second area:
Obtain the definition corresponding with the pixel in described target image；
Described division first area and second area in described target image, including:
The definition pixel less than the clarity threshold preset is searched as the second picture in described target image
Vegetarian refreshments, the regional determination constituted by described second pixel is first area, will remove institute in described target image
The regional determination stating the pixel composition outside the second pixel is second area.
4. according to the photographic method described in claim 1 or 3, it is characterised in that described according to described first
In region, the target sharpness of pixel determines the sampling interval corresponding with described first area, including:
Calculate the meansigma methods of the definition of pixel in described first area；
According to the first default function with described meansigma methods as independent variable, calculate corresponding with described first area
Virtualization degree value, described virtualization degree value becomes negative correlativing relation with described meansigma methods；
According to the second default function with described virtualization degree value as independent variable, calculate and described first area pair
In the sampling interval answered, the described sampling interval becomes positive correlation with described virtualization degree value.
Photographic method the most according to claim 1, it is characterised in that described in described first area
Pixel in filter out target pixel points according to the described sampling interval, including:
In pixel in described first area, according to described sampling interval interlacing and/or every described in column filter
Target pixel points.
6. a terminal, it is characterised in that including:
Area division unit, for obtaining the target image of camera collection, divides in described target image
First area and second area；
Sampling interval computing unit, for determining the target sharpness of pixel in described first area, according to
In described first area, the target sharpness of pixel determines the sampling interval corresponding with described first area, institute
Stating the sampling interval becomes negative correlativing relation with the target sharpness of pixel in described first area；
Pixel screening unit, sieves according to the described sampling interval in the pixel in described first area
Select target pixel points；
Take pictures image store, for according to the pixel value corresponding with described target pixel points and with described
Pixel value that in second area, pixel is corresponding generates the picture storing of taking pictures.
Terminal the most according to claim 6, it is characterised in that it is right that described area division unit also includes
Burnt focal length acquiring unit, depth map acquiring unit and regional determination unit, wherein:
Described focusing focal length acquiring unit is for obtaining the focusing focal length corresponding with described target image；
Described depth map acquiring unit is for obtaining the depth map corresponding with described target image, described depth map
Including the depth value corresponding with the pixel in described target image；
Described regional determination unit is big with the difference of described focal length for searching depth value in described target image
In the pixel of default difference threshold as the first pixel, the region that described first pixel is constituted is sentenced
It is set to first area, the region constituted by pixel in addition to described first pixel in described target image
It is judged to second area.
Terminal the most according to claim 6, it is characterised in that described device also includes that definition obtains
Unit, for obtaining the definition corresponding with the pixel in described target image；
Described area division unit is additionally operable in described target image search definition less than the definition preset
The pixel of threshold value is as the second pixel, and the regional determination constituted by described second pixel is first area,
The regional determination constituted by pixel in addition to described second pixel in described target image is second area.
9. according to the terminal described in claim 6 or 8, it is characterised in that described sampling interval computing unit
Including definition average calculation unit, virtualization degree value computing unit and sampling interval acquiring unit, its
In:
Described definition average calculation unit is for calculating the flat of the definition of pixel in described first area
Average；
Described virtualization degree value computing unit is used for according to the first function preset with described meansigma methods as independent variable,
Calculating the virtualization degree value corresponding with described first area, described virtualization degree value becomes negative with described meansigma methods
Pass relation；
Described sampling interval acquiring unit is used for according to the second function preset with described virtualization degree value for from becoming
Amount, calculates the sampling interval corresponding with described first area, and the described sampling interval becomes with described virtualization degree value
Positive correlation.
Terminal the most according to claim 6, it is characterised in that described pixel screening unit is also used
In the pixel in described first area, according to described sampling interval interlacing and/or every mesh described in column filter
Mark pixel.
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