CN105933589B - A kind of image processing method and terminal - Google Patents
A kind of image processing method and terminal Download PDFInfo
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- CN105933589B CN105933589B CN201610503757.1A CN201610503757A CN105933589B CN 105933589 B CN105933589 B CN 105933589B CN 201610503757 A CN201610503757 A CN 201610503757A CN 105933589 B CN105933589 B CN 105933589B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/2624—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects for obtaining an image which is composed of whole input images, e.g. splitscreen
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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
- H04N23/57—Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices
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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
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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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
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
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Abstract
The embodiment of the invention discloses a kind of image processing methods, comprising: determines the focusing area and non-focusing area of the preview image of the camera shooting of terminal；The distance between spatial position indicated by each pixel and the camera in the preview image are determined using the laser range sensor of the terminal, obtains N number of distance value, and the pixel number of the preview image is the N, and the N is positive integer；Keep the focusing area clearly under the premise of, Fuzzy processing is carried out to the non-focusing area according to N number of distance value.The embodiment of the invention also provides a kind of terminals.The operating process of background blurring realization can be simplified through the embodiment of the present invention, and due to carrying out background blurring processing to non-focusing area according to distance, thus, obtained background blurring image effect is more true to nature.
Description
Technical field
The present invention relates to technical field of electronic equipment more particularly to a kind of image processing method and terminals.
Background technique
With the fast development of information technology, terminal (such as mobile phone, tablet computer) use is more and more frequent, in terminal
Integrated function is also more and more.It takes pictures and has become an important attraction of each cell phone manufacturer, how to allow effect promoting of taking pictures,
And more differentiation functions, become the focus that each manufacturer competitively uses.
Currently, terminal, which is taken pictures, preferably to realize that close shot is clear, distant view is fuzzy, and popular double camera shootings in the market
Head, primarily now effect is exactly to realize that close shot is clear, and distant view is fuzzy, and principle is that difference is respectively seen using two cameras
Region A and B the difference of A Yu B distance are then estimated using the two cameras.If user manually selects the area A at this time
Domain is focusing area, then the image of a-quadrant is to keep clear, corresponding B area then Fuzzy processing, and this blurring journey
Degree, it is generally the case that user oneself is needed to control by upper and lower tie rod.This mode realizes that close shot is clear, distant view mould
Paste, on the one hand, operation it is not smart enough, since it is desired that user manually select focusing area operation it is not smart enough due to double camera shootings test
A, on the other hand, since double camera shootings test A is at a distance from B, only the relative distance of A and B, the i.e. distance of A-B, are not the areas A or B
With a distance from camera lens, itself is selecting focus point in domain, not accurate enough, and A and B relative distance only estimate that error is larger.
Summary of the invention
The embodiment of the invention provides a kind of image processing method and terminals, to the operation of the background blurring realization of simplification
Journey and make background blurring image effect more true to nature.
First aspect of the embodiment of the present invention provides a kind of image processing method, comprising:
Determine the focusing area and non-focusing area of the preview image of the camera shooting of terminal；
Space indicated by each pixel in the preview image is determined using the laser range sensor of the terminal
The distance between position and the camera obtain N number of distance value, and the pixel number of the preview image is the N, described
N is positive integer；
Keep the focusing area clearly under the premise of, the non-focusing area is carried out according to N number of distance value
Fuzzy processing.
Second aspect of the embodiment of the present invention provides a kind of terminal, comprising:
First determination unit, the focusing area of the preview image of the camera shooting for determining terminal and non-focusing area
Domain；
Second determination unit, for determining each picture in the preview image using the laser range sensor of the terminal
The distance between spatial position indicated by vegetarian refreshments and the camera obtain N number of distance value, the pixel of the preview image
Number is the N, and the N is positive integer；
Processing unit, for keep the focusing area clearly under the premise of, determined according to second determination unit
N number of distance value Fuzzy processing is carried out to the non-focusing area that first determination unit determines.
The third aspect of the embodiment of the present invention provides a kind of terminal, comprising:
Processor and memory；
Wherein, the processor is used to call the executable program code in the memory, executes first aspect
Some or all of step.
The implementation of the embodiments of the present invention has the following beneficial effects:
As can be seen that through the embodiment of the present invention, determine the preview image of the camera shooting of terminal focusing area and
Non- focusing area determines space bit indicated by each pixel in the preview image using the laser range sensor of the terminal
The distance between the camera is set, obtains N number of distance value, the pixel number of the preview image is the N, this is positive whole
Number, keep the focusing area clearly under the premise of, Fuzzy processing is carried out to the non-focusing area according to N number of distance value.
Therefore, can be after focusing area and non-focusing area be determined, it can be according to the distance between terminal and each pixel value pair
Non- focusing area carries out Fuzzy processing, thus, the operating process of background blurring realization in the prior art is simplified, and due to root
Background blurring processing is carried out to non-focusing area according to distance, thus, obtained background blurring image effect is more true to nature.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of the first embodiment of image processing method disclosed by the embodiments of the present invention；
Fig. 1 a is that the isolated area of preview image disclosed by the embodiments of the present invention divides schematic diagram；
Fig. 1 b is laser range sensor ranging schematic diagram disclosed by the embodiments of the present invention；
Fig. 1 c is the laser range sensor ranging plane demonstration graph in Fig. 1 b disclosed by the embodiments of the present invention；
Fig. 2 is a kind of flow diagram of the second embodiment of image processing method disclosed by the embodiments of the present invention；
Fig. 3 a is a kind of structural schematic diagram of the first embodiment of terminal disclosed by the embodiments of the present invention；
Fig. 3 b is the structural schematic diagram of the first determination unit of terminal described in Fig. 3 a disclosed by the embodiments of the present invention；
Fig. 3 c is the structural schematic diagram of the processing unit of terminal described in Fig. 3 a disclosed by the embodiments of the present invention；
Fig. 4 is a kind of structural schematic diagram of the second embodiment of terminal disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Description and claims of this specification and term " first ", " second ", " third " and " in the attached drawing
Four " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process, method of a series of steps or units, be
System, product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or list
Member, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
Containing at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Terminal described in the embodiment of the present invention may include smart phone (such as Android phone, iOS mobile phone,
Windows Phone mobile phone etc.), tablet computer, palm PC, laptop, mobile internet device (MID, Mobile
Internet Devices) or wearable device etc., above-mentioned terminal is only citing, and non exhaustive, including but not limited to above-mentioned end
End.
It should be noted that the principle of laser range sensor are as follows: laser range sensor issues modulated near-infrared
Light, meets object back reflection, and laser range sensor is clapped by calculating light transmitting and reflection interval difference or phase difference to convert
Take the photograph the distance of scenery) it tests by the distance between bat scenery and camera lens.Swash for example, can first be emitted by laser diode alignment target
Light pulse, laser is scattered to all directions after target reflects, and some scattered light returns to transducer receivers, is connect by optical system
It being imaged on avalanche photodide after receipts, avalanche photodide is a kind of optical sensor of the inside with enlarging function,
Therefore it can detect extremely faint optical signal, record and handle and be issued to return from light pulse and be received the time experienced,
Target range can be measured.
Optionally, by the above-mentioned means, spatial position indicated by each pixel and camera shooting in preview image can be measured
The distance between head, wherein each pixel corresponds to a certain position of jobbie in photographed scene in preview image, this certain
One position is referred to as spatial position indicated by pixel, and since preview image is 2-D data, and spatial position is three dimensions
According to the association of the two is, in shooting process, when taking the jobbie in three-dimensional space, which can taken the photograph
As head preview image in be imaged, thus, a spatial position in each pixel corresponding three-dimensional space.Assuming that preview image
Comprising N number of pixel, then N number of distance value can be obtained by the above method, each distance value indicates indicated by each pixel
The distance between spatial position and pixel, wherein N is positive integer.
Referring to Fig. 1, being a kind of first embodiment flow diagram of image processing method provided in an embodiment of the present invention.
Image processing method as described in this embodiment, comprising the following steps:
101, the focusing area and non-focusing area of the preview image of the camera shooting of terminal are determined.
Wherein, the camera of terminal can be visible image capturing head, in infrared camera or ultraviolet light camera at least
One etc..
Optionally, can choose terminal camera shooting preview image in target area, using the target area as
Focusing area, and using the region other than the focusing area as non-focusing area, wherein the preview image includes multiple only
Vertical region, the target area are at least one of the multiple isolated area.As shown in Figure 1a, preview image is divided into 9
A isolated area (isolated area that You Tuzhong dotted line is crossed to form), target area can be 9 isolated areas of the preview image
In any region.Certainly, preview image can also be divided into 2,3,4 etc. isolated areas, not arrange one by one herein
It lifts.
Still optionally further, the target area in the preview image of the camera shooting of above-mentioned selection terminal may include following
Step:
1) it, receives and chooses instruction；
2), in the preview image for shooting the camera of terminal by it is described choose the indicated isolated area of instruction as pair
Burnt region, and using the region other than the focusing area as non-focusing area；
Wherein, in step 1, user can choose at least one isolated area in multiple isolated areas, choose this extremely determining
After a few isolated area, then selection instruction is generated, it in step 2, then can be using at least one above-mentioned isolated area as focusing
Region.For example, can receive user for the selection instruction at least one region in above-mentioned 9 isolated areas, it is assumed that isolated area i
For a region in 9 isolated areas, after having chosen the isolated area, then using isolated area i as focusing area, and
Using the region other than focusing area as non-focusing area.
Optionally, N number of receiving area built in laser range sensor, each receiving area be it is independent, can receive
External laser energy.Guarantee simultaneously through two lens designs, guarantee laser range sensor can receive N number of region away from
From signal, and it can guarantee N number of receiving area of laser range sensor and the N that the preview image of camera divides in advance
A region is consistent.For example, in Fig. 1 b, when camera is opened, photographed scene can form preview graph such as Fig. 1 b and as illustrated in figure 1 c
Picture, preview image are divided into 9 regions, i.e., photographed scene is divided into 9 regions, and laser range sensor can detect this respectively
The distance between 9 regions and camera value specifically issue modulated near infrared light (figure A by laser range sensor
In indicated by the dotted line that laser range sensor issues), and reflected by the object in photographed scene, and by the laser ranging
Sensor receives, by calculating light transmitting and reflection interval difference or phase difference, come the distance of scenery of being taken that converts.Assuming that the
One detection unit detects distance value at first, then the distance value is fed back to terminal.In Fig. 1 c, the photographed scene of camera can be obtained
To preview image, and the detection zone (including P1, P2, P3, P4, P5, P6, P7, P8 and P9) of laser range sensor can with it is pre-
9 regions that image of looking at divides correspond, by the distance between the corresponding P1 detection zone of first detection unit and camera
As in corresponding preview image region and the distance between camera, each detection zone and camera can be obtained as a result,
The distance between value, that is, can determine the space in each region in N number of region for dividing in advance in the preview image of camera shooting
The distance between position and the camera.Thus can be using the corresponding region of lowest distance value as focusing area.Certainly, sharp
The distance between the spatial position of each pixel and camera in preview image can also be measured with laser range sensor.
Further, the target area in the preview image of the camera shooting of above-mentioned selection terminal may be used also are as follows:
Using the specified region in the preview image as focusing area, and using the region other than the focusing area as
Non- focusing area.For example, a certain region that can be preassigned in preview screen is used as specified region, then, then in preview image
Region other than specified region is non-focusing area.
Optionally, step 101 may also include the steps of:
3) target detection, is carried out to the preview image of the camera shooting of terminal；
4), using the target region of the detection as focusing area.
Wherein, the target in step 3 can be people, vehicle, cat, dog etc., specifically be not limited thereto.Above-mentioned target detection
Infrared sensor progress temperature detection can be used or image recognition algorithm carries out target and detected.For example, can be used infrared
When camera is shot, then the target in preview image can be identified according to the distribution situation of different temperatures.
Further, above-mentioned steps 3 may include following steps:
31) binary conversion treatment, is carried out to the preview image of the camera shooting of terminal, obtains binaryzation preview image；
32) profile of the binaryzation preview image, is extracted；
33) image recognition, is carried out to the profile, to identify the target in the profile.
Wherein, binary conversion treatment, the binaryzation obtained after binary conversion treatment can be carried out to the preview image that camera is shot
Only there are two tonal gradations for preview image, i.e., pixel value is 0 or pixel value is 255.Wherein, the threshold value of binary conversion treatment can be
The average brightness value of preview image, alternatively, the average brightness value of focusing area optionally can distinguish above-mentioned multiple isolated areas
Each isolated area in choose multiple pixel values, then, calculate all pixels value mean value, using the mean value as binaryzation threshold
Value, due to only choosing the partial pixel point of preview image, thus, calculating speed is accelerated, also, in multiple isolated areas
It is chosen, thus, more representative, the binarization threshold precision of selection is high and access speed is fast.
Optionally, when preview image is color image, the luminance component image of also extractable preview image, and it is bright to this
It spends component image and carries out target detection according to step 31,32 and 33, firstly, binary conversion treatment is carried out, secondly, contours extract, most
Afterwards, image recognition is carried out, due to only handling a luminance component image, thus, the complexity of preview image is reduced,
Processing speed can be promoted.
Optionally, in the camera shooting of terminal, shooting image can be focused, wherein raw in the focusing
At focal zone can be used as focusing area.
102, it is determined in the preview image indicated by each pixel using the laser range sensor of the terminal
The distance between spatial position and the camera obtain N number of distance value, and the pixel number of the preview image is the N,
The N is positive integer.
103, keep the focusing area clearly under the premise of, according to N number of distance value to the non-focusing area
Carry out Fuzzy processing.
Optionally, focusing area can be kept clear, and Fuzzy processing is carried out to non-focusing area according to N number of distance value,
So, the image obtained i.e. focusing area is clear, rather than focusing area is fuzzy.In the embodiment of the present invention, the master of Fuzzy processing
Want means that Gaussian Blur algorithm can be used, it is of course also possible to use other algorithms, are not specifically limited herein.
It should be noted that the above-mentioned holding focusing area is clear it is understood that any place can not be done to focusing area
Reason is imitated alternatively, certain image enhancement processing can be carried out to focusing area alternatively, certain U.S. face can be carried out to focusing area
Fruit processing.Wherein, image enhancement processing can be used: histogram equalization, gray scale stretching, white balance processing, color temperature adjustment, image
Restore etc., it is not limited here.In brief, focusing area is kept clearly may be used are as follows: to guarantee the readability of focusing area not
Lower than readability when not handling focusing area.
Still optionally further, in the case that keep focusing area clearly, can by non-focusing area carry out Fuzzy processing,
Concretely:
Firstly, determining the mean value of the corresponding all distance values of focusing area, the first mean value is obtained；
Secondly, determining the mean value of all distance values corresponding to each isolated area in non-focusing area respectively, obtain
To multiple second mean values；
Then, it is determined according to first mean value and the multiple second mean value each described only in the non-focusing area
The fuzzy coefficient in vertical region；
Finally, being obscured respectively according to the fuzzy coefficient of each isolated area to each isolated area
Change processing.
Specifically, the mean value of distance value corresponding to each isolated area in above-mentioned multiple isolated areas is calculated separately, so
Afterwards, the ratio conduct apart from mean value according to corresponding to isolated area each in non-focusing area apart from mean value and focusing area
Fuzzy coefficient.It is assumed that focusing area apart from mean value be A, a certain isolated area apart from mean value be B, then fuzzy coefficient=B/
A, B are bigger, then fuzzy coefficient is bigger, that is, fog-level is higher, and B is smaller, then fuzzy coefficient is smaller, that is, fog-level
It is smaller.
Optionally, certainly, Fuzzy processing can be also carried out to focusing area, and non-focusing area is kept clear, can be obtained
It is clear to distant view, the fuzzy effect of close shot.
As can be seen that through the embodiment of the present invention, determine the preview image of the camera shooting of terminal focusing area and
Non- focusing area determines space bit indicated by each pixel in the preview image using the laser range sensor of the terminal
The distance between the camera is set, obtains N number of distance value, the pixel number of the preview image is the N, this is positive whole
Number, keep the focusing area clearly under the premise of, Fuzzy processing is carried out to the non-focusing area according to N number of distance value.
Therefore, can be after focusing area and non-focusing area be determined, it can be according to the distance between terminal and each pixel value pair
Non- focusing area carries out Fuzzy processing, thus, the operating process of background blurring realization in the prior art is simplified, and due to root
Background blurring processing is carried out to non-focusing area according to distance, thus, obtained background blurring image effect is more true to nature.
Consistently with above-described embodiment, referring to Fig. 2, for the of a kind of image processing method provided in an embodiment of the present invention
Two embodiment flow diagrams.Image processing method as described in this embodiment, comprising the following steps:
201, the focusing area and non-focusing area of the preview image of the camera shooting of terminal are determined.
202, it is determined in the preview image indicated by each pixel using the laser range sensor of the terminal
The distance between spatial position and the camera obtain N number of distance value, and the pixel number of the preview image is the N,
The N is positive integer.
203, average distance value is determined according to M distance value, wherein the M distance value is institute in the focusing area
Have or the distance between partial pixel point and the camera value, the M are positive integer, and less than the N.
Optionally, distance value all in M distance value can be carried out taking mean operation, it is assumed that focusing area includes J
Pixel, above-mentioned M distance value can be the distance between part pixel and camera value in focusing area, then, M is less than J,
Certainly, above-mentioned M distance value can also be the distance between all pixels point and camera value in focusing area, then, M is equal to J.
As can be seen that M is less than or equal to J, J is less than N.
204, it calculates in the non-focusing area between each corresponding distance value of pixel and the average distance value
Difference obtains multiple differences.
Optionally, the difference between the corresponding distance value of each pixel in non-focusing area and average distance value can be calculated
Value, obtained difference is likely larger than 0, and less than 0, alternatively, being greater than 0, how different differences be can be used as to the corresponding picture of the difference
The foundation of vegetarian refreshments progress Fuzzy processing.
205, Fuzzy processing is carried out to the non-focusing area according to the multiple difference.
Wherein, step 205 may include two different Fuzzy processing modes, specific as follows:
Above-mentioned multiple differences can be carried out the operation that takes absolute value, obtain multiple absolute values by the first Fuzzy processing mode,
Fuzzy processing is carried out to non-focusing area according to multiple absolute value, absolute value is then blurred greatly that degree is big, and absolute value is small then
Blurring degree is small.
Further, certainly, the ascending sequence of multiple absolute values can be divided into multiple grades, if, it is multiple etc.
Grade includes A, B and C, and the corresponding gaussian coefficient of A grade is a, and the corresponding gaussian coefficient of B is b, and the corresponding gaussian coefficient of C is c, A etc.
The corresponding absolute value of grade is less than the corresponding absolute value of B grade, and the corresponding absolute value of B grade is less than the corresponding absolute value of C grade, phase
Ying Di is blurred the ascending sequence of degree: A < B < C, then, the corresponding pixel of each absolute value in A grade according to
Gaussian coefficient a carries out Fuzzy processing, and the corresponding pixel of each absolute value in B grade carries out mould according to gaussian coefficient b
Gelatinization processing, the corresponding pixel of each absolute value in C grade carry out Fuzzy processing according to gaussian coefficient c.
The first Fuzzy processing mode can judge above-mentioned multiple differences, when difference is less than or equal to 0, then
Fuzzy processing is not carried out to the corresponding pixel of the difference, the reason is that, difference is less than or equal to 0, then it is believed that the difference
The corresponding spatial position of corresponding pixel is close shot, and it is clear to keep.If difference is greater than 0, it is believed that the difference is corresponding
The corresponding spatial position of pixel is distant view, carries out Fuzzy processing, and difference is bigger, and blurring degree is bigger, and difference is smaller, mould
Gelatinization degree is smaller.Certainly, second of Fuzzy processing mode, point etc. being also referred in the first Fuzzy processing mode
Grade blurring degree, it may be assumed that this partial difference by difference greater than 0 is divided into multiple grades, and each grade uses corresponding Gauss system
Number carries out Fuzzy processing.
Wherein, the specific descriptions of other steps in Fig. 2 described embodiment can refer at image described in Fig. 1
The specific descriptions of reason method, details are not described herein.
It is specific as follows the following are the device for implementing image processing method described in Fig. 1 or Fig. 2:
Fig. 3 a is please referred to, is a kind of schematic structural diagram of the first embodiment of terminal provided in an embodiment of the present invention.This implementation
Terminal described in example, comprising: the first determination unit 301, the second determination unit 302 and processing unit 303, specific as follows:
First determination unit 301, the focusing area of the preview image of the camera shooting for determining terminal and non-focusing
Region；
Second determination unit 302, it is every in the preview image for being determined using the laser range sensor of the terminal
The distance between spatial position indicated by one pixel and the camera obtain N number of distance value, the picture of the preview image
Vegetarian refreshments number is the N, and the N is positive integer；
Processing unit 303, for keep the focusing area clearly under the premise of, according to second determination unit
The non-focusing area that the 302 N number of distance values determined determine first determination unit 301 carries out at blurring
Reason.
Optionally, first determination unit 301 is specifically used for:
The target area in the preview image of the camera shooting of terminal is chosen, using the target area as focusing area,
And using the region other than the focusing area as non-focusing area, wherein the preview image includes multiple isolated areas, institute
Stating target area is at least one of the multiple isolated area.
Optionally, first determination unit 301 also particularly useful for:
It receives and chooses instruction, choose the indicated independence of instruction by described in the preview image that the camera of terminal is shot
Region is as focusing area, and using the region other than the focusing area as non-focusing area；
Alternatively,
Using the specified region in the preview image as focusing area, and using the region other than the focusing area as
Non- focusing area.
Optionally, as shown in Figure 3b, first determination unit 301 of terminal described in Fig. 3 a includes:
Detection module 3011, the preview image for the camera shooting to terminal carry out target detection；
First determining module 3012, for using the target region of the detection as focusing area.
Further, the detection module 3011 includes:
Binary processing module (does not mark) in figure, and the preview image for the camera shooting to terminal carries out binaryzation
Processing, obtains binaryzation preview image；
Extraction module (does not mark) in figure, for extracting the profile of the binaryzation preview image；
Identification module (does not mark) in figure, for carrying out image recognition to the profile, to identify in the profile
Target.
Optionally, such as Fig. 3 c, the processing unit 303 of terminal described in Fig. 3 a includes:
Second determining module 3031, for determining average distance value according to M distance value, wherein the M distance value be
The distance between all or part of pixel and the camera are worth in the focusing area, and the M is positive integer, and is less than
The N；
Computing module 3032, for calculate the corresponding distance value of each pixel in the non-focusing area with it is described average
Difference between distance value obtains multiple differences；
Fuzzy processing module 3033, for being carried out at blurring according to the multiple difference to the non-focusing area
Reason.
As can be seen that terminal described in through the embodiment of the present invention, it may be determined that the preview graph of the camera shooting of terminal
The focusing area of picture and non-focusing area determine each pixel in the preview image using the laser range sensor of the terminal
The distance between indicated spatial position and the camera, obtain N number of distance value, and the pixel number of the preview image is institute
State N, should be positive integer, keep the focusing area clearly under the premise of, the non-focusing area is carried out according to N number of distance value
Fuzzy processing.Therefore, can be after focusing area and non-focusing area be determined, it can be according between terminal and each pixel
Distance value to non-focusing area carry out Fuzzy processing, thus, simplify the operation of background blurring realization in the prior art
Journey, and due to carrying out background blurring processing to non-focusing area according to distance, thus, obtained background blurring image effect is more
It is true to nature.
Referring to Fig. 4, being a kind of schematic structural diagram of the second embodiment of terminal provided in an embodiment of the present invention.The present embodiment
Described in terminal, comprising: at least one input equipment 1000；At least one output equipment 2000；At least one processor
3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output equipment 2000, processor 3000 and memory
4000 are connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely touch panel, physical button or mouse, fingerprint recognition mould group etc.
Deng.
Above-mentioned output equipment 2000 concretely display screen.
Above-mentioned memory 4000 can be high speed RAM memory, can also be non-labile memory (non-volatile
), such as magnetic disk storage memory.Above-mentioned memory 4000 is used to store a set of program code, above-mentioned input equipment 1000, defeated
Equipment 2000 and processor 3000 are used to call the program code stored in memory 4000 out, perform the following operations:
Above-mentioned processor 3000, is used for:
Determine the focusing area and non-focusing area of the preview image of the camera shooting of terminal；
Space indicated by each pixel in the preview image is determined using the laser range sensor of the terminal
The distance between position and the camera obtain N number of distance value, and the pixel number of the preview image is the N, described
N is positive integer；
Keep the focusing area clearly under the premise of, the non-focusing area is carried out according to N number of distance value
Fuzzy processing.
Optionally, the focusing area of the preview image of the camera shooting of the determining terminal of above-mentioned processor 3000 and non-focusing
Region, comprising:
The target area in the preview image of the camera shooting of terminal is chosen, using the target area as focusing area,
And using the region other than the focusing area as non-focusing area, wherein the preview image includes multiple isolated areas, institute
Stating target area is at least one of the multiple isolated area.
Optionally, above-mentioned processor 3000 chooses the target area in the preview image of the camera shooting of terminal, comprising:
It receives and chooses instruction；
By the indicated isolated area of instruction of choosing as focusing in the preview image that the camera of terminal is shot
Region, and using the region other than the focusing area as non-focusing area；
Alternatively,
Using the specified region in the preview image as focusing area, and using the region other than the focusing area as
Non- focusing area.
Optionally, above-mentioned processor 3000 determines the focusing area of the preview image of the camera shooting of terminal, comprising:
Target detection is carried out to the preview image of the camera shooting of terminal；
Using the target region of the detection as focusing area.
Optionally, above-mentioned processor 3000 carries out target detection to the preview image of the camera shooting of terminal, comprising:
Binary conversion treatment is carried out to the preview image of the camera shooting of terminal, obtains binaryzation preview image；
Extract the profile of the binaryzation preview image；
Image recognition is carried out to the profile, to identify the target in the profile.
Optionally, above-mentioned processor 3000 carries out Fuzzy processing to the non-focusing area according to N number of distance value,
Include:
Determine average distance value according to M distance value, wherein the M distance value be the focusing area in it is all or
The distance between person's partial pixel point and the camera value, the M is positive integer, and is less than the N；
The difference in the non-focusing area between each corresponding distance value of pixel and the average distance value is calculated,
Obtain multiple differences；
Fuzzy processing is carried out to the non-focusing area according to the multiple difference.
The embodiment of the present invention also provides a kind of computer storage medium, wherein the computer storage medium can be stored with journey
Sequence, the program include some or all of any image processing method recorded in above method embodiment step when executing
Suddenly.
Although combining each embodiment herein, invention has been described, however, implementing the claimed invention
In the process, those skilled in the art are by checking the attached drawing, disclosure and the appended claims, it will be appreciated that and it is real
Other variations of the existing open embodiment.In the claims, " comprising " (comprising) word is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Claim may be implemented in single processor or other units
In several functions enumerating.Mutually different has been recited in mutually different dependent certain measures, it is not intended that these are arranged
It applies to combine and generates good effect.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, apparatus (equipment) or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the present invention
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part can also use other distribution forms, such as pass through the wired or wireless telecommunication system of Internet or other.
The present invention be referring to the embodiment of the present invention method, apparatus (equipment) and computer program product flow chart with/
Or block diagram describes.It should be understood that each process that can be realized by computer program instructions in flowchart and/or the block diagram and/
Or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer program instructions
To general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor to generate one
A machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although in conjunction with specific features and embodiment, invention has been described, it is clear that, do not departing from this hair
In the case where bright spirit and scope, it can be carry out various modifications and is combined.Correspondingly, the specification and drawings are only institute
The exemplary illustration of the invention that attached claim is defined, and be considered as covered in the scope of the invention any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art various changes and modifications can be made to the invention without
It is detached from the spirit and scope of the present invention.If in this way, these modifications and changes of the present invention belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to include these modifications and variations.
Claims (13)
1. a kind of image processing method characterized by comprising
Determine the focusing area and non-focusing area of the preview image of the camera shooting of terminal；
Spatial position indicated by each pixel in the preview image is determined using the laser range sensor of the terminal
The distance between described camera obtains N number of distance value, and the pixel number of the preview image is the N, and the N is
Positive integer；
Keep the focusing area clearly under the premise of, the non-focusing area is obscured according to N number of distance value
Change processing, comprising: the mean value for determining the corresponding all distance values of focusing area obtains the first mean value；Non- focusing area is determined respectively
The mean value of all distance values corresponding to each isolated area in domain, obtains multiple second mean values；Then, according to described first
Value and the multiple second mean value determine the fuzzy coefficient of each isolated area in the non-focusing area；Respectively according to institute
The fuzzy coefficient for stating each isolated area carries out Fuzzy processing to each isolated area.
2. the method according to claim 1, wherein preview image that the camera of the determining terminal is shot
Focusing area and non-focusing area, comprising:
The target area in the preview image of the camera shooting of terminal is chosen, using the target area as focusing area, and will
Region other than the focusing area is as non-focusing area, wherein the preview image includes multiple isolated areas, the mesh
Marking region is at least one of the multiple isolated area.
3. according to the method described in claim 2, it is characterized in that, in the preview image of the camera shooting for choosing terminal
Target area, comprising:
It receives and chooses instruction；
By the indicated isolated area of instruction of choosing as focusing area in the preview image that the camera of terminal is shot,
And using the region other than the focusing area as non-focusing area；
Alternatively,
Using the specified region in the preview image as focusing area, and using the region other than the focusing area as non-right
Burnt region.
4. the method according to claim 1, wherein preview image that the camera of the determining terminal is shot
Focusing area, comprising:
Target detection is carried out to the preview image of the camera shooting of terminal；
Using the target region of the detection as focusing area.
5. according to the method described in claim 4, it is characterized in that, the preview image of the camera shooting to terminal carries out
Target detection, comprising:
Binary conversion treatment is carried out to the preview image of the camera shooting of terminal, obtains binaryzation preview image；
Extract the profile of the binaryzation preview image；
Image recognition is carried out to the profile, to identify the target in the profile.
6. method according to any one of claims 1 to 5, which is characterized in that it is described according to N number of distance value to described
Non- focusing area carries out Fuzzy processing, further includes:
Average distance value is determined according to M distance value, wherein the M distance value is all or portion in the focusing area
Divide the distance between pixel and the camera value, the M is positive integer, and is less than the N；
The difference in the non-focusing area between each corresponding distance value of pixel and the average distance value is calculated, is obtained
Multiple differences；
Fuzzy processing is carried out to the non-focusing area according to the multiple difference.
7. a kind of terminal characterized by comprising
First determination unit, the focusing area and non-focusing area of the preview image of the camera shooting for determining terminal；
Second determination unit, for determining each pixel in the preview image using the laser range sensor of the terminal
The distance between indicated spatial position and the camera obtain N number of distance value, the pixel number of the preview image
It is positive integer for the N, the N；
Processing unit, for keep the focusing area clearly under the premise of, the institute that is determined according to second determination unit
It states N number of distance value and Fuzzy processing is carried out to the non-focusing area that first determination unit determines, comprising: determine focusing
The mean value of the corresponding all distance values in region, obtains the first mean value；Determine that each isolated area institute is right in non-focusing area respectively
The mean value for all distance values answered obtains multiple second mean values；Then, according to first mean value and the multiple second mean value
Determine the fuzzy coefficient of each isolated area in the non-focusing area；Respectively according to each isolated area
Fuzzy coefficient carries out Fuzzy processing to each isolated area.
8. terminal according to claim 7, which is characterized in that first determination unit is specifically used for:
The target area in the preview image of the camera shooting of terminal is chosen, using the target area as focusing area, and will
Region other than the focusing area is as non-focusing area, wherein the preview image includes multiple isolated areas, the mesh
Marking region is at least one of the multiple isolated area.
9. terminal according to claim 8, which is characterized in that first determination unit also particularly useful for:
It receives and chooses instruction, choose the indicated isolated area of instruction by described in the preview image that the camera of terminal is shot
As focusing area, and using the region other than the focusing area as non-focusing area；
Alternatively,
Using the specified region in the preview image as focusing area, and using the region other than the focusing area as non-right
Burnt region.
10. terminal according to claim 7, which is characterized in that first determination unit includes:
Detection module, the preview image for the camera shooting to terminal carry out target detection；
First determining module, for using the target region of the detection as focusing area.
11. terminal according to claim 10, which is characterized in that the detection module includes:
Binary processing module, the preview image for the camera shooting to terminal carry out binary conversion treatment, obtain binaryzation
Preview image；
Extraction module, for extracting the profile of the binaryzation preview image；
Identification module, for carrying out image recognition to the profile, to identify the target in the profile.
12. according to the described in any item terminals of claim 7 to 11, which is characterized in that the processing unit further include:
Second determining module, for determining average distance value according to M distance value, wherein the M distance value is the focusing
The distance between all or part of pixel and the camera are worth in region, and the M is positive integer, and is less than the N；
Computing module, for calculate the corresponding distance value of each pixel in the non-focusing area and the average distance value it
Between difference, obtain multiple differences；
Fuzzy processing module, for carrying out Fuzzy processing to the non-focusing area according to the multiple difference.
13. a kind of terminal characterized by comprising
Processor and memory；Wherein, the processor is by calling the code in the memory or instructing to execute such as power
Benefit requires method described in 1-6 any one.
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