CN105989575B - A kind of image fuzzy processing method and device - Google Patents
A kind of image fuzzy processing method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of image fuzzy processing method and devices to make image realize frosted glass effect for completing the Fuzzy Processing to image.The method comprise the steps that being cut to original image, at least two subgraphs after generating cutting；Image Fuzzy Processing is carried out at least two subgraphs after the cutting, respectively obtains the blur effect figure corresponding to each subgraph；The blur effect figure for corresponding to each subgraph is shown according to the sequence for carrying out each subgraph of cutting generation to the original image.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of image fuzzy processing methods and device.
Background technique
Currently in order to image is realized frosted glass effect, need to carry out image Fuzzy Processing to image, at the fuzzy place of image
In the implementation strategy of reason, a kind of image fuzzy processing method existing in the prior art is that a fixed blurred picture is used to make
For template, the template is stacked on the original image, to make original image that can show frosted glass effect.But for original graph
The image template being superimposed as will increase the size of image, this just needs to occupy more memory headrooms, while if opening up
If showing that the stage carries out compression of images, the display delay for showing image is also resulted in, there are showing interface performance deficiencies.
Another kind image fuzzy processing method existing in the prior art is to replace original using a kind of image of equivalent specifications
Beginning image imitates frosted glass effect to reach.This method is applicable to multiple images that picture material varies less, directly
Replacement original image does not need to carry out Fuzzy Processing, but if image is dynamic download or generation, picture material
It being impossible to immobilize, the same specification image of direct replacement just cannot achieve the frosted glass effect imitation to original image,
It is only applicable to the image that content is basically unchanged in this way.
Summary of the invention
The embodiment of the invention provides a kind of image fuzzy processing method and devices, for completing the fuzzy place to image
Reason makes image realize frosted glass effect.
In order to solve the above technical problems, the embodiment of the present invention the following technical schemes are provided:
In a first aspect, the embodiment of the present invention provides a kind of image fuzzy processing method, comprising:
Original image is cut, at least two subgraphs after generating cutting；
Image Fuzzy Processing is carried out at least two subgraphs after the cutting, is respectively obtained corresponding to each subgraph
Blur effect figure；
It is shown according to the sequence for carrying out each subgraph of cutting generation to the original image described corresponding to each subgraph
The blur effect figure of picture.
Second aspect, the embodiment of the present invention also provide a kind of image Fuzzy Processing device, comprising:
Cutting module, for being cut to original image, at least two subgraphs after generating cutting；
Fuzzy Processing module, for carrying out image Fuzzy Processing at least two subgraphs after the cutting, respectively
To the blur effect figure for corresponding to each subgraph；
Display module, it is described right for being shown according to the sequence for carrying out each subgraph of cutting generation to the original image
It should be in the blur effect figure of each subgraph.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that
In embodiments of the present invention, original image is cut first, at least two subgraphs after generating cutting, so
Image Fuzzy Processing is carried out at least two subgraphs after cutting afterwards, respectively obtains the blur effect corresponding to each subgraph
Figure finally shows the fuzzy effect corresponding to each subgraph according to the sequence for carrying out each subgraph of cutting generation to original image
Fruit figure.Since original image is cut at least two subgraphs, it is possible to directly be carried out respectively to the subgraph after cutting
Image Fuzzy Processing, without being obscured again to original image, cut generation multiple subgraphs can according to actual needs into
The flexible image Fuzzy Processing of row, may be implemented to make full use of, show finally for device resource idle in terminal device
When can be shown according to the sequence of spanning subgraph picture, so the cutting of original image will not influence to show result to the end.
Due to not needing to be superimposed template to original image or directly replacing original image, therefore image committed memory space is not will lead to
Increase, is readily applicable to the image of dynamic download.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those skilled in the art, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of process blocks schematic diagram of image fuzzy processing method provided in an embodiment of the present invention；
Fig. 2-a is a kind of implementation schematic diagram provided in an embodiment of the present invention cut to original image；
Fig. 2-b is the ordinal relation schematic diagram of convolution matrix instruction provided in an embodiment of the present invention；
The convolution matrix schematic diagram that Fig. 2-c is provided in an embodiment of the present invention 5 × 5；
The convolution matrix schematic diagram that Fig. 2-d is provided in an embodiment of the present invention 6 × 6；
Fig. 2-e is the schematic diagram that the first lap provided in an embodiment of the present invention to convolution matrix is numbered；
Fig. 2-f is the schematic diagram that the second circle provided in an embodiment of the present invention to convolution matrix is numbered；
Fig. 2-g is the Fuzzy Processing flow diagram in the embodiment of the present invention to original image；
Fig. 3-a is a kind of composed structure schematic diagram of image Fuzzy Processing device provided in an embodiment of the present invention；
Fig. 3-b is a kind of composed structure schematic diagram of cutting module provided in an embodiment of the present invention；
Fig. 3-c is a kind of composed structure schematic diagram of Fuzzy Processing module provided in an embodiment of the present invention；
Fig. 3-d is the composed structure schematic diagram of another Fuzzy Processing module provided in an embodiment of the present invention；
Fig. 4 is the composed structure schematic diagram that image fuzzy processing method provided in an embodiment of the present invention is applied to terminal.
Specific embodiment
The embodiment of the invention provides a kind of image fuzzy processing method and devices, for completing the fuzzy place to image
Reason makes image realize frosted glass effect.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiments.Based on the embodiments of the present invention, this field
Technical staff's every other embodiment obtained, shall fall within the protection scope of the present invention.
Term " includes " in description and claims of this specification and above-mentioned attached drawing and " having " and they
Any deformation, it is intended that covering non-exclusive includes so as to a series of process, method comprising units, system, product or to set
It is standby to be not necessarily limited to those units, but be not clearly listed or these process, methods, product or equipment are consolidated
The other units having.
It is described in detail separately below.
One embodiment of image fuzzy processing method of the present invention specifically can be applied to show image in terminal device
During the realization of frosted glass effect, refering to Figure 1, image fuzzy processing method provided by one embodiment of the present invention,
It may include steps of:
101, original image is cut, at least two subgraphs after generating cutting.
In embodiments of the present invention, original image is enter into the image for needing to carry out Fuzzy Processing in terminal device, should
The picture format of original image can be set according to concrete application scene.For example, shifting to an earlier date drawing program in Android system
(onPreDraw) image exported is original image defined in the embodiment of the present invention.It is first right after getting original image
Original image is cut, and an original image is cut at least two subgraphs, each subgraph constitutes original image
Subset is the life of each subgraph when original image is cut to the sequence that original image carries out each subgraph of cutting generation
At sequencing.
In some embodiments of the invention, before being cut to original image, image provided in an embodiment of the present invention
Fuzzy processing method can also include the following steps: for needing the original image of Fuzzy Processing to carry out size modification, example
Such as, the general size of usual image is fixed, be not for picture size it is standard-sized, Android system can be called
API carries out uniform sizes modification, to guarantee that the size of original image to be cut is cut according to fixed dimension.
It should be noted that in embodiments of the present invention, getting original image and needing to carry out Fuzzy Processing, but obtain
It is not Fuzzy Processing directly to be carried out to original image, but cut first, an original image after to original image
At least two subgraphs are cut into, such as can be two or three or four subgraphs, for example, please referring to such as Fig. 2-a
It is shown, it is a kind of implementation schematic diagram provided in an embodiment of the present invention cut to original image, one of them is original
Image is cut into multiple subgraphs, and can carry out serial number 1,2,3,4 ... to each subgraph, in order to accurately remember
Record the genesis sequence of each subgraph.The number of sub-images being specifically cut into can be in conjunction with specific application scenarios and use
Cutting mode determines, is next illustrated respectively.
In some embodiments of the invention, step 101 cuts original image, and at least two after being cut
Subgraph can specifically include following steps:
101 ', original image is successively cut according to the ordinal relation of convolution matrix instruction, and saves life after cutting
At at least two subgraphs.
Wherein, convolution matrix also referred to as circles round character matrix, and the sequence of each element is according to from outer ring in convolution matrix
It is incremented by successively to inner ring spiral, it please refers to as shown in Fig. 2-b, the sequence for convolution matrix instruction provided in an embodiment of the present invention is closed
It is schematic diagram, wherein after being cut to original image, can be sequentially generated according to the ordinal relation indicated in Fig. 2-b multiple
Subgraph.Original image can successively be cut according to this ordinal relation of convolution matrix instruction, it can after the completion of cutting
To obtain multiple subgraphs, wherein the number of the subgraph cut is also different when the matrix size difference of convolution matrix,
Specifically, step 101 ' specifically can further include the following steps:
A1, original image is cut into according to the matrix size of convolution matrix by multiple subgraphs with matrix size same number
Picture；
A2, multiple subgraphs are numbered respectively according to the position inteerelated order of each element in convolution matrix.
Wherein, for step A1, the matrix size for the matrix that circles round directly determines the subgraph number being cut to, i.e., original
The subgraph number needs that image is cut to are identical as the convolution matrix size holding of matrix, for example, please referring to Fig. 2-c institute
Show, is provided in an embodiment of the present invention 5 × 5 convolution matrix schematic diagram, int i=5, which indicates suitable
Order relation is to illustrate according to circle shown in Fig. 2-c, for another example, is please referred to shown in Fig. 2-d, is provided in an embodiment of the present invention 6
The ordinal relation of × 6 convolution matrix schematic diagram, int i=6,6 × 6 convolution matrix instruction is according to shown in Fig. 2-d
Circle signal.After original image is cut into multiple subgraphs with matrix size same number, execute step A2 according to
Multiple subgraphs are numbered in the position inteerelated order of each element respectively in convolution matrix, in, each element in the matrix that circles round
Position inteerelated order is referred to according to the sequence incremented by successively to inner ring spiral from outer ring indicated in convolution matrix, rather than the square that circles round
The sequence of positions of ranks where each element in battle array.
Next the cutting of original image is illustrated by taking 6 × 6 convolution matrix as an example, according to the matrix of convolution matrix
For size 6 × 6 it is found that original image can be cut into 36 subgraphs, the subgraph number after being cut is 36 pieces.It is each
The number order of subgraph can be got by following convolution algorithm model.
1, it is circle one by one by this convolution matrix decomposition, please refers to shown in Fig. 2-d, 1-20 can regard a circle as,
21-32 is a circle, and 33-36 is also a circle.
2, convolution matrix is divided into 3 circles and then each circle is decomposed into four impartial ordered series of numbers.Please refer to Fig. 2-e
It is shown, it is a number for the schematic diagram that the first lap provided in an embodiment of the present invention to convolution matrix is numbered, 1,2,3,4,5
Column, 6,7,8,9,10 be an ordered series of numbers, and 11,12,13,14,15 be an ordered series of numbers, and 16,17,18,19,20 be an ordered series of numbers.
3, the number for exporting each subgraph can realize that record circle number works as front ring with a two-dimensional array storage matrix
Ordered series of numbers length, the number that starts counting of He Gequan.Such as i indicate n*n convolution matrix and elongated size, i=6 at present,
Ordered series of numbers a length of 5 when the 1st circle, the number started counting are the 0, the 2nd circle ordered series of numbers a length of 3, and the number started counting is 20；From these rule
Rule sums up, it is known that elongated is i, it is assumed that when front ring number is count, calculating is since 0, and the 1st circle count value is the 0, the 2nd
Enclosing count value is 1, then the long step=i-1-count*2 of ordered series of numbers, please refers to shown in Fig. 2-f, is provided in an embodiment of the present invention
To the schematic diagram that the second circle of convolution matrix is numbered, first number of the 2nd circle is 21, the long step=6- of column of the 2nd circle
1-1*2=3.
In convolution model algorithm as exemplified above, there can be general code segment to indicate logic, use 1,2 respectively,
3,4 come indicate it is right, under, left, upper this four ordered series of numbers, specifically, following algorithm can also be performed, naturally it is also possible to according to as follows
Algorithm makes corresponding transformation according to actual application scenarios, and the present invention is without limitation.
102, image Fuzzy Processing is carried out at least two subgraphs after cutting, respectively obtained corresponding to each subgraph
Blur effect figure.
In embodiments of the present invention, original image is cut after obtaining at least two subgraphs, to after cutting at least
Two subgraphs carry out image Fuzzy Processing respectively, it is possible to it is fuzzy that flexibly at least two subgraphs be carried out with image respectively
Processing, respectively obtains the blur effect figure corresponding to each subgraph, and blur effect figure refers to that subgraph is fuzzy according to image
The blur effect generated after processing.The institute obtained in segmentation wherein can be used separately as to the various ways of image Fuzzy Processing
There is each subgraph in subgraph, each subgraph is available corresponding to the fuzzy of the subgraph by image Fuzzy Processing
Effect picture.It can be according in the original image of each subgraph before cutting when to each subgraph progress image Fuzzy Processing
Position selects specific fuzzy algorithmic approach, can be from the subgraph in edge using different for instance in the subgraph of non-edge
Fuzzy algorithmic approach, in bottom and upper segment subgraph use different fuzzy algorithmic approaches.
It should be noted that in embodiments of the present invention, since original image is cut at least two subgraphs, so
Image Fuzzy Processing directly can be carried out to the subgraph after cutting respectively, without being obscured again to original image, cut
The multiple subgraphs generated can carry out flexible image Fuzzy Processing according to actual needs, for equipment idle in terminal device
Resource may be implemented to make full use of, such as central processing unit idle in terminal device (Central Processing Unit,
CPU) and memory may be used to the image Fuzzy Processing to each subgraph, configure in the operating system of terminal device compared with Gao Qing
Under condition, the device resource in terminal device may also refer to graphics processor (Graphic Processing Unit, GPU),
It can be used for the image Fuzzy Processing to each subgraph by GPU.
In some embodiments of the invention, at least two subgraphs after step 102 pair cutting carry out the fuzzy place of image
Reason, respectively obtains the blur effect figure corresponding to each subgraph, can specifically include following steps:
B1, the carry out Gaussian Blur processing parallel at least two subgraphs after cutting, respectively obtain corresponding to each
The Gaussian Blur effect picture of subgraph.
Wherein, a kind of achievable mode is to the progress Gaussian Blur processing of each subgraph, and each subgraph
Carrying out Gaussian Blur processing is also parallel processing, then each subgraph can obtain after carrying out Gauss Fuzzy Processing
One Gaussian Blur effect picture, wherein blur effect figure described in step 102 can be specially Gaussian Blur effect picture.
Since an original image has been cut into multiple subgraphs, the Fuzzy Processing of each subgraph can be while carry out
, it is higher to the device resource utilization rate in terminal device, avoid the idle waste of device resource in terminal device.
It should be noted that Gaussian Blur effect picture be by carrying out Gaussian Blur generation respectively to each subgraph,
Gaussian Blur processing can be using image Gaussian Blur mode be commonly used, can be to each as rope point in Gaussian Blur processing
As rope value all take peripheral image rope point as rope value average value, numerically this is a kind of mode of smoothing techniques, is being schemed
It is equivalent to produce blur effect on picture, intermediary image vegetarian refreshments loses details.So calculating the flat of the pixel value of intermediary image vegetarian refreshments
When mean value, value range (i.e. the value of the number of peripheral image vegetarian refreshments) is bigger, and blur effect is stronger.
For example, using Android system with terminal device, carried by Android system
RenderScript interface can carry out Gaussian Blur processing to subgraph, and RenderScript interface processing Gaussian Blur picture is
It is most efficient, and can make full use of the resource of terminal device.It should be noted that only more than android2.2 system
Version just support RenderScript interface, can also be without using version more than android2.2 system in the embodiment of the present invention
This, i.e., do not only use the processing of the CPU and memory progress Gaussian Blur algorithm of terminal device, institute by RenderScript interface
It can be it is preferable to adapt to any equipment and system with the present invention, and it is easy extension.
In other embodiments of the invention, it is fuzzy that at least two subgraphs after step 102 pair cutting carry out image
Processing, respectively obtains the blur effect figure corresponding to each subgraph, can specifically include following steps:
C1, the carry out Gaussian Blur processing parallel at least two images after cutting；
If C2, having there is subgraph to generate Gaussian Blur effect picture, to the subgraph for not yet generating Gaussian Blur effect picture
As carrying out stretch processing, perhaps superposition processing generates the fuzzy effect picture of stretching or is superimposed fuzzy effect picture.
That is, in embodiments of the present invention, the parallel progress of the multiple subgraphs obtained after cutting in step C1 is high
This Fuzzy Processing, but need to spend the time in calculating process, if multiple subgraph fuzzy output results that cutting generates
Time it is also different, in order to preferably it is fault-tolerant, do not allow whole image show inconsistent, execution step C2, can be in the son having
Image not yet exports Gaussian Blur effect picture to these subgraph when exporting Gaussian Blur effect picture not yet executes at stretching
Reason or superposition processing, to guarantee that the blur effect figure generated can be shown on the screen of terminal device simultaneously.Wherein,
The stretching of subgraph is referred to stretching the length or width of subgraph, to complete to the Fast Fuzzy of subgraph
Reason, refers to the superimposed image template on subgraph to the superposition of subgraph, to complete to handle the Fast Fuzzy of subgraph.
Such as in aforementioned citing, original image is cut by 36 subgraphs by convolution matrix, it is parallel to this 36 subgraphs into
Row Gaussian Blur processing, if wherein there is 10 subgraphs to carry out Gaussian Blurs processing faster, when there is 10 subgraphs defeated
Out when Gaussian Blur effect picture, Gaussian Blur effect picture is not exported there are also 26 subgraphs, it at this time can be to this 26 subgraphs
As carrying out stretch processing, perhaps superposition processing obtains the fuzzy effect picture of the corresponding stretching of 26 subgraphs or superposition blur effect
Figure.The description of the present invention through the above scheme is it is found that the above method can make full use of idle terminal device resource, in terminal
There are cpu and gpu in equipment carries RenderScript interface using android in the case that equipment allows come Gaussian mode
Paste picture is most efficient, and can make full use of cell phone apparatus resource.The optimization on mapping strategies may be implemented in the present invention.
It is above-mentioned when carrying out frosted glass bandwagon effect, be not until all segmentations subgraph all completes Gaussian Blur processing later again
All displays, but directly the Gaussian Blur effect picture of Gaussian Blur processing has been completed in output, for not completing Gaussian Blur
Subgraph can by stretch and superposition processing it is fuzzy to achieve the purpose that.Here it just combines existing superposition processing and is
The method that statistics is calculated reaches efficient frosted glass bandwagon effect.
At least two subgraphs in other embodiments of the invention, after cutting, comprising: the first subgraph and second
Subgraph.At least two subgraphs after step 102 pair cutting carry out image Fuzzy Processing, respectively obtain corresponding to each subgraph
The blur effect figure of picture, can specifically include following steps:
D1, Gaussian Blur processing is carried out to the first subgraph, obtains the Gaussian Blur effect picture corresponding to the first subgraph；
D2, stretch processing or superposition processing are carried out to the second subgraph, obtains the stretching die corresponding to the second subgraph
It pastes effect picture or is superimposed fuzzy effect picture.
That is, the embodiment of the present invention can classify to multiple subgraphs, be divided into after generating multiple subgraphs
Two classes: the first subgraph and the second subgraph, and these two types of subgraphs are executed with different image Fuzzy Processing strategies, wherein
It is set forth in step D1 and step D2 and the first subgraph is handled using Gaussian Blur, to the second subgraph using at stretching
Reason or superposition processing, it is similar, the second subgraph can also be handled using Gaussian Blur, to the first subgraph using stretching
Processing or superposition processing, herein without limitation.It, can be with by executing different image Fuzzy Processing strategies to each subgraph
It realizes to the flexible Fuzzy Processing of original image, the device resource in terminal device may be implemented to utilize comprehensively, it is particularly possible to
Use the device resource to leave unused into equipment.
103, it shows according to the sequence for carrying out each subgraph of cutting generation to original image corresponding to each subgraph
Blur effect figure.
In embodiments of the present invention, after getting the blur effect figure corresponding to each subgraph, according in step 101
Cutting original image generates each blur effect figure that the sequence of each subgraph is shown, wherein cutting original image generates
The sequence of each subgraph can be genesis sequence when generating each subgraph, and cutting original image generates each subgraph
Sequence is related with the method that uses of cutting, such as cutting original image generates the sequence of each subgraph and can be convolution matrix and refer to
The ordinal relation shown is also possible to suitable to the number of each subgraph to the association sequence according to each element in convolution matrix
Sequence.In addition the blur effect figure that display corresponds to each subgraph can be is output to display in the display interface of terminal device
It is shown on screen.
In some embodiments of the invention, under the realization scene for executing step B1, step 103 is according to original image
The sequence for carrying out each subgraph of cutting generation shows the blur effect figure for corresponding to each subgraph, comprising:
The Gauss corresponding to each subgraph is shown according to the sequence for carrying out each subgraph of cutting generation to original image
Blur effect figure.
That is, the blur effect figure generated in step 102 refers specifically to Gauss effect picture.
In some embodiments of the invention, under the realization scene for executing step C1 and C2, step 103 is according to original
The sequence that image carries out each subgraph of cutting generation shows the blur effect figure corresponding to each subgraph, comprising:
The Gauss corresponding to each subgraph is shown according to the sequence for carrying out each subgraph of cutting generation to original image
Blur effect figure stretches fuzzy effect picture or is superimposed fuzzy effect picture.
That is, the blur effect figure generated in step 102 refers specifically to Gauss effect picture or stretches blur effect
Figure or the fuzzy effect picture of superposition.
In some embodiments of the invention, under the realization scene for executing step D1 and D2, step 103 is according to original
The sequence that image carries out each subgraph of cutting generation shows the blur effect figure corresponding to each subgraph, comprising:
The Gauss corresponding to the first subgraph is shown according to the sequence for carrying out each subgraph of cutting generation to original image
Blur effect figure, and the fuzzy effect picture of stretching or the fuzzy effect picture of superposition corresponding to the second subgraph.
That is, the blur effect figure generated in step 102 refers specifically to Gauss effect picture or stretches blur effect
Figure or the fuzzy effect picture of superposition.
For example, the blur effect figure that display corresponds to each subgraph in step 103 in the embodiment of the present invention can be with
It is realized, is please referred to as shown in Fig. 2-g by drawing program in Android system (onDraw), be in the embodiment of the present invention to original
The Fuzzy Processing flow diagram of beginning image gets original graph wherein first listening to the onPreDraw in Android system
Then picture carries out cutting original image, generate at least two subgraphs, saves subgraph into the memory list oneself established,
The subgraph cut in memory is handled by Gaussian Blur, then is output to onDraw.
It should be noted that onPreDraw and onDraw are the functions that Android system provides, as external users
Only need to monitor and two functions of heavy duty can, workable pseudocode is as follows in process as described above:
By above embodiments to the description of the embodiment of the present invention it is found that being cut first to original image, generation is cut
Then at least two subgraphs after cutting carry out image Fuzzy Processing at least two subgraphs after cutting, respectively obtain pair
It should finally be shown according to the sequence for carrying out each subgraph of cutting generation to original image in the blur effect figure of each subgraph
Blur effect figure corresponding to each subgraph.Since original image is cut at least two subgraphs, it is possible to directly
Image Fuzzy Processing is carried out to the subgraph after cutting respectively, without obscuring again to original image, cuts the more of generation
A subgraph can carry out flexible image Fuzzy Processing according to actual needs, can be with for device resource idle in terminal device
Realization makes full use of, and can be shown according to the sequence of spanning subgraph picture in last display, so the cutting of original image
It will not influence and show result to the end.Due to not needing to be superimposed template to original image or directly replacing original image, therefore not
The increase that will lead to image committed memory space is readily applicable to the image of dynamic download.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because
According to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules is not necessarily of the invention
It is necessary.
For the above scheme convenient for the better implementation embodiment of the present invention, phase for implementing the above scheme is also provided below
Close device.
It please refers to shown in Fig. 3-a, a kind of image Fuzzy Processing device 300 provided in an embodiment of the present invention, may include: to cut
Cut module 301, Fuzzy Processing module 302, display module 303, wherein
Cutting module 301, for being cut to original image, at least two subgraphs after generating cutting；
Fuzzy Processing module 302, for carrying out image Fuzzy Processing at least two subgraphs after the cutting, respectively
Obtain the blur effect figure corresponding to each subgraph；
Display module 303, for carrying out the sequence display institute that cutting generates each subgraph according to the original image
State the blur effect figure corresponding to each subgraph.
In some embodiments of the invention, the cutting module 301, specifically for the sequence according to convolution matrix instruction
Relationship successively cuts the original image, and saves at least two subgraphs generated after cutting.
Further, it please refers to as shown in Fig. 3-b, the cutting module 301, comprising:
Submodule 3011 is cut, for being cut into the original image and the square according to the matrix size of convolution matrix
Multiple subgraphs of battle array size same number；
Number submodule 3012, for the position inteerelated order according to each element in convolution matrix to the multiple subgraph point
It is not numbered.
In some embodiments of the invention, the Fuzzy Processing module 302, specifically for after the cutting at least
The parallel carry out Gaussian Blur processing of two subgraphs, respectively obtains the Gaussian Blur effect picture corresponding to each subgraph；
The display module 303, specifically for carrying out the suitable of each subgraph of cutting generation according to the original image
Sequence shows the Gaussian Blur effect picture for corresponding to each subgraph.
In some embodiments of the invention, it please refers to as shown in Fig. 3-c, the Fuzzy Processing module 302, comprising:
First processing submodule 3021, for the carry out Gaussian Blur parallel at least two subgraphs after the cutting
Processing；
Second processing submodule 3022, if for having there is subgraph to generate Gaussian Blur effect picture, to not yet generating
The subgraph of Gaussian Blur effect picture carries out stretch processing, and perhaps superposition processing generates the fuzzy effect picture of stretching or superposition is fuzzy
Effect picture；
The display module 303, specifically for carrying out the suitable of each subgraph of cutting generation according to the original image
Sequence shows the Gaussian Blur effect picture corresponding to each subgraph or stretches fuzzy effect picture or superposition blur effect
Figure.
In some embodiments of the invention, at least two subgraphs after the cutting, comprising: the first subgraph and
Two subgraphs；
It please refers to as shown in Fig. 3-d, the Fuzzy Processing module 302, comprising:
Third handles submodule 3023, for carrying out Gaussian Blur processing to first subgraph, obtains corresponding to institute
State the Gaussian Blur effect picture of the first subgraph；
Fourth process submodule 3024 is obtained for carrying out stretch processing or superposition processing to second subgraph
Stretching corresponding to second subgraph obscures effect picture or is superimposed fuzzy effect picture；
The display module 303, specifically for carrying out the suitable of each subgraph of cutting generation according to the original image
Sequence shows the Gaussian Blur effect picture for corresponding to first subgraph, and the stretching die corresponding to second subgraph
It pastes effect picture or is superimposed fuzzy effect picture.
By generating above to the description of the embodiment of the present invention it is found that cutting module cuts original image first
At least two subgraphs after cutting, then Fuzzy Processing module carries out the fuzzy place of image at least two subgraphs after cutting
Reason, respectively obtains the blur effect figure corresponding to each subgraph, last display module carries out cutting life according to original image
The blur effect figure corresponding to each subgraph is shown at the sequence of each subgraph.Since original image is cut at least two
A subgraph, it is possible to image Fuzzy Processing directly be carried out respectively to the subgraph after cutting, without again to original image
It is obscured, the multiple subgraphs for cutting generation can carry out flexible image Fuzzy Processing according to actual needs, and terminal is set
The device resource of standby middle free time may be implemented to make full use of, and can be shown according to the sequence of spanning subgraph picture in last display
Show, so the cutting of original image will not influence to show result to the end.Due to do not need to original image be superimposed template or
Person directly replaces original image, therefore not will lead to the increase in image committed memory space, is readily applicable to the figure of dynamic download
Picture.
The embodiment of the invention also provides a kind of terminals, as shown in figure 4, for ease of description, illustrating only and the present invention
The relevant part of embodiment, it is disclosed by specific technical details, please refer to present invention method part.The terminal can be
Including mobile phone, tablet computer, PDA (Personal Digital Assistant, personal digital assistant), POS (Point of
Sales, point-of-sale terminal), any terminal device such as vehicle-mounted computer, taking the terminal as an example:
Fig. 4 shows the block diagram of the part-structure of mobile phone relevant to terminal provided in an embodiment of the present invention.With reference to figure
4, mobile phone include: radio frequency (Radio Frequency, RF) circuit 410, memory 420, input unit 430, display unit 440,
Sensor 450, voicefrequency circuit 460, Wireless Fidelity (wireless fidelity, WiFi) module 470, processor 480 and
The components such as power supply 490.It will be understood by those skilled in the art that handset structure shown in Fig. 4 does not constitute the restriction to mobile phone,
It may include perhaps combining certain components or different component layouts than illustrating more or fewer components.
It is specifically introduced below with reference to each component parts of the Fig. 4 to mobile phone:
RF circuit 410 can be used for receiving and sending messages or communication process in, signal sends and receivees, particularly, by base station
After downlink information receives, handled to processor 480；In addition, the data for designing uplink are sent to base station.In general, RF circuit 410
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (Low Noise
Amplifier, LNA), duplexer etc..In addition, RF circuit 410 can also be communicated with network and other equipment by wireless communication.
Any communication standard or agreement, including but not limited to global system for mobile communications (Global can be used in above-mentioned wireless communication
System of Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), wideband code division multiple access
(Wideband Code Division Multiple Access, WCDMA), long term evolution (Long Term Evolution,
LTE), Email, short message service (Short Messaging Service, SMS) etc..
Memory 420 can be used for storing software program and module, and processor 480 is stored in memory 420 by operation
Software program and module, thereby executing the various function application and data processing of mobile phone.Memory 420 can mainly include
Storing program area and storage data area, wherein storing program area can application journey needed for storage program area, at least one function
Sequence (such as sound-playing function, image player function etc.) etc.；Storage data area can be stored to be created according to using for mobile phone
Data (such as audio data, phone directory etc.) etc..It, can be in addition, memory 420 may include high-speed random access memory
Including nonvolatile memory, for example, at least a disk memory, flush memory device or other volatile solid-states
Part.
Input unit 430 can be used for receiving the number or character information of input, and generate with the user setting of mobile phone with
And the related key signals input of function control.Specifically, input unit 430 may include that touch panel 431 and other inputs are set
Standby 432.Touch panel 431, also referred to as touch screen, collect user on it or nearby touch operation (such as user use
The operation of any suitable object or attachment such as finger, stylus on touch panel 431 or near touch panel 431), and root
Corresponding attachment device is driven according to preset formula.Optionally, touch panel 431 may include touch detecting apparatus and touch
Two parts of controller.Wherein, the touch orientation of touch detecting apparatus detection user, and touch operation bring signal is detected,
Transmit a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and is converted into touching
Point coordinate, then gives processor 480, and can receive order that processor 480 is sent and be executed.Furthermore, it is possible to using electricity
The multiple types such as resistive, condenser type, infrared ray and surface acoustic wave realize touch panel 431.In addition to touch panel 431, input
Unit 430 can also include other input equipments 432.Specifically, other input equipments 432 can include but is not limited to secondary or physical bond
One of disk, function key (such as volume control button, switch key etc.), trace ball, mouse, operating stick etc. are a variety of.
Display unit 440 can be used for showing information input by user or be supplied to user information and mobile phone it is various
Menu.Display unit 440 may include display panel 441, optionally, can use liquid crystal display (Liquid Crystal
Display, LCD), the forms such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) it is aobvious to configure
Show panel 441.Further, touch panel 431 can cover display panel 441, when touch panel 431 detect it is on it or attached
After close touch operation, processor 480 is sent to determine the type of touch event, is followed by subsequent processing device 480 according to touch event
Type corresponding visual output is provided on display panel 441.Although in Fig. 4, touch panel 431 and display panel 441
It is that the input and input function of mobile phone are realized as two independent components, but in some embodiments it is possible to by touch-control
Panel 431 and display panel 441 are integrated and that realizes mobile phone output and input function.
Mobile phone may also include at least one sensor 450, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ambient light
Light and shade adjust the brightness of display panel 441, proximity sensor can close display panel 441 when mobile phone is moved in one's ear
And/or backlight.As a kind of motion sensor, accelerometer sensor can detect (generally three axis) acceleration in all directions
Size, can detect that size and the direction of gravity when static, can be used to identify the application of mobile phone posture, (for example horizontal/vertical screen is cut
Change, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；May be used also as mobile phone
The other sensors such as gyroscope, barometer, hygrometer, thermometer, the infrared sensor of configuration, details are not described herein.
Voicefrequency circuit 460, loudspeaker 461, microphone 462 can provide the audio interface between user and mobile phone.Audio-frequency electric
Electric signal after the audio data received conversion can be transferred to loudspeaker 461, be converted to sound by loudspeaker 461 by road 460
Signal output；On the other hand, the voice signal of collection is converted to electric signal by microphone 462, is turned after being received by voicefrequency circuit 460
It is changed to audio data, then by after the processing of audio data output processor 480, such as another mobile phone is sent to through RF circuit 410,
Or audio data is exported to memory 420 to be further processed.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 470
Part, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 4 is shown
WiFi module 470, but it is understood that, and it is not belonging to must be configured into for mobile phone, it can according to need do not changing completely
Become in the range of the essence of invention and omits.
Processor 480 is the control centre of mobile phone, using the various pieces of various interfaces and connection whole mobile phone, is led to
It crosses operation or executes the software program and/or module being stored in memory 420, and call and be stored in memory 420
Data execute the various functions and processing data of mobile phone, to carry out integral monitoring to mobile phone.Optionally, processor 480 can wrap
Include one or more processing units；Preferably, processor 480 can integrate application processor and modem processor, wherein answer
With the main processing operation system of processor, user interface and application program etc., modem processor mainly handles wireless communication.
It is understood that above-mentioned modem processor can not also be integrated into processor 480.
Mobile phone further includes the power supply 490 (such as battery) powered to all parts, it is preferred that power supply can pass through power supply pipe
Reason system and processor 480 are logically contiguous, to realize management charging, electric discharge and power managed by power-supply management system
Etc. functions.
Although being not shown, mobile phone can also include camera, bluetooth module etc., and details are not described herein.
In embodiments of the present invention, processor 480 included by the terminal also has control execution is above to be executed by terminal
Image fuzzy processing method process.
In addition it should be noted that, the apparatus embodiments described above are merely exemplary, wherein described as separation
The unit of part description may or may not be physically separated, component shown as a unit can be or
It can not be physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to reality
Border needs to select some or all of the modules therein to achieve the purpose of the solution of this embodiment.In addition, provided by the invention
In Installation practice attached drawing, the connection relationship between module indicates there is communication connection between them, specifically can be implemented as one
Item or a plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can
It understands and implements.
Through the above description of the embodiments, it is apparent to those skilled in the art that the present invention can borrow
Help software that the mode of required common hardware is added to realize, naturally it is also possible to by specialized hardware include specific integrated circuit, specially
It is realized with CPU, private memory, special components and parts etc..Under normal circumstances, all functions of being completed by computer program are ok
It is easily realized with corresponding hardware, moreover, being used to realize that the specific hardware structure of same function is also possible to a variety of more
Sample, such as analog circuit, digital circuit or special circuit etc..But software program is real in situations more for the purpose of the present invention
It is now more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words makes the prior art
The part of contribution can be embodied in the form of software products, which is stored in the storage medium that can be read
In, such as the floppy disk of computer, USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory
Device (RAM, Random Access Memory), magnetic or disk etc., including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) executes method described in each embodiment of the present invention.
In conclusion the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to upper
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to upper
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (11)
1. a kind of image fuzzy processing method characterized by comprising
Original image is cut, at least two subgraphs after generating cutting；
Image Fuzzy Processing is carried out at least two subgraphs after the cutting, respectively obtains the mould corresponding to each subgraph
Paste effect picture；
Show and described correspond to each subgraph according to carrying out cutting to the original image and generate the sequence of each subgraph
Blur effect figure；
At least two subgraphs to after the cutting carry out image Fuzzy Processing, respectively obtain corresponding to each subgraph
Blur effect figure, comprising:
The carry out Gaussian Blur processing parallel at least two subgraphs after the cutting；
If having there is subgraph to generate Gaussian Blur effect picture, the subgraph for not yet generating Gaussian Blur effect picture is drawn
Stretching processing, perhaps superposition processing generates the fuzzy effect picture of stretching or is superimposed fuzzy effect picture；
It is described according to the original image carry out cutting generate each subgraph sequence show it is described corresponding to each subgraph
The blur effect figure of picture, comprising:
Show and described correspond to each subgraph according to carrying out cutting to the original image and generate the sequence of each subgraph
Gaussian Blur effect picture stretches fuzzy effect picture or is superimposed fuzzy effect picture.
2. the method according to claim 1, wherein described cut original image, after being cut
At least two subgraphs, comprising:
According to convolution matrix instruction ordinal relation the original image is successively cut, and save cutting after generate to
Few two subgraphs.
3. according to the method described in claim 2, it is characterized in that, the ordinal relation according to convolution matrix instruction is to described
Original image is successively cut, comprising:
The original image is cut into multiple sons with the matrix size same number according to the matrix size of convolution matrix
Image；
The multiple subgraph is numbered respectively according to the position inteerelated order of each element in convolution matrix.
4. according to the method in any one of claims 1 to 3, which is characterized in that at least two to after the cutting
A subgraph carries out image Fuzzy Processing, respectively obtains the blur effect figure corresponding to each subgraph, comprising:
The carry out Gaussian Blur processing parallel at least two subgraphs after the cutting, respectively obtains corresponding to each subgraph
The Gaussian Blur effect picture of picture；
It is described according to the original image carry out cutting generate each subgraph sequence show it is described corresponding to each subgraph
The blur effect figure of picture, comprising:
Show and described correspond to each subgraph according to carrying out cutting to the original image and generate the sequence of each subgraph
Gaussian Blur effect picture.
5. according to the method in any one of claims 1 to 3, which is characterized in that at least two subgraphs after the cutting
Picture, comprising: the first subgraph and the second subgraph；
At least two subgraphs to after the cutting carry out image Fuzzy Processing, respectively obtain corresponding to each subgraph
Blur effect figure, comprising:
Gaussian Blur processing is carried out to first subgraph, obtains the Gaussian Blur effect corresponding to first subgraph
Figure；
Stretch processing or superposition processing are carried out to second subgraph, obtain the stretching die corresponding to second subgraph
It pastes effect picture or is superimposed fuzzy effect picture；
It is described according to the original image carry out cutting generate each subgraph sequence show it is described corresponding to each subgraph
The blur effect figure of picture, comprising:
It is shown according to the sequence for carrying out each subgraph of cutting generation to the original image described corresponding to first subgraph
The Gaussian Blur effect picture of picture, and the fuzzy effect picture of stretching or the fuzzy effect picture of superposition corresponding to second subgraph.
6. a kind of image Fuzzy Processing device characterized by comprising
Cutting module, for being cut to original image, at least two subgraphs after generating cutting；
Fuzzy Processing module respectively obtains pair for carrying out image Fuzzy Processing at least two subgraphs after the cutting
It should be in the blur effect figure of each subgraph；
Display module, for according to the original image carry out cutting generate each subgraph sequence show described in correspond to
The blur effect figure of each subgraph；
The Fuzzy Processing module, comprising:
First processing submodule, for the carry out Gaussian Blur processing parallel at least two subgraphs after the cutting；
Second processing submodule, if for having there is subgraph to generate Gaussian Blur effect picture, to not yet generation Gaussian Blur
The subgraph of effect picture carries out stretch processing, and perhaps superposition processing generates the fuzzy effect picture of stretching or is superimposed fuzzy effect picture；
The display module, specifically for carrying out the sequence display institute that cutting generates each subgraph according to the original image
It states the Gaussian Blur effect picture corresponding to each subgraph or stretches fuzzy effect picture or be superimposed fuzzy effect picture.
7. device according to claim 6, which is characterized in that the cutting module, specifically for referring to according to convolution matrix
The ordinal relation shown successively cuts the original image, and saves at least two subgraphs generated after cutting.
8. device according to claim 7, which is characterized in that the cutting module, comprising:
Submodule is cut, for being cut into the original image and the matrix size phase according to the matrix size of convolution matrix
With multiple subgraphs of number；
Number submodule, for being compiled respectively according to the position inteerelated order of each element in convolution matrix to the multiple subgraph
Number.
9. the device according to any one of claim 6 to 8, which is characterized in that the Fuzzy Processing module is specifically used for
The carry out Gaussian Blur processing parallel at least two subgraphs after the cutting, respectively obtains corresponding to each subgraph
Gaussian Blur effect picture；
The display module, specifically for carrying out the sequence display institute that cutting generates each subgraph according to the original image
State the Gaussian Blur effect picture corresponding to each subgraph.
10. the device according to any one of claim 6 to 8, which is characterized in that at least two subgraphs after the cutting
Picture, comprising: the first subgraph and the second subgraph；
The Fuzzy Processing module, comprising:
Third handles submodule, for carrying out Gaussian Blur processing to first subgraph, obtains corresponding to first son
The Gaussian Blur effect picture of image；
Fourth process submodule obtains corresponding to institute for carrying out stretch processing or superposition processing to second subgraph
The stretching for stating the second subgraph obscures effect picture or is superimposed fuzzy effect picture；
The display module, specifically for carrying out the sequence display institute that cutting generates each subgraph according to the original image
State the Gaussian Blur effect picture corresponding to first subgraph, and the stretching blur effect corresponding to second subgraph
Figure or the fuzzy effect picture of superposition.
11. a kind of memory, which is characterized in that be stored with computer executable instructions in the memory, the computer can
It executes instruction when being loaded and executed by processor, realizes as above image Fuzzy Processing side described in any one of claim 1 to 5
Method.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101350098A (en) * | 2008-08-19 | 2009-01-21 | 黄建军 | Method, system and equipment for processing image |
| CN101487694A (en) * | 2009-03-03 | 2009-07-22 | 北京微视新纪元科技有限公司 | Method and apparatus for processing image |
| CN103810702A (en) * | 2014-01-17 | 2014-05-21 | 浙江大学 | Blocking noise variance estimation based image accumulation signal to noise ratio calculation method |
| CN103914861A (en) * | 2013-01-08 | 2014-07-09 | 腾讯科技（武汉）有限公司 | Picture processing method and device |
| CN104134198A (en) * | 2014-07-28 | 2014-11-05 | 厦门美图之家科技有限公司 | Method for carrying out local processing on image |
| CN104200459A (en) * | 2014-08-04 | 2014-12-10 | 联想(北京)有限公司 | Information processing method and electronic device |
-
2015
- 2015-03-02 CN CN201510092763.8A patent/CN105989575B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101350098A (en) * | 2008-08-19 | 2009-01-21 | 黄建军 | Method, system and equipment for processing image |
| CN101487694A (en) * | 2009-03-03 | 2009-07-22 | 北京微视新纪元科技有限公司 | Method and apparatus for processing image |
| CN103914861A (en) * | 2013-01-08 | 2014-07-09 | 腾讯科技（武汉）有限公司 | Picture processing method and device |
| CN103810702A (en) * | 2014-01-17 | 2014-05-21 | 浙江大学 | Blocking noise variance estimation based image accumulation signal to noise ratio calculation method |
| CN104134198A (en) * | 2014-07-28 | 2014-11-05 | 厦门美图之家科技有限公司 | Method for carrying out local processing on image |
| CN104200459A (en) * | 2014-08-04 | 2014-12-10 | 联想(北京)有限公司 | Information processing method and electronic device |
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