CN105825490A - Gaussian blur method and device of image - Google Patents

Gaussian blur method and device of image Download PDF

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Publication number
CN105825490A
CN105825490A CN201610151094.1A CN201610151094A CN105825490A CN 105825490 A CN105825490 A CN 105825490A CN 201610151094 A CN201610151094 A CN 201610151094A CN 105825490 A CN105825490 A CN 105825490A
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Prior art keywords
gaussian blur
picture material
image
default
superposition
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孙恒
赵雄
梁善桂
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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Priority to CN201610151094.1A priority Critical patent/CN105825490A/en
Publication of CN105825490A publication Critical patent/CN105825490A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Studio Devices (AREA)
  • Image Processing (AREA)

Abstract

The invention relates to a Gaussian blur method and device of an image. The method comprises that preset Gaussian blur image materials are obtained; an original image is added to the preset Gaussian blur image materials to obtain a superposed image; and the superposed image is determined to a target image with a Gaussian blur effect. Compared with a present Gaussian blur method in which convolution is carried out on the image and Gaussian distribution, the method of the invention reduces the computing complexity by times while realizing the Gaussian blur effect, a the power consumption of a terminal is reduced, and the method and device are in real time.

Description

The Gaussian Blur method and device of image
Technical field
It relates to technical field of image processing, particularly relate to the Gaussian Blur method and device of a kind of image.
Background technology
Gaussian Blur effect can be applicable to multiple field, including: the Gaussian Blur Filter effect in image blurring, image procossing in real-time video call and the video encoding complexity method for simplifying etc. that combines Gaussian Blur effect.In these areas, by Gaussian Blur effect, beautifying picture can be realized, reduce the effect such as video encoding complexity and bit rate.
Summary of the invention
Disclosure embodiment provides the Gaussian Blur method and device of a kind of image.Described technical scheme is as follows:
First aspect according to disclosure embodiment, it is provided that a kind of Gaussian Blur method of image, including:
Obtain and preset Gaussian Blur picture material;
Original image is overlapped with described default Gaussian Blur picture material, it is thus achieved that the image after superposition;
Determine that the image after described superposition is the target image with Gaussian Blur effect.
Embodiment of the disclosure that the technical scheme of offer can include following beneficial effect:
Technique scheme, the target image of Gaussian Blur effect can be had by being overlapped original image and default Gaussian Blur picture material obtaining, for the existing Gaussian Blur method by image and Gauss distribution being made convolutional calculation, this technical scheme is while realizing Gaussian Blur effect, reduce computation complexity exponentially, thus reduce the power consumption of terminal, and there is real-time.
In one embodiment, described original image is overlapped with described default Gaussian Blur picture material, including:
Determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material;
According to described each self-corresponding superposition weight, the value of pixel corresponding with described default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition.
In this embodiment, it is weighted superposition by the value of the pixel that the value of each pixel of original image is corresponding with default Gaussian Blur picture material to obtain there is the target image of Gaussian Blur effect, make original image to be made when Gaussian Blur processes without carrying out the convolution algorithm of complexity again, thus reduce computation complexity exponentially, reduce the power consumption of terminal, and there is real-time.
In one embodiment, described determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material, including:
Determine the transparence value of described default Gaussian Blur picture material;
The transparence value of described default Gaussian Blur picture material is defined as the superposition weight of described default Gaussian Blur picture material;
Superposition weight according to described default Gaussian Blur picture material determine the superposition weight of described original image, the superposition weight of described default Gaussian Blur picture material and the superposition weight of described original image and equal to 1.
In this embodiment, by the transparence value of default Gaussian Blur picture material is defined as its superposition weight, the determination making the superposition weight of original image and default Gaussian Blur picture material is the easiest accurately, so that the Gaussian Blur effect of target image dynamically can adjust with the transparence value of default Gaussian Blur picture material.
In one embodiment, the described transparence value determining described default Gaussian Blur picture material, including:
Receive user the selection of the default transparency options of described default Gaussian Blur picture material is operated;
According to the described transparency options selecting operation corresponding, determine the transparence value of described default Gaussian Blur picture material.
In this embodiment, operation can be selected to determine the transparence value of default Gaussian Blur picture material default transparency options according to user, and then determine the superposition weight of default Gaussian Blur picture material, make the superposition weight presetting Gaussian Blur picture material can make dynamically adjustment according to the selection of user, so that the Gaussian Blur effect of target image more can meet the demand of user, improve the Experience Degree of user.
In one embodiment, described default Gaussian Blur picture material includes presetting transparency bar;The described transparence value determining described default Gaussian Blur picture material, including:
Receive user's slide to the slide block on described default transparency bar;
The position that described slide block is slid to is determined according to described slide;
According to the corresponding relation between described slide block position and transparence value on described default transparency bar, determine the transparence value that position that described slide block is slid to is corresponding, as the transparence value of described default Gaussian Blur picture material.
In this embodiment, according to user, the slide of the slide block on default transparency bar can be determined the transparence value of default Gaussian Blur picture material, and then determine the superposition weight of default Gaussian Blur picture material, make the superposition weight presetting Gaussian Blur picture material can make dynamically adjustment according to the selection of user, so that the Gaussian Blur effect of target image more can meet the demand of user, improve the Experience Degree of user.
In one embodiment, Gaussian Blur picture material is preset in described acquisition, including:
Receive the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment;
Pre-set image after described assignment is defined as described default Gaussian Blur picture material.
In this embodiment, according to user, pixel each in pre-set image can be carried out three primary colors assignment and obtain default Gaussian Blur picture material, make to preset the simpler convenience of acquisition of Gaussian Blur picture material, thus simplify the complexity that image is carried out Gaussian Blur process, reduce the power consumption of terminal, and there is real-time.
In one embodiment, Gaussian Blur picture material is preset in described acquisition, including:
By the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process, it is thus achieved that described default Gaussian Blur picture material.
In this embodiment, by the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process and obtain default Gaussian Blur picture material, make to preset the simpler convenience of acquisition of Gaussian Blur picture material, thus simplify the complexity that image is carried out Gaussian Blur process, reduce the power consumption of terminal, and there is real-time.
Second aspect according to disclosure embodiment, it is provided that the Gaussian Blur device of a kind of image, including:
Acquisition module, is used for obtaining default Gaussian Blur picture material;
Laminating module, is overlapped for default Gaussian Blur picture material original image and described acquisition module obtained, it is thus achieved that the image after superposition;
Determining module, the image after determining described laminating module superposition is the target image with Gaussian Blur effect.
In one embodiment, described laminating module includes:
First determines submodule, is used for determining described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material;
Superposition submodule, for determining, according to described first, each self-corresponding superposition weight that submodule determines, is weighted superposition by the value of pixel corresponding with described default Gaussian Blur picture material for the value of each pixel of original image.
In one embodiment, described first determines submodule, for determining the transparence value of described default Gaussian Blur picture material;The transparence value of described default Gaussian Blur picture material is defined as the superposition weight of described default Gaussian Blur picture material;Superposition weight according to described default Gaussian Blur picture material determine the superposition weight of described original image, the superposition weight of described default Gaussian Blur picture material and the superposition weight of described original image and equal to 1.
In one embodiment, described first determines submodule, operates the selection of the default transparency options of described default Gaussian Blur picture material for receiving user;According to the described transparency options selecting operation corresponding, determine the transparence value of described default Gaussian Blur picture material.
In one embodiment, described first determines submodule, when described default Gaussian Blur picture material includes presetting transparency bar, receives user's slide to the slide block on described default transparency bar;The position that described slide block is slid to is determined according to described slide;According to the corresponding relation between described slide block position and transparence value on described default transparency bar, determine the transparence value that position that described slide block is slid to is corresponding, as the transparence value of described default Gaussian Blur picture material.
In one embodiment, described acquisition module includes:
Receive submodule, for receiving the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment;
Second determines submodule, and the pre-set image after the acquisition assignment obtained by described reception submodule is defined as described default Gaussian Blur picture material.
In one embodiment, described acquisition module includes:
Process submodule, for pre-set image being carried out Gaussian Blur process by the Gaussian Blur function in default application program, it is thus achieved that described default Gaussian Blur picture material.
The third aspect according to disclosure embodiment, it is provided that the Gaussian Blur device of a kind of image, including:
Processor;
For storing the memorizer of processor executable;
Wherein, described processor is configured to:
Obtain and preset Gaussian Blur picture material;
Original image is overlapped with described default Gaussian Blur picture material, it is thus achieved that the image after superposition;
Determine that the image after described superposition is the target image with Gaussian Blur effect.
It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe, the disclosure can not be limited.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meets and embodiment of the disclosure, and for explaining the principle of the disclosure together with description.
Fig. 1 is the flow chart of the Gaussian Blur method according to a kind of image shown in an exemplary embodiment.
Fig. 2 is the flow chart of step S12 in the Gaussian Blur method according to a kind of image shown in an exemplary embodiment.
Fig. 3 is the flow chart of step S21 in the Gaussian Blur method according to a kind of image shown in an exemplary embodiment.
Fig. 4 is the flow chart of step S31 in the Gaussian Blur method according to a kind of image shown in an exemplary embodiment.
Fig. 5 is the flow chart of step S31 in the Gaussian Blur method according to a kind of image shown in an exemplary embodiment.
Fig. 6 is the flow chart of step S11 in the Gaussian Blur method according to a kind of image shown in an exemplary embodiment.
Fig. 7 is the block diagram of the Gaussian Blur device according to a kind of image shown in an exemplary embodiment.
Fig. 8 is the block diagram of laminating module in the Gaussian Blur device according to a kind of image shown in an exemplary embodiment.
Fig. 9 is the block diagram of acquisition module in the Gaussian Blur device according to a kind of image shown in an exemplary embodiment.
Figure 10 is the block diagram of acquisition module in the Gaussian Blur device according to a kind of image shown in an exemplary embodiment.
Figure 11 is the block diagram of the device according to a kind of Gaussian Blur being applicable to image shown in an exemplary embodiment.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.When explained below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with describe in detail in appended claims, the disclosure some in terms of the example of consistent apparatus and method.
Fig. 1 is the flow chart of the Gaussian Blur method according to a kind of image shown in an exemplary embodiment, the Gaussian Blur method of this image is in terminal, wherein, terminal can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, armarium, body-building equipment, personal digital assistant etc..As it is shown in figure 1, the method comprises the following steps S11-S13.
In step s 11, default Gaussian Blur picture material is obtained.
Wherein, presetting Gaussian Blur picture material can be any picture with Gaussian Blur effect, certainly, for simplicity, can be selected for the most single picture with Gaussian Blur effect of color as default Gaussian Blur picture material.User can utilize existing Gaussian Blur fabrication techniques to go out to have the picture of Gaussian Blur effect, and as presetting Gaussian Blur picture material, existing a lot of graphics software all has Gaussian Blur function, utilizes this function, and user can produce default Gaussian Blur picture material easily.Or, user can also select oneself satisfied picture materials, and carry out RGB assignment with reference to having RGB (three primary colors) value of picture of the Gaussian Blur effect picture to selecting, so, picture after assignment just has Gaussian Blur effect, can be as default Gaussian Blur picture material.
In step s 12, original image is overlapped with default Gaussian Blur picture material, it is thus achieved that the image after superposition.
In step s 13, determine that the image after superposition is the target image with Gaussian Blur effect.
Use the technical scheme that disclosure embodiment provides, the target image of Gaussian Blur effect can be had by being overlapped original image and default Gaussian Blur picture material obtaining, for the existing Gaussian Blur method by image and Gauss distribution being made convolutional calculation, this technical scheme is while realizing Gaussian Blur effect, reduce computation complexity exponentially, thus reduce the power consumption of terminal, and there is real-time.
In one embodiment, as in figure 2 it is shown, step S12 can be embodied as following steps S21-S22.
In the step s 21, original image and each self-corresponding superposition weight of default Gaussian Blur picture material are determined.
In step S22, according to each self-corresponding superposition weight, the value of pixel corresponding with default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition.
For example, the superposition weight that original image is corresponding is X, the superposition weight presetting Gaussian Blur picture material corresponding is Y, for certain pixel that the value in original image is m, the value of the pixel that this pixel is corresponding with default Gaussian Blur picture material is n, then the value of the pixel after the two weighted superposition is mX+nY.
In this embodiment, it is weighted superposition by the value of the pixel that the value of each pixel of original image is corresponding with default Gaussian Blur picture material to obtain there is the target image of Gaussian Blur effect, make original image to be made when Gaussian Blur processes without carrying out the convolution algorithm of complexity again, thus reduce computation complexity exponentially, reduce the power consumption of terminal, and there is real-time.
In one embodiment, when performing step S21, as it is shown on figure 3, original image and each self-corresponding superposition weight of default Gaussian Blur picture material can be determined S31-S33 in accordance with the following steps.
In step S31, determine the transparence value of default Gaussian Blur picture material.
In step s 32, the transparence value of default Gaussian Blur picture material is defined as presetting the superposition weight of Gaussian Blur picture material.
In step S33, determine the superposition weight of original image according to the superposition weight of default Gaussian Blur picture material, preset the superposition weight of Gaussian Blur picture material and original image superposition weight and equal to 1.
In this step, due to the superposition weight of default Gaussian Blur picture material and original image superposition weight and equal to 1, therefore when the superposition weight of default Gaussian Blur picture material is Y (0≤Y≤1), superposition weight X of original image is then 1-Y.
In this embodiment, by the transparence value of default Gaussian Blur picture material is defined as its superposition weight, the determination making the superposition weight of original image and default Gaussian Blur picture material is the easiest accurately, so that the Gaussian Blur effect of target image dynamically can adjust with the transparence value of default Gaussian Blur picture material.
In above-described embodiment, when performing step S31, any one or more in A1-A3 can determine the transparence value of default Gaussian Blur picture material in the following manner.
Mode A1, all comprising Alpha passage (i.e. alpha channel) due to each image, Alpha passage refers to the transparent of a pictures and translucence.Therefore, i.e. can determine that its transparence value according to the Alpha passage of default Gaussian Blur picture material.Transparence value is between the scope of 0 to 1, and transparence value is the biggest, represents that image is the opaquest.Transparence value is to represent that image is fully transparent when 0, and transparence value is to represent that image is the opaquest when 1.
Mode A2, determined the transparence value of default Gaussian Blur picture material by step S41-S42 as shown in Figure 4.
In step S41, receive user and the selection of the default transparency options of default Gaussian Blur picture material is operated.
In step S42, according to selecting to operate the transparency options of correspondence, determine the transparence value of default Gaussian Blur picture material.
During employing mode A2, the default transparency options presetting Gaussian Blur picture material is included on terminal interface, the number presetting transparency options can be configured as required, such as include 11 default transparency options, the most corresponding following 11 transparence values of these 11 default transparency options: 0,10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%.The number presetting transparency options is the most, and user is the finest for the selection of transparence value.
Mode A3, determined the transparence value of default Gaussian Blur picture material by step S51-S53 as shown in Figure 5.
In step s 51, user's slide to the slide block on default transparency bar is received.
In step S52, determine, according to slide, the position that slide block is slid to.
In step S53, according to the corresponding relation between slide block position and transparence value on default transparency bar, determine the transparence value that position that slide block is slid to is corresponding, as the transparence value of default Gaussian Blur picture material.
During employing mode A3, presetting the most corresponding transparence value 0 in two ends and the transparency 100% of transparency bar, user can carry out slide to the slide block on default transparency bar, i.e. select between transparence value 0 and transparency 100%.
It can be seen that for compared to aforesaid way A2, which A3 makes user more fine to the selection of the transparence value of default Gaussian Blur picture material, selects more accurately so that user has in the degree that original image carries out Gaussian Blur.
Above-mentioned several ways make to preset the determination of the transparence value of Gaussian Blur picture material more accurately, fine, hommization, and the superposition weight presetting Gaussian Blur picture material can be enable to make dynamically adjustment according to the selection of user, so that the Gaussian Blur effect of target image more can meet the demand of user, improve the Experience Degree of user.
In one embodiment, when performing step S11, any one or more in B1-B2 can obtain default Gaussian Blur picture material in the following ways.
Mode B1, employing step S61-S62 as shown in Figure 6 obtain default Gaussian Blur picture material.
In step S61, receive the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment.
Wherein, user can be according to having the picture of Gaussian Blur effect to determine default tristimulus values.After pre-set image is carried out the assignment operation of three primary colors assignment, will have Gaussian Blur effect, therefore, the pre-set image after being assigned can be as default Gaussian Blur picture material.
In step S62, it is defined as the pre-set image after assignment presetting Gaussian Blur picture material.
Use which B1, according to user, pixel each in pre-set image can be carried out three primary colors assignment and obtain default Gaussian Blur picture material, make to preset the simpler convenience of acquisition of Gaussian Blur picture material, thus simplify the complexity that image is carried out Gaussian Blur process, reduce the power consumption of terminal, and there is real-time.
Mode B2, by the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process, it is thus achieved that preset Gaussian Blur picture material.
Wherein, default application program can be the image procossing application program with Gaussian Blur function.
Use which B2, by the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process and obtain default Gaussian Blur picture material, make to preset the simpler convenience of acquisition of Gaussian Blur picture material, thus simplify the complexity that image is carried out Gaussian Blur process, reduce the power consumption of terminal, and there is real-time.
Following for disclosure device embodiment, may be used for performing method of disclosure embodiment.
Fig. 7 is the block diagram of the Gaussian Blur device according to a kind of image shown in an exemplary embodiment, this device can pass through software, hardware or both be implemented in combination with become the some or all of of electronic equipment.With reference to Fig. 7, the Gaussian Blur device of this image includes acquisition module 71, laminating module 72 and determines module 73;Wherein:
Acquisition module 71 is configured to obtain default Gaussian Blur picture material.
The default Gaussian Blur picture material that laminating module 72 is configured to obtain original image and acquisition module 71 is overlapped, it is thus achieved that the image after superposition.
Determine module 73 be configured to determine that laminating module 72 superposition after image be the target image with Gaussian Blur effect.
Use the device that disclosure embodiment provides, original image and default Gaussian Blur picture material can be overlapped obtaining by laminating module 72 target image with Gaussian Blur effect, for the existing Gaussian Blur method by image and Gauss distribution being made convolutional calculation, this technical scheme is while realizing Gaussian Blur effect, reduce computation complexity exponentially, thus reduce the power consumption of terminal, and there is real-time.
In one embodiment, as shown in Figure 8, laminating module 72 includes that first determines submodule 721 and superposition submodule 722;Wherein:
First determines that submodule 721 is configured to determine that original image and each self-corresponding superposition weight of default Gaussian Blur picture material.
Superposition submodule 722 is configured to determine, according to first, each self-corresponding superposition weight that submodule 721 determines, the value of pixel corresponding with default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition.
For example, the superposition weight that original image is corresponding is X, the superposition weight presetting Gaussian Blur picture material corresponding is Y, for certain pixel that the value in original image is m, the value of the pixel that this pixel is corresponding with default Gaussian Blur picture material is n, then the value of the pixel after the two weighted superposition is mX+nY by superposition submodule 722.
In this embodiment, by superposition submodule 722, the value of pixel corresponding with default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition to obtain there is the target image of Gaussian Blur effect, make original image to be made when Gaussian Blur processes without carrying out the convolution algorithm of complexity again, thus reduce computation complexity exponentially, reduce the power consumption of terminal, and there is real-time.
In one embodiment, first determines that submodule 721 is configured to determine that the transparence value of default Gaussian Blur picture material;The transparence value of default Gaussian Blur picture material is defined as presetting the superposition weight of Gaussian Blur picture material;Superposition weight according to default Gaussian Blur picture material determines the superposition weight of original image, preset the superposition weight of Gaussian Blur picture material and original image superposition weight and equal to 1.
In this step, due to the superposition weight of default Gaussian Blur picture material and original image superposition weight and equal to 1, therefore, when first determines that submodule 721 determines that the superposition weight of default Gaussian Blur picture material is Y (0≤Y≤1), determine that superposition weight X of original image is 1-Y.
In this embodiment, determine that the transparence value of default Gaussian Blur picture material is defined as its superposition weight by submodule 721 by first, the determination making the superposition weight of original image and default Gaussian Blur picture material is the easiest accurately, so that the Gaussian Blur effect of target image dynamically can adjust with the transparence value of default Gaussian Blur picture material.
In one embodiment, first determines that submodule 721 is configured to receive user and operates the selection of the default transparency options of default Gaussian Blur picture material;According to selecting to operate the transparency options of correspondence, determine the transparence value of default Gaussian Blur picture material.
In this embodiment, the default transparency options presetting Gaussian Blur picture material is included on terminal interface, the number presetting transparency options can be configured as required, such as include 11 default transparency options, the most corresponding following 11 transparence values of these 11 default transparency options: 0,10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%.The number presetting transparency options is the most, and user is the finest for the selection of transparence value.
In this embodiment, first determines that default transparency options can be selected operation to determine the transparence value of default Gaussian Blur picture material according to user by submodule 721, and then determine the superposition weight of default Gaussian Blur picture material, make the superposition weight presetting Gaussian Blur picture material can make dynamically adjustment according to the selection of user, so that the Gaussian Blur effect of target image more can meet the demand of user, improve the Experience Degree of user.
In one embodiment, first determine submodule 721 be configured to preset Gaussian Blur picture material include preset transparency bar time, receive user's slide to the slide block on default transparency bar;The position that slide block is slid to is determined according to slide;According to the corresponding relation between slide block position and transparence value on default transparency bar, determine the transparence value that position that slide block is slid to is corresponding, as the transparence value of default Gaussian Blur picture material.
Presetting the most corresponding transparence value 0 in two ends and the transparency 100% of transparency bar, user can carry out slide to the slide block on default transparency bar, i.e. select between transparence value 0 and transparency 100%.
In this embodiment, first determines that submodule 721 can determine the transparence value of default Gaussian Blur picture material according to user to the slide of the slide block on default transparency bar, and then determine the superposition weight of default Gaussian Blur picture material, make the superposition weight presetting Gaussian Blur picture material can make dynamically adjustment according to the selection of user, so that the Gaussian Blur effect of target image more can meet the demand of user, improve the Experience Degree of user.
In one embodiment, as it is shown in figure 9, acquisition module 71 includes that receiving submodule 711 and second determines submodule 712;Wherein:
Receive submodule 711 to be configured to receive the assignment operation that each pixel in pre-set image carries out three primary colors assignment according to default tristimulus values, it is thus achieved that the pre-set image after assignment.
Wherein, user can be according to having the picture of Gaussian Blur effect to determine default tristimulus values.After pre-set image is carried out the assignment operation of three primary colors assignment, will have Gaussian Blur effect, therefore, the pre-set image after being assigned can be as default Gaussian Blur picture material.
Second determines that submodule 712 is configured to the pre-set image after receiving the acquisition assignment that submodule 711 obtains and is defined as presetting Gaussian Blur picture material.
In this embodiment, second determines that submodule 712 can carry out three primary colors assignment according to user to pixel each in pre-set image and obtain default Gaussian Blur picture material, make to preset the simpler convenience of acquisition of Gaussian Blur picture material, thus simplify the complexity that image is carried out Gaussian Blur process, reduce the power consumption of terminal, and there is real-time.
In one embodiment, as shown in Figure 10, acquisition module 71 includes processing submodule 713, and the Gaussian Blur function that this process submodule 713 is configured to preset in application program carries out Gaussian Blur process to pre-set image, it is thus achieved that preset Gaussian Blur picture material.
In this embodiment, process submodule 713 carries out Gaussian Blur process by the Gaussian Blur function in default application program to pre-set image and obtains default Gaussian Blur picture material, make to preset the simpler convenience of acquisition of Gaussian Blur picture material, thus simplify the complexity that image is carried out Gaussian Blur process, reduce the power consumption of terminal, and there is real-time.
In the exemplary embodiment, it is provided that the Gaussian Blur device of a kind of image, including:
Processor;
For storing the memorizer of processor executable;
Wherein, processor is configured to:
Obtain and preset Gaussian Blur picture material;
Original image is overlapped with described default Gaussian Blur picture material, it is thus achieved that the image after superposition;
Determine that the image after described superposition is the target image with Gaussian Blur effect.
Above-mentioned processor is also configured to:
Described original image is overlapped with described default Gaussian Blur picture material, including:
Determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material;
According to described each self-corresponding superposition weight, the value of pixel corresponding with described default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition.
Above-mentioned processor is also configured to:
Described determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material, including:
Determine the transparence value of described default Gaussian Blur picture material;
The transparence value of described default Gaussian Blur picture material is defined as the superposition weight of described default Gaussian Blur picture material;
Superposition weight according to described default Gaussian Blur picture material determine the superposition weight of described original image, the superposition weight of described default Gaussian Blur picture material and the superposition weight of described original image and equal to 1.
Above-mentioned processor is also configured to:
The described transparence value determining described default Gaussian Blur picture material, including:
Receive user the selection of the default transparency options of described default Gaussian Blur picture material is operated;
According to the described transparency options selecting operation corresponding, determine the transparence value of described default Gaussian Blur picture material.
Above-mentioned processor is also configured to:
Described default Gaussian Blur picture material includes presetting transparency bar;The described transparence value determining described default Gaussian Blur picture material, including:
Receive user's slide to the slide block on described default transparency bar;
The position that described slide block is slid to is determined according to described slide;
According to the corresponding relation between described slide block position and transparence value on described default transparency bar, determine the transparence value that position that described slide block is slid to is corresponding, as the transparence value of described default Gaussian Blur picture material.
Above-mentioned processor is also configured to:
Gaussian Blur picture material is preset in described acquisition, including:
Receive the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment;
Pre-set image after described assignment is defined as described default Gaussian Blur picture material.
Above-mentioned processor is also configured to:
Gaussian Blur picture material is preset in described acquisition, including:
By the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process, it is thus achieved that described default Gaussian Blur picture material.
About the device in above-described embodiment, the concrete mode that wherein modules performs to operate has been described in detail in about the embodiment of the method, and explanation will be not set forth in detail herein.
Figure 11 is the block diagram of the device according to a kind of Gaussian Blur for image shown in an exemplary embodiment.Such as, device 1200 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, armarium, body-building equipment, personal digital assistant etc..
Device 1200 can include following one or more assembly: processes assembly 1202, memorizer 1204, power supply module 1206, multimedia groupware 1208, audio-frequency assembly 1210, the interface 1212 of input/output (I/O), sensor cluster 1214, and communications component 1216.
Process assembly 1202 and generally control the operation that the integrated operation of device 1200, such as with display, call, data communication, camera operation and record operation are associated.Process assembly 1202 and can include that one or more processor 1220 performs instruction, to complete all or part of step of above-mentioned method.Additionally, process assembly 1202 can include one or more module, it is simple to process between assembly 1202 and other assemblies is mutual.Such as, process assembly 1202 and can include multi-media module, with facilitate multimedia groupware 1208 and process between assembly 1202 mutual.
Memorizer 1204 is configured to store various types of data to support the operation at equipment 1200.The example of these data includes any application program for operation on device 1200 or the instruction of method, contact data, telephone book data, message, picture, video etc..Memorizer 1204 can be realized by any kind of volatibility or non-volatile memory device or combinations thereof, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, disk or CD.
The various assemblies that power supply module 1206 is device 1200 provide electric power.Power supply module 1206 can include power-supply management system, one or more power supplys, and other generate, manage and distribute, with for device 1200, the assembly that electric power is associated.
The screen of one output interface of offer that multimedia groupware 1208 is included between described device 1200 and user.In certain embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes that touch panel, screen may be implemented as touch screen, to receive the input signal from user.Touch panel includes that one or more touch sensor is with the gesture on sensing touch, slip and touch panel.Described touch sensor can not only sense touch or the border of sliding action, but also detects the persistent period relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1208 includes a front-facing camera and/or post-positioned pick-up head.When equipment 1200 is in operator scheme, during such as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive the multi-medium data of outside.Each front-facing camera and post-positioned pick-up head can be a fixing optical lens system or have focal length and optical zoom ability.
Audio-frequency assembly 1210 is configured to output and/or input audio signal.Such as, audio-frequency assembly 1210 includes a mike (MIC), and when device 1200 is in operator scheme, during such as call model, logging mode and speech recognition mode, mike is configured to receive external audio signal.The audio signal received can be further stored at memorizer 1204 or send via communications component 1216.In certain embodiments, audio-frequency assembly 1210 also includes a speaker, is used for exporting audio signal.
I/O interface 1212 provides interface for processing between assembly 1202 and peripheral interface module, above-mentioned peripheral interface module can be keyboard, puts striking wheel, button etc..These buttons may include but be not limited to: home button, volume button, start button and locking press button.
Sensor cluster 1214 includes one or more sensor, for providing the state estimation of various aspects for device 1200.Such as, what sensor cluster 1214 can detect equipment 1200 opens/closed mode, the relative localization of assembly, the most described assembly is display and the keypad of device 1200, sensor cluster 1214 can also detect device 1200 or the position change of 1,200 1 assemblies of device, the presence or absence that user contacts with device 1200, device 1200 orientation or acceleration/deceleration and the variations in temperature of device 1200.Sensor cluster 1214 can include proximity transducer, is configured to when not having any physical contact object near detecting.Sensor cluster 1214 can also include optical sensor, such as CMOS or ccd image sensor, is used for using in imaging applications.In certain embodiments, this sensor cluster 1214 can also include acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1216 is configured to facilitate the communication of wired or wireless mode between device 1200 and other equipment.Device 1200 can access wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In one exemplary embodiment, communications component 1216 receives the broadcast singal from external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 1216 also includes near-field communication (NFC) module, to promote junction service.Such as, can be based on RF identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 1200 can be realized by one or more application specific integrated circuits (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components, is used for performing said method.
In the exemplary embodiment, additionally providing a kind of non-transitory computer-readable recording medium including instruction, such as, include the memorizer 1204 of instruction, above-mentioned instruction can have been performed said method by the processor 1220 of device 1200.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of device 1200 so that device 1200 is able to carry out the Gaussian Blur method of above-mentioned image, and described method includes:
Obtain and preset Gaussian Blur picture material;
Original image is overlapped with described default Gaussian Blur picture material, it is thus achieved that the image after superposition;
Determine that the image after described superposition is the target image with Gaussian Blur effect.
Described original image is overlapped with described default Gaussian Blur picture material, including:
Determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material;
According to described each self-corresponding superposition weight, the value of pixel corresponding with described default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition.
Described determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material, including:
Determine the transparence value of described default Gaussian Blur picture material;
The transparence value of described default Gaussian Blur picture material is defined as the superposition weight of described default Gaussian Blur picture material;
Superposition weight according to described default Gaussian Blur picture material determine the superposition weight of described original image, the superposition weight of described default Gaussian Blur picture material and the superposition weight of described original image and equal to 1.
The described transparence value determining described default Gaussian Blur picture material, including:
Receive user the selection of the default transparency options of described default Gaussian Blur picture material is operated;
According to the described transparency options selecting operation corresponding, determine the transparence value of described default Gaussian Blur picture material.
Described default Gaussian Blur picture material includes presetting transparency bar;The described transparence value determining described default Gaussian Blur picture material, including:
Receive user's slide to the slide block on described default transparency bar;
The position that described slide block is slid to is determined according to described slide;
According to the corresponding relation between described slide block position and transparence value on described default transparency bar, determine the transparence value that position that described slide block is slid to is corresponding, as the transparence value of described default Gaussian Blur picture material.
Gaussian Blur picture material is preset in described acquisition, including:
Receive the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment;
Pre-set image after described assignment is defined as described default Gaussian Blur picture material.
Gaussian Blur picture material is preset in described acquisition, including:
By the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process, it is thus achieved that described default Gaussian Blur picture material.
Those skilled in the art, after considering description and putting into practice disclosure herein, will readily occur to other embodiment of the disclosure.The application is intended to any modification, purposes or the adaptations of the disclosure, and these modification, purposes or adaptations are followed the general principle of the disclosure and include the undocumented common knowledge in the art of the disclosure or conventional techniques means.Description and embodiments is considered only as exemplary, and the true scope of the disclosure and spirit are pointed out by claim below.
It should be appreciated that the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and various modifications and changes can carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.

Claims (15)

1. the Gaussian Blur method of an image, it is characterised in that including:
Obtain and preset Gaussian Blur picture material;
Original image is overlapped with described default Gaussian Blur picture material, it is thus achieved that the image after superposition;
Determine that the image after described superposition is the target image with Gaussian Blur effect.
Method the most according to claim 1, it is characterised in that described original image is overlapped with described default Gaussian Blur picture material, including:
Determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material;
According to described each self-corresponding superposition weight, the value of pixel corresponding with described default Gaussian Blur picture material for the value of each pixel of original image is weighted superposition.
Method the most according to claim 2, it is characterised in that described determine described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material, including:
Determine the transparence value of described default Gaussian Blur picture material;
The transparence value of described default Gaussian Blur picture material is defined as the superposition weight of described default Gaussian Blur picture material;
Superposition weight according to described default Gaussian Blur picture material determine the superposition weight of described original image, the superposition weight of described default Gaussian Blur picture material and the superposition weight of described original image and equal to 1.
Method the most according to claim 3, it is characterised in that the described transparence value determining described default Gaussian Blur picture material, including:
Receive user the selection of the default transparency options of described default Gaussian Blur picture material is operated;
According to the described transparency options selecting operation corresponding, determine the transparence value of described default Gaussian Blur picture material.
Method the most according to claim 3, it is characterised in that described default Gaussian Blur picture material includes presetting transparency bar;The described transparence value determining described default Gaussian Blur picture material, including:
Receive user's slide to the slide block on described default transparency bar;
The position that described slide block is slid to is determined according to described slide;
According to the corresponding relation between described slide block position and transparence value on described default transparency bar, determine the transparence value that position that described slide block is slid to is corresponding, as the transparence value of described default Gaussian Blur picture material.
Method the most according to claim 1, it is characterised in that Gaussian Blur picture material is preset in described acquisition, including:
Receive the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment;
Pre-set image after described assignment is defined as described default Gaussian Blur picture material.
Method the most according to claim 1, it is characterised in that Gaussian Blur picture material is preset in described acquisition, including:
By the Gaussian Blur function in default application program, pre-set image is carried out Gaussian Blur process, it is thus achieved that described default Gaussian Blur picture material.
8. the Gaussian Blur device of an image, it is characterised in that including:
Acquisition module, is used for obtaining default Gaussian Blur picture material;
Laminating module, is overlapped for default Gaussian Blur picture material original image and described acquisition module obtained, it is thus achieved that the image after superposition;
Determining module, the image after determining described laminating module superposition is the target image with Gaussian Blur effect.
Device the most according to claim 8, it is characterised in that described laminating module includes:
First determines submodule, is used for determining described original image and each self-corresponding superposition weight of described default Gaussian Blur picture material;
Superposition submodule, for determining, according to described first, each self-corresponding superposition weight that submodule determines, is weighted superposition by the value of pixel corresponding with described default Gaussian Blur picture material for the value of each pixel of original image.
Device the most according to claim 9, it is characterised in that described first determines submodule, for determining the transparence value of described default Gaussian Blur picture material;The transparence value of described default Gaussian Blur picture material is defined as the superposition weight of described default Gaussian Blur picture material;Superposition weight according to described default Gaussian Blur picture material determine the superposition weight of described original image, the superposition weight of described default Gaussian Blur picture material and the superposition weight of described original image and equal to 1.
11. devices according to claim 10, it is characterised in that described first determines submodule, operate the selection of the default transparency options of described default Gaussian Blur picture material for receiving user;According to the described transparency options selecting operation corresponding, determine the transparence value of described default Gaussian Blur picture material.
12. devices according to claim 10, it is characterised in that described first determines submodule, when described default Gaussian Blur picture material includes presetting transparency bar, receive user's slide to the slide block on described default transparency bar;The position that described slide block is slid to is determined according to described slide;According to the corresponding relation between described slide block position and transparence value on described default transparency bar, determine the transparence value that position that described slide block is slid to is corresponding, as the transparence value of described default Gaussian Blur picture material.
13. device according to claim 8, it is characterised in that described acquisition module includes:
Receive submodule, for receiving the assignment operation that according to default tristimulus values, each pixel in pre-set image is carried out three primary colors assignment, it is thus achieved that the pre-set image after assignment;
Second determines submodule, and the pre-set image after the acquisition assignment obtained by described reception submodule is defined as described default Gaussian Blur picture material.
14. devices according to claim 8, it is characterised in that described acquisition module includes:
Process submodule, for pre-set image being carried out Gaussian Blur process by the Gaussian Blur function in default application program, it is thus achieved that described default Gaussian Blur picture material.
The Gaussian Blur device of 15. 1 kinds of images, it is characterised in that including:
Processor;
For storing the memorizer of processor executable;
Wherein, described processor is configured to:
Obtain and preset Gaussian Blur picture material;
Original image is overlapped with described default Gaussian Blur picture material, it is thus achieved that the image after superposition;
Determine that the image after described superposition is the target image with Gaussian Blur effect.
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