CN109741283A - A kind of method and apparatus for realizing smart filter - Google Patents
A kind of method and apparatus for realizing smart filter Download PDFInfo
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- CN109741283A CN109741283A CN201910065890.7A CN201910065890A CN109741283A CN 109741283 A CN109741283 A CN 109741283A CN 201910065890 A CN201910065890 A CN 201910065890A CN 109741283 A CN109741283 A CN 109741283A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000005457 optimization Methods 0.000 claims abstract description 26
- 239000000284 extract Substances 0.000 claims abstract description 24
- 238000001514 detection method Methods 0.000 claims description 12
- 238000004321 preservation Methods 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 description 2
Abstract
The invention belongs to field of image processing more particularly to a kind of method and apparatus for realizing smart filter.Extract the primitive character information of original image；Filter is used to original image, obtains the optimization image that user saves, and extract the characteristic information of filter；Primitive character information, filter characteristic information and optimization image are stored in feature database in a manner of one-to-one, construct user preference feature database；User is instructed to the use of filter, to realize smart filter next time using user preference feature database.It solves and the machinery of filter is used in the prior art, the intelligent recommendation and intelligent use of filter are realized, so that filter using effect is more preferably.
Description
Technical field
The invention belongs to field of image processing more particularly to a kind of method and apparatus for realizing smart filter.
Background technique
Currently, the image for shooting adds filter, carry out beautifying picture, is widely used in intelligent terminal and shooting eventually
In end.However, in the prior art, in the software of beautifying picture, being named by the effect to filter, and pass through an example
Image shows the effect of filter, and user needs to browse all filtering effects figures to search the filter oneself liked, and
Will appear selected filter for may not be effect that user wants on present image, cause filtering effects use compared with
Difference.
Summary of the invention
The present invention proposes a kind of method and apparatus for realizing smart filter, for solving filter using effect in the prior art
Bad technical problem.
The present invention proposes a kind of method for realizing smart filter, the specific steps are as follows:
Extract the primitive character information of original image；
Filter is used to original image, obtains the optimization image that user saves, and extract the characteristic information of filter；
Primitive character information, filter characteristic information and optimization image are stored in feature database in a manner of one-to-one, structure
Build user preference feature database；
User is instructed to the use of filter, to realize smart filter next time using user preference feature database.
The primitive character information includes picture contrast, image saturation, image sharpness, color of image histogram, figure
As one of display foreground feature, image background feature, image category or a variety of.
Described image classification includes landscape, personage, cuisines.
The characteristic information for extracting filter includes: filter type and each parameter value of filter, wherein each parameter value of filter with
Adjustment percentage is saved.
It further include the favorite image information of user's addition in the user preference feature database, to the favorite image information
Analyzed, obtain the characteristic information for liking image, as filter characteristic information, like the corresponding filter characteristic information of image with
The actual numerical value of characteristics of image is saved.
It is described to instruct user to the use of filter, to realize smart filter next time using user preference feature database, comprising:
If preserving user preference feature database in detection system, and the data volume of feature database reaches certain threshold value, according to
Family selects " intelligent recommendation " still " liking image effect " to carry out different processing: if user selects " intelligent recommendation ", treating
When processing image is handled, the image feature information of image to be processed is extracted, these information and the original being stored in feature database
Beginning characteristic information is corresponding, and image feature information is compared with the primitive character information in feature database, extracts and characteristics of image
The most like primitive character information of information, and the corresponding filter characteristic information of the primitive character information is applied to image to be processed
On；If user selects " liking image effect ", listing the favorite image that user is saved will like according to the user's choice
Like that the filter characteristic information of image is applied to image to be processed；
The favorite image listing user and being saved, including the favorite image and image to be processed according to preservation
Characteristics of image is ranked up the display of the favorite image of preservation, wherein characteristics of image includes display foreground feature, image
One of background characteristics, image category are a variety of；
If not reaching certain threshold value without saving the data volume of user preference feature database or feature database in detection system,
Then prompt user currently without associated recommendation.
It is described to extract the primitive character information most like with image feature information and the primitive character information is corresponding
Filter characteristic information is applied on image to be processed, further can include: extracts and most like first three of image feature information
A primitive character information, and show user to select the corresponding optimization image of these three primitive character information, according to
The corresponding filter characteristic information of the selected optimization image in family is applied on image to be processed.
The present invention proposes a kind of device for realizing smart filter, specifically includes following module:
Primitive character information extraction modules, for extracting the primitive character information of original image；
Filter characteristic information extracting module, for, using filter, obtaining the optimization image that user saves to original image, and
Extract the characteristic information of filter；
Preference profiles library constructs module, for primitive character information, filter characteristic information and optimization image is a pair of with one
The mode answered is stored in feature database, constructs user preference feature database；
Smart filter realizes module, real for instructing user next time to the use of filter using user preference feature database
Existing smart filter.
The primitive character information includes picture contrast, image saturation, image sharpness, color of image histogram, figure
As one of display foreground feature, image background feature, image category or a variety of.
Described image classification includes landscape, personage, cuisines.
The characteristic information for extracting filter includes: filter type and each parameter value of filter, wherein each parameter value of filter with
Adjustment percentage is saved.
It further include the favorite image information of user's addition in the user preference feature database, to the favorite image information
Analyzed, obtain the characteristic information for liking image, as filter characteristic information, like the corresponding filter characteristic information of image with
The actual numerical value of characteristics of image is saved.
The smart filter realizes module, is specifically used for:
If preserving user preference feature database in detection system, and the data volume of feature database reaches certain threshold value, according to
Family selects " intelligent recommendation " still " liking image effect " to carry out different processing: if user selects " intelligent recommendation ", treating
When processing image is handled, the image feature information of image to be processed is extracted, these information and the original being stored in feature database
Beginning characteristic information is corresponding, and image feature information is compared with the primitive character information in feature database, extracts and characteristics of image
The most like primitive character information of information, and the corresponding filter characteristic information of the primitive character information is applied to image to be processed
On；If user selects " liking image effect ", listing the favorite image that user is saved will like according to the user's choice
Like that the filter characteristic information of image is applied to image to be processed；
The favorite image listing user and being saved, including the favorite image and image to be processed according to preservation
Characteristics of image is ranked up the display of the favorite image of preservation, wherein characteristics of image includes display foreground feature, image
One of background characteristics, image category are a variety of；
If not reaching certain threshold value without saving the data volume of user preference feature database or feature database in detection system,
Then prompt user currently without associated recommendation.
It is described to extract the primitive character information most like with image feature information and the primitive character information is corresponding
Filter characteristic information is applied on image to be processed, further can include: extracts and most like first three of image feature information
A primitive character information, and show user to select the corresponding optimization image of these three primitive character information, according to
The corresponding filter characteristic information of the selected optimization image in family is applied on image to be processed.
The present invention is based on a kind of method and apparatus for realizing smart filter of proposition, solve in the prior art to filter
Machinery uses, and the intelligent recommendation and intelligent use of filter is realized, so that filter using effect is more preferably.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention.
Fig. 2 is the device of the invention structure chart.
Specific embodiment
With reference to the accompanying drawing, it elaborates to embodiment.
Flow chart of the method for the present invention as shown in Figure 1:
The present invention proposes a kind of method for realizing smart filter, the specific steps are as follows:
Extract the primitive character information of original image；
Filter is used to original image, obtains the optimization image that user saves, and extract the characteristic information of filter；
Primitive character information, filter characteristic information and optimization image are stored in feature database in a manner of one-to-one, structure
Build user preference feature database；
User is instructed to the use of filter, to realize smart filter next time using user preference feature database.
The primitive character information includes picture contrast, image saturation, image sharpness, color of image histogram, figure
As one of foreground features, image background feature, image category or a variety of.
Described image classification includes landscape, personage, cuisines.
The characteristic information for extracting filter includes: filter type and each parameter value of filter, wherein each parameter value of filter with
Adjustment percentage is saved.For example, to the saturation boost of image 10%, then saturation degree is saved as ,+10%.
It further include the favorite image information of user's addition in the user preference feature database, to the favorite image information
Analyzed, obtain the characteristic information for liking image, as filter characteristic information, like the corresponding filter characteristic information of image with
The actual numerical value of characteristics of image is saved.User favorite image can be from network after see in circle of friends think to compare
The image preferred, the image are common images, do not save relevant filter information.
It is described to instruct user to the use of filter, to realize smart filter next time using user preference feature database, comprising:
If preserving user preference feature database in detection system, and the data volume of feature database reaches certain threshold value, according to
Family selects " intelligent recommendation " still " liking image effect " to carry out different processing: if user selects " intelligent recommendation ", treating
When processing image is handled, the image feature information of image to be processed is extracted, these information and the original being stored in feature database
Beginning characteristic information is corresponding, and image feature information is compared with the primitive character information in feature database, during the comparison process, optional
Select picture contrast, image saturation, image sharpness, color of image histogram, display foreground feature, image background feature, figure
As one of classification or it is a variety of be weighted comparison, for example, special using picture contrast, display foreground feature and image background
Sign is when comparing, and the contrast difference between movement images assigns score value W1 with the difference, movement images prospect or background are special
Before sign, such as similitude between display foreground or background object profile, display foreground or background object color similarity, image
Scape or background object classification similitude etc. weight imparting prospect score value W2, background score value W3 according to these similitudes, then will
W1, W2, W3 are weighted.Above-mentioned specific example is example, and those skilled in the art, which can according to need, suitably to be deformed.
Extract the primitive character information most like with image feature information, and by the corresponding filter of primitive character information
Characteristic information is applied on image to be processed；If user select " liking image effect ", list user saved it is favorite
Image will like the filter characteristic information of image to be applied to image to be processed according to the user's choice；
The favorite image listing user and being saved, including the favorite image and image to be processed according to preservation
Characteristics of image is ranked up the display of the favorite image of preservation, wherein characteristics of image includes display foreground feature, image
One of background characteristics, image category are a variety of.For example, being compared using display foreground feature and image background feature
When, similitude, display foreground or back between movement images prospect or background characteristics, such as display foreground or background object profile
Scape object color similitude, display foreground or background object classification similitude etc. weight imparting prospect point according to these similitudes
W2, W3, are then weighted by value W2, background score value W3.Above-mentioned specific example is example, and those skilled in the art can root
It is suitably deformed according to needs.
If not reaching certain threshold value without saving the data volume of user preference feature database or feature database in detection system,
Then prompt user currently without associated recommendation.
It is described to extract the primitive character information most like with image feature information and the primitive character information is corresponding
Filter characteristic information is applied on image to be processed, further can include: extracts and most like first three of image feature information
A primitive character information, and show user to select the corresponding optimization image of these three primitive character information, according to
The corresponding filter characteristic information of the selected optimization image in family is applied on image to be processed.
The device of the invention structure chart as shown in Figure 2, specifically includes following module:
Primitive character information extraction modules, for extracting the primitive character information of original image；
Filter characteristic information extracting module, for, using filter, obtaining the optimization image that user saves to original image, and
Extract the characteristic information of filter；
Preference profiles library constructs module, for primitive character information, filter characteristic information and optimization image is a pair of with one
The mode answered is stored in feature database, constructs user preference feature database；
Smart filter realizes module, real for instructing user next time to the use of filter using user preference feature database
Existing smart filter.
The primitive character information includes picture contrast, image saturation, image sharpness, color of image histogram, figure
As one of display foreground feature, image background feature, image category or a variety of.
Described image classification includes landscape, personage, cuisines.
The characteristic information for extracting filter includes: filter type and each parameter value of filter, wherein each parameter value of filter with
Adjustment percentage is saved.
It further include the favorite image information of user's addition in the user preference feature database, to the favorite image information
Analyzed, obtain the characteristic information for liking image, as filter characteristic information, like the corresponding filter characteristic information of image with
The actual numerical value of characteristics of image is saved.
The smart filter realizes module, is specifically used for:
If preserving user preference feature database in detection system, and the data volume of feature database reaches certain threshold value, according to
Family selects " intelligent recommendation " still " liking image effect " to carry out different processing: if user selects " intelligent recommendation ", treating
When processing image is handled, the image feature information of image to be processed is extracted, these information and the original being stored in feature database
Beginning characteristic information is corresponding, and image feature information is compared with the primitive character information in feature database, extracts and characteristics of image
The most like primitive character information of information, and the corresponding filter characteristic information of the primitive character information is applied to image to be processed
On；If user selects " liking image effect ", listing the favorite image that user is saved will like according to the user's choice
Like that the filter characteristic information of image is applied to image to be processed；
The favorite image listing user and being saved, including the favorite image and image to be processed according to preservation
Characteristics of image is ranked up the display of the favorite image of preservation, wherein characteristics of image includes display foreground feature, image
One of background characteristics, image category are a variety of；
If not reaching certain threshold value without saving the data volume of user preference feature database or feature database in detection system,
Then prompt user currently without associated recommendation.
It is described to extract the primitive character information most like with image feature information and the primitive character information is corresponding
Filter characteristic information is applied on image to be processed, further can include: extracts and most like first three of image feature information
A primitive character information, and show user to select the corresponding optimization image of these three primitive character information, according to
The corresponding filter characteristic information of the selected optimization image in family is applied on image to be processed.
Above-described embodiment is merely preferred embodiments of the present invention, but protection scope of the present invention is not limited to
This, anyone skilled in the art in the technical scope disclosed by the present invention, the variation that can readily occur in or replaces
It changes, should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claim
Subject to enclosing.
Claims (10)
1. a kind of method for realizing smart filter, the specific steps are as follows:
Extract the primitive character information of original image；
Filter is used to original image, obtains the optimization image that user saves, and extract the characteristic information of filter；
Primitive character information, filter characteristic information and optimization image are stored in feature database in a manner of one-to-one, building is used
Family preference profiles library；
User is instructed to the use of filter, to realize smart filter next time using user preference feature database.
2. the method as described in claim 1, which is characterized in that the primitive character information includes that picture contrast, image are full
With one of degree, image sharpness, color of image histogram, image image foreground features, image background feature, image category or
It is a variety of；Described image classification includes landscape, personage, cuisines.
3. the method as described in claim 1, which is characterized in that it is described extract filter characteristic information include: filter type and
Each parameter value of filter, wherein each parameter value of filter is saved with adjusting percentage.
4. method as claimed in claim 3, which is characterized in that further include the happiness of user's addition in the user preference feature database
The image information of love analyzes the favorite image information, obtains the characteristic information for liking image, believes as filter feature
Breath, likes that the corresponding filter characteristic information of image is saved with the actual numerical value of characteristics of image.
5. method as claimed in claim 4, which is characterized in that described to instruct user next time right using user preference feature database
Smart filter is realized in the use of filter, comprising:
If preserving user preference feature database in detection system, and the data volume of feature database reaches certain threshold value, selects according to user
It selects " intelligent recommendation " and still " liking image effect " carries out different processing: if user selects " intelligent recommendation ", to be processed
When image is handled, the image feature information of image to be processed is extracted, these information and the original spy being stored in feature database
Reference breath corresponds to, and image feature information compares with the primitive character information in feature database, extracts and image feature information
Most like primitive character information, and the corresponding filter characteristic information of the primitive character information is applied on image to be processed；
If user selects " liking image effect ", figure will be liked according to the user's choice by listing the favorite image that user is saved
The filter characteristic information of picture is applied to image to be processed；
The favorite image listing user and being saved, including according to the favorite image of preservation and the image of image to be processed
Feature is ranked up the display of the favorite image of preservation, wherein characteristics of image includes display foreground feature, image background
One of feature, image category are a variety of；
If not reaching certain threshold value without saving the data volume of user preference feature database or feature database in detection system, mention
Show user currently without associated recommendation；
It is described to extract the primitive character information most like with image feature information, and by the corresponding filter of primitive character information
Characteristic information is applied on image to be processed, further can include: extracts first three original most like with image feature information
Beginning characteristic information, and show user to select the corresponding optimization image of these three primitive character information, according to user institute
The corresponding filter characteristic information of the optimization image of selection is applied on image to be processed.
6. a kind of device for realizing smart filter, which is characterized in that specifically include following module:
Primitive character information extraction modules, for extracting the primitive character information of original image；
Filter characteristic information extracting module obtains the optimization image that user saves, and extract for using filter to original image
The characteristic information of filter；
Preference profiles library constructs module, is used for primitive character information, filter characteristic information and optimization image with one-to-one
Mode is stored in feature database, constructs user preference feature database；
Smart filter realizes module, for instructing user to the use of filter, to realize intelligence next time using user preference feature database
It can filter.
7. device as claimed in claim 6, which is characterized in that the primitive character information includes that picture contrast, image are full
With one of degree, image sharpness, color of image histogram, image image foreground features, image background feature, image category or
It is a variety of；Described image classification includes landscape, personage, cuisines.
8. device as claimed in claim 6, which is characterized in that it is described extract filter characteristic information include: filter type and
Each parameter value of filter, wherein each parameter value of filter is saved with adjusting percentage.
9. device as claimed in claim 8, which is characterized in that further include the happiness of user's addition in the user preference feature database
The image information of love analyzes the favorite image information, obtains the characteristic information for liking image, believes as filter feature
Breath, likes that the corresponding filter characteristic information of image is saved with the actual numerical value of characteristics of image.
10. device as claimed in claim 9, which is characterized in that the smart filter realizes module, is specifically used for: if detection
User preference feature database is preserved in system, and the data volume of feature database reaches certain threshold value, " intelligently pushed away according to user's selection
Recommend " the still different processing of " liking image effect " progress: if user selects " intelligent recommendation ", to image to be processed
When reason, the image feature information of image to be processed is extracted, these information are corresponding with the primitive character information being stored in feature database,
Image feature information is compared with the primitive character information in feature database, is extracted and most like original of image feature information
Characteristic information, and the corresponding filter characteristic information of the primitive character information is applied on image to be processed；If user's selection " happiness
Like image effect ", then the favorite image that user is saved is listed, according to the user's choice, will like the filter feature of image
Information application is in image to be processed；
The favorite image listing user and being saved, including according to the favorite image of preservation and the image of image to be processed
Feature is ranked up the display of the favorite image of preservation, wherein characteristics of image includes display foreground feature, image background
One of feature, image category are a variety of；
If not reaching certain threshold value without saving the data volume of user preference feature database or feature database in detection system, mention
Show user currently without associated recommendation；
It is described to extract the primitive character information most like with image feature information, and by the corresponding filter of primitive character information
Characteristic information is applied on image to be processed, further can include: extracts first three original most like with image feature information
Beginning characteristic information, and show user to select the corresponding optimization image of these three primitive character information, according to user institute
The corresponding filter characteristic information of the optimization image of selection is applied on image to be processed.
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