CN109493294A - A kind of image processing method and mobile terminal - Google Patents
A kind of image processing method and mobile terminal Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/30196—Human being; Person
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Abstract
The embodiment of the invention provides a kind of image processing method and mobile terminals, are related to field of communication technology, to solve the problems, such as that image processing function is abnormal because excess processes cause image to occur.Wherein, described image processing method, comprising: receive the first input for processing target image；In response to first input, edit operation is carried out to the target image, obtains the first image information；Obtain the abnormal image information for being less than first threshold in the first image information with the similarity of pre-set image information；The abnormal image information is handled.Image processing method in the embodiment of the present invention is applied in mobile terminal.
Description
Technical field
The present embodiments relate to field of communication technology more particularly to a kind of image processing methods and mobile terminal.
Background technique
Currently, the image processing function of mobile terminal is more and more perfect, portrait beautification may be implemented, such as thin face, is dispelled at mill skin
Acne etc., it is background blurring, and a variety for the treatment of effects such as cutting are stretched, to meet the demand of taking pictures of user.
In general, user can execute multiple edit operation when carrying out editing and processing to a picture, such as repeatedly cuts, is more
Secondary beautification, to reach user's desired effect.To which inevitably, after user repeatedly edit to picture, picture can
The case where part details missing, fuzzy or distortion can be will appear, but user oneself does not notice.For example, user is to one
Edlin processing is shone into opening and closing, and the skin due to too focusing on oneself during editing and processing beautifies, so that mill bark effect is excessive,
The eyebrow of upper part personage of causing to take a group photo almost is not seen.
As it can be seen that existing image processing function is abnormal because excess processes cause image to occur.
Summary of the invention
The embodiment of the present invention provides a kind of image processing method, to solve image processing function because excess processes lead to image
There is abnormal problem.
In order to solve the above-mentioned technical problem, the present invention is implemented as follows: receiving defeated for the first of processing target image
Enter；In response to first input, edit operation is carried out to the target image, obtains the first image information；Obtain described
It is less than the abnormal image information of first threshold in one image information with the similarity of pre-set image information；The abnormal image is believed
Breath is handled.
In a first aspect, the embodiment of the invention also provides a kind of mobile terminals, comprising: the first input receiving module is used for
Receive the first input for processing target image；First input respond module, for being inputted in response to described first, to described
Target image carries out edit operation, obtains the first image information；It is abnormal to obtain module, for obtaining in the first image information
It is less than the abnormal image information of first threshold with the similarity of pre-set image information；Exception processing module, for the exception
Image information is handled.Second aspect, the embodiment of the invention also provides a kind of mobile terminal, including processor, memory,
It is stored in the computer program that can be run on the memory and on the processor, the computer program is by the processing
The step of described image processing method is realized when device executes.
The third aspect, it is described computer-readable to deposit the embodiment of the invention also provides a kind of computer readable storage medium
It is stored with computer program on storage media, the step of described image processing method is realized when the computer program is executed by processor
Suddenly.
In embodiments of the present invention, user chooses target image and handles, the manual operation based on user, or mobile
Terminal is automatically brought into operation, and receives the first input that edit operation is carried out to target image, thus in response to the first input, to target
Image carries out corresponding edit operation, to reach the purpose of beautification target image.After completing to the processing of target image, obtain
Corresponding first image information of target image that treated.Further the first image information of detection is similar to pre-set image information
Degree, wherein the content that can include by pre-set image information is compared one by one with the corresponding content in the first image information, when
For detecting certain letter contents in the first image information compared with pre-set image information corresponding part, biggish variation has occurred,
That is the similarity of this partial content and pre-set image information corresponding part in the first image information is lower, it is specific as similarity compared with
It is low to be less than first threshold, so that this partial content in the first image information is considered the exception generated in image processing process
Image information, and then abnormal image information is further processed, processing means are such as highlighted, are repaired.Wherein, it presets
Image information can be untreated target image information or common image template information etc., these image informations do not include different
Normal image information, can be used as examination criteria, be conducive to detect the abnormal phenomenon after image procossing.It can be seen based on the above process
Out, it is different from existing image processing method, the present embodiment also can be detected after handling target image because processed
The abnormal conditions occurred are spent, in order to which user checks in time, repairs exception in image, so that target image reaches more
Perfect effect.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is one of flow chart of image processing method of the embodiment of the present invention；
Fig. 2 is the two of the flow chart of the image processing method of the embodiment of the present invention；
Fig. 3 is the three of the flow chart of the image processing method of the embodiment of the present invention；
Fig. 4 is the display interface schematic diagram of the mobile terminal of the embodiment of the present invention；
Fig. 5 is the four of the flow chart of the image processing method of the embodiment of the present invention；
Fig. 6 is the five of the flow chart of the image processing method of the embodiment of the present invention；
Fig. 7 is one of block diagram of mobile terminal of the embodiment of the present invention；
Fig. 8 is the two of the block diagram of the mobile terminal of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Referring to Fig. 1, the flow chart of the image processing method of one embodiment of the invention is shown, is applied to mobile terminal,
Include:
Step S1: the first input for processing target image is received.
First inputs including a variety of image procossing modes, such as thin face, mill skin, anti-acne landscaping treatment, background blurring processing,
And stretch cutting processing etc..
First input includes being manually entered for user and automatically entering for terminal.Wherein, it automatically enters as known automatically
Not.
Step S2: in response to the first input, edit operation is carried out to target image, obtains the first image information.
According to the corresponding processing mode of the first input, corresponding edit operation is carried out to target image, to be handled
Target image afterwards, and then obtain corresponding first image information of target image after processing.
In practical applications, preferred, users complete the optimization processing to target image by the first input, meet processing effect
It clicks and saves after fruit, so that mobile terminal is when receiving user and clicking the input saved, the synchronous target figure that obtains that treated
As corresponding first image information.
Step S3: the abnormal image for being less than first threshold in the first image information with the similarity of pre-set image information is obtained
Information.
Here pre-set image information is the abnormal reference standard of detection.Wherein, before processing can be selected in pre-set image information
The corresponding image information of target image, with by comparing target image before and after the processing, to obtain the exception generated after processing
Situation；In addition, standard form also can be selected in pre-set image information, such as facial image, the face template of standard can be selected, with
Treated facial image is compared with the face template of standard, so that the exception in the facial image that obtains that treated is existing
As.
Preferably, pre-set image information this can be more picture relevant to target image, model etc..
In this step, the first image information is compared with pre-set image information, specific control methods may is that by
All the elements that pre-set image information includes are compared one by one with corresponding content in the first image information, to obtain in same
Hold the variation occurred during image processing.A certain content is changed greatly in image processing process if detecting, for example is gone out
Show the biggish variation such as missing, fuzzy, thus it is believed that the contents processing is abnormal, and the content is determined as the first image and is believed
Abnormal image information in breath.
When especially pre-set image information is the target image corresponding image information before processing, after image procossing, the
For one image information is compared with pre-set image information, most contents are changed, in order to distinguish normal variation and anomalous variation,
Using similarity of the same content before and after image procossing as reference, and the first threshold of similarity is set, when same content exists
Similarity before and after image procossing is more than or equal to first threshold, i.e. the similarity of the two is higher, and variation degree is little, it is believed that
It is normal variation；When similarity of the same content before and after image procossing is less than first threshold, i.e. the similarity of the two is lower, becomes
Change degree is larger, it is believed that is anomalous variation, which is the abnormal image information in the first image information.
Wherein, anomalous variation includes excessively repairing missing caused by figure, fuzzy etc..
Preferably, similarity can be considered from content and clarity two aspects.When content aspect, such as
After image procossing, the personage of the leftmost side is cut in target image, so that the picture material pair at the position can be detected
It answers the similarity before and after image procossing lower, and then thinks abnormal phenomenon caused by being missing from；When clarity aspect, example
Such as after image procossing, the personage of the leftmost side is because mill skin excessively leads to not it is clear that so that the position can be detected in target image
It is lower to set the similarity of the picture material correspondence image at place before and after the processing, and then is considered abnormal phenomenon caused by obscuring.
It should be noted that the first threshold of different value is set from the aspect of can be based on difference；It can also be based in difference
The comparison of appearance sets the first threshold of different value.
Step S4: abnormal image information is handled.
After obtaining abnormal image information, abnormal image information can be handled.Processing mode includes: after treatment
Abnormal image information is highlighted in target image, to remind user；To abnormal image information in target image after treatment
It is automatically repaired；Manual reparation of the user to abnormal image information is received in target image after treatment.
It should be noted that two parts image procossing is actually included at least in the image processing method of the present embodiment,
In first part's image procossing, for realizing the optimization processing to target image；In second part image procossing, for real
Now to a series of processing of abnormal image information.
In embodiments of the present invention, user chooses target image and handles, the manual operation based on user, or mobile
Terminal is automatically brought into operation, and receives the first input that edit operation is carried out to target image, thus in response to the first input, to target
Image carries out corresponding edit operation, to reach the purpose of beautification target image.After completing to the processing of target image, obtain
Corresponding first image information of target image that treated.Further the first image information of detection is similar to pre-set image information
Degree, wherein the content that can include by pre-set image information is compared one by one with the corresponding content in the first image information, when
For detecting certain letter contents in the first image information compared with pre-set image information corresponding part, biggish variation has occurred,
That is the similarity of this partial content and pre-set image information corresponding part in the first image information is lower, it is specific as similarity compared with
It is low to be less than first threshold, so that this partial content in the first image information is considered the exception generated in image processing process
Image information, and then abnormal image information is further processed, processing means are such as highlighted, are repaired.Wherein, it presets
Image information can be untreated target image information or common image template information etc., these image informations do not include different
Normal image information, can be used as examination criteria, be conducive to detect the abnormal phenomenon after image procossing.It can be seen based on the above process
Out, it is different from existing image processing method, the present embodiment also can be detected after handling target image because processed
The abnormal conditions occurred are spent, in order to which user checks in time, repairs exception in image, so that target image reaches more
Perfect effect.
Preferably, the detection operation of the input triggering abnormal image information saved can be clicked by user；It can also be per complete
After an edit operation, the detection operation of abnormal image information is triggered, to remind user to repair in time.
On the basis of embodiment shown in Fig. 1, Fig. 2 shows the streams of the image processing method of another embodiment of the present invention
Before Cheng Tu, step S1, further includes:
Step S5: the second image information of target image before treatment is obtained.
Here the second image information is pre-set image information the corresponding image of target image before the processing for including
Information.
In practical applications, user chooses a target image in photo library, clicks editing options, and target image carries out
Editing mode after target image enters editing mode, before mobile terminal does not also edit target image, obtains target image
The second image information.Second image information, that is, target image primary data.
Accordingly, step S3 includes:
Step S31: the Abnormal Map for being less than second threshold in the first image information with the similarity of the second image information is obtained
As information.
In this step, different based on selected pre-set image information, the first threshold of setting is not also identical, and here the
Two threshold values are included in the range of first threshold, are only applicable to the comparison situation of the second image information.
In the present embodiment, standard of the corresponding image information of target image as detection exception before preferred process, makes
It is more accurate that abnormal result must be detected, finally obtained target image is avoided to be distorted.
On the basis of embodiment shown in Fig. 2, Fig. 3 shows the stream of the image processing method of another embodiment of the present invention
Cheng Tu, step S4 include:
Step S411: the abnormal image information flag in the first image information of display.
Referring to fig. 4, the abnormal area 1 where abnormal image information can be irised out in the first image information, as Abnormal Map
As information flag, so as to play the role of reminding user, and then user can be repaired manually based on abnormal image information flag selection
Again, it is automatically repaired, or does not repair, directly preservation target image.
Step S412: the second input that user is used to choose abnormal image information is received.
Second input includes long-pressing input, click input etc..
Referring to fig. 4, in practical applications, any abnormal area 1 of user's long-pressing completes the selection to the abnormal area 1, should
The reparation state of abnormal area 1 is activated.
Step S413: in response to the second input, display acts on the operation of the historical compilation in abnormal image information.
Referring to fig. 4, in practical applications, it is inputted in response to second, the reparation state quilt of abnormal area 1 selected by user
Activation acts on the historical compilation operation (operation A~operation G) on abnormal area 1 in optimization process with operating list
Form be shown in current display surface.
Wherein, the edit operation in operating list is not limited to operation A to operating G, and user can horizontally slip operating list, with
Show more historical compilation operations.
Step S414: the third input that user is used to adjust historical compilation operation is received.
Step S415: inputting in response to third, is adjusted to the historical compilation operation acted in abnormal image information.
Third input includes clicking input, slidably input, dragging input etc., and third input chooses historical compilation for user
Operation (any operation of the operation A into operation G), and adjust selected historical compilation operation.
The specific implementation of adjustment includes retracting, changing degree for the treatment of etc..Wherein, if because abnormal image information compared to
Similarity is lower caused by second image information corresponding part missing, preferably retracts corresponding historical compilation operation；If because different
Similarity is lower caused by normal image information is fuzzy compared to the second image information corresponding part, preferably changes corresponding history
The degree for the treatment of of edit operation.
Referring to fig. 4, in practical applications, user's selection operation A, long press operation A simultaneously remove operating list, can retraction operation
A；User selection operation A, the degree for the treatment of of display operation A drags item 2 on screen, and user drags degree and drags item 2, and behaviour can be changed
The degree for the treatment of on abnormal area 1 is acted on as A, is such as changed background blurring by 80% to 40%, so that in abnormal area 1
Abnormal image information be apparent from.
It should be noted that the historical compilation operation acted in abnormal image information may also act on other positions
On, but inputted in response to third, adjust only for the effect acted in abnormal image information.
Step S416: if detecting, the similarity of abnormal image information and the second image information corresponding part is greater than or waits
In second threshold, then cancel display abnormal image information flag.
After user is adjusted historical compilation operation, mobile terminal can continue to test abnormal image information and the second figure
As the similarity of information corresponding part, as user constantly adjusts the historical compilation operation acted in abnormal image information,
So that abnormal image information and the similarity of the second image information corresponding part become larger, it is more than or equal to the until meeting
The condition of two threshold values is repaired successfully, display abnormal image information flag is cancelled.
Further, prompting can be made, at abnormal image information flag also to remind user to repair successfully.
Further, it repairs successfully when all abnormal image information in the first image information are whole, can also automatically save
Target image.
Present embodiments provide a kind of method that user repairs abnormal image information manually.User can according to the actual situation,
The historical compilation operation for acting on abnormal image information is manually adjusted, the exception in target image can be not only eliminated, can also expire
Sufficient user is to different zones, the processing requirement of different objects in target image.
On the basis of embodiment shown in Fig. 2, Fig. 5 shows the stream of the image processing method of another embodiment of the present invention
Cheng Tu, step S5 include:
Step S421: the abnormal image information flag in the first image information of display.
Step S422: the historical compilation operation acted in abnormal image information is obtained.
While obtaining historical compilation operation, action type, such as virtualization, mill skin are not only obtained, can also be obtained each
The sequencing of operation.Such as after choosing abnormal area 1, some column historical compilations behaviour acted on the abnormal area is obtained
Make, some column historical compilation operations are arranged successively according to the sequencing of execution.
Step S423: acting on the sequencing in abnormal image information according to historical compilation, grasps to historical compilation
It is adjusted.
In this step, in order to repair abnormal image information, each history acted on abnormal area 1 can successively be retracted
Edit operation, preferably can be according to sequence from back to front, i.e., the operation finally acted on is first retracted, and the operation of front is successively retracted.
It can also successively change the degree for the treatment of of each historical compilation operation acted on abnormal area.
Step S424: if detecting, the similarity of abnormal image information and the second image information corresponding part is greater than or waits
In second threshold, then cancel display abnormal image information flag.
Different from a upper embodiment, a kind of method that terminal is automatically repaired abnormal image information is present embodiments provided.?
After obtaining abnormal image information, abnormal image information flag is shown in the first image information first, is checked convenient for user.Into one
Step ground, obtains and corrective action is in the historical compilation operation in abnormal image information.It preferably, can be according to abnormal image information institute
The Exception Type of category such as lacks Exception Type, fuzzy Exception Type, the automatically edit operation to acting in abnormal image information
It is adjusted.
Common automatic adjusting method has: will will cause in abnormal area abnormal trimming operation etc. retract one by one until
Abnormal area restores complete, abnormal disappearance；The degree of the processing such as automatic mill skin, the whitening for reducing abnormal area is until abnormal area
Restore clear, abnormal disappearance.
The present embodiment provides a kind of quick method for repairing exception by being automatically repaired abnormal image information, for user,
Under the premise of plot quality is repaired in guarantee, user's operation is reduced.
As it can be seen that after obtaining the abnormal image information in target image, it can be by being automatically repaired or repairing two kinds manually
Mode repairs abnormal image information, effectively prevent the excessive editing picture of user.
On the basis of embodiment shown in Fig. 2, Fig. 6 shows the process of the image processing method of one embodiment of the invention
Figure, step S5 include:
Step S51: the main object for including in recognition target image.
The main object for including in target image is not limited to one, and the type of main object is not limited to people, object etc..It is preferred that
Ground preferably identifies whole main objects using the main object for including in image recognition technology recognition target image, to avoid
Each main object occurs abnormal.
Step S52: the second attribute information of main object is obtained.
It is preferred that obtaining the second attribute information of all main objects respectively, such as obtain the second attribute of the first main object
Information, the second main object the second attribute information ... N main object the second attribute information.
Accordingly, step S2 includes:
Step S21: in response to the first input, carrying out edit operation to target image, the target image that obtains that treated.
Step S22: the main object in target image after identifying processing.
Preferably, abnormal detection function can be triggered, thus abnormality detection function after receiving user and clicking the input saved
It can enable, the main object in target image after identifying processing.
Here it can recognize the whole main objects for including in treated target image, it can also be based on being identified in step S51
Main object, identify corresponding main object in target image after treatment.
Step S23: the first attribute information of main object is obtained.
It is preferred that obtaining the first attribute information corresponding with the second attribute information.
Accordingly, step S31 includes:
Step S311: if detecting the target property information and the second attribute information in the first attribute information of main object
In corresponding part similarity be less than third threshold value, then target property information is determined into abnormal image information.
Here third threshold value is included in the range of second threshold, is only applicable to the similarity ratio of target property information
Compared with.
Wherein, by taking the first main object as an example, by the second attribute information of the first main object and its treated first
Attribute information is compared, so as to obtain the target property information that similarity is less than third threshold value in the first attribute information.
According to analogize, it can be based on above-mentioned comparative approach, obtain target category present in all main objects in target image
Property information, to form the set of abnormal image information.
Image information is divided into the attribute information of multiple main objects by the present embodiment, to obtain each main object respectively
Abnormal image information, so that it is guaranteed that in target image each main object image processing effect.
Preferably, the attribute information of main object includes at least the characteristic parameter of the identification code of main object, main object
With the characteristic parameter of the subordinate subobject of main object.
Preferably, same main body pair can be identified in the second image information and the first image information respectively by identification code
As in order to be compared.Namely according to the identification code for the main object for including in the second attribute information, believe in the first attribute
Breath finds corresponding main object, to complete further compare.It preferably, can be in all properties information of same main object
In mark corresponding identification code.
The characteristic parameter of main object includes the position of main object in the target image, the position with other main objects
Relationship, profile coordinate of main object etc., in order to be judged after image procossing according to the characteristic parameter of main object, main body pair
As whether there is, it is whether complete or whether fuzzy etc..
The subordinate subobject of main object includes the component part of main object, for each component part, is corresponded to
Characteristic parameter include belonging to the identification code of main object, profile coordinate, the position on main object, with other component parts
Positional relationship etc..
The content that attribute information based on main object is included, the abnormal process of specific detection are as follows:
Detect the main object of the first image information quantity whether less than the second image information main object quantity；
If it is, the corresponding main object of quantity lacked is determined in the first image information according to the second image information, and according to
The position of the second image information main object and profile carry out the mark in region in the first image information, further judge
Whether the main object is located in the region of mark；If it is, there is fuzzy exception in the main object；If it is not, then the master
It is abnormal that missing occurs in body object.It should be noted that it is imperfect because main object is fuzzy or lacks etc., in statistical subject object
When quantity, handled without counting.
It is determining main object whether after exception, then is determining whether the component part of each main object is abnormal one by one.Root
According to the identification code of main object, all second attribute informations that a main object includes are obtained, further successively to each master
Body object is detected.For the detection process of one of main object are as follows: if the component part that the first attribute information includes
Quantity less than the component part that the second attribute information includes quantity, it is determined that lack the corresponding component part of quantity, and press
Position and profile according to the component part in the second attribute information carry out the mark in region in the first attribute information；Judgement should
Whether component part is located in the region of mark, if it is, fuzzy exception occurs in the component part；If it is not, then the composition
It is abnormal that missing occurs in part.It should be noted that it is imperfect because component part is fuzzy or lacks etc., in statistics component part number
When amount, handled without counting.
Above-mentioned detection process is more applicable for being automatically repaired, and to judge automatically out Exception Type according to the method, and carries out
Corresponding repair process, for fuzzy abnormal adjustable operational degree；It is abnormal for missing to retract edit operation.
It should be noted that the edit operation of the above inventive embodiments does not include the editor that can inherently block picture element
Operation, such as paster, mosaic etc..That is, if not belonging to because of the exception such as missing, fuzzy caused by the edit operations such as paster, mosaic
In the range of the above inventive embodiments research.
In conclusion the image processing method of the above inventive embodiments, can examine the picture for completing edit operation
It surveys, identifies picture abnormal area automatically, it is further provided convenient and fast restorative procedure is repaired because picture caused by excessively editing is asked
Topic.
Fig. 7 shows the block diagram of the mobile terminal of another embodiment of the present invention, comprising:
First input receiving module 10, for receiving the first input for being used for processing target image；
First input respond module 20, for carrying out edit operation to target image, obtaining first in response to the first input
Image information；
It is abnormal to obtain module 30, for obtaining in the first image information with the similarity of pre-set image information less than the first threshold
The abnormal image information of value；
Exception processing module 40, for handling abnormal image information.
In embodiments of the present invention, user chooses target image and handles, the manual operation based on user, or mobile
Terminal is automatically brought into operation, and receives the first input that edit operation is carried out to target image, thus in response to the first input, to target
Image carries out corresponding edit operation, to reach the purpose of beautification target image.After completing to the processing of target image, obtain
Corresponding first image information of target image that treated.Further the first image information of detection is similar to pre-set image information
Degree, wherein the content that can include by pre-set image information is compared one by one with the corresponding content in the first image information, when
For detecting certain letter contents in the first image information compared with pre-set image information corresponding part, biggish variation has occurred,
That is the similarity of this partial content and pre-set image information corresponding part in the first image information is lower, it is specific as similarity compared with
It is low to be less than first threshold, so that this partial content in the first image information is considered the exception generated in image processing process
Image information, and then abnormal image information is further processed, processing means are such as highlighted, are repaired.Wherein, it presets
Image information can be untreated target image information or common image template information etc., these image informations do not include different
Normal image information, can be used as examination criteria, be conducive to detect the abnormal phenomenon after image procossing.It can be seen based on the above process
Out, it is different from existing image processing method, the present embodiment also can be detected after handling target image because processed
The abnormal conditions occurred are spent, in order to which user checks in time, repairs exception in image, so that target image reaches more
Perfect effect.
Preferably, mobile terminal further include:
Raw image obtains module, for obtaining the second image information of target image；
Exception obtains module 30
Abnormal acquiring unit is handled, for obtaining the similarity in the first image information with the second image information less than second
The abnormal image information of threshold value.
Further, exception processing module 40 includes:
First label display unit, for showing the abnormal image information flag in the first image information；
Second input receiving unit, for receiving user for choosing the second input of abnormal image information；
Second input response unit, in response to the second input, display to act on the history in abnormal image information and compiles
Collect operation；
Third input receiving unit, for receiving user for adjusting the third input of historical compilation operation；
Third inputs response unit, for inputting in response to third, to the historical compilation acted in abnormal image information
Operation is adjusted；
First label cancels unit, if for detecting that abnormal image information is similar to the second image information corresponding part
Degree is more than or equal to second threshold, then cancels display abnormal image information flag.
Preferably, exception processing module 40 includes:
Second label display unit, for showing the abnormal image information flag in the first image information；
Acquiring unit is edited, for obtaining the historical compilation acted in abnormal image information operation；
Adjustment unit is edited, for acting on the sequencing in abnormal image information according to historical compilation, to going through
History edit operation is adjusted；
Second label cancels unit, if for detecting that abnormal image information is similar to the second image information corresponding part
Degree is more than or equal to second threshold, then cancels display abnormal image information mark.
Preferably, raw image acquisition module includes:
Untreated main body recognition unit, the main object for including in target image for identification；
Second attribute information acquiring unit, for obtaining the second attribute information of main object；
First, which inputs respond module 20, includes:
Processing image obtains unit, for edit operation being carried out to target image, after obtaining processing in response to the first input
Target image；
Handle main body recognition unit, the main object in treated for identification target image；
First attribute information acquiring unit, for obtaining the first attribute information of main object；
Handling abnormal acquiring unit includes:
Abnormal attribute determines subelement, if the target property information in the first attribute information for detecting main object
It is less than third threshold value with the similarity of the corresponding part in the second attribute information, then target property information is determined that abnormal image is believed
Breath.
Preferably, the attribute information of main object includes at least the characteristic parameter of the identification code of main object, main object
With the characteristic parameter of the subordinate subobject of main object.
Mobile terminal provided in an embodiment of the present invention can be realized mobile terminal in the embodiment of the method for Fig. 1 to Fig. 6 and realize
Each process, to avoid repeating, which is not described herein again.
A kind of hardware structural diagram of Fig. 8 mobile terminal of each embodiment to realize the present invention, the mobile terminal 100
Including but not limited to: radio frequency unit 101, audio output unit 103, input unit 104, sensor 105, is shown network module 102
Show the components such as unit 106, user input unit 107, interface unit 108, memory 109, processor 110 and power supply 111.
It will be understood by those skilled in the art that mobile terminal structure shown in Fig. 8 does not constitute the restriction to mobile terminal, it is mobile whole
End may include perhaps combining certain components or different component layouts than illustrating more or fewer components.In the present invention
In embodiment, mobile terminal includes but is not limited to mobile phone, tablet computer, laptop, palm PC, car-mounted terminal, can wear
Wear equipment and pedometer etc..
Wherein, processor 110, for controlling first input of the reception of user input unit 107 for processing target image；
In response to first input, edit operation is carried out to the target image, obtains the first image information；Obtain first figure
Abnormal image information as being less than first threshold in information with the similarity of pre-set image information；To the abnormal image information into
Row processing.
In embodiments of the present invention, user chooses target image and handles, the manual operation based on user, or mobile
Terminal is automatically brought into operation, and receives the first input that edit operation is carried out to target image, thus in response to the first input, to target
Image carries out corresponding edit operation, to reach the purpose of beautification target image.After completing to the processing of target image, obtain
Corresponding first image information of target image that treated.Further the first image information of detection is similar to pre-set image information
Degree, wherein the content that can include by pre-set image information is compared one by one with the corresponding content in the first image information, when
For detecting certain letter contents in the first image information compared with pre-set image information corresponding part, biggish variation has occurred,
That is the similarity of this partial content and pre-set image information corresponding part in the first image information is lower, it is specific as similarity compared with
It is low to be less than first threshold, so that this partial content in the first image information is considered the exception generated in image processing process
Image information, and then abnormal image information is further processed, processing means are such as highlighted, are repaired.Wherein, it presets
Image information can be untreated target image information or common image template information etc., these image informations do not include different
Normal image information, can be used as examination criteria, be conducive to detect the abnormal phenomenon after image procossing.It can be seen based on the above process
Out, it is different from existing image processing method, the present embodiment also can be detected after handling target image because processed
The abnormal conditions occurred are spent, in order to which user checks in time, repairs exception in image, so that target image reaches more
Perfect effect.
It should be understood that the embodiment of the present invention in, radio frequency unit 101 can be used for receiving and sending messages or communication process in, signal
Send and receive, specifically, by from base station downlink data receive after, to processor 110 handle；In addition, by uplink
Data are sent to base station.In general, radio frequency unit 101 includes but is not limited to antenna, at least one amplifier, transceiver, coupling
Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 101 can also by wireless communication system and network and other set
Standby communication.
Mobile terminal provides wireless broadband internet by network module 102 for user and accesses, and such as user is helped to receive
It sends e-mails, browse webpage and access streaming video etc..
Audio output unit 103 can be received by radio frequency unit 101 or network module 102 or in memory 109
The audio data of storage is converted into audio signal and exports to be sound.Moreover, audio output unit 103 can also be provided and be moved
The relevant audio output of specific function that dynamic terminal 100 executes is (for example, call signal receives sound, message sink sound etc.
Deng).Audio output unit 103 includes loudspeaker, buzzer and receiver etc..
Input unit 104 is for receiving audio or video signal.Input unit 104 may include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the image data of the static images or video obtained in image capture mode by image capture apparatus (such as camera) carries out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or network module 102.Mike
Wind 1042 can receive sound, and can be audio data by such acoustic processing.Treated audio data can be
The format output that mobile communication base station can be sent to via radio frequency unit 101 is converted in the case where telephone calling model.
Mobile terminal 100 further includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, it can detect that size and the direction of gravity when static, can be used to identify mobile terminal posture (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap)；It passes
Sensor 105 can also include fingerprint sensor, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer, wet
Meter, thermometer, infrared sensor etc. are spent, details are not described herein.
Display unit 106 is for showing information input by user or being supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configure display panel 1061.
User input unit 107 can be used for receiving the number or character information of input, and generate the use with mobile terminal
Family setting and the related key signals input of function control.Specifically, user input unit 107 include touch panel 1071 and
Other input equipments 1072.Touch panel 1071, also referred to as touch screen collect the touch operation of user on it or nearby
(for example user uses any suitable objects or attachment such as finger, stylus on touch panel 1071 or in touch panel 1071
Neighbouring operation).Touch panel 1071 may include both touch detecting apparatus and touch controller.Wherein, touch detection
Device detects the touch orientation of user, and detects touch operation bring signal, transmits a signal to touch controller；Touch control
Device processed receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor 110, receiving area
It manages the order that device 110 is sent and is executed.Furthermore, it is possible to more using resistance-type, condenser type, infrared ray and surface acoustic wave etc.
Seed type realizes touch panel 1071.In addition to touch panel 1071, user input unit 107 can also include other input equipments
1072.Specifically, other input equipments 1072 can include but is not limited to physical keyboard, function key (such as volume control button,
Switch key etc.), trace ball, mouse, operating stick, details are not described herein.
Further, touch panel 1071 can be covered on display panel 1061, when touch panel 1071 is detected at it
On or near touch operation after, send processor 110 to determine the type of touch event, be followed by subsequent processing device 110 according to touching
The type for touching event provides corresponding visual output on display panel 1061.Although in fig. 8, touch panel 1071 and display
Panel 1061 is the function that outputs and inputs of realizing mobile terminal as two independent components, but in some embodiments
In, can be integrated by touch panel 1071 and display panel 1061 and realize the function that outputs and inputs of mobile terminal, it is specific this
Place is without limitation.
Interface unit 108 is the interface that external device (ED) is connect with mobile terminal 100.For example, external device (ED) may include having
Line or wireless head-band earphone port, external power supply (or battery charger) port, wired or wireless data port, storage card end
Mouth, port, the port audio input/output (I/O), video i/o port, earphone end for connecting the device with identification module
Mouthful etc..Interface unit 108 can be used for receiving the input (for example, data information, electric power etc.) from external device (ED) and
By one or more elements that the input received is transferred in mobile terminal 100 or can be used in 100 He of mobile terminal
Data are transmitted between external device (ED).
Memory 109 can be used for storing software program and various data.Memory 109 can mainly include storing program area
The storage data area and, wherein storing program area can (such as the sound of application program needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.；Storage data area can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 109 may include high-speed random access memory, it can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part by running or execute the software program and/or module that are stored in memory 109, and calls and is stored in storage
Data in device 109 execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.Place
Managing device 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Manage device, wherein the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
In addition, mobile terminal 100 includes some unshowned functional modules, details are not described herein.
Preferably, the embodiment of the present invention also provides a kind of mobile terminal, including processor 110, and memory 109 is stored in
On memory 109 and the computer program that can run on the processor 110, the computer program are executed by processor 110
Each process of the above-mentioned image processing method embodiment of Shi Shixian, and identical technical effect can be reached, to avoid repeating, here
It repeats no more.
The embodiment of the present invention also provides a kind of computer readable storage medium, and meter is stored on computer readable storage medium
Calculation machine program, the computer program realize each process of above-mentioned image processing method embodiment, and energy when being executed by processor
Reach identical technical effect, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium, such as only
Read memory (Read-Only Memory, abbreviation ROM), random access memory (RandomAccess Memory, abbreviation
RAM), magnetic or disk etc..
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form belongs within protection of the invention.
Claims (12)
1. a kind of image processing method characterized by comprising
Receive the first input for processing target image；
In response to first input, edit operation is carried out to the target image, obtains the first image information；
Obtain the abnormal image information for being less than first threshold in the first image information with the similarity of pre-set image information；
The abnormal image information is handled.
2. the method according to claim 1, wherein the reception is used for the first input of processing target image
Before, further includes:
Obtain the second image information of the target image；
It is described to obtain the abnormal image letter for being less than first threshold in the first image information with the similarity of pre-set image information
Breath, comprising:
Obtain the abnormal image letter for being less than second threshold in the first image information with the similarity of second image information
Breath.
3. according to the method described in claim 2, it is characterized in that, described handle the abnormal image information, comprising:
Show the abnormal image information flag in the first image information；
Receive the second input that user is used to choose the abnormal image information；
In response to second input, display acts on the operation of the historical compilation in the abnormal image information；
Receive the third input that user is used to adjust the historical compilation operation；
It is inputted in response to the third, the historical compilation operation acted in the abnormal image information is adjusted；
If detecting, the similarity of the abnormal image information and the second image information corresponding part is more than or equal to institute
Second threshold is stated, then cancels the display abnormal image information flag.
4. according to the method described in claim 2, it is characterized in that, described handle the abnormal image information, comprising:
Show the abnormal image information flag in the first image information；
Obtain the historical compilation operation acted in the abnormal image information；
The sequencing in the abnormal image information is acted on according to the historical compilation, the historical compilation is operated
It is adjusted；
If detecting, the similarity of the abnormal image information and the second image information corresponding part is more than or equal to institute
Second threshold is stated, then cancels the display abnormal image information flag.
5. according to the method described in claim 2, it is characterized in that, second image information for obtaining the target image,
Include:
Identify the main object for including in the target image；
Obtain the second attribute information of the main object；
It is described that the first image information is obtained to target image progress edit operation in response to first input, comprising:
In response to first input, edit operation is carried out to the target image, the target image that obtains that treated；
The main object in the target image after identifying processing；
Obtain the first attribute information of the main object；
It is described to obtain the Abnormal Map for being less than second threshold in the first image information with the similarity of second image information
As information, comprising:
If detecting in target property information and second attribute information in the first attribute information of the main object
The similarity of corresponding part is less than third threshold value, then the target property information is determined the abnormal image information.
6. according to the method described in claim 5, it is characterized in that, the attribute information of the main object includes at least the master
The characteristic parameter of the subordinate subobject of the identification code of body object, the characteristic parameter of the main object and the main object.
7. a kind of mobile terminal characterized by comprising
First input receiving module, for receiving the first input for being used for processing target image；
First input respond module, for carrying out edit operation to the target image, obtaining the in response to first input
One image information；
It is abnormal to obtain module, it is less than first threshold with the similarity of pre-set image information for obtaining in the first image information
Abnormal image information；
Exception processing module, for handling the abnormal image information.
8. mobile terminal according to claim 7, which is characterized in that the mobile terminal further include:
Raw image obtains module, for obtaining the second image information of the target image；
The exception obtains module
Abnormal acquiring unit is handled, is less than for obtaining the similarity in the first image information with second image information
The abnormal image information of second threshold.
9. mobile terminal according to claim 8, which is characterized in that the exception processing module includes:
First label display unit, for showing the abnormal image information flag in the first image information；
Second input receiving unit, for receiving user for choosing the second input of the abnormal image information；
Second input response unit, in response to second input, display to act on going through in the abnormal image information
History edit operation；
Third input receiving unit, for receiving user for adjusting the third input of the historical compilation operation；
Third inputs response unit, for inputting in response to the third, to the history acted in the abnormal image information
Edit operation is adjusted；
First label cancels unit, if for detecting the abnormal image information and the second image information corresponding part
Similarity is more than or equal to the second threshold, then cancels the display abnormal image information flag.
10. mobile terminal according to claim 8, which is characterized in that the exception processing module includes:
Second label display unit, for showing the abnormal image information flag in the first image information；
Acquiring unit is edited, for obtaining the historical compilation acted in the abnormal image information operation；
Adjustment unit is edited, for acting on the sequencing in the abnormal image information according to the historical compilation,
Historical compilation operation is adjusted；
Second label cancels unit, if for detecting the abnormal image information and the second image information corresponding part
Similarity is more than or equal to the second threshold, then cancels the display abnormal image information mark.
11. mobile terminal according to claim 8, which is characterized in that the raw image obtains module and includes:
Untreated main body recognition unit, the main object for including in the target image for identification；
Second attribute information acquiring unit, for obtaining the second attribute information of the main object；
Described first, which inputs respond module, includes:
Processing image obtains unit, for carrying out edit operation to the target image, obtaining everywhere in response to first input
The target image after reason；
Handle main body recognition unit, the main object in treated for identification target image；
First attribute information acquiring unit, for obtaining the first attribute information of the main object；
The abnormal acquiring unit of the processing includes:
Abnormal attribute determines subelement, if the target property information in the first attribute information for detecting the main object
It is less than third threshold value with the similarity of the corresponding part in second attribute information, then the target property information is determined into institute
State abnormal image information.
12. mobile terminal according to claim 11, which is characterized in that the attribute information of the main object includes at least
The feature of the subordinate subobject of the identification code of the main object, the characteristic parameter of the main object and the main object is joined
Number.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111107281A (en) * | 2019-12-30 | 2020-05-05 | 维沃移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and medium |
| CN111553854A (en) * | 2020-04-21 | 2020-08-18 | 维沃移动通信有限公司 | Image processing method and electronic equipment |
| CN112749614A (en) * | 2020-09-03 | 2021-05-04 | 腾讯科技（深圳）有限公司 | Multimedia content identification method and device, electronic equipment and storage medium |
| CN113039428A (en) * | 2019-04-02 | 2021-06-25 | 贝克顿·迪金森公司 | Compensation editor |
| CN114697547A (en) * | 2022-02-14 | 2022-07-01 | 上海奕瑞光电子科技股份有限公司 | Image diagnosis system and image risk processing method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537630A (en) * | 2015-01-22 | 2015-04-22 | 厦门美图之家科技有限公司 | Method and device for image beautifying based on age estimation |
| CN104834800A (en) * | 2015-06-03 | 2015-08-12 | 上海斐讯数据通信技术有限公司 | Beauty making-up method, system and device |
| CN104992402A (en) * | 2015-07-02 | 2015-10-21 | 广东欧珀移动通信有限公司 | Facial beautification processing method and device |
| CN105303523A (en) * | 2014-12-01 | 2016-02-03 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN107025629A (en) * | 2017-04-27 | 2017-08-08 | 维沃移动通信有限公司 | A kind of image processing method and mobile terminal |
| CN107485157A (en) * | 2017-09-20 | 2017-12-19 | 成都信息工程大学 | A kind of intelligent cosmetic mirror |
| US9864902B2 (en) * | 2014-07-29 | 2018-01-09 | Canon Kabushiki Kaisha | Apparatus and method of collating categories of images |
| CN108492246A (en) * | 2018-03-12 | 2018-09-04 | 维沃移动通信有限公司 | A kind of image processing method, device and mobile terminal |
-
2018
- 2018-10-30 CN CN201811279477.2A patent/CN109493294A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9864902B2 (en) * | 2014-07-29 | 2018-01-09 | Canon Kabushiki Kaisha | Apparatus and method of collating categories of images |
| CN105303523A (en) * | 2014-12-01 | 2016-02-03 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN104537630A (en) * | 2015-01-22 | 2015-04-22 | 厦门美图之家科技有限公司 | Method and device for image beautifying based on age estimation |
| CN104834800A (en) * | 2015-06-03 | 2015-08-12 | 上海斐讯数据通信技术有限公司 | Beauty making-up method, system and device |
| CN104992402A (en) * | 2015-07-02 | 2015-10-21 | 广东欧珀移动通信有限公司 | Facial beautification processing method and device |
| CN107025629A (en) * | 2017-04-27 | 2017-08-08 | 维沃移动通信有限公司 | A kind of image processing method and mobile terminal |
| CN107485157A (en) * | 2017-09-20 | 2017-12-19 | 成都信息工程大学 | A kind of intelligent cosmetic mirror |
| CN108492246A (en) * | 2018-03-12 | 2018-09-04 | 维沃移动通信有限公司 | A kind of image processing method, device and mobile terminal |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113039428A (en) * | 2019-04-02 | 2021-06-25 | 贝克顿·迪金森公司 | Compensation editor |
| CN111107281A (en) * | 2019-12-30 | 2020-05-05 | 维沃移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and medium |
| CN111107281B (en) * | 2019-12-30 | 2022-04-12 | 维沃移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and medium |
| CN111553854A (en) * | 2020-04-21 | 2020-08-18 | 维沃移动通信有限公司 | Image processing method and electronic equipment |
| CN112749614A (en) * | 2020-09-03 | 2021-05-04 | 腾讯科技（深圳）有限公司 | Multimedia content identification method and device, electronic equipment and storage medium |
| CN114697547A (en) * | 2022-02-14 | 2022-07-01 | 上海奕瑞光电子科技股份有限公司 | Image diagnosis system and image risk processing method |
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