CN110363729A - A kind of image processing method, terminal device and computer readable storage medium - Google Patents
A kind of image processing method, terminal device and computer readable storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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Abstract
The present invention relates to technical field of image processing, a kind of image processing method, terminal device and computer readable storage medium are provided, to solve the problems, such as that picture quality is bad during taking pictures.This method comprises: obtaining the first image that camera is acquired with the first acquisition parameter;Identify the first shadow region in the first image, corresponding first object in the first shadow region;The first shadow region in first image is handled to obtain the second image;Obtain third image that camera is acquired with N number of acquisition parameter and with the second images match;Determine target image based on N number of third image, the second shadow region in target image is corresponding with the first image and area less than the first shadow region area.Since target image is not only with the second images match, content of shooting can be accurately embodied, and the area of the second shadow region, less than the area of the first shadow region, shaded area reduces, shaded area and accurate embodiment content of shooting can be reduced.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of image processing methods, terminal device and computer
Readable storage medium storing program for executing.
Background technique
With the fast development of computer technology, terminal function is stronger and stronger, and terminal device can provide each side
The service in face, for people's lives with work etc. provide convenience.For example, taking pictures is the common service of terminal device offer, user
It can be taken pictures by terminal device.
Currently, terminal device is easy to have on target object during being taken pictures by terminal device to target object
Projection, then the image of camera shooting can have shade, by mobile terminal device, make yin of the terminal device on target object
Shadow area reduces, but is easy the image for shooting camera and is not inconsistent with expection, that is, the image shot can not accurately embody shooting
Content.For example, it is contemplated that needing photographic subjects object, the coverage of terminal device can be changed during mobile terminal device,
Make to shoot obtained image and can not accurately embody content of shooting.
Summary of the invention
The embodiment of the present invention provides a kind of image processing method, terminal device and computer readable storage medium, to solve
The image of prior art camera shooting can not meet simultaneously reduces shaded area and accurate the problem of embodying content of shooting.
In order to solve the above-mentioned technical problem, the present invention is implemented as follows:
In a first aspect, being set the embodiment of the invention provides a kind of image processing method applied to the terminal for including camera
Standby, method includes:
Obtain the first image that the camera is acquired with the first acquisition parameter;
Identify the first shadow region in the first image, corresponding first object in first shadow region;
The first shadow region in the first image is handled, the second image is obtained;
Obtain third image that the camera is acquired with N number of acquisition parameter and with second images match, the N
For positive integer;
Target image is determined based on N number of third image;
Wherein, the area of the second shadow region in the target image is less than the area of first shadow region, institute
It states the second shadow region and corresponds to first object.
Second aspect, the embodiment of the present invention also provide a kind of terminal device, including camera, which is characterized in that the end
End equipment includes:
First image collection module, the first image acquired for obtaining the camera with the first acquisition parameter;
First shade determining module, for identification the first shadow region in the first image, first shadow region pair
Answer the first object;
Shadows Processing module obtains the second image for handling the first shadow region in the first image;
Third image collection module, for obtain it is that the camera is acquired with N number of acquisition parameter and with second figure
As matched third image, the N is positive integer;
Target image determining module, for determining target image based on N number of third image;
Wherein, the area of the second shadow region in the target image is less than the area of first shadow region, institute
It states the second shadow region and corresponds to first object.
The third aspect, the embodiment of the present invention also provide a kind of terminal device, comprising: memory and processor, memory are deposited
Computer program is contained, processor realizes the step in image processing method provided in an embodiment of the present invention when executing computer program
Suddenly.
Fourth aspect, the embodiment of the present invention also provide a kind of computer readable storage medium, computer readable storage medium
Upper storage computer program, is realized when computer program is executed by processor in image processing method provided in an embodiment of the present invention
The step of.
In image processing method provided by the embodiments of the present application, first acquisition camera acquired with the first acquisition parameter the
One image, and identify the first shadow region in the first image, then the first shadow region in the first image is handled, is obtained
To the second image, then it is being acquired based on camera with N number of acquisition parameter with the second images match N number of third image, determine mesh
Logo image.Since target image is not only with the second images match, content of shooting, and the first image corresponding can be accurately embodied
The area of two shadow regions is less than the area of the first shadow region, and obtained target image is relative to the first image, shadow surface
Product reduces, i.e., the target image obtained by image processing method provided by the embodiments of the present application can reduce shaded area simultaneously
Content of shooting is embodied with accurate.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, needed in being described below to the embodiment of the present invention
Attached drawing to be used is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention,
For those of ordinary skill in the art, without any creative labor, it can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is one of the flow chart of image processing method provided in an embodiment of the present invention;
Fig. 2 is the structure chart of terminal device provided in an embodiment of the present invention;
Fig. 3 is the two of the flow chart of image processing method provided in an embodiment of the present invention;
Fig. 4 is the application scenario diagram of image processing method provided in an embodiment of the present invention;
Fig. 5 is one of the schematic diagram of terminal device provided in an embodiment of the present invention;
Fig. 6 is the hardware structural diagram of terminal device provided in an 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, in one embodiment, a kind of image procossing is provided, applied to the terminal device including camera,
Method includes:
Step 101: obtaining the first image that camera is acquired with the first acquisition parameter.
Different acquisition parameters, the range of camera acquisition and the content of acquisition are not quite similar, for example, in an example
In, the first acquisition parameter may include first angle and first position, different angles or/and different positions, collected
Image is not quite similar, it will be understood that first angle is the first angle of camera, and first position is that camera is set relative to terminal
The first position of standby main body.In embodiment, it advances with camera and carries out Image Acquisition under the first acquisition parameter, determine
First image, it is subsequent in carrying out image processing process, obtain first image.It is appreciated that the first image is to be expected
Image, i.e. content in the first image are the content shot needed for user is expected.
Step 102: the first shadow region in the first image of identification.
Wherein, corresponding first object in the first shadow region, in order to collect the content shot needed for expected including user,
It is acquired under the first acquisition parameter in the first image that image obtains, it is possible that shade, to need to the first figure
As carrying out Shadow recognition, i.e., Shadow recognition is carried out to the first image using Shadow recognition algorithm, determine that the first object is corresponding
First shadow region.For example, the first object can carry out figure to target object for the camera of the first image of shooting, camera
As generating shade on target object, then the first image acquired can generate the corresponding shade of camera, then may be used in collection process
Shadow recognition is carried out to the first image, determines corresponding first shadow region of camera.In another example the first object can be shooting
The terminal device of first image is carried out in image acquisition process using the camera of terminal device to target object, and terminal is set
Standby that shade is generated on target object, then the first image acquired can generate the corresponding shade of terminal device, then can be to the first figure
As carrying out Shadow recognition, corresponding first shadow region of terminal device is determined.
Step 103: the first shadow region in the first image being handled, the second image is obtained.
After determining the first shadow region, image procossing can be carried out to the first shade in the first image, obtain the second figure
Picture, it is subsequent during carrying out images match, using corresponding second image of the first image.
Step 104: obtaining third image that camera is acquired with N number of acquisition parameter and with the second images match.
Wherein, N is positive integer.In shooting process, camera can control to acquire third figure under different acquisition parameters
Picture, third image and acquisition parameter correspond, the N number of third image acquired under N number of acquisition parameter with the second image.
In one example, that is, in shooting process third image can carry out figure for preview image in the screen of terminal device
As preview, i.e. the image is preview image.
Step 105: target image is determined based on N number of third image.
Wherein, in target image the second shadow region area of the area less than the first shadow region, the second shadow region
Corresponding first object.
Target image is an image in N number of third image, and the second images match, and the second shade in target image
The area in region reduces less than the area of the first shadow region, i.e. realization shaded area.
In image processing method provided by the embodiments of the present application, first acquisition camera acquired with the first acquisition parameter the
One image, and identify the first shadow region in the first image, then the first shadow region in the first image is handled, is obtained
To the second image, then it is being acquired based on camera with N number of acquisition parameter with the second images match N number of third image, determine mesh
Logo image.Since target image is not only with the second images match, content of shooting, and the first image corresponding can be accurately embodied
The area of two shadow regions is less than the area of the first shadow region, and obtained target image is relative to the first image, shadow surface
Product reduces, i.e., the target image obtained by image processing method provided by the embodiments of the present application can reduce shaded area simultaneously
Content of shooting is embodied with accurate.
In the embodiment of the present invention, above-mentioned terminal device can include but is not limited to mobile phone, tablet computer (Tablet
Personal Computer), laptop computer (Laptop Computer), personal digital assistant (personal digital
Assistant, abbreviation PDA), mobile Internet access terminal device (Mobile Internet Device, MID) or wearable device
(Wearable Device) etc..
In one embodiment, acquisition parameter includes angle and position.Angle is the angle of camera, and position is camera shooting
Position of the head relative to the main body (terminal device includes main body and the camera for being installed on main body) of terminal device.It is whole such as Fig. 2
End equipment includes camera 201, the first rotatable joint 202, the second rotatable joint 203, telescopic rod 204 and main body 205, is taken the photograph
As first 201 are installed on one end of telescopic rod 204 by the first rotatable joint 202, the other end of telescopic rod 204 can by second
Rotary joint 203 is installed on main body 205.In this way, camera 201 can be rotated under the action of the first rotatable joint 202,
To change angle.In addition, telescopic rod 204 can carry out the movement far from or close to main body 205 relative to main body 205, to change
Become the position of camera 201, and under the action of the second rotatable joint 203, telescopic rod 204 can be rotated relative to main body 205, together
The position of camera 201 can be changed in sample.By the adjustment of angle or position, the range that camera 201 acquires changes, then acquires
Image is different.
In one embodiment, target image is the smallest third figure of area of the second shadow region in N number of third image
Picture.
The smallest third image of area of determining second shadow region is as target image i.e. from N number of third image, i.e.,
The area of corresponding second shadow region of the first object is minimum in the target image that can ensure that, further decreases the first object
Shaded area, improve the quality of target image.
In one embodiment, third figure that camera is acquired with N number of acquisition parameter and with the second images match is obtained
Picture, comprising: calculate separately the similarity of the second image Yu M preview image, M >=N, M preview image is that camera is adopted with M
Collect the preview image of parameter acquisition;Obtain N number of third image that similarity in M preview image is greater than default similarity threshold.
I.e. in the present embodiment, referring to Fig. 3, providing a kind of image processing method, applied to the terminal device including camera, method
Include:
Step 301: obtaining the first image that camera is acquired with the first acquisition parameter.
Step 302: the first shadow region in the first image of identification, corresponding first object in the first shadow region.
Step 303: the first shadow region in the first image being handled, the second image is obtained.
Above-mentioned steps 301- step 303 and above-mentioned steps 102- step 103 correspond, and details are not described herein.
Step 304: calculating separately the similarity of the second image Yu M preview image.
Wherein, M >=N, M preview images are the preview image that camera is acquired with M acquisition parameter, preview image with adopt
Collect parameter to correspond, i.e. the corresponding acquisition parameter of every preview image.That is control camera rotation, distinguish camera can
Image is acquired under M acquisition parameter and carries out preview, can acquire M preview image.Then the second image can be calculated separately
M similarity can then be calculated due to there is M preview image with the similarity of M preview image.Similarity can indicate to scheme
Similarity degree as between, similarity are higher, it is possible to understand that the content between image is closer.Since image can be expressed as one
The pixel matrix of image can be expressed as a vector in one example by a pixel matrix, by calculate image to
The COS distance of amount obtains the similarity between image.
Step 305: obtaining N number of third image that similarity in M preview image is greater than default similarity threshold.
It, can be according to similarity from M preview image after the similarity of the second image and M preview image is calculated
Determine N number of third image.Specifically, default similarity threshold will be greater than in M preview image with the similarity of the second image
Preview image is as third image, it can be ensured that and the similarity between third image and the second image is greater than default similarity threshold,
It is more nearly third image with the second image, third image is made more accurately to embody content of shooting, and then be subsequent determination
Target image provides safeguard, and determining target image is made to be more nearly the second image, even if target image more accurately embodies
Content of shooting.
Step 306: target image is determined based on N number of third image.
Wherein, N number of third image is the image that is acquired with N number of acquisition parameter of camera, and with the second images match, target
For the area of the second shadow region in image less than the area of the first shadow region, N is positive integer, the second shadow region corresponding the
An object.
Above-mentioned steps 306 are corresponding with above-mentioned steps 105, and details are not described herein.
In one embodiment, the second image includes T sub-image area, and T is the integer greater than 1;
In the present embodiment, the similarity of the second image Yu M preview image is calculated separately, comprising:
I-th preview image collected for camera, determine in i-th preview image with each sub-image area pair
The first subregion answered;
Wherein, position coordinates of the sub-image area in the first image are with corresponding first subregion in i-th preview graph
The distance between position coordinates as in are less than or equal to pre-determined distance, and I is integer and I≤M, i-th preview image and i-th
Acquisition parameter is corresponding;
Calculate the similarity of each sub-image area with the first subregion corresponding in i-th preview image;
Wherein, the similarity of the second image and i-th preview image includes each sub-image area and I in the second image
The similarity of corresponding first subregion in a preview image.
In the present embodiment, N number of third image that similarity in M preview image is greater than default similarity threshold is obtained,
Include:
N number of third image is obtained from M preview image, wherein each sub-image area and third figure in the second image
The similarity of corresponding first subregion is greater than default similarity threshold as in.
Camera rotation or mobile is controlled, angle or the position of camera can be changed, adopted even if camera is in different
Collect parameter and carries out Image Acquisition.Preview image is acquired under M acquisition parameter using camera, under each acquisition parameter,
Camera acquires corresponding preview image.In the present embodiment, often collect a preview image, can calculate the second image with
The similarity of the preview image currently acquired, until the acquisition of m-th preview image finishes, to the second image and m-th preview graph
The similarity calculation of picture finishes, then the similarity of the second image and M preview image can be obtained.
I.e. during the similarity of the second image of the calculating of the present embodiment and M preview image, currently adopted in camera
In the case where collecting i-th preview image, the second image can be calculated and the i-th preview image carries out the calculating of similarity.
Specifically, since the second image includes T sub-image area, each sub-image area and i-th preview image can be subjected to phase
It is compared like degree, i.e., calculates the first sub-district corresponding with sub-image area in each sub-image area and i-th preview image first
The similarity in domain.In this way, the first sub-district corresponding with sub-image area in each sub-image area and M preview image can be obtained
Then the similarity in domain can be greater than pre- from the similarity with each sub-image area in the second image determining in M preview image
If N number of third image of similarity threshold, i.e. corresponding first in each sub-image area and third image in the second image
The similarity of subregion is greater than default similarity threshold.
Moreover, position coordinates of the sub-image area in the first image are with corresponding first subregion in i-th preview graph
The distance between position coordinates as in are less than or equal to pre-determined distance, so, it can be ensured that sub-image area and i-th preview graph
Subregion as near the corresponding position coordinates in the sub-image area carries out similarity calculation, improves the standard of similarity calculation
True property.For example, pre-determined distance can be 0, then position coordinates of the sub-image area in the first image and corresponding first sub-district
Position coordinates of the domain in i-th preview image are identical.In another example pre-determined distance can be 2, it is ensured that be closer, then subgraph
As region position coordinates of the position coordinates with corresponding first subregion in i-th preview image in the first image away from
From less than 2.
In one example, position coordinates of the sub-image area in the first image are with corresponding first subregion in I
The distance between position coordinates in a preview image are less than or equal to pre-determined distance, it can be understood as, the in sub-image area
One pixel the position coordinates in the first image with the second pixel in corresponding first subregion in i-th preview image
The distance between position coordinates be less than or equal to pre-determined distance, the first pixel can be any one in sub-image area
Pixel, position coordinates position coordinates phase with second pixel in first subregion of first pixel in sub-image area
Together.For example, the pixel matrix AI of i-th preview image isThe pixel of first image
Value matrix B isThe pixel matrix B1 of one sub-image area isSubgraph
As the pixel matrix of corresponding first subregion in region isIf selecting the first pixel for B23,
Its position coordinates in sub-image area is (1,1), then the second pixel is AI23, the coordinate bit in the first subregion
It is set to (1,1), is that its position coordinates in sub-image area of B23 are identical with above-mentioned first pixel.First pixel B23 exists
The position coordinates of first image are (2,3) and the second pixel AI23 between the coordinate position (2,3) in i-th preview image
Distance be 0.The pixel matrix of another corresponding the first subregion of sub-image area isThen second
Pixel is AI33, the coordinate position in the first subregion be (1,1), with above-mentioned first pixel be B23 its in subgraph
As the position coordinates in region are identical.First pixel B23 is (2,3) and the second pixel in the position coordinates of the first image
The distance between the coordinate position (3,3) of AI33 in i-th preview image is 1.
In one example, the quantity of corresponding first subregion in each sub-image area can be at least two, then often
At least there are two the first subregions for a sub-image area and i-th preview image, are corresponding with a similarity, i.e., each subgraph
As region corresponds at least two similarities, similarity and the first subregion one-to-one correspondence, the second similarity and first object from figure
As region corresponds.
In one example, each sub-image area and the of the first subregion corresponding in third image in the second image
One similarity is greater than default similarity threshold.The similarity of second image and i-th preview image includes each in the second image
Corresponding first similarity in sub-image area, the first similarity are the phase of sub-image area and corresponding at least two first area
Like the maximum value in degree.For example, sub-image area A corresponds to two similarities, respectively similarity S1 and similarity S2, S1 > S2,
Then the first similarity of sub-image area A is S1, then the similarity of the second image and i-th preview image includes similarity S1.
In this way, each sub-image area for the second image proceeds as described above, then it can determine the second image and i-th preview image
Similarity include corresponding first similarity in each sub-image area in the second image.
In the present embodiment, corresponding first similarity in each sub-image area is greater than default similarity in the second image
In the case where threshold value, the second image is matched with preview image, thus, it can be filtered out from M preview image and the second image
The N number of third image matched.In the present embodiment, each sub-image area and i-th preview image are subjected to similarity calculation, sieve
N number of third image of choosing is that the first similarity corresponding with sub-image area each in the second image is greater than in M preview image
The preview image of default similarity threshold, is more nearly third image with the second image, makes third image more accurately body
Existing content of shooting, and then provided safeguard for subsequent determining target image, so that determining target image is more nearly the second image, i.e.,
Target image is set more accurately to embody content of shooting.
In one embodiment, the first shadow region in the first image is handled, obtains the second image, comprising:
Region division is carried out to the first image, obtains P sub-image area;It will be corresponding with the first shadow region in P sub-image area
Subregion filtering, obtain T sub-image area.
I.e. by carrying out region division to the first image, it will wherein cross subregion corresponding with the first shadow region, obtain
To T sub-image area to get to the second image.It can be used for subsequent similarity calculation process, subregion carries out similarity meter
It calculates, the accuracy of similarity can be improved.
In one embodiment, the mode of the similarity of the second image and M preview image is calculated separately, comprising: respectively
The similarity for calculating the second target sub-image area and the third target sub-image area of M preview image in the second image, obtains
To the similarity of the second image and M preview image, wherein the second target sub-image area is to remove the first shade in the second image
Other regions outside region, position coordinates of the second target sub-image area in the second image and third target sub-image area
Position coordinates in preview image are identical, and the area phase of the second target sub-image area and third target sub-image area
Together.
That is the calculating that the first shadow region is not involved in similarity is no longer divided into multiple subregions and carries out similarity calculation,
But the third target sub-image area in other regions and preview image in the second image of calculating in addition to the first shadow region
Similarity can reduce calculation amount, improve the efficiency for determining target image.
In one embodiment, Attribute tuning is carried out to the first shadow region in the first image, obtains the second image, the
First area is transparent in two images, and first area is in the position and position of first shadow region in the first image in the second image
It sets identical.
Can becoming transparent with the region of the first shadow region in the second image, during subsequent calculating similarity,
Transparent region in second image is not involved in, and reduces calculation amount.
It is illustrated below with process of the specific embodiment to above-mentioned image processing method.
By taking the first object is camera as an example.Subject (target object) is laid in desktop, and camera is in and is clapped
It takes the photograph above object, the file of desktop is laid in as shot.In the angle, camera first shoots first image, can be described as pre-
Phase figure.Have the shade that camera is cast under bright light on subject, i.e. there are the shades of camera in the first image.
Wherein, can be by the first rotatable joint 202, the first rotatable joint 203 and the telescopic rod 204 in Fig. 2, it can
Position and angle to adjust camera 201, so as to adjust camera 201.It can be by 201 position of dollying head, in conjunction with pre-
It lookes at the variation of shade in image, can substantially confirm the dash area of camera 201 in the first image.
Then expected figure can be handled, in conjunction with Shadow recognition algorithm, the first shadow region of camera is found out, by the first shade
Region part is removed, and obtains new expection figure to get to the second image, it is subsequent carry out it is matched during using the second image into
Row matching, as long as the similarity satisfaction of the part and these parts that can be matched in the second image in preview image is wanted
It asks, is considered as the preview image and meets the requirements.
If including T sub-image area it may require that every picture can image if the second image includes plurality of pictures
The region that similarity is greater than default similarity threshold is matched in the preview image of head.If it is a picture, then the first shade
Part is without comparison.
By the first rotatable joint 202, the first rotatable joint 203 and the telescopic rod 204 in Fig. 2, in conjunction with image
Between similarity compare, camera adjust automatically angles and positions, so that preview image is to greatest extent close to the second image, most
Finding suitable position and angle eventually keeps the shaded area of preview image minimum and is greater than default phase with the similarity of the second image
Like degree threshold value.Then the preview image is determined as target image, realizes the shooting of image.It, can and after obtaining target image
The first image and the second image are deleted, storage pressure is reduced.
For example, camera has on shadow-casting to file when shooting file under light, file is caused to exist very big by one
Piece shade can make file while photographing expected content (i.e. with the first images match) by mobile and rotating camera
On the shade of camera reach minimum.Method through this embodiment can reduce photo while not influencing image effect
The area of middle shade.
As shown in figure 4, by taking the first object is terminal device 400 as an example.Subject 401 (target object) is laid in table
Face, terminal device 400 are in 401 top of subject, the file of desktop are laid in as shot.In the angle and position
(state 1 in Fig. 4), the camera 402 in terminal device 400 first shoot first image, can be described as expected figure.Bright light
Have the shade that terminal device 400 is cast under line on subject, i.e. there are the shades of terminal device 400 in the first image.
Then expected figure can be handled, in conjunction with Shadow recognition algorithm, finds out the first shadow region of terminal device 400, by
One shadow region part is removed, and obtains new expection figure to get to the second image, utilizes second during subsequent progress is matched
Image is matched, as long as the similarity of the part and these parts that can be matched in preview image in the second image is full
Foot requires, and is considered as the preview image and meets the requirements.
If including T sub-image area it may require that every picture can image if the second image includes plurality of pictures
The region that similarity is greater than default similarity threshold is matched in first 402 preview image.If it is a picture, then first is negative
Shadow part is without comparison.
First direction can be popped up in screen, and (from the first side of terminal device to the direction of second side, the first side sets for terminal
The side of standby 400 installation cameras 402, the first side are opposite with second side) prompt, prompting mobile terminal equipment 400, up to working as
The preview image shadow-free of preceding camera 402.Preview image and the second image difference are larger at this time.
By the first rotatable joint, the second rotatable joint and telescopic rod of terminal device 400, in conjunction between image
Similarity compares, 402 adjust automatically angles and positions of camera, so that preview image is to greatest extent close to the second image, finally
Find suitable position and angle keep the shaded area of preview image minimum and be greater than to the similarity of the second image preset it is similar
Threshold value is spent, such as the state 2 in Fig. 4.Then the preview image is determined as target image, realizes the shooting of image.And it is obtaining
After target image, the first image and the second image can be deleted, reduces storage pressure.
Such as: when shooting file under light, terminal device 400, which has itself, greatly to be projected on file, is led
The file content photographed can be made if depending merely on mobile terminal device 400 adjusts shaded area by causing file to there is very big a piece of shade
It is huge with flat bat difference.By control stretching and rotating camera, the yin on file can be made while photographing expected content
Shadow maximum only has the size of camera, can also further decrease shaded area by adjusting camera angle.By this implementation
The method that example provides can reduce the area of shade in image while not influencing image effect.
As shown in figure 5, the present invention also provides the terminal device 500 of one embodiment, including camera, terminal device packet
It includes:
First image collection module 501, the first image acquired for obtaining camera with the first acquisition parameter;
First shade determining module 502, the first shadow region in the first image, the first shadow region are corresponding for identification
First object;
Shadows Processing module 503 obtains the second image for handling the first shadow region in the first image;
Third image collection module 504, for obtain it is that camera is acquired with N number of acquisition parameter and with the second images match
Third image, N is positive integer;
Target image determining module 505, for determining target image based on N number of third image;
Wherein, area of the area of the second shadow region in target image less than the first shadow region, the second shadow region
Domain corresponds to the first object.
In one embodiment, acquisition parameter includes angle and position.
In one embodiment, target image is the smallest third figure of area of the second shadow region in N number of third image
Picture.
In one embodiment, third image collection module further include:
Similarity calculation module, for calculating separately the similarity of the second image Yu M preview image, M >=N, M preview
Image is the preview image that camera is acquired with M acquisition parameter;
Third image determining module, be greater than default similarity threshold for obtaining similarity in M preview image N number of the
Three images.
In one embodiment, the second image includes T sub-image area, and T is the integer greater than 1;
Similarity calculation module, comprising:
First subregion determining module is used for i-th preview image collected for camera, determines i-th preview
The first subregion corresponding with each sub-image area in image, wherein position coordinates of the sub-image area in the first image
It is less than or equal to pre-determined distance at a distance from corresponding first subregion is between the position coordinates in i-th preview image, I is
Integer and I≤M, i-th preview image are corresponding with i-th acquisition parameter;
First similarity calculation module, for calculating each sub-image area and in i-th preview image corresponding first
The similarity of subregion, wherein the similarity of the second image and i-th preview image includes each sub-image regions in the second image
The similarity in domain and the first subregion corresponding in i-th preview image.
In the present embodiment, third image collection module, for obtaining N number of third image from M preview image,
In, each sub-image area is greater than default similarity with the similarity of the first subregion corresponding in third image in the second image
Threshold value.
In one embodiment, Shadows Processing module, comprising:
Region division module obtains P sub-image area for carrying out region division to the first image;
Filtering module obtains T for filtering subregion corresponding with the first shadow region in P sub-image area
Sub-image area.
In one embodiment, similarity calculation module, for calculating separately the second target sub-image regions in the second image
It is similar to M preview image to obtain the second image for the similarity of the third target sub-image area of domain and M preview image
Degree;
Wherein, the second target sub-image area is other regions in the second image in addition to the first shadow region, the second mesh
Mark position coordinates and third target sub-image area position coordinates in preview image of the sub-image area in the second image
It is identical, and the second target sub-image area is identical as the area of third target sub-image area.
The technical characteristic in technical characteristic and above-mentioned image processing method in terminal device provided in an embodiment of the present invention
It is corresponding, each process of above-mentioned image processing method is realized by terminal device, and identical effect can be obtained, to avoid weight
Multiple, details are not described herein.
A kind of hardware structural diagram of Fig. 6 terminal device of each embodiment to realize the present invention, the terminal device 600
Including but not limited to: radio frequency unit 601, audio output unit 603, input unit 604, sensor 606, is shown network module 602
Show the components such as unit 606, user input unit 607, interface unit 608, memory 609, processor 610 and power supply 611.
It will be understood by those skilled in the art that terminal device structure shown in Fig. 6 does not constitute the restriction to terminal device, terminal is set
Standby may include perhaps combining certain components or different component layouts than illustrating more or fewer components.In the present invention
In embodiment, terminal device include but is not limited to mobile phone, tablet computer, laptop, palm PC, vehicle mobile terminals,
Wearable device and pedometer etc..
Wherein, processor 610, the first image acquired for obtaining camera with the first acquisition parameter;Identify the first figure
The first shadow region as in, corresponding first object in the first shadow region;
The first shadow region in first image is handled, the second image is obtained;Camera is obtained to join with N number of acquisition
Third image that number acquires and with the second images match, N is positive integer;Target image is determined based on N number of third image;Its
In, area of the area less than the first shadow region of the second shadow region in target image, the second shadow region corresponding first
Object.
Since target image is not only with the second images match, content of shooting can be accurately embodied, and in target image
The area of second shadow region less than the first shadow region area, shaded area reduce, i.e., mentioned by the embodiment of the present application
The terminal device of confession can reduce shaded area and accurate embodiment content of shooting in carrying out image processing process simultaneously.
It should be understood that the embodiment of the present invention in, radio frequency unit 601 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 610 handle;In addition, by uplink
Data are sent to base station.In general, radio frequency unit 601 includes but is not limited to antenna, at least one amplifier, transceiver, coupling
Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 601 can also by wireless communication system and network and other set
Standby communication.
Terminal device provides wireless broadband internet by network module 602 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 603 can be received by radio frequency unit 601 or network module 602 or in memory 609
The audio data of storage is converted into audio signal and exports to be sound.Moreover, audio output unit 603 can also provide and end
The relevant audio output of specific function that end equipment 600 executes is (for example, call signal receives sound, message sink sound etc.
Deng).Audio output unit 603 includes loudspeaker, buzzer and receiver etc..
Input unit 604 is for receiving audio or video signal.Input unit 604 may include graphics processor
(Graphics Processing Unit, GPU) 6041 and microphone 6042, graphics processor 6041 is in video acquisition mode
In image capture mode by image capture terminal device (such as camera) obtain static images or video image data into
Row processing.Treated, and picture frame may be displayed on display unit 606.Through graphics processor 6041, treated that picture frame can
To be stored in memory 609 (or other storage mediums) or be sent via radio frequency unit 601 or network module 602.
Microphone 6042 can receive sound, and can be audio data by such acoustic processing.Treated, and audio data can
To be converted to the format output that can be sent to mobile communication base station via radio frequency unit 601 in the case where telephone calling model.
Terminal device 600 further includes at least one sensor 606, 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 6091, and proximity sensor can close when terminal device 600 is moved in one's ear
Display panel 6091 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 terminal device posture (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap);It passes
Sensor 606 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 606 is for showing information input by user or being supplied to the information of user.Display unit 606 can wrap
Display panel 6061 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 6061.
User input unit 607 can be used for receiving the number or character information of input, and generate the use with terminal device
Family setting and the related key signals input of function control.Specifically, user input unit 607 include touch panel 6071 and
Other input equipments 6072.Touch panel 6071, 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 6071 or in touch panel 6071
Neighbouring operation).Touch panel 6071 may include two parts of touch detection terminal device and touch controller.Wherein, it touches
The touch orientation of terminal device detection user is detected, and detects touch operation bring signal, transmits a signal to touch control
Device;Touch controller receives touch information from touch detection terminal device, and is converted into contact coordinate, then gives processing
Device 610 receives the order that processor 610 is sent and is executed.Furthermore, it is possible to using resistance-type, condenser type, infrared ray and
The multiple types such as surface acoustic wave realize touch panel 6071.In addition to touch panel 6071, user input unit 607 can also include
Other input equipments 6072.Specifically, other input equipments 6072 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 6071 can be covered on display panel 6061, when touch panel 6071 is detected at it
On or near touch operation after, send processor 610 to determine the type of touch event, be followed by subsequent processing device 610 according to touching
The type for touching event provides corresponding visual output on display panel 6061.Although in Fig. 6, touch panel 6071 and display
Panel 6061 is the function that outputs and inputs of realizing terminal device as two independent components, but in some embodiments
In, can be integrated by touch panel 6071 and display panel 6061 and realize the function that outputs and inputs of terminal device, it is specific this
Place is without limitation.
Interface unit 608 is the interface that exterior terminal equipment is connect with terminal device 600.For example, exterior terminal equipment can
With include wired or wireless head-band earphone port, external power supply (or battery charger) port, wired or wireless data port,
Memory card port, port, the port audio input/output (I/O), video I/ for connecting the terminal device with identification module
O port, ear port etc..Interface unit 608 can be used for receiving the input from exterior terminal equipment (for example, data are believed
Breath, electric power etc.) and by one or more elements that the input received is transferred in terminal device 600 or can be used for
Data are transmitted between terminal device 600 and exterior terminal equipment.
Memory 609 can be used for storing software program and various data.Memory 609 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 609 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 610 is the control centre of terminal device, utilizes each of various interfaces and the entire terminal device of connection
A part by running or execute the software program and/or module that are stored in memory 609, and calls and is stored in storage
Data in device 609 execute the various functions and processing data of terminal device, to carry out integral monitoring to terminal device.Place
Managing device 610 may include one or more processing units;Preferably, processor 610 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 610.
Terminal device 600 can also include the power supply 611 (such as battery) powered to all parts, it is preferred that power supply 611
Can be logically contiguous by power-supply management system and processor 610, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
In addition, terminal device 600 includes some unshowned functional modules, details are not described herein.
The embodiment of the present invention also provides a kind of terminal device, including processor 610 and memory 609, and memory 609 stores
There is the computer program that can be run on processor 610, which realizes at above-mentioned image when being executed by processor 610
Each process in embodiment of the method is managed, and identical technical effect can be reached, to avoid repeating, which is not described herein again.
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, computer readable storage medium is deposited Ru read-only
Reservoir (Read-Only Memory, abbreviation ROM), random access memory (Random Access 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 including that process, method, article or the terminal device of a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or terminal
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in process, method, article or the terminal device for including the element.
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 device (can be mobile phone, computer, clothes
Be engaged in device, air conditioner or the network equipment etc.) method that executes each embodiment of the present invention.
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
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 (14)
1. a kind of image processing method, applied to the terminal device including camera, which is characterized in that the described method includes:
Obtain the first image that the camera is acquired with the first acquisition parameter;
Identify the first shadow region in the first image, corresponding first object in first shadow region;
The first shadow region in the first image is handled, the second image is obtained;
Third image that the camera is acquired with N number of acquisition parameter and with second images match is obtained, the N is positive
Integer;
Target image is determined based on N number of third image;
Wherein, the area of the second shadow region in the target image is less than the area of first shadow region, and described the
Two shadow regions correspond to first object.
2. the method according to claim 1, wherein the acquisition camera is acquired with N number of acquisition parameter
And third image with second images match, comprising:
The similarity of second image and M preview image, M >=N are calculated separately, the M preview image is the camera shooting
The preview image that head is acquired with M acquisition parameter;
Obtain N number of third image that similarity in the M preview image is greater than default similarity threshold.
3. according to the method described in claim 2, it is characterized in that, second image includes T sub-image area, the T
For the integer greater than 1;
Calculate separately the similarity of second image Yu the M preview image, comprising:
I-th preview image collected for the camera, determine in the i-th preview image with each subgraph
As corresponding first subregion in region, wherein position coordinates of the sub-image area in the first image with it is corresponding
Distance of first subregion between the position coordinates in the i-th preview image is less than or equal to pre-determined distance, and I is
Integer and I≤M, the i-th preview image are corresponding with i-th acquisition parameter;
The similarity of each sub-image area with first subregion corresponding in the i-th preview image is calculated,
Wherein, the similarity of second image and the i-th preview image includes each subgraph in second image
The similarity in region and first subregion corresponding in the i-th preview image;
The N number of third image for obtaining similarity in the M preview image and being greater than default similarity threshold, comprising:
N number of third image is obtained from the M preview image, wherein each subgraph in second image
Region is greater than the default similarity threshold with the similarity of corresponding first subregion in the third image.
4. according to the method described in claim 3, it is characterized in that, first shadow region in the first image into
Row processing, obtains the second image, comprising:
Region division is carried out to the first image, obtains P sub-image area;
Subregion corresponding with first shadow region in the P sub-image area is filtered, the T subgraph is obtained
Region.
5. according to the method described in claim 2, it is characterized in that, calculating separately second image and the M preview graph
The mode of the similarity of picture, comprising:
Calculate separately the third target subgraph of the second target sub-image area and the M preview image in second image
The similarity in region obtains the similarity of second image Yu the M preview image;
Wherein, second target sub-image area is other areas in second image in addition to first shadow region
Domain, position coordinates of second target sub-image area in second image and third target sub-image area exist
Position coordinates in the preview image are identical, and second target sub-image area and third target sub-image area
Area it is identical.
6. method according to claim 1 or 5, which is characterized in that first shadow region in the first image
Domain is handled, and the second image is obtained, comprising:
Attribute tuning is carried out to the first shadow region in the first image, obtains second image, second image
Middle first area is transparent, and position of the first area in second image and first shadow region are described first
Position in image is identical.
7. a kind of terminal device, including camera, which is characterized in that the terminal device includes:
First image collection module, the first image acquired for obtaining the camera with the first acquisition parameter;
First shade determining module, for identification the first shadow region in the first image, first shadow region corresponding the
An object;
Shadows Processing module obtains the second image for handling the first shadow region in the first image;
Third image collection module, for obtain it is that the camera is acquired with N number of acquisition parameter and with second image
The third image matched, the N are positive integer;
Target image determining module, for determining target image based on N number of third image;
Wherein, the area of the second shadow region in the target image is less than the area of first shadow region, and described the
Two shadow regions correspond to first object.
8. terminal device according to claim 7, which is characterized in that the third image collection module further include:
Similarity calculation module, for calculating separately the similarity of second image and M preview image, M >=N, the M are a
Preview image is the preview image that the camera is acquired with M acquisition parameter;
Third image determining module, the N for being greater than default similarity threshold for obtaining similarity in the M preview image
A third image.
9. terminal device according to claim 8, which is characterized in that second image includes T sub-image area, institute
Stating T is the integer greater than 1;
The similarity calculation module, comprising:
First subregion determining module is used for i-th preview image collected for the camera, determines the i-th
The first subregion corresponding with each sub-image area in preview image, wherein the sub-image area is described first
Position coordinates in image and corresponding first subregion between the position coordinates in the i-th preview image away from
From pre-determined distance is less than or equal to, I is integer and I≤M, and the i-th preview image is corresponding with i-th acquisition parameter;
First similarity calculation module, it is corresponding with the i-th preview image for calculating each sub-image area
The similarity of first subregion, wherein the similarity of second image and the i-th preview image includes described the
The similarity of each sub-image area and first subregion corresponding in the i-th preview image in two images;
The third image collection module, for obtaining N number of third image from the M preview image, wherein described
Each sub-image area is greater than described with the similarity of corresponding first subregion in the third image in second image
Default similarity threshold.
10. terminal device according to claim 9, which is characterized in that the Shadows Processing module, comprising:
Region division module obtains P sub-image area for carrying out region division to the first image;
Filtering module is obtained for filtering subregion corresponding with first shadow region in the P sub-image area
T sub-image area.
11. terminal device according to claim 8, which is characterized in that the similarity calculation module, for calculating separately
The second target sub-image area is similar to the third target sub-image area of the M preview image in second image
Degree, obtains the similarity of second image Yu the M preview image;
Wherein, second target sub-image area is other areas in second image in addition to first shadow region
Domain, position coordinates of second target sub-image area in second image and third target sub-image area exist
Position coordinates in the preview image are identical, and second target sub-image area and third target sub-image area
Area it is identical.
12. terminal device according to claim 7 or 11, which is characterized in that the Shadows Processing module, for described
The first shadow region in first image carries out Attribute tuning, obtains second image, first area in second image
It is transparent, position of the first area in second image and position of first shadow region in the first image
It sets identical.
13. a kind of terminal device characterized by comprising memory and processor, the memory are stored with computer journey
Sequence, the processor are realized when executing the computer program such as the processing of any one of the claims 1-6 described image
Step in method.
14. a kind of computer readable storage medium, which is characterized in that store computer journey on the computer readable storage medium
Sequence is realized when the computer program is executed by processor such as any one of the claims 1-6 described image processing side
Step in method.
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