CN106296640B - A kind of method and apparatus identifying blurred picture - Google Patents
A kind of method and apparatus identifying blurred picture Download PDFInfo
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- CN106296640B CN106296640B CN201510312807.3A CN201510312807A CN106296640B CN 106296640 B CN106296640 B CN 106296640B CN 201510312807 A CN201510312807 A CN 201510312807A CN 106296640 B CN106296640 B CN 106296640B
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- G06T7/0002—Inspection of images, e.g. flaw detection
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Abstract
The invention discloses a kind of method and apparatus for identifying blurred picture, belong to technical field of image processing.Method includes: to obtain Laplce's response of the number of colors that the first image includes and the pixel that the first image includes；According to the Laplce's response for the pixel that the first image includes, the pixel quantity that Laplce's response that the first image includes is greater than default value is counted；According to the number of colors and the pixel quantity, the ambiguous identification information of the first image is obtained from the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information, the ambiguous identification information is for identifying whether the first image is blurred picture；According to the ambiguous identification information, determine whether the first image is blurred picture.Device includes: the first acquisition module, and statistical module, second obtains module and identification module.The present invention can be improved the accuracy of identification blurred picture.
Description
Technical field
The present invention relates to technical field of image processing, in particular to a kind of method and apparatus for identifying blurred picture.
Background technique
Currently, most of terminal all has shooting function may trembling due to mobile phone when user's using terminal shoots image
It is dynamic that cause the image for shooting be blurred picture, the storage of these blurred pictures in the terminal can occupied terminal largely store sky
Between.Therefore, terminal needs to identify blurred picture, and blurred picture is deleted from terminal, to save the memory space of terminal.
The prior art provides a kind of method for identifying blurred picture, can be with are as follows: original image is converted to gray level image, is counted
Calculate Laplce's response of all pixels point in the gray level image；Calculate the flat of Laplce's response of all pixels point
Mean value, if the average value is not more than default value, it is determined that the image is blurred picture, otherwise, it is determined that the image is clear
Clear image, wherein default value is greater than 0.
In the implementation of the present invention, the inventor finds that the existing technology has at least the following problems:
Laplce's response of pixel is exactly the gray value of the pixel and the gray value of central pixel point in fact
Diversity factor；If the image only includes a kind of color and the image is clear image, the drawing of all pixels point in the image
This response of pula is all zero, then the average value of Laplce's response of all pixels point is also zero no more than default value,
Then determine that the image is blurred picture, however the image is clear image, the accuracy so as to cause identification blurred picture is low.
Summary of the invention
In order to solve problems in the prior art, the present invention provides a kind of method and apparatus for identifying blurred picture.Technology
Scheme is as follows:
A method of identification blurred picture, which comprises
Obtain Laplce's response of the number of colors that the first image includes and the pixel that the first image includes；
According to the Laplce's response for the pixel that the first image includes, the drawing that the first image includes is counted
This response of pula is greater than the pixel quantity of default value；
According to the number of colors and the pixel quantity, from number of colors range, pixel quantity range and obscure
The ambiguous identification information of the first image is obtained in the corresponding relationship of identification information, the ambiguous identification information is for identifying institute
State whether the first image is blurred picture；
According to the ambiguous identification information, determine whether the first image is blurred picture.
A kind of device identifying blurred picture, described device include:
First obtains module, for obtaining the number of colors that the first image includes and the pixel that the first image includes
Laplce's response；
Statistical module, Laplce's response of the pixel for including according to the first image count described the
Laplce's response that one image includes is greater than the pixel quantity of default value；
Second obtains module, is used for according to the number of colors and the pixel quantity, from number of colors range, pixel
The ambiguous identification information of the first image, the fuzzy mark are obtained in point quantitative range and the corresponding relationship of ambiguous identification information
Information is known for identifying whether the first image is blurred picture；
Identification module, for determining whether the first image is blurred picture according to the ambiguous identification information.
In embodiments of the present invention, the Laplce that the number of colors and the first image for including according to the first image include rings
The quantity of the pixel greater than default value should be worth, from pre-set number of colors range, pixel quantity range and obscured
The corresponding relationship of identification information, the ambiguous identification information for obtaining the first image determine the first image according to the ambiguous identification information
It whether is blurred picture, to realize the number of colors for including and Laplce's response is greater than present count in conjunction with the first image
The quantity of the pixel of value, whether the first image of identification is blurred picture, improves the accuracy of identification blurred picture.
Detailed description of the invention
Fig. 1 is a kind of method flow diagram for identification blurred picture that the embodiment of the present invention 1 provides；
Fig. 2-1 is a kind of method flow diagram for identification blurred picture that the embodiment of the present invention 2 provides；
Fig. 2-2 is the method flow diagram for another identification blurred picture that the embodiment of the present invention 2 provides；
Fig. 3-1 is a kind of apparatus structure schematic diagram for identification blurred picture that the embodiment of the present invention 3 provides；
Fig. 3-2 is the structural schematic diagram that one kind first that the embodiment of the present invention 3 provides obtains module；
Fig. 3-3 is a kind of structural schematic diagram for identification module that the embodiment of the present invention 3 provides；
Fig. 3-4 is the apparatus structure schematic diagram for another identification blurred picture that the embodiment of the present invention 3 provides；
Fig. 3-5 is a kind of structural schematic diagram for Zoom module that the embodiment of the present invention 3 provides；
Fig. 4 is a kind of structural schematic diagram for terminal that the embodiment of the present invention 4 provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
Embodiment 1
The embodiment of the invention provides a kind of methods for identifying blurred picture, in order to improve the accurate of identification blurred picture
Property, it whether can be blurred picture using identification image to be identified provided in an embodiment of the present invention, it, will if it is blurred picture
The image is deleted from terminal, to save the memory space of terminal.
The executing subject of this method is terminal, referring to Fig. 1, wherein this method comprises:
Step 101: the Laplce for obtaining the number of colors that the first image includes and the pixel that the first image includes rings
It should be worth；
Step 102: according to the Laplce's response for the pixel that the first image includes, counting the drawing that the first image includes
This response of pula is greater than the pixel quantity of default value；
Step 103: according to the number of colors and the pixel quantity, from number of colors range, pixel quantity range and
The ambiguous identification information of the first image is obtained in the corresponding relationship of ambiguous identification information, the ambiguous identification information is for identifying first
Whether image is blurred picture；
Step 104: according to the ambiguous identification information, determining whether the first image is blurred picture.
In embodiments of the present invention, the Laplce that the number of colors and the first image for including according to the first image include rings
The quantity of the pixel greater than default value should be worth, from pre-set number of colors range, pixel quantity range and obscured
The corresponding relationship of identification information, the ambiguous identification information for obtaining the first image determine the first image according to the ambiguous identification information
It whether is blurred picture, to realize the number of colors for including and Laplce's response is greater than present count in conjunction with the first image
The quantity of the pixel of value, whether the first image of identification is blurred picture, improves the accuracy of identification blurred picture.
Embodiment 2
The embodiment of the invention provides a kind of methods for identifying blurred picture, in order to improve the accurate of identification blurred picture
Property, it whether can be blurred picture using identification image to be identified provided in an embodiment of the present invention, it, will if it is blurred picture
The image is deleted from terminal, to save the memory space of terminal.
The executing subject of this method is terminal, referring to fig. 2-1, wherein this method comprises:
Step 201: being first image of the size in default magnitude range by the second image scaling to be identified；
In inventive embodiments, in order to simplify identification process, unified criterion of identification is set, therefore, in order to improve identification
Accuracy, need the image scaled of the second image to be identified to the first image in default magnitude range, specifically
It can be realized by following steps (1) to (3), comprising:
(1): obtaining the image size of the second image to be identified；
Image size includes the area etc. of image length, picture traverse and/or image, in embodiments of the present invention by image
Length and width in maximum value as image size, then this step can be with are as follows:
The length and width for obtaining the second image to be identified obtains the maximum value in the length and width as the second figure
The image size of picture.
For example, the width of the second image be S, be highly H, then the image size of the second image be longlen=Max (S,
H)。
(2): according to the image size of the second image, contracting from being obtained in the corresponding relationship of image magnitude range and zoom factor
Put coefficient；
According to the image size of the second image and preset image magnitude range, the image size where image size is determined
Range, it is corresponding from the second image is obtained in the corresponding relationship of image magnitude range and zoom factor according to the image magnitude range
Zoom factor.
Wherein, need to store the corresponding relationship of image magnitude range and zoom factor before this step, in terminal；And
And the corresponding relationship of image magnitude range and zoom factor can be configured and change according to default magnitude range, in this hair
Image magnitude range and zoom factor are not especially limited in bright embodiment.
For example, shown in the following formula of the corresponding relationship of image magnitude range and zoom factor (1):
Wherein, A is zoom factor, and longlen is image size.
(3): being first image of the size in default magnitude range by the second image scaling according to the zoom factor.
The length of second image obtains the length of the first image multiplied by the zoom factor, and the width of the second image is multiplied by the contracting
It puts coefficient and obtains the width of the first image.
For example, the length of the first image is S*A, the width of the first image is H*A.
The Laplce that the number of colors and the first image for combining the first image to include in embodiments of the present invention include rings
The quantity of the pixel greater than default value should be worth, whether the first image of identification is blurred picture, by the second image to be identified
Size is scaled after the first image in default magnitude range, executes step 202.
Step 202: the Laplce for obtaining the number of colors that the first image includes and the pixel that the first image includes rings
It should be worth；
Wherein, the step of obtaining the number of colors that the first image includes can be realized by following steps (1) to (3), wrap
It includes:
(1): the red R value, green G value and indigo plant B value of each pixel that the first image includes are obtained from the first image；
It is the first RGB (Red Green Blue, RGB) image by the first image decoding, is obtained from the first RGB image
R value, G value and the B value for each pixel for taking the first image to include.
It wherein, be the first RGB image by the first image decoding is that the prior art is no longer described in detail herein.
(2): according to the R value, G value and B value of each pixel, determining the color of each pixel；
According to the R value, G value and B value of each pixel, obtained from the corresponding relationship of G value, G value, B value and color each
The color of pixel.
(3): according to the color of each pixel, counting the number of colors that the first image includes.
It should be noted that all colours quantity that available first image includes in embodiments of the present invention, it can also
To obtain all colours quantity that some image block in the first image includes.
Wherein, the step of obtaining the Laplce's response for the pixel that the first image includes can pass through following steps
(A) to (B) is realized, comprising:
(A): obtaining the gray value for the pixel that the first image includes；
If the first image is the image of the extended formatting in addition to a kind of Jpeg (format of image) format, for example,
First image is a kind of image of the formats such as PNG (format of image) or GIF (a kind of format of image), then by the first image
The first RGB image is converted to, then the first RGB image is converted into the first gray level image, according to first gray level image, obtains the
The gray value for the pixel that one image includes；If the first image is that the image of Jpeg format then may be used to improve conversion speed
The first image is directly converted to a kind of the first YUV (format of image) image, the channel Y of the first YUV image is exactly gray scale
Image obtains the gray value for the pixel that the first image includes according to the first YUV image.
Wherein, each pixel for including for the first RGB image can carry out gradation conversion according to following formula (2) and obtain
To the gray value of each pixel:
Gray=0.299R+0.590G+0.110B (2)
Wherein, Gray is the gray value of pixel, and R is the R value of the pixel, and G is the G value of the pixel, and B is the pixel
The B value of point.
In order to improve the operation efficiency of terminal, removes floating-point operation, removed simultaneously multiplied by 256, then simultaneously on formula (2) both sides
With 256, formula (3) are obtained:
Gray=(77R+151G+28B)/256 (3)
Then formula (3) be equivalent to Gray=(77R+151G+28B) > > 8；Wherein, > > indicates to move to right.
It should be noted that removing floating-point operation can be improved the operation efficiency of terminal, to improve identification blurred picture
Efficiency.
Wherein, by the first image be converted to the first RGB image and by the first image decoding be the first YUV image process
It is the prior art, is no longer described in detail herein.
It should be noted that if counting the first image when being in this step the first YUV image by the first image decoding
Including number of colors can be the first YUV image of the statistics greyscale color quantity that include.
It should be noted that in order to improve the efficiency of identification blurred picture, in step 201 by the second image to be identified
First image is converted to the first RGB figure in this step by the step of being scaled the first image of the size in default magnitude range
As that can carry out simultaneously；Alternatively, the second image scaling to be identified being preset in magnitude range for size in step 201
The first image, which is converted to the first YUV image, in the step of first image and this step to carry out simultaneously.
(B): according to the gray value for the pixel that the first image includes, calculating the La Pula for the pixel that the first image includes
This response.
For each pixel that the first image includes, the La Pula of the pixel can be calculated by following formula (4)
This response:
Wherein, L (x) is Laplce's response of the pixel, and Gray is the gray value of the pixel.
It should be noted that the La Pula for all pixels point that available first image includes in embodiments of the present invention
This response, the Laplce's response for all pixels point that also some image block in available first image includes.
In embodiments of the present invention, in order to reduce operand, the efficiency of identification blurred picture is improved, it can not be to entire the
One image is identified, predetermined number image block, the side provided through the embodiment of the present invention can be selected from the first image
Method identifies whether each image block in predetermined number image block is blurred picture respectively；According to the identification knot of each image block
Fruit obtains the quantity of blurred picture and the quantity of Non-blurred image, according to the number of the quantity of blurred picture and Non-blurred image
Amount, determines whether the first image is blurred picture.Then this step can be with are as follows:
Predetermined number is taken out from the first image without overlapping and equal-sized image block, predetermined number is greater than 1
Odd number；Number of colors that each image block in the predetermined number image block includes is obtained respectively and each image block includes
Pixel Laplce's response.
Wherein, the position of each image block, the size of each image block and predetermined number can according to need and be configured
And change, the size to the position of each image block, each image block and predetermined number are not made specifically in embodiments of the present invention
It limits.For example, image size is to include 200 pixels, predetermined number 3,5 or 7 etc..
When predetermined number is 3, then the center of each image block in 3 image blocks is respectively (S/3-100, H/
2-100), (S/2-100, H/2-100) and (2*S/3-100, H/2-100), then each image block in 3 image blocks be respectively
It is that center position takes 200 pixels with (S/3-100, H/2-100), is that center position takes 200 with (S/2-100, H/2-100)
A pixel is that center position takes 200 pixels with (2*S/3-100, H/2-100).
When predetermined number is 5, then the center of each image block in 5 image blocks is respectively (S/3-100, H/
3-100), (S/2-100, H/2-100), (2*S/3-100,2*H/3-100), (S/3-100,2*H/3-100) and (2*S/3-
100, H/3-100), then each image block in 5 image blocks is respectively that center position takes 200 with (S/3-100, H/3-100)
A pixel is that center position takes 200 pixels with (S/2-100, H/2-100), is with (2*S/3-100,2*H/3-100)
Center takes 200 pixels, is that center position takes 200 pixels and with (2*S/ with (S/3-100,2*H/3-100)
3-100, H/3-100) it is that center position takes 200 pixels.
Wherein, the Laplce for obtaining the number of colors that each image block includes and the pixel that each image block includes rings
The Laplce's response for the pixel that the number of colors and the first image that the process and the first image of acquisition that should be worth include include
Process it is identical, details are not described herein.
Step 203: according to the Laplce's response for the pixel that the first image includes, counting the drawing that the first image includes
This response of pula is greater than the pixel quantity of default value；
Wherein, default value is not fixed value in embodiments of the present invention, is the gray value meter for including according to the first image
It obtains, specifically:
Calculate the average gray of the gray value for the pixel that the first image includes；According to the average gray, from gray scale
The default value is obtained in the corresponding relationship of average value ranges and default value.
According to the average gray and preset average gray range, the gray scale where determining the average gray is average
It is worth range, it is default from this is obtained in the corresponding relationship of average gray range and default value according to the average gray range
Numerical value.
For example, shown in the following formula of the corresponding relationship of average gray range and default value (5):
Wherein, F (x) is default value, and AvgL is the average gray.
Wherein, when selecting predetermined number image block from the first image, the method provided through the embodiment of the present invention is divided
Not Shi Bie each image block in predetermined number image block whether be blurred picture；According to the recognition result of each image block,
The quantity of blurred picture and the quantity of Non-blurred image are obtained, according to the quantity of the quantity of blurred picture and Non-blurred image,
When determining whether the first image is blurred picture, then this step can be with are as follows:
According to the Laplce's response for the pixel that each image block includes, the drawing that each image block includes is counted respectively
This response of pula is greater than the pixel quantity of default value.
Step 204: Laplce's response that the number of colors and the first image for including according to the first image include is greater than
The pixel quantity of default value, from the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information
Obtain the ambiguous identification information of the first image；
The number of colors and preset number of colors range for including according to the first image, determine the face where the number of colors
Color quantitative range, pixel quantity of Laplce's response greater than default value for including according to the first image and preset picture
Vegetarian refreshments quantitative range determines the pixel quantity range where the pixel quantity, according to the number of colors range and the pixel
Point quantitative range, obtains the first figure from the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information
The ambiguous identification information of picture.
Wherein, whether ambiguous identification information is blurred picture for identifying the first image；Ambiguous identification information can be mould
Perhaps non-fuzzy ambiguous identification information can also be to identify fuzzy or label of non-fuzzy etc. to paste；For example, 1 representative is fuzzy, 0
Represent non-fuzzy.
Wherein, the following formula of the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information (6) institute
Show:
Wherein, ColorNum is number of colors, and PointsNum is pixel quantity.
Wherein, when to select predetermined number image block, the method provided through the embodiment of the present invention from the first image
Identify whether each image block in predetermined number image block is blurred picture respectively；According to the identification knot of each image block
Fruit obtains the quantity of blurred picture and the quantity of Non-blurred image, according to the number of the quantity of blurred picture and Non-blurred image
Amount, when determining whether the first image is blurred picture, then this step can be with are as follows:
The number of colors and pixel quantity for including according to each image block, respectively from number of colors range, pixel number
The ambiguous identification information of each image block is obtained in the corresponding relationship of amount range and ambiguous identification information.
For each image block, the number of colors for including according to the image block and preset number of colors range, determining should
Number of colors range where number of colors, the pixel quantity for including according to the image block and preset pixel quantity model
It encloses, determines the pixel quantity range where the pixel quantity, according to the number of colors range and pixel quantity range, from
The ambiguous identification letter of the image block is obtained in the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information
Breath.
Step 205: according to the ambiguous identification information of the first image, determining whether the first image is blurred picture.
When it is blurred picture that the ambiguous identification information of the first image, which is the first image of mark, it is determined that the first image is mould
Paste image；When it is Non-blurred image that the ambiguous identification information of the first image, which is the first image of mark, it is determined that the first image is
Non-blurred image.
Wherein, when to select predetermined number image block, the method provided through the embodiment of the present invention from the first image
Identify whether each image block in predetermined number image block is blurred picture respectively；According to the identification knot of each image block
Fruit obtains the quantity of blurred picture and the quantity of Non-blurred image, according to the number of the quantity of blurred picture and Non-blurred image
Amount, when determining whether the first image is blurred picture, then this step can be with are as follows:
According to the ambiguous identification information of each image block, determine whether each image block is blurred picture；If each figure
As the quantity for the blurred picture for including in block is greater than the quantity of Non-blurred image, it is determined that the first image is blurred picture.
According to the ambiguous identification information of each image block, determine whether each image block is blurred picture；Obtain each figure
As the quantity of the blurred picture that includes in block and the quantity of Non-blurred image, if the quantity of blurred picture is greater than Non-blurred image
Quantity, it is determined that the first image is blurred picture；If the quantity of blurred picture is less than the quantity of Non-blurred image, it is determined that
First image is Non-blurred image.
Since predetermined number is odd number, then the quantity of blurred picture can not be equal to the quantity of Non-blurred image.
For example, when predetermined number is 3, if having 2 or 3 blurred pictures in 3 image blocks, it is determined that the first figure
It seem blurred picture；If have 2 or 3 non-module images in 3 image blocks, it is determined that the first image is non-fuzzy graph
Picture.
For another example, when predetermined number is 5, if having 3,4 or 5 blurred pictures in 5 image blocks, it is determined that the
One image is blurred picture；If have 3,4 or 5 Non-blurred images in 5 image blocks, it is determined that the first image is non-
Blurred picture.
Further, be in the embodiment of the present invention according to the quantity of the blurred picture for including in predetermined number image block and
The quantity of Non-blurred image determines whether the first image is blurred picture, then in order to reduce the workload of terminal, improves identification mould
The efficiency for pasting image, can not identify predetermined number image block, only identify the majority in predetermined number image block
Image, if most images are all blurred picture, directly determining the first image is blurred picture；If most images all right and wrong
Blurred picture, then directly determining the first image is Non-blurred image；If both comprising blurred picture or include non-in most images
Blurred picture can not then determine that the first image is blurred picture or Non-blurred image, need to identify that predetermined number is schemed at this time
As whether image block remaining in block is blurred picture, and the recognition result of remaining image block is combined to determine that the first image is mould
Paste image or Non-blurred image.
For example, when predetermined number is 32 image blocks can be chosen directly from the first image, if this 2 image blocks
It is all blurred picture, it is determined that the first image is blurred picture；If this 2 image blocks are all Non-blurred images, it is determined that the
One image is Non-blurred image；If 1 is blurred picture in this 2 image blocks, 1 is Non-blurred image, then from the first figure
1 image block is chosen again as in, then when the image block chosen is blurred picture, then the first image is exactly blurred picture, then is chosen
Image block when being Non-blurred image, then the first image is exactly Non-blurred image.
Referring to fig. 2-2, whether the first image of identification is that the process of blurred picture can be with are as follows: calculates predetermined number and adds one to obtain
First numerical value calculates the first numerical value with 2 ratio and obtains second value, only takes out that second value is a not to be had from the first image
Overlapping and equal-sized image block, count respectively each image block number of colors for including in second value image block with
Laplce's response that each image block includes is greater than the pixel quantity of default value；The face for including according to each image block
Chromatic number amount and pixel quantity, respectively from the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information
The middle ambiguous identification information for obtaining each image block；Whether each image block is determined according to the ambiguous identification information of each image block
It is blurred picture；If second value image block is all blurred picture, directly determining the first image is blurred picture；If
Second value image block is all Non-blurred image, then directly determining the first image is Non-blurred image；If second value
There are blurred picture and Non-blurred image in image block, it is determined that in predetermined number image block in addition to second value image block
Other image blocks whether be blurred picture, and whether be fuzzy graph according to second value image block and other image blocks
Picture determines whether the first image is blurred picture.
In embodiments of the present invention, the Laplce that the number of colors and the first image for including according to the first image include rings
The quantity of the pixel greater than default value should be worth, from pre-set number of colors range, pixel quantity range and obscured
The corresponding relationship of identification information, the ambiguous identification information for obtaining the first image determine the first image according to the ambiguous identification information
It whether is blurred picture, to realize the number of colors for including and Laplce's response is greater than present count in conjunction with the first image
The quantity of the pixel of value, whether the first image of identification is blurred picture, improves the accuracy of identification blurred picture.
Embodiment 3
The embodiment of the invention provides a kind of devices for identifying blurred picture, and referring to Fig. 3-1, which includes:
First obtains module 301, for obtaining the number of colors that the first image includes and the pixel that the first image includes
Laplce's response；
Statistical module 302, Laplce's response of the pixel for including according to the first image count the first image
Including Laplce's response be greater than default value pixel quantity；
Second obtains module 303, is used for according to the number of colors and the pixel quantity, from number of colors range, pixel
The ambiguous identification information of the first image, the ambiguous identification information are obtained in point quantitative range and the corresponding relationship of ambiguous identification information
It whether is blurred picture for identifying the first image；
Identification module 304, for determining whether the first image is blurred picture according to the ambiguous identification information.
Further, module 301 is obtained referring to Fig. 3-2, first, comprising:
First acquisition unit 3011, for obtained from the first image each pixel that the first image includes red R value,
Green G value and indigo plant B value；
First determination unit 3012 determines the face of each pixel for the R value, G value and B value according to each pixel
Color；
Statistic unit 3013 counts the number of colors that the first image includes for the color according to each pixel.
Further, first module 301 is obtained, comprising:
Selection unit 3014, for taking out predetermined number from the first image without overlapping and equal-sized image
Block, the predetermined number are the odd number greater than 8；
Second acquisition unit 3015, the face for including for obtaining each image block in the predetermined number image block respectively
The Laplce's response for the pixel that chromatic number amount and each image block include；
Correspondingly, statistical module 302, Laplce's response of the pixel for including according to each image block, point
The pixel quantity that Laplce's response that each image block includes is greater than default value is not counted.
Further, second module 303, number of colors and pixel number for including according to each image block are obtained
Amount, obtains each image block from the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information respectively
Ambiguous identification information；
Correspondingly, referring to Fig. 3-3, identification module 304, comprising:
Recognition unit 3041 determines whether each image block is mould for the ambiguous identification information according to each image block
Paste image；
Second determination unit 3042, if the quantity of the blurred picture for including in each image block is greater than non-fuzzy figure
The quantity of picture, it is determined that the first image is blurred picture.
Further, referring to Fig. 3-4, the device further include:
Computing module 305, the average gray of the gray value for calculating the pixel that the first image includes；
Third obtains module 306, is used for according to the average gray, from the correspondence of average gray range and default value
The default value is obtained in relationship.
Further, the device further include:
Zoom module 307, for being first figure of the size in default magnitude range by the second image scaling to be identified
Picture.
Further, referring to Fig. 3-5, Zoom module 307, comprising:
Third acquiring unit 3071, for obtaining the image size of the second image to be identified；
4th acquiring unit 3072, for being closed from image magnitude range and the corresponding of zoom factor according to the image size
Zoom factor is obtained in system；
Unit for scaling 3073, for being size in default magnitude range by the second image scaling according to the zoom factor
The first image.
In embodiments of the present invention, the Laplce that the number of colors and the first image for including according to the first image include rings
The quantity of the pixel greater than default value should be worth, from pre-set number of colors range, pixel quantity range and obscured
The corresponding relationship of identification information, the ambiguous identification information for obtaining the first image determine the first image according to the ambiguous identification information
It whether is blurred picture, to realize the number of colors for including and Laplce's response is greater than present count in conjunction with the first image
The quantity of the pixel of value, whether the first image of identification is blurred picture, improves the accuracy of identification blurred picture.
Embodiment 4
Referring to FIG. 4, it illustrates, with the terminal structure schematic diagram of touch sensitive surface, be somebody's turn to do involved in the embodiment of the present invention
Terminal is that the device for the identification blurred picture that examples detailed above 3 provides provides running environment.Specifically:
Terminal 900 may include RF (Radio Frequency, radio frequency) circuit 110, include one or more meter
The memory 120 of calculation machine readable storage medium storing program for executing, input unit 130, display unit 140, sensor 150, voicefrequency circuit 160,
WiFi (wireless fidelity, Wireless Fidelity) module 170, the processing for including one or more than one processing core
The components such as device 180 and power supply 190.It will be understood by those skilled in the art that terminal structure shown in Fig. 4 is not constituted pair
The restriction of terminal may include perhaps combining certain components or different component cloth than illustrating more or fewer components
It sets.Wherein:
RF circuit 110 can be used for receiving and sending messages or communication process in, signal sends and receivees, particularly, by base station
After downlink information receives, one or the processing of more than one processor 180 are transferred to；In addition, the data for being related to uplink are sent to
Base station.In general, RF circuit 110 includes but is not limited to antenna, at least one amplifier, tuner, one or more oscillators, uses
Family identity module (SIM) card, transceiver, coupler, LNA (Low Noise Amplifier, low-noise amplifier), duplex
Device etc..In addition, RF circuit 110 can also be communicated with network and other equipment by wireless communication.The wireless communication can make
With any communication standard or agreement, and including but not limited to GSM (Global System of Mobile communication, entirely
Ball mobile communcations system), GPRS (General Packet Radio Service, general packet radio service), CDMA (Code
Division Multiple Access, CDMA), WCDMA (Wideband Code Division Multiple
Access, wideband code division multiple access), LTE (Long Term Evolution, long term evolution), Email, SMS (Short
Messaging Service, short message service) etc..
Memory 120 can be used for storing software program and module, and processor 180 is stored in memory 120 by operation
Software program and module, thereby executing various function application and data processing.Memory 120 can mainly include storage journey
Sequence area and storage data area, wherein storing program area can the (ratio of application program needed for storage program area, at least one function
Such as sound-playing function, image player function) etc.；Storage data area, which can be stored, uses created number according to terminal 900
According to (such as audio data, phone directory etc.) etc..In addition, memory 120 may include high-speed random access memory, can also wrap
Include nonvolatile memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Correspondingly, memory 120 can also include Memory Controller, to provide processor 180 and input unit 130 to memory
120 access.
Input unit 130 can be used for receiving the number or character information of input, and generate and user setting and function
Control related keyboard, mouse, operating stick, optics or trackball signal input.Specifically, input unit 130 may include touching
Sensitive surfaces 131 and other input equipments 132.Touch sensitive surface 131, also referred to as touch display screen or Trackpad are collected and are used
Family on it or nearby touch operation (such as user using any suitable object or attachment such as finger, stylus in touch-sensitive table
Operation on face 131 or near touch sensitive surface 131), and corresponding attachment device is driven according to preset formula.It is optional
, touch sensitive surface 131 may include both touch detecting apparatus and touch controller.Wherein, touch detecting apparatus detection is used
The touch orientation at family, and touch operation bring signal is detected, transmit a signal to touch controller；Touch controller is from touch
Touch information is received in detection device, and is converted into contact coordinate, then gives processor 180, and can receive processor 180
The order sent simultaneously is executed.Furthermore, it is possible to using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves
Realize touch sensitive surface 131.In addition to touch sensitive surface 131, input unit 130 can also include other input equipments 132.Specifically,
Other input equipments 132 can include but is not limited to physical keyboard, function key (such as volume control button, switch key etc.),
One of trace ball, mouse, operating stick etc. are a variety of.
Display unit 140 can be used for showing information input by user or the information and terminal 900 that are supplied to user
Various graphical user interface, these graphical user interface can be made of figure, text, icon, video and any combination thereof.
Display unit 140 may include display panel 141, optionally, can use LCD (Liquid Crystal Display, liquid crystal
Show device), the forms such as OLED (Organic Light-Emitting Diode, Organic Light Emitting Diode) configure display panel
141.Further, touch sensitive surface 131 can cover display panel 141, when touch sensitive surface 131 detects touching on it or nearby
After touching operation, processor 180 is sent to determine the type of touch event, is followed by subsequent processing device 180 according to the type of touch event
Corresponding visual output is provided on display panel 141.Although touch sensitive surface 131 and display panel 141 are conducts in Fig. 4
Two independent components realize input and input function, but in some embodiments it is possible to by touch sensitive surface 131 and display
Panel 141 is integrated and realizes and outputs and inputs function.
Terminal 900 may also include at least one sensor 150, such as optical sensor, motion sensor and other sensings
Device.Specifically, optical sensor may include 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 141, and proximity sensor can close display when terminal 900 is moved in one's ear
Panel 141 and/or backlight.As a kind of motion sensor, gravity accelerometer can detect in all directions (generally
Three axis) acceleration size, can detect that size and the direction of gravity when static, can be used to identify mobile phone posture application (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap)；Extremely
In other sensors such as gyroscope, barometer, hygrometer, thermometer, the infrared sensors that terminal 900 can also configure, herein
It repeats no more.
Voicefrequency circuit 160, loudspeaker 161, microphone 162 can provide the audio interface between user and terminal 900.Audio
Electric signal after the audio data received conversion can be transferred to loudspeaker 161, be converted to sound by loudspeaker 161 by circuit 160
Sound signal output；On the other hand, the voice signal of collection is converted to electric signal by microphone 162, after being received by voicefrequency circuit 160
Audio data is converted to, then by after the processing of audio data output processor 180, such as another end is sent to through RF circuit 110
End, or audio data is exported to memory 120 to be further processed.Voicefrequency circuit 160 is also possible that earphone jack,
To provide the communication of peripheral hardware earphone Yu terminal 900.
WiFi belongs to short range wireless transmission technology, and terminal 900 can help user's transceiver electronics by WiFi module 170
Mail, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 4 is shown
WiFi module 170, but it is understood that, and it is not belonging to must be configured into for terminal 900, it can according to need completely
Do not change in the range of the essence of invention and omits.
Processor 180 is the control centre of terminal 900, utilizes each portion of various interfaces and connection whole mobile phone
Point, by running or execute the software program and/or module that are stored in memory 120, and calls and be stored in memory 120
Interior data execute the various functions and processing data of terminal 900, to carry out integral monitoring to mobile phone.Optionally, processor
180 may include one or more processing cores；Preferably, processor 180 can integrate application processor and modem processor,
Wherein, the main processing operation system of application processor, user interface and application program etc., modem processor mainly handles nothing
Line communication.It is understood that above-mentioned modem processor can not also be integrated into processor 180.
Terminal 900 further includes the power supply 190 (such as battery) powered to all parts, it is preferred that power supply can pass through electricity
Management system and processor 180 are logically contiguous, to realize management charging, electric discharge and power consumption by power-supply management system
The functions such as management.Power supply 190 can also include one or more direct current or AC power source, recharging system, power supply event
Hinder the random components such as detection circuit, power adapter or inverter, power supply status indicator.
Although being not shown, terminal 900 can also include camera, bluetooth module etc., and details are not described herein.Specifically in this reality
It applies in example, the display unit of terminal 900 is touch-screen display, and terminal 900 further includes having memory and one or one
Above program, one of them perhaps more than one program be stored in memory and be configured to by one or one with
Upper processor execution states one or more than one program includes the instruction for performing the following operation:
Obtain Laplce's response of the number of colors that the first image includes and the pixel that the first image includes；
According to the Laplce's response for the pixel that the first image includes, the drawing that the first image includes is counted
This response of pula is greater than the pixel quantity of default value；
According to the number of colors and the pixel quantity, from number of colors range, pixel quantity range and obscure
The ambiguous identification information of the first image is obtained in the corresponding relationship of identification information, the ambiguous identification information is for identifying institute
State whether the first image is blurred picture；
According to the ambiguous identification information, determine whether the first image is blurred picture.
Further, the number of colors for obtaining the first image and including, comprising:
Red R value, green G value and the indigo plant B value of each pixel that the first image includes are obtained from the first image；
According to the R value, G value and B value of each pixel, the color of each pixel is determined；
According to the color of each pixel, the number of colors that the first image includes is counted.
Further, the drawing for obtaining the number of colors that the first image includes and the pixel that the first image includes
This response of pula, comprising:
Predetermined number is taken out from the first image without overlapping and equal-sized image block, the predetermined number are big
In 1 odd number；
The number of colors and each figure that each image block in the predetermined number image block includes are obtained respectively
As the Laplce's response for the pixel that block includes；
Correspondingly, Laplce's response of the pixel for including according to the first image, statistics described first
Laplce's response that image includes is greater than the pixel quantity of default value, comprising:
According to the Laplce's response for the pixel that each image block includes, each image block is counted respectively
Including Laplce's response be greater than default value pixel quantity.
Further, described according to the number of colors and the pixel quantity, from number of colors range, pixel number
Measure the ambiguous identification information that the first image is obtained in the corresponding relationship of range and ambiguous identification information, comprising:
According to number of colors and pixel quantity that each image block includes, respectively from number of colors range, pixel
The ambiguous identification information of each image block is obtained in point quantitative range and the corresponding relationship of ambiguous identification information；
Correspondingly, it is described according to the ambiguous identification information, determine whether the first image is blurred picture, comprising:
According to the ambiguous identification information of each image block, determine whether each image block is blurred picture；
If the quantity for the blurred picture for including in each image block is greater than the quantity of Non-blurred image, it is determined that institute
Stating the first image is blurred picture.
Further, the method also includes:
Calculate the average gray of the gray value for the pixel that the first image includes；
It is described default from being obtained in the corresponding relationship of average gray range and default value according to the average gray
Numerical value.
Further, the drawing for obtaining the number of colors that the first image includes and the pixel that the first image includes
Before this response of pula, further includes:
It is first image of the size in default magnitude range by the second image scaling to be identified.
Further, first image by the second image scaling to be identified for size in default magnitude range,
Include:
Obtain the image size of the second image to be identified；
According to described image size, from obtaining zoom factor in the corresponding relationship of image magnitude range and zoom factor；
It is first image of the size in default magnitude range by second image scaling according to the zoom factor.
In embodiments of the present invention, the Laplce that the number of colors and the first image for including according to the first image include rings
The quantity of the pixel greater than default value should be worth, from pre-set number of colors range, pixel quantity range and obscured
The corresponding relationship of identification information, the ambiguous identification information for obtaining the first image determine the first image according to the ambiguous identification information
It whether is blurred picture, to realize the number of colors for including and Laplce's response is greater than present count in conjunction with the first image
The quantity of the pixel of value, whether the first image of identification is blurred picture, improves the accuracy of identification blurred picture.
It should be understood that it is provided by the above embodiment identification blurred picture device when identifying blurred picture, only with
The division progress of above-mentioned each functional module can according to need and for example, in practical application by above-mentioned function distribution by not
Same functional module is completed, i.e., the internal structure of device is divided into different functional modules, to complete whole described above
Or partial function.In addition, the device of identification blurred picture provided by the above embodiment and the method for identification blurred picture are implemented
Example belongs to same design, and specific implementation process is detailed in embodiment of the method, and which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (14)
1. a kind of method for identifying blurred picture, which is characterized in that the described method includes:
Obtain Laplce's response of the number of colors that the first image includes and the pixel that the first image includes；
According to the Laplce's response for the pixel that the first image includes, the La Pula that the first image includes is counted
This response is greater than the pixel quantity of default value；
According to the number of colors and the pixel quantity, from number of colors range, pixel quantity range and ambiguous identification
The ambiguous identification information of the first image is obtained in the corresponding relationship of information, the ambiguous identification information is for identifying described the
Whether one image is blurred picture；
According to the ambiguous identification information, determine whether the first image is blurred picture.
2. the method as described in claim 1, which is characterized in that the number of colors for obtaining the first image and including, comprising:
Red R value, green G value and the indigo plant B value of each pixel that the first image includes are obtained from the first image；
According to the R value, G value and B value of each pixel, the color of each pixel is determined；
According to the color of each pixel, the number of colors that the first image includes is counted.
3. the method as described in claim 1, which is characterized in that described to obtain the first image number of colors for including and described the
The Laplce's response for the pixel that one image includes, comprising:
Predetermined number is taken out from the first image without overlapping and equal-sized image block, the predetermined number is greater than 1
Odd number；
The number of colors and each image block that each image block in the predetermined number image block includes are obtained respectively
Including pixel Laplce's response；
Correspondingly, Laplce's response of the pixel for including according to the first image, counts the first image
Including Laplce's response be greater than default value pixel quantity, comprising:
According to the Laplce's response for the pixel that each image block includes, counting each image block respectively includes
Laplce's response be greater than default value pixel quantity.
4. method as claimed in claim 3, which is characterized in that it is described according to the number of colors and the pixel quantity,
The fuzzy of the first image is obtained from the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information
Identification information, comprising:
According to number of colors and pixel quantity that each image block includes, respectively from number of colors range, pixel number
The ambiguous identification information of each image block is obtained in the corresponding relationship of amount range and ambiguous identification information；
Correspondingly, it is described according to the ambiguous identification information, determine whether the first image is blurred picture, comprising:
According to the ambiguous identification information of each image block, determine whether each image block is blurred picture；
If the quantity for the blurred picture for including in each image block is greater than the quantity of Non-blurred image, it is determined that described the
One image is blurred picture.
5. the method as described in claim 1, which is characterized in that the method also includes:
Calculate the average gray of the gray value for the pixel that the first image includes；
According to the average gray, from obtaining the present count in the corresponding relationship of average gray range and default value
Value.
6. the method as described in claim 1, which is characterized in that described to obtain the first image number of colors for including and described the
Before the Laplce's response for the pixel that one image includes, further includes:
It is first image of the size in default magnitude range by the second image scaling to be identified.
7. method as claimed in claim 6, which is characterized in that described to preset the second image scaling to be identified for size
The first image in magnitude range, comprising:
Obtain the image size of the second image to be identified；
According to described image size, from obtaining zoom factor in the corresponding relationship of image magnitude range and zoom factor；
It is first image of the size in default magnitude range by second image scaling according to the zoom factor.
8. a kind of device for identifying blurred picture, which is characterized in that described device includes:
First obtains module, for obtaining the drawing of the number of colors that the first image includes and the pixel that the first image includes
This response of pula；
Statistical module, Laplce's response of the pixel for including according to the first image count first figure
As the Laplce's response for including is greater than the pixel quantity of default value；
Second obtains module, is used for according to the number of colors and the pixel quantity, from number of colors range, pixel number
Measure the ambiguous identification information that the first image is obtained in the corresponding relationship of range and ambiguous identification information, the ambiguous identification letter
Breath is for identifying whether the first image is blurred picture；
Identification module, for determining whether the first image is blurred picture according to the ambiguous identification information.
9. device as claimed in claim 8, which is characterized in that described first obtains module, comprising:
First acquisition unit, red R value, green G for each pixel that acquisition the first image includes from the first image
Value and indigo plant B value；
First determination unit determines the face of each pixel for the R value, G value and B value according to each pixel
Color；
Statistic unit counts the number of colors that the first image includes for the color according to each pixel.
10. device as claimed in claim 8, which is characterized in that described first obtains module, comprising:
Selection unit, it is described pre- for taking out the no overlapping of predetermined number and equal-sized image block from the first image
If number is the odd number greater than 8；
Second acquisition unit, the number of colors for including for obtaining each image block in the predetermined number image block respectively
The Laplce's response for the pixel for including with each image block；
Correspondingly, the statistical module, Laplce's response of the pixel for including according to each image block, point
The pixel quantity that Laplce's response that each image block includes is greater than default value is not counted.
11. device as claimed in claim 10, which is characterized in that
It is described second obtain module, number of colors and pixel quantity for including according to each image block, respectively from
The fuzzy of each image block is obtained in the corresponding relationship of number of colors range, pixel quantity range and ambiguous identification information
Identification information；
Correspondingly, the identification module, comprising:
Recognition unit determines whether each image block is mould for the ambiguous identification information according to each image block
Paste image；
Second determination unit, if the quantity of the blurred picture for including in each image block is greater than Non-blurred image
Quantity, it is determined that the first image is blurred picture.
12. device as claimed in claim 8, which is characterized in that described device further include:
Computing module, the average gray of the gray value for calculating the pixel that the first image includes；
Third obtains module, is used for according to the average gray, from the corresponding relationship of average gray range and default value
It is middle to obtain the default value.
13. device as claimed in claim 8, which is characterized in that described device further include:
Zoom module, for being first image of the size in default magnitude range by the second image scaling to be identified.
14. device as claimed in claim 13, which is characterized in that the Zoom module, comprising:
Third acquiring unit, for obtaining the image size of the second image to be identified；
4th acquiring unit, for according to described image size, from being obtained in the corresponding relationship of image magnitude range and zoom factor
Take zoom factor；
Unit for scaling, for being size in default magnitude range by second image scaling according to the zoom factor
First image.
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| CN109684913A (en) * | 2018-11-09 | 2019-04-26 | 长沙小钴科技有限公司 | A kind of video human face mask method and system based on community discovery cluster |
| CN109996062B (en) * | 2019-04-04 | 2020-08-11 | 广东省安心加科技有限公司 | Video image quality detection method and device, computer equipment and storage medium |
| CN112102147B (en) * | 2019-06-18 | 2022-03-08 | 腾讯科技（深圳）有限公司 | Background blurring identification method, device, equipment and storage medium |
| CN113466421B (en) * | 2021-06-21 | 2022-11-22 | 海南掌上天下网络技术有限公司 | Water quality monitoring system based on internet |
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| CN102903098A (en) * | 2012-08-28 | 2013-01-30 | 四川虹微技术有限公司 | Depth estimation method based on image definition difference |
| CN103353985B (en) * | 2013-03-27 | 2016-05-25 | 西华大学 | A kind of Measurement Method of image Gaussian Blur |
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