CN104200459A - Information processing method and electronic device - Google Patents
Information processing method and electronic device Download PDFInfo
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- CN104200459A CN104200459A CN201410379709.7A CN201410379709A CN104200459A CN 104200459 A CN104200459 A CN 104200459A CN 201410379709 A CN201410379709 A CN 201410379709A CN 104200459 A CN104200459 A CN 104200459A
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Abstract
The invention discloses an information processing method applied to an electronic device, wherein the electronic device is provided with a display unit. The method comprises the following steps that: at least two pixel points located in the same line with a first pixel point are acquired, the first pixel point is any pixel point in an image to be displayed, and the at least two pixel points are pixel points in the image to be displayed; Gaussian blur is carried out on the first pixel point and the at least two pixel points so as to acquire the first row Gaussian blur value of the first pixel point; the row Gaussian blur value of each pixel point in the image to be displayed is acquired, and then the row Gaussian blur image of the image to be displayed is acquired; the Gaussian blur image of the image to be displayed is acquired on the basis of the row Gaussian blur image, and the Gaussian blur image is displayed on the display unit. The invention further provides a corresponding electronic device.
Description
Technical field
The present invention relates to technical field of information processing, relate in particular to a kind of information processing method and electronic equipment.
Background technology
Development along with infotech; people can touch bulk information in daily life and work; due to image have clear, carry bulk information easily, so people usually can watch image by the display unit of electronic equipment, to obtain the bulk information of image carrying.
Gaussian Blur image is a kind of common image, refers to image is carried out to the image obtaining after Gaussian Blur is processed.Conventionally the display unit of electronic equipment shows that the process of Gaussian Blur image is: first image is carried out to Gaussian Blur processing, the Gaussian Blur image then obtaining after the display unit Graphics Processing by electronic equipment.
While image being carried out to Gaussian Blur processing in prior art, each pixel for composing images, centered by this pixel, a plurality of pixels that comprise this pixel and pixel around thereof are carried out to Gaussian Blur, each pixel in a plurality of pixels is multiplied by certain weight, then by results added, obtain the Gaussian Blur value of this pixel, and then obtain the Gaussian Blur image that this image is corresponding.
But in the process of present inventor's invention technical scheme in realizing the embodiment of the present application, find that above-mentioned technology at least exists following technical matters:
In prior art, the display unit of electronic equipment shows that the efficiency of Gaussian Blur image is low.Main cause is in prior art, image to be carried out to Gaussian Blur processing need to carry out a large amount of computings, takes a long time.The size of take is that the image that 1184 pixels are multiplied by 1440 pixels is example, for each pixel that forms this image, centered by this pixel, can choose this pixel 8 pixels around as the surrounding pixel point of this pixel, then these 8 surrounding pixel points and pixel itself are carried out to Gaussian Blur, each pixel is multiplied by certain weight, the results added of weight will be multiplied by again, therefore the calculated amount that obtains the Gaussian Blur image needs that this image is corresponding is: 1184 * 1440 * 9 * 9=138101760, obviously calculated amount is very huge.
Therefore the technical matters that, prior art exists is: the display unit of electronic equipment shows that the efficiency of Gaussian Blur image is low.
In prior art, image is carried out to Gaussian Blur processing and need to carry out a large amount of computings, take a long time.The size of take is that the image that 1184 pixels are multiplied by 1440 pixels is example, for each pixel that forms this image, pixel centered by this pixel, can choose this pixel 8 pixels around as the surrounding pixel point of this pixel, then these 8 surrounding pixel points and pixel itself are carried out to Gaussian Blur, each pixel is multiplied by certain weight, then will be multiplied by the results added of weight.
As shown in Figure 4, suppose that the central pixel point of choosing is pixel 45,8 surrounding pixel points choosing are: pixel 41, pixel 42, pixel 43, pixel 44, pixel 46, pixel 47, pixel 48, pixel 49, the Gaussian Blur value that obtains pixel 45 need to be carried out multiplication 9 times.Using size, be that 1184 pixels are multiplied by each pixel in the image of 1440 pixels as pixel 45, obtain the Gaussian Blur value of each pixel, and remove 9 pixels, 9 pixels that are positioned at right hand edge, 9 pixels that are positioned at coboundary that are positioned at left hand edge in this image, 9 pixels that are positioned at lower limb, obtain multiplication computation amount that the Gaussian Blur image of this image needs at least: (1184-9-9) * (1440-9-9) * 9=1658052, obviously calculated amount is very huge.
When step 14 adopts above-mentioned the second embodiment, the size of still take is that the image that 1184 pixels are multiplied by 1440 pixels is example, first choose arbitrary pixel in this image and with at least two pixels of a line, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in image to be displayed, and then acquisition row Gaussian Blur image, then, choose arbitrary pixel in row Gaussian Blur image and at least two pixels of same row thereof, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in row Gaussian Blur image, and then the Gaussian Blur image of acquisition image to be displayed.
Suppose in image to be displayed, the pixel of choosing is pixel (5,5), what choose with pixel (5,5) at 8 colleague's pixels of same a line is: pixel (5,1), (5,2), (5,3), (5,4), (5,6), (5,7), (5,8), (5,9), by pixel (5,5) and with pixel (5,5) each pixel in 8 colleague's pixels of same a line is multiplied by certain weight, to be multiplied by the results added of weight again, the row Gaussian Blur value that obtains pixel (5,5) need to be carried out multiplication 9 times.Because size is that the image that 1184 pixels are multiplied by 1440 pixels has 1184 row, and remove 9 pixels that are positioned at coboundary in this image, 9 pixels that are positioned at lower limb, obtain multiplication computation amount that the row Gaussian Blur image of this image needs at least: (1184-9-9) * 9=10494.
Then,, in the row Gaussian Blur image obtaining, suppose that the pixel of choosing is pixel (6,5) what, choose with pixel (6,5) at 8 colleague's pixels of same row is: pixel (6,1), (6,2), (6,3), (6,4), (6,6), (6,7), (6,8), (6,9), by pixel (6,5) and with pixel (6,5) each pixel in 8 colleague's pixels of same row be multiplied by certain weight, then will be multiplied by the results added of weight, the row Gaussian Blur value that obtains pixel (6,5) need to be carried out multiplication 9 times.Because size is that the image that 1184 pixels are multiplied by 1440 pixels has 1440 row, and remove 9 pixels that are positioned at left hand edge in this image, 9 pixels that are positioned at right hand edge, obtain multiplication computation amount that the Gaussian Blur image of this image needs at least: 10494+ (1440-9-9) * 9=23292, wherein, 10494 multiplication computation amount that at least need for obtaining row Gaussian Blur image.
Visible, when step 14 adopts above-mentioned the second embodiment, the method that obtains the Gaussian Blur image of image to be displayed has compared to existing technology reduced calculated amount, has improved and has obtained the efficiency of the Gaussian Blur image of image to be displayed, and then improved the efficiency that shows Gaussian Blur image.
Such scheme, for first carrying out Gaussian Blur line by line, after obtaining the row Gaussian Blur image of image to be displayed, then carries out Gaussian Blur by column to the row Gaussian Blur image obtaining, and then obtains the Gaussian image of image to be displayed.The i.e. scheme of " Row Column ".The following describes the scheme of " Column Row ", as shown in Figure 5, comprise the steps:
Step 51: at least two pixels at same row of acquisition and the first pixel, described the first pixel is the arbitrary pixel in image to be displayed, described at least two pixels are the pixel in described image to be displayed;
Step 52: described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtain the first row Gaussian Blur value of described the first pixel;
Step 53: obtain the row Gaussian Blur value of each pixel in described image to be displayed, and then obtain the row Gaussian Blur image of described image to be displayed;
Step 54: at least two pixels in same a line of acquisition and the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, described at least two pixels are the pixel in described row Gaussian Blur image;
Step 55: described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtain the second row Gaussian Blur value of described the second pixel;
Step 56: obtain the row Gaussian Blur value of each pixel in described row Gaussian Blur image, and then obtain the Gaussian Blur image of described image to be displayed.
Because the specific implementation process of the scheme of " Column Row " and the scheme of " Row Column " is similar, it is location parameter, the sequencing that is row or column is different, so the specific implementation process of the scheme of " Column Row " can, with reference to the implementation process of the scheme of above-mentioned " Row Column ", just repeat no more at this.
In the embodiment of the present invention, before execution step 11, can also carry out following steps:
Obtain the image size of an image and the demonstration size of described display unit;
Based on described image size and described demonstration size, determine the first subimage mating with described demonstration size in described image, specifically comprise: obtain for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image; Determine the preset coordinate position of described presupposed information correspondence on described image; For each pixel that forms described image, obtain the coordinate position of described each pixel; Judge whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned; When described, judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage; When described when the determination result is NO, determine that the pixel with described coordinate position is the pixel in described the second subimage;
Described the first subimage is defined as to described image to be displayed, and wherein, the first subimage size of described the first subimage is less than or equal to described image size.
Specifically, because user watches image by the display unit of electronic equipment conventionally, and be limited to the size of display unit, electronic equipment is in the image of central processing unit output, only some image can be presented on display unit, although another part image display unit has also received, and can not be seen by user.So, at central processing unit after display unit output image, can first determine the size of image and the size of display unit, then choose the part of mating with the size of display unit in image as the first subimage, finally the first subimage is defined as to image to be displayed.Because central processing unit may be greater than or equal to the demonstration size of display unit to the size of the image of display unit output, so image to be displayed may be the image of central processing unit output itself, or a part for the image of central processing unit output.
As for specifically using output image in which parts of images as the first subimage, it is image to be displayed, simultaneously using which part in output image as the second subimage, it is residual image, can obtain for dividing the presupposed information of described image, then according to the coordinate position of presupposed information coordinate position on the image of output, the image of output is divided.As a rule, presupposed information can be artificial setting, and the center section of artificially setting an image is image to be displayed, or the first half of artificially setting an image is image to be displayed.Certainly, presupposed information can be also that electronic equipment arranges voluntarily.
Presupposed information has coordinate position in the image of output, each pixel in output image also has coordinate position in output image, so the coordinate position of each pixel can be compared with the coordinate position of presupposed information, if the coordinate position of pixel is positioned on the coordinate position of presupposed information, this pixel can be defined as to the pixel in image to be displayed, if the coordinate position of pixel is positioned under the coordinate position of presupposed information, this pixel can be defined as to the pixel in residual image.The pixel that coordinate position can certainly be arranged under the coordinate position of presupposed information is defined as the pixel of image to be displayed, and coordinate position is arranged in to the pixel that pixel on the coordinate position of presupposed information is defined as residual image.
So, compared to existing technology, whole image is carried out to Gaussian Blur, in the embodiment of the present invention, only image to be displayed is carried out to Gaussian Blur, namely only choose the parts of images mating with the demonstration size of display unit in image and carry out Gaussian Blur, reduce calculated amount, improved the efficiency that shows Gaussian Blur image.
In the embodiment of the present invention, whole or a part of images of the image of central processing unit output are being defined as to image to be displayed, and after obtaining and showing the Gaussian Blur image of image to be displayed, can also carrying out following steps:
Detect and whether obtain picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
Described the second subimage is defined as to described image to be displayed.
Specifically, due to after execution of step 14, the Gaussian Blur image that has only shown a part of image of the image that central processing unit is exported on the display unit of electronic equipment, do not demonstrate whole Gaussian Blur images of the image of central processing unit output, the Gaussian Blur image showing is imperfect, so when user wants to watch complete Gaussian Blur image, can carries out image browse operation, for example: the display unit of touch-control electronic equipment upwards.When the central processing unit of electronic equipment detects after this picture browsing operation, just need to control the Gaussian Blur image that display unit shows remainder image, now, need to carry out Gaussian Blur processing to remainder image, so refreshing territory parts of images is defined as to image to be displayed, then perform step 11-step 14, and then show the Gaussian Blur image of remainder image.
Summary of the invention
The invention provides a kind of information processing method and electronic equipment, the display unit that has solved the electronic equipment of prior art existence shows the inefficient technical matters of Gaussian Blur image, a kind of method of new acquisition Gaussian Blur image is provided, has realized the technique effect of the efficiency of the display unit demonstration Gaussian Blur image that improves electronic equipment.
On the one hand, the embodiment of the present application provides a kind of information processing method, is applied in an electronic equipment, and described electronic equipment has a display unit, and described method comprises:
Obtain and at least two pixels of the first pixel in same a line, described the first pixel is the arbitrary pixel in image to be displayed, and described at least two pixels are the pixel in described image to be displayed;
Described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtain the first row Gaussian Blur value of described the first pixel;
Obtain the row Gaussian Blur value of each pixel in described image to be displayed, and then obtain the row Gaussian Blur image of described image to be displayed;
Based on described row Gaussian Blur image, obtain the Gaussian Blur image of described image to be displayed, and on described display unit, show described Gaussian Blur image.
Optionally, described based on described row Gaussian Blur image, obtain the Gaussian Blur image of described image to be displayed, also comprise:
At least two pixels at same row of acquisition and the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, described at least two pixels are the pixel in described row Gaussian Blur image;
Described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtain the secondary series Gaussian Blur value of described the second pixel;
Obtain the row Gaussian Blur value of each pixel in described row Gaussian Blur image, and then obtain the Gaussian Blur image of described image to be displayed.
Optionally, at described each pixel for forming image to be displayed, determine that with described each pixel described method also comprises before at least two pixels of going together of same a line:
Obtain the image size of an image and the demonstration size of described display unit;
Based on described image size and described demonstration size, determine the first subimage mating with described demonstration size in described image;
Described the first subimage is defined as to described image to be displayed, and wherein, the first subimage size of described the first subimage is less than or equal to described image size.
Optionally, show described Gaussian Blur image on described display unit after, described method also comprises:
Detect and whether obtain picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
Described the second subimage is defined as to described image to be displayed.
Optionally, described based on described image size and described demonstration size, determine the first subimage mating with described demonstration size in described image, specifically comprise:
Obtain for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image;
Determine the preset coordinate position of described presupposed information correspondence on described image;
For each pixel that forms described image, obtain the coordinate position of described each pixel;
Judge whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned;
When described, judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage;
When described when the determination result is NO, determine that the pixel with described coordinate position is the pixel in described the second subimage.
On the other hand, the embodiment of the present invention provides a kind of electronic equipment, and described electronic equipment has a display unit, and described electronic equipment also comprises:
First obtains unit, and for obtaining and at least two pixels of the first pixel in same a line, described the first pixel is the arbitrary pixel in image to be displayed, and described at least two pixels are the pixel in described image to be displayed;
The first Gaussian Blur processing unit, for described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtains the first row Gaussian Blur value of described the first pixel;
Row Gaussian Blur image obtains unit, for obtaining the row Gaussian Blur value of described each pixel of image to be displayed, and then obtains the row Gaussian Blur image of described image to be displayed;
Gaussian Blur image obtains unit, for based on described row Gaussian Blur image, obtains the Gaussian Blur image of described image to be displayed, and on described display unit, shows described Gaussian Blur image.
Optionally, described electronic equipment also comprises:
Second obtains unit, and for obtaining at least two pixels at same row with the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, and described at least two pixels are the pixel in described row Gaussian Blur image;
The second Gaussian Blur processing unit, for described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtains the secondary series Gaussian Blur value of described the second pixel;
Row Gaussian Blur image obtains unit, for obtaining the row Gaussian Blur value of described each pixel of row Gaussian Blur image, and then obtains the Gaussian Blur image of described image to be displayed.
Optionally, described electronic equipment also comprises:
The 3rd obtains unit, for obtaining the image size of an image and the demonstration size of described display unit;
The first determining unit, for based on described image size and described demonstration size, determines the first subimage mating with described demonstration size in described image;
The second determining unit, for described the first subimage is defined as to described image to be displayed, wherein, the first subimage size of described the first subimage is less than or equal to described image size.
Optionally, described electronic equipment also comprises:
Detecting unit, for detection of whether obtaining picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
The 3rd determining unit, for being defined as described image to be displayed by described the second subimage.
Optionally, described the first determining unit specifically comprises:
The 4th obtains unit, and for obtaining for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image;
The 4th determining unit, for determining the preset coordinate position of described presupposed information correspondence on described image;
The 5th obtains unit, for each pixel for forming described image, obtains the coordinate position of described each pixel;
Judging unit, for judging whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned;
The 6th determining unit, for when described in judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage;
The 7th determining unit, for when described when the determination result is NO, determines that the pixel with described coordinate position is the pixel in described the second subimage.
The one or more technical schemes that provide in the embodiment of the present invention, at least have following technique effect or advantage:
1, in the embodiment of the present invention, adopted arbitrary pixel of first choosing in image to be displayed and with at least two pixels of a line, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in image to be displayed, and then acquisition row Gaussian Blur image, again based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed, compared to existing technology, each pixel in image to be displayed and neighbor pixel thereof are carried out to Gaussian Blur, obtain the Gaussian Blur value of each pixel, and then the method for the Gaussian Blur image of acquisition image to be displayed, the embodiment of the present invention provides a kind of method of Gaussian Blur image of new acquisition image to be displayed, realized the technique effect of the efficiency of the display unit demonstration Gaussian Blur image that improves electronic equipment.
2, in the embodiment of the present invention, first obtain the row Gaussian Blur image of image to be displayed, then based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed, specifically, first, choose arbitrary pixel in image to be displayed and with at least two pixels of a line, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in image to be displayed, and then acquisition row Gaussian Blur image, then, choose arbitrary pixel in row Gaussian Blur image and at least two pixels of same row thereof, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in row Gaussian Blur image, and then the Gaussian Blur image of acquisition image to be displayed.
Compared to existing technology, each pixel in image to be displayed and neighbor pixel thereof are carried out to Gaussian Blur, obtain the Gaussian Blur value of each pixel, and then the method for the Gaussian Blur image of acquisition image to be displayed, owing to obtaining the method for the row Gaussian Blur value of each pixel in image to be displayed, and the method that obtains the row Gaussian Blur value of each pixel in row Gaussian Blur image has reduced calculated amount, so the method for the Gaussian Blur image of the acquisition image to be displayed that the embodiment of the present invention provides has reduced calculated amount, improved the efficiency that obtains the Gaussian Blur image of image to be displayed, and then improved the efficiency that shows Gaussian Blur image.
3, in the embodiment of the present invention, adopted in definite image the first subimage mating with the demonstration size of the display unit of electronic equipment, this first subimage is defined as to image to be displayed, the reentry technological means of Gaussian Blur image of image to be displayed, compared to existing technology, whole image is carried out to Gaussian Blur, in the embodiment of the present invention, only image to be displayed is carried out to Gaussian Blur, namely only choose the parts of images mating with the demonstration size of display unit in image and carry out Gaussian Blur, reduce calculated amount, improved the efficiency that shows Gaussian Blur image.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of information processing method in the embodiment of the present invention one;
Fig. 2 be in the embodiment of the present invention one with the schematic diagram of at least two pixels in same a line of the first pixel;
Fig. 3 be in the embodiment of the present invention one with the schematic diagram of at least two pixels at same row of the second pixel;
Fig. 4 is the schematic diagram of central pixel point and surrounding pixel point in prior art;
Fig. 5 is the process flow diagram of another kind of information processing method in the embodiment of the present invention one;
Fig. 6 is the module map of a kind of electronic equipment in the embodiment of the present invention two.
Embodiment
The embodiment of the present invention provides a kind of information processing method and electronic equipment, the display unit that has solved the electronic equipment of prior art existence shows the inefficient technical matters of Gaussian Blur image, a kind of method of new acquisition Gaussian Blur image is provided, has realized the technique effect of the efficiency of the display unit demonstration Gaussian Blur image that improves electronic equipment.
Technical scheme in the embodiment of the present invention is for solving above-mentioned technical matters, and general thought is as follows:
Adopted arbitrary pixel of first choosing in image to be displayed and with at least two pixels of a line, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in image to be displayed, and then acquisition row Gaussian Blur image, again based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed, compared to existing technology, each pixel in image to be displayed and neighbor pixel thereof are carried out to Gaussian Blur, obtain the Gaussian Blur value of each pixel, and then the method for the Gaussian Blur image of acquisition image to be displayed, the embodiment of the present invention provides a kind of method of Gaussian Blur image of new acquisition image to be displayed, realized the technique effect of the efficiency of the display unit demonstration Gaussian Blur image that improves electronic equipment.
For making object, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Term "and/or", is only a kind of incidence relation of describing affiliated partner herein, and expression can exist three kinds of relations, and for example, A and/or B, can represent: individualism A exists A and B, these three kinds of situations of individualism B simultaneously.In addition, character "/", generally represents that forward-backward correlation is to liking a kind of relation of "or" herein.
Below in conjunction with accompanying drawing, embodiments of the present invention are elaborated.
Embodiment mono-
The embodiment of the present invention provides a kind of information processing method, is applied to an electronic equipment, and described electronic equipment has a display unit.This electronic equipment can be: mobile phone, panel computer, notebook computer, intelligent watch etc.This display unit can be: LED display, touching display screen, flexible display screen etc.At this, be only that electronic equipment and display unit are illustrated, the embodiment of the present invention is not done any restriction to electronic equipment and display unit.
Please refer to Fig. 1, the information processing method that the embodiment of the present invention provides, comprises the following steps:
Step 11: obtain and at least two pixels of the first pixel in same a line, described the first pixel is the arbitrary pixel in image to be displayed, and described at least two pixels are the pixel in described image to be displayed;
Step 12: described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtain the first row Gaussian Blur value of described the first pixel;
Step 13: obtain the row Gaussian Blur value of each pixel in described image to be displayed, and then obtain the row Gaussian Blur image of described image to be displayed;
Step 14: based on described row Gaussian Blur image, obtain the Gaussian Blur image of described image to be displayed, and show described Gaussian Blur image on described display unit.
First to step 11, the specific implementation process to step 13 elaborates below.
Please refer to Fig. 2.Suppose that Fig. 2 is image to be displayed, first from image to be displayed, from Fig. 2, an optional pixel, as the first pixel, supposes to choose pixel 21 in Fig. 2 as the first pixel.Then from image to be displayed, choose and at least two pixels of the first pixel in same a line.When the first pixel is the pixel 21 in Fig. 2, with the first pixel at the pixel of same a line, have a plurality of, as the pixel 22 in Fig. 2, pixel 23, pixel 24, pixel 25 etc.So, when the first pixel is the pixel 21 in Fig. 2, can selected pixels point 22, pixel 23, pixel 24 as and at least two pixels of the first pixel in same a line.Can certainly selected pixels point 22, pixel 23, pixel 24, pixel 25 as and at least two pixels of the first pixel in same a line.
Specifically choose how many pixels as with at least two pixels of the first pixel in same a line, the application does not limit, as long as the quantity of the pixel of choosing is more than or equal to two, and the pixel of choosing and the first pixel are in same a line.In order accurately to obtain the row Gaussian Blur value of the first pixel as far as possible, at least should choose two pixels adjacent with the first pixel left and right, as with at least two pixels of the first pixel in same a line, and the quantity of the pixel of choosing is more, the row Gaussian Blur value of the first pixel of acquisition is just more accurate.
Chosen the first pixel and with at least two pixels of the first pixel in same a line after, just can carry out Gaussian Blur processing to this first pixel and this at least two pixels, and then obtain the row Gaussian Blur value of this first pixel.Due to Gaussian Blur, processing is prior art, so the process of Gaussian Blur being processed at this is only carried out brief description.The pixel that conventionally need to obtain Gaussian Blur value is as central pixel point, then Selection Center pixel pixel around.In order to obtain the Gaussian Blur value of central pixel point, central pixel point and the central pixel point chosen pixel around all needs to participate in Gaussian Blur to be processed, according to Gaussian Blur matrix, can determine the weighted value of each pixel in the pixel that participates in Gaussian Blur processing, then the gray-scale value of each pixel is multiplied by the weighted value of this pixel, result of product is added, the result of addition is the Gaussian Blur value of central pixel point again.
Please refer to Fig. 2, suppose to choose pixel 21 in Fig. 2 as the first pixel, and choose two pixels adjacent with the first pixel left and right, choose the pixel 22 adjacent with pixel 21 left sides, pixel 23 conduct and at least two pixels of the first pixel in same a line adjacent with pixel 21 right sides, so this first pixel and this at least two pixels are carried out to Gaussian Blur, the detailed process that obtains the first row Gaussian Blur value of this first pixel is:
According to Gaussian Blur matrix, first determine that the first pixel is the weighted value of pixel 23 in the weighted value of pixel 22 in the weighted value of pixel 21, at least two pixels, at least two pixels.Then obtain the gray-scale value of pixel 21 and the product of its weighted value, the gray-scale value of pixel 22 and the product of its weighted value, the gray-scale value of pixel 23 and the product of its weighted value.Finally three result of product that obtain are added, having obtained the first pixel is the first row Gaussian Blur value of pixel 21.
According to the method that obtains the first row Gaussian Blur value of the first pixel, can obtain the row Gaussian Blur value of each pixel in image to be displayed.Specifically, can, using each pixel in image to be displayed as the first pixel, then according to the method that obtains the first row Gaussian Blur value of the first pixel, can obtain the row Gaussian Blur value of each pixel.And then can obtain the row Gaussian Blur image of image to be displayed, the gray-scale value of each pixel in row Gaussian Blur image is the row Gaussian Blur value of this pixel.
After obtaining the row Gaussian Blur image of image to be displayed, row Gaussian Blur image buffer storage can be got up, then perform step 14, based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed.
In the embodiment of the present invention, step 14 has and is not limited to following two kinds of embodiments:
The first embodiment: for each pixel that forms row Gaussian Blur image, adopt the method that obtains Gaussian Blur value in prior art, obtain the Gaussian Blur image of image to be displayed.
Specifically, for each pixel that forms row Gaussian Blur image, centered by this pixel, a plurality of pixels that comprise this pixel and pixel around thereof are carried out to Gaussian Blur, each pixel in a plurality of pixels is multiplied by certain weight, then by results added, obtain the Gaussian Blur value of this pixel, and then obtain the Gaussian Blur image of image to be displayed.
When step 14 adopts above-mentioned the first embodiment, due in the process of Gaussian Blur image that obtains image to be displayed, first obtain the row Gaussian Blur image of image to be displayed, then obtain the Gaussian Blur value of each pixel in row Gaussian Blur image, and then acquisition Gaussian Blur image, so directly obtain the Gaussian Blur value of each pixel in image to be displayed in prior art, and then the method for acquisition Gaussian Blur image, the embodiment of the present invention provides a kind of method of Gaussian Blur image of new acquisition image to be displayed, realized the technique effect of the efficiency of the display unit demonstration Gaussian Blur image that improves electronic equipment.
The second embodiment: at least two pixels at same row of acquisition and the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, described at least two pixels are the pixel in described row Gaussian Blur image; Described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtain the secondary series Gaussian Blur value of described the second pixel; Obtain the row Gaussian Blur value of each pixel in described row Gaussian Blur image, and then obtain the Gaussian Blur image of described image to be displayed.
Specifically, please refer to Fig. 3.Suppose that Fig. 3 is the row Gaussian Blur image that execution of step 13 obtains, first from row Gaussian Blur image, from Fig. 3, an optional pixel, as the second pixel, supposes to choose pixel 31 in Fig. 3 as the second pixel.Then from row Gaussian Blur image, choose and at least two pixels of the second pixel at same row.When the second pixel is the pixel 31 in Fig. 3, with the second pixel at the pixel of same row, have a plurality of, as the pixel 32 in Fig. 3, pixel 33, pixel 34, pixel 35 etc.So, when the second pixel is the pixel 31 in Fig. 3, can selected pixels point 32, pixel 33, pixel 34 as and at least two pixels of the second pixel at same row.Can certainly selected pixels point 32, pixel 33, pixel 34, pixel 35 as and at least two pixels of the second pixel at same row.
Specifically choose how many pixels as with at least two pixels of the second pixel at same row, the application does not limit, as long as the quantity of the pixel of choosing is more than or equal to two, and the pixel of choosing and the second pixel are at same row.In order accurately to obtain the row Gaussian Blur value of the second pixel as far as possible, at least should choose two pixels neighbouring with the second pixel, as with at least two pixels of the second pixel at same row, and the quantity of the pixel of choosing is more, the row Gaussian Blur value of the second pixel of acquisition is just more accurate.
Chosen the second pixel and with at least two pixels of the second pixel at same row after, just can enter row Gaussian Blur to this second pixel and this at least two pixels and process, and then obtain the row Gaussian Blur value of this second pixel.
Please refer to Fig. 3, suppose to choose pixel 31 in Fig. 3 as the second pixel, and choose two pixels neighbouring with the second pixel, choose with pixel 31 on adjacent pixel 32, the pixel 33 adjacent with pixel 31 times as and at least two pixels of the second pixel at same row, so this second pixel and this at least two pixels are carried out to Gaussian Blur, the detailed process that obtains the secondary series Gaussian Blur value of this second pixel is:
According to Gaussian Blur matrix, first determine that the second pixel is the weighted value of pixel 33 in the weighted value of pixel 32 in the weighted value of pixel 31, at least two pixels, at least two pixels.Then obtain the gray-scale value of pixel 31 and the product of its weighted value, the gray-scale value of pixel 32 and the product of its weighted value, the gray-scale value of pixel 33 and the product of its weighted value.Finally three result of product that obtain are added, having obtained the second pixel is the secondary series Gaussian Blur value of pixel 31.
According to the method that obtains the secondary series Gaussian Blur value of the second pixel, can obtain the row Gaussian Blur value of each pixel in row Gaussian Blur image.Specifically, can, using each pixel in row Gaussian Blur image as the second pixel, then according to the method that obtains the secondary series Gaussian Blur value of the second pixel, can obtain the row Gaussian Blur value of each pixel.And then can obtain the Gaussian Blur image of image to be displayed, the gray-scale value of each pixel in Gaussian Blur image is the row Gaussian Blur value of this pixel.
When step 14 adopts above-mentioned the second embodiment, first obtain the row Gaussian Blur image of image to be displayed, then based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed, compared to existing technology, each pixel in image to be displayed and neighbor pixel thereof are carried out to Gaussian Blur, obtain the Gaussian Blur value of each pixel, and then the method for the Gaussian Blur image of acquisition image to be displayed, owing to obtaining the method for the row Gaussian Blur value of each pixel in image to be displayed, and the method that obtains the row Gaussian Blur value of each pixel in row Gaussian Blur image has reduced calculated amount, so the method for the Gaussian Blur image of the acquisition image to be displayed that the embodiment of the present invention provides has reduced calculated amount, improved the efficiency that obtains the Gaussian Blur image of image to be displayed, and then improved the efficiency that shows Gaussian Blur image.
In calculated amount while adopting above-mentioned the second embodiment about step 14 and prior art, obtain the calculated amount contrast of the method for Gaussian Blur image, lift an object lesson below and describe in detail.
Embodiment bis-
Based on same inventive concept, a kind of electronic equipment is also provided in the embodiment of the present invention, because the principle that this electronic equipment is dealt with problems is similar to information processing method, so the enforcement of this electronic equipment can, referring to the enforcement of method, repeat part and repeat no more.
As shown in Figure 6, the embodiment of the present invention provides a kind of electronic equipment, and described electronic equipment has a display unit, and described electronic equipment also comprises:
First obtains unit 10, and for obtaining and at least two pixels of the first pixel in same a line, described the first pixel is the arbitrary pixel in image to be displayed, and described at least two pixels are the pixel in described image to be displayed;
The first Gaussian Blur processing unit 20, for described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtains the first row Gaussian Blur value of described the first pixel;
Row Gaussian Blur image obtains unit 30, for obtaining the row Gaussian Blur value of described each pixel of image to be displayed, and then obtains the row Gaussian Blur image of described image to be displayed;
Gaussian Blur image obtains unit 40, for based on described row Gaussian Blur image, obtains the Gaussian Blur image of described image to be displayed, and on described display unit, shows described Gaussian Blur image.
Optionally, described electronic equipment also comprises:
Second obtains unit, and for obtaining at least two pixels at same row with the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, and described at least two pixels are the pixel in described row Gaussian Blur image;
The second Gaussian Blur processing unit, for described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtains the secondary series Gaussian Blur value of described the second pixel;
Row Gaussian Blur image obtains unit, for obtaining the row Gaussian Blur value of described each pixel of row Gaussian Blur image, and then obtains the Gaussian Blur image of described image to be displayed.
Optionally, described electronic equipment also comprises:
The 3rd obtains unit, for obtaining the image size of an image and the demonstration size of described display unit;
The first determining unit, for based on described image size and described demonstration size, determines the first subimage mating with described demonstration size in described image;
The second determining unit, for described the first subimage is defined as to described image to be displayed, wherein, the first subimage size of described the first subimage is less than or equal to described image size.
Optionally, described electronic equipment also comprises:
Detecting unit, for detection of whether obtaining picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
The 3rd determining unit, for being defined as described image to be displayed by described the second subimage.
Optionally, described the first determining unit specifically comprises:
The 4th obtains unit, and for obtaining for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image;
The 4th determining unit, for determining the preset coordinate position of described presupposed information correspondence on described image;
The 5th obtains unit, for each pixel for forming described image, obtains the coordinate position of described each pixel;
Judging unit, for judging whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned;
The 6th determining unit, for when described in judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage;
The 7th determining unit, for when described when the determination result is NO, determines that the pixel with described coordinate position is the pixel in described the second subimage.
Technical scheme in the invention described above embodiment, at least has following technique effect or advantage:
1, in the embodiment of the present invention, adopted arbitrary pixel of first choosing in image to be displayed and with at least two pixels of a line, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in image to be displayed, and then acquisition row Gaussian Blur image, again based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed, compared to existing technology, each pixel in image to be displayed and neighbor pixel thereof are carried out to Gaussian Blur, obtain the Gaussian Blur value of each pixel, and then the method for the Gaussian Blur image of acquisition image to be displayed, the embodiment of the present invention provides a kind of method of Gaussian Blur image of new acquisition image to be displayed, realized the technique effect of the efficiency of the display unit demonstration Gaussian Blur image that improves electronic equipment.
2, in the embodiment of the present invention, first obtain the row Gaussian Blur image of image to be displayed, then based on row Gaussian Blur image, obtain the Gaussian Blur image of image to be displayed, specifically, first, choose arbitrary pixel in image to be displayed and with at least two pixels of a line, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in image to be displayed, and then acquisition row Gaussian Blur image, then, choose arbitrary pixel in row Gaussian Blur image and at least two pixels of same row thereof, carry out Gaussian Blur, obtain the row Gaussian Blur value of this arbitrary pixel, according to identical method, obtain the row Gaussian Blur value of each pixel in row Gaussian Blur image, and then the Gaussian Blur image of acquisition image to be displayed.
Compared to existing technology, each pixel in image to be displayed and neighbor pixel thereof are carried out to Gaussian Blur, obtain the Gaussian Blur value of each pixel, and then the method for the Gaussian Blur image of acquisition image to be displayed, owing to obtaining the method for the row Gaussian Blur value of each pixel in image to be displayed, and the method that obtains the row Gaussian Blur value of each pixel in row Gaussian Blur image has reduced calculated amount, so the method for the Gaussian Blur image of the acquisition image to be displayed that the embodiment of the present invention provides has reduced calculated amount, improved the efficiency that obtains the Gaussian Blur image of image to be displayed, and then improved the efficiency that shows Gaussian Blur image.
3, in the embodiment of the present invention, adopted in definite image the first subimage mating with the demonstration size of the display unit of electronic equipment, this first subimage is defined as to image to be displayed, the reentry technological means of Gaussian Blur image of image to be displayed, compared to existing technology, whole image is carried out to Gaussian Blur, in the embodiment of the present invention, only image to be displayed is carried out to Gaussian Blur, namely only choose the parts of images mating with the demonstration size of display unit in image and carry out Gaussian Blur, reduce calculated amount, improved the efficiency that shows Gaussian Blur image.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt complete hardware implementation example, implement software example or in conjunction with the form of the embodiment of software and hardware aspect completely.And the present invention can adopt the form that wherein includes the upper computer program of implementing of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code one or more.
The present invention is with reference to describing according to process flow diagram and/or the block scheme of the method for the embodiment of the present invention, equipment (system) and computer program.Should understand can be in computer program instructions realization flow figure and/or block scheme each flow process and/or the flow process in square frame and process flow diagram and/or block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, the instruction of carrying out by the processor of computing machine or other programmable data processing device is produced for realizing the device in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, the instruction that makes to be stored in this computer-readable memory produces the manufacture that comprises command device, and this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make to carry out sequence of operations step to produce computer implemented processing on computing machine or other programmable devices, thereby the instruction of carrying out is provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame on computing machine or other programmable devices.
Specifically, computer program instructions corresponding to a kind of information processing method in the embodiment of the present application can be stored in CD, hard disk, on the storage mediums such as USB flash disk, when the computer program instructions corresponding with a kind of information processing method in storage medium read or be performed by an electronic equipment, comprise the steps:
At least two pixels in same a line of acquisition and the first pixel, described the first pixel is the arbitrary pixel in image to be displayed, described at least two pixels are the pixel in described image to be displayed;
Described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtain the first row Gaussian Blur value of described the first pixel;
Obtain the row Gaussian Blur value of each pixel in described image to be displayed, and then obtain the row Gaussian Blur image of described image to be displayed;
Based on described row Gaussian Blur image, obtain the Gaussian Blur image of described image to be displayed, and on described display unit, show described Gaussian Blur image.
Optionally, that store in described storage medium and step: based on described row Gaussian Blur image, obtain the Gaussian Blur image of described image to be displayed, corresponding computer instruction, being specifically performed in process, also comprises the steps:
At least two pixels at same row of acquisition and the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, described at least two pixels are the pixel in described row Gaussian Blur image;
Described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtain the secondary series Gaussian Blur value of described the second pixel;
Obtain the row Gaussian Blur value of each pixel in described row Gaussian Blur image, and then obtain the Gaussian Blur image of described image to be displayed.
Optionally, in described storage medium, also store other computer instruction, these computer instructions with step: for each pixel that forms image to be displayed, determine and at least two the go together pixels of described each pixel in same a line, before corresponding computer instruction is performed, be performed, when being performed, comprise the steps:
Obtain the image size of an image and the demonstration size of described display unit;
Based on described image size and described demonstration size, determine the first subimage mating with described demonstration size in described image;
Described the first subimage is defined as to described image to be displayed, and wherein, the first subimage size of described the first subimage is less than or equal to described image size.
Optionally, in described storage medium, also store other computer instruction, these computer instructions with step: on display unit, show described Gaussian Blur image, after corresponding computer instruction is performed, be performed, when being performed, comprise the steps:
Detect and whether obtain picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
Described the second subimage is defined as to described image to be displayed.
Optionally, that store in described storage medium and step: big or small based on described image size and described demonstrations, determine the first subimage mating with described demonstration size in described image, corresponding computer instruction, being specifically performed in process, also comprises the steps:
Obtain for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image;
Determine the preset coordinate position of described presupposed information correspondence on described image;
For each pixel that forms described image, obtain the coordinate position of described each pixel;
Judge whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned;
When described, judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage;
When described when the determination result is NO, determine that the pixel with described coordinate position is the pixel in described the second subimage.
Although described the preferred embodiments of the present invention, once those skilled in the art obtain the basic creative concept of cicada, can make other change and modification to these embodiment.So claims are intended to all changes and the modification that are interpreted as comprising preferred embodiment and fall into the scope of the invention.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.
Claims (10)
1. an information processing method, is applied in an electronic equipment, and described electronic equipment has a display unit, and described method comprises:
Obtain and at least two pixels of the first pixel in same a line, described the first pixel is the arbitrary pixel in image to be displayed, and described at least two pixels are the pixel in described image to be displayed;
Described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtain the first row Gaussian Blur value of described the first pixel;
Obtain the row Gaussian Blur value of each pixel in described image to be displayed, and then obtain the row Gaussian Blur image of described image to be displayed;
Based on described row Gaussian Blur image, obtain the Gaussian Blur image of described image to be displayed, and on described display unit, show described Gaussian Blur image.
2. the method for claim 1, is characterized in that, described based on described row Gaussian Blur image, obtains the Gaussian Blur image of described image to be displayed, also comprises:
At least two pixels at same row of acquisition and the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, described at least two pixels are the pixel in described row Gaussian Blur image;
Described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtain the secondary series Gaussian Blur value of described the second pixel;
Obtain the row Gaussian Blur value of each pixel in described row Gaussian Blur image, and then obtain the Gaussian Blur image of described image to be displayed.
3. the method for claim 1, is characterized in that, at described each pixel for forming image to be displayed, determines that with described each pixel described method also comprises before at least two pixels of going together of same a line:
Obtain the image size of an image and the demonstration size of described display unit;
Based on described image size and described demonstration size, determine the first subimage mating with described demonstration size in described image;
Described the first subimage is defined as to described image to be displayed, and wherein, the first subimage size of described the first subimage is less than or equal to described image size.
4. method as claimed in claim 3, is characterized in that, show described Gaussian Blur image on described display unit after, described method also comprises:
Detect and whether obtain picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
Described the second subimage is defined as to described image to be displayed.
5. method as claimed in claim 4, is characterized in that, described based on described image size and described demonstration size, determines the first subimage mating with described demonstration size in described image, specifically comprises:
Obtain for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image;
Determine the preset coordinate position of described presupposed information correspondence on described image;
For each pixel that forms described image, obtain the coordinate position of described each pixel;
Judge whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned;
When described, judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage;
When described when the determination result is NO, determine that the pixel with described coordinate position is the pixel in described the second subimage.
6. an electronic equipment, described electronic equipment has a display unit, and described electronic equipment also comprises:
First obtains unit, and for obtaining and at least two pixels of the first pixel in same a line, described the first pixel is the arbitrary pixel in image to be displayed, and described at least two pixels are the pixel in described image to be displayed;
The first Gaussian Blur processing unit, for described the first pixel and described at least two pixels are carried out to Gaussian Blur, obtains the first row Gaussian Blur value of described the first pixel;
Row Gaussian Blur image obtains unit, for obtaining the row Gaussian Blur value of described each pixel of image to be displayed, and then obtains the row Gaussian Blur image of described image to be displayed;
Gaussian Blur image obtains unit, for based on described row Gaussian Blur image, obtains the Gaussian Blur image of described image to be displayed, and on described display unit, shows described Gaussian Blur image.
7. electronic equipment as claimed in claim 6, is characterized in that, described electronic equipment also comprises:
Second obtains unit, and for obtaining at least two pixels at same row with the second pixel, described the second pixel is the arbitrary pixel in described row Gaussian Blur image, and described at least two pixels are the pixel in described row Gaussian Blur image;
The second Gaussian Blur processing unit, for described the second pixel and described at least two pixels are carried out to Gaussian Blur, obtains the secondary series Gaussian Blur value of described the second pixel;
Row Gaussian Blur image obtains unit, for obtaining the row Gaussian Blur value of described each pixel of row Gaussian Blur image, and then obtains the Gaussian Blur image of described image to be displayed.
8. electronic equipment as claimed in claim 6, is characterized in that, described electronic equipment also comprises:
The 3rd obtains unit, for obtaining the image size of an image and the demonstration size of described display unit;
The first determining unit, for based on described image size and described demonstration size, determines the first subimage mating with described demonstration size in described image;
The second determining unit, for described the first subimage is defined as to described image to be displayed, wherein, the first subimage size of described the first subimage is less than or equal to described image size.
9. electronic equipment as claimed in claim 8, is characterized in that, described electronic equipment also comprises:
Detecting unit, for detection of whether obtaining picture browsing operation, described picture browsing operation is for controlling the second Gaussian Blur image corresponding to the second subimage that described display unit shows described image, and described the second subimage is the residual image except described the first subimage in described image;
The 3rd determining unit, for being defined as described image to be displayed by described the second subimage.
10. electronic equipment as claimed in claim 9, is characterized in that, described the first determining unit specifically comprises:
The 4th obtains unit, and for obtaining for dividing the presupposed information of described image, described presupposed information is divided into described the first subimage and described the second subimage by described image;
The 4th determining unit, for determining the preset coordinate position of described presupposed information correspondence on described image;
The 5th obtains unit, for each pixel for forming described image, obtains the coordinate position of described each pixel;
Judging unit, for judging whether the position relationship between described coordinate position and described preset coordinate position meets pre-conditioned;
The 6th determining unit, for when described in judgment result is that while being, determine that the pixel with described coordinate position is the pixel in described the first subimage;
The 7th determining unit, for when described when the determination result is NO, determines that the pixel with described coordinate position is the pixel in described the second subimage.
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