CN104601922B - The store media that image treatment method, electronic device, electronic device can be read and the program applied to electronic device - Google Patents
The store media that image treatment method, electronic device, electronic device can be read and the program applied to electronic device Download PDFInfo
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- CN104601922B CN104601922B CN201310534885.9A CN201310534885A CN104601922B CN 104601922 B CN104601922 B CN 104601922B CN 201310534885 A CN201310534885 A CN 201310534885A CN 104601922 B CN104601922 B CN 104601922B
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Abstract
The invention discloses the store media that a kind of image treatment method, electronic device, electronic device can be read and the program applied to electronic device.This method includes：Receive the first image；In setting first area on the first image, and first area includes lines；Calculate the first average value of first area；Computing is carried out to the first image with the first parameter to produce the second image；The second area of the second image is set according to first area, and calculates the second average value of second area；Calculate the difference of the first average value and the second average value；And determine to substitute the first image with the second image according to difference.Image treatment method, electronic device, the store media that electronic device can be read and the program applied to electronic device disclosed by the invention, can post-process image.
Description
Technical field
The store media that can be read the present invention relates to a kind of image treatment method, electronic device, electronic device is with being applied to
The program of electronic device；More particularly to a kind of image treatment method post-processed to image, electronic device, electronic device can
The store media of reading and the program applied to electronic device.
Background technology
Optical mirror slip is widely used in camera, video camera, telescope, microscope etc., it is using the refraction of light by object
Focus on focussing plane.But there is the problem of dispersion to exist for eyeglass refraction, that is, the light of different colours has different frequencies
From different refractive index, the contour of object caused in image so to partially purple or partially blue situation occurs.
It is main reasons is that during shooting, on the premise of contrast between multiple subjects is larger, bloom
There is the phenomenon of the color astigmat such as color spot, the color exception edge line generally occurred in color astigmat phenomenon with low smooth position intersection
Bar is typically inclined purple or blueness.It can be read therefore, it is necessary to provide a kind of image treatment method, electronic device, electronic device
Store media with applied to electronic device program, to solve the missing of the prior art.
The content of the invention
The storage that can be read it is a primary object of the present invention to propose a kind of image treatment method, electronic device, electronic device
Media, and the program applied to electronic device are deposited, image can be post-processed.
To reach above-mentioned purpose, the present invention provides a kind of image treatment method, includes one first image of reception；In this first
An at least first area is set on image, and the first area includes an at least lines；Calculate the first area one first is flat
Average；Computing is carried out to first image with one first parameter, to produce one second image；According to the first area set this
One second area of two images, and calculate one second average value of the second area；It is second flat with this to calculate first average value
One difference of average；And determine to substitute first image with second image according to the difference.
The present invention provides a kind of electronic device, includes a storage module and a computing module.Storage module storage one the
One image.The computing module sets a first area according to a lines of first image, and one first is calculated to the first area
After average value, one second image is formed by one first parameter and first image, and to a second area of second image
Calculate one second average value, and according to a difference of first average value and second average value judge to retain first image or
Second image.
The present invention provides a kind of program applied to electronic device, can after the electronic device loads the program and starts
Perform an image treatment method.The image treatment method includes：Receive one first image；In setting at least one on first image
First area, and the first area includes an at least lines；Calculate one first average value of the first area；With one first parameter
Computing is carried out to first image, to produce one second image；One second area of second image is set according to the first area
Domain, and calculate one second average value of the second area；Calculate a difference of first average value and second average value；And
Determine to substitute first image with second image according to the difference.
The present invention provides the store media that a kind of electronic device can be read, which stores a program.When an electronics
After device loads the program and starts, an image treatment method can perform.The image treatment method includes：Receive one first shadow
Picture；In setting an at least first area on first image, and the first area includes an at least lines；Calculate the first area
One first average value；Computing is carried out to first image with one first parameter, to produce one second image；According to firstth area
Domain sets a second area of second image, and calculates one second average value of the second area；Calculate first average value
With a difference of second average value；And determine to substitute first image with second image according to the difference.
Below in conjunction with the drawings and specific embodiments, the present invention will be described in detail, but not as a limitation of the invention.
Brief description of the drawings
Figure 1A is the system architecture diagram of one embodiment of the invention；
Figure 1B is the system architecture diagram of another embodiment of the present invention；
Fig. 2A is the step flow chart of the image treatment method of one embodiment of the invention；
The step of Fig. 2 B are the first average value of calculating first area of the image treatment method of one embodiment of the invention
Flow chart；
The step of Fig. 2 C are the second average value of computing second area of the image treatment method of one embodiment of the invention
Flow chart；
Fig. 3 A are the first image schematic diagrames of one embodiment of the invention；
Fig. 3 B are the first area schematic diagrames of first image of one embodiment of the invention；
Fig. 3 C are the second area schematic diagrames of second image of one embodiment of the invention；
Fig. 4 A represent the schematic diagram of Sobel (Sobel) shielding in x directions；
Fig. 4 B represent the schematic diagram of Sobel (Sobel) shielding in y directions.
Specific embodiment
For allow the present invention above and other objects, features and advantages can become apparent, it is cited below particularly go out the present invention
Specific embodiment, and coordinate institute's accompanying drawings, it is described in detail below.
Figure 1A is refer to, is the system architecture diagram according to one embodiment of the invention.As shown in Figure 1A, a reality of the invention
Apply in example, electronic device mainly includes storage module 10 and computing module 20.In this present embodiment, electronic device can also include
Photographing module 30 and display module 40.Wherein, storage module 10 can be the store medias such as memory or hard disk；Computing module 20 is then
It can be arithmetic center or signal processor, or be implemented using any kind of universal or special integrated circuit, for example, it is any
The microprocessor of species, microcontroller, digital signal processor, sequencing array and/or analog or System on Chip/SoC
(System on Chip, SoC), it uses any suitable process circuit under the control of any suitable control logic；Shooting
Module 30 includes at least a pick-up lens and an image sensing component；The e.g. LCD Panel of display module 40, one touch
Panel, or flexible display are controlled, but the present invention is not limited.
In one embodiment of the invention, electronic device can be digital camera, Video Camera, mobile phone, driving recorder, flat
Plate computer ... etc., but the present invention is not limited, and electronic device can also be general desktop computer, laptop
Deng, or the equipment for being subjected to and handling the exterior image inputted.
Referring again to Figure 1B, Figure 1B is the system architecture diagram of another embodiment of the present invention.Figure 1B is substantially identical with Figure 1A,
And continue to use the symbol of Figure 1A, so as shown in Figure 1B, photographing module 30 and/or display module 40 can be applied to electronic device,
Without limiting the present invention.
According to another embodiment of the present invention, above-mentioned modules except can be configured to hardware unit, software program, firmware or
Outside it is combined, it can also be configured by circuit loop or other patterns；Also, modules except can individually pattern configuration in addition to, also
Combinable pattern configuration.In addition, present embodiment only illustrates presently preferred embodiments of the present invention, to avoid repeating, not in detail
Add and record all possible change combination.However, the usual skill of this area is, it is to be appreciated that above-mentioned each module or component may not
It is all necessary.And to implement the present invention, it may also include the known module or component of other more details.Each module or component all may be used
It can be omitted or be changed depending on demand, and other module or components may not be not present in wantonly two intermodule.
Next Fig. 2A, Fig. 2 B, Fig. 2 C, Fig. 3 A, Fig. 3 B and Fig. 3 C be please also refer to.
Fig. 2A is the step flow chart of the image treatment method of one embodiment of the invention；Fig. 2 B are the implementation of the present invention
The step flow chart of first average value of the calculating first area of the image treatment method of example；Fig. 2 C are one embodiment of the invention
Image treatment method computing second area the second average value step flow chart.Fig. 3 A are one embodiment of the invention
First image schematic diagram；Fig. 3 B are the first area schematic diagrames of first image of one embodiment of the invention；And Fig. 3 C are these
The second area schematic diagram of second image of one embodiment of invention.
Below by with the storage module 10 shown in Figure 1A and Figure 1B, computing module 20 and/or photographing module 30 and/or aobvious
Show that module 40 illustrates the image treatment method of the present invention.
Step S21 is carried out first：Receive the first image.
As shown in Figure 3A, the first image 300 is stored in storage module by electronic device after one first image 300 is obtained
In 10, and shown in display module 40.Wherein, user draws lines in judging whether generation color astigmat on the first image 300
301st, 302,303, or distinguish that image 300 occurs color astigmat and draws lines 301,302,303 automatically by electronic device, then by
Computing module 20 receives lines 301,302,303.
Then step S22 is carried out：In setting first area on the first image, and first area includes lines.
Foundation one embodiment of the invention, as shown in Figure 3B, after computing module 20 receives lines 301,302,303, i.e.,
According to the lines 301,302,303 of the first image 300, first area 304,305,306 is set respectively.For example, each first
Region 304,305,306 includes lines 301,302,303 respectively.
Specifically, by taking lines 301 as an example, computing module 20 prolongs first direction centered on lines 301, such as radially, prolongs
The first distance d1 is stretched, and centered on lines 301, prolongs second direction, such as normal direction, extends second distance d2, two directions of setting are prolonged
The region stretched is first area 304.Wherein, the first distance d1 can be the distance of 3 to 10 pixels, and second distance d2 can be
The distance of 3 to 10 pixels, but the present invention is not limited thereto.
In addition, in another embodiment, when have multiple lines 301,302,303 very close to or it is intersecting when, the first image 300
Also a first area 304,305,306 can be set out according to adjacent and/or intersecting lines 301,302,303.That is, practice
On, the number of first area 304,305,306 can be less equal than the number of lines 301,302,303, and first area
304th, the lines 301,302,303 of one or more may be present in the range of 305,306, without limit each first area 304,
305th, 306 it is only capable of that there are a lines 301,302,303.
Then step S23 is carried out：Calculate the first average value of first area.
After first area 304,305,306 is set, then first area 304,305,306 is calculated by computing module 20
First average value.And according to one embodiment of the invention, step S23 can be subdivided into step S231, step S232 and step S233.
Step S231：Grayscale conversion is carried out to multiple first areas.
Grayscale conversion is carried out to first area 304,305,306 by computing module 20 first, obtains grey-tone image.
Step S232：Multiple first areas are performed with gradient calculation to obtain corresponding multiple first gradient average values.
Then gradient calculation is performed respectively to respectively obtain first to first area 304,305,306 by computing module 20
The first gradient average value in region 304,305,306.According to one embodiment of the invention, computing module 20 is to perform Sobel
(Sobel) algorithm is to carry out gradient calculating, but the present invention is not limited thereto.
The present invention surveys side shielding to calculate the gradient magnitude of pixel in image using Sobel (Sobel), described below
The computing mode.Using such as 4A figure and 4B figure shown in represent x directions and the two 3 × 3 shieldings of y directions respectively, respectively with
Product (convolution) is done back in first area 304,305,306, and to draw, pixel institute is in place in first area 304,305,306
The perpendicular gradient magnitudes and horizontal gradient value put, wherein representing perpendicular gradient magnitudes, ▽ y G (x, y) generations with ▽ x G (x, y)
Table horizontal gradient value, detailed calculating process are as follows：
▽x G(2,2)
=[G (3,1)-G (1,1)]+2 × [G (3,2)-G (1,2)]+[G (3,3)-G (1,3)]
▽y G(2,2)
=[G (1,3)-G (1,1)]+2 × [G (2,3)-G (2,1)]+[G (3,3)-G (3,1)]
The summed square of the gradient magnitude in the two vertical and horizontal directions is opened into radical sign, its value is pixel position
Gradient magnitude (gradient magnitude), referred to as MG (x, y).
After Sobel (Sobel) algorithm is performed respectively to first area 304,305,306, can obtain first area 304,
305th, in 306 multiple pixels Grad.Then computing module 20 is again respectively by multiple pixels in first area 304,305,306
Average calculating operation is carried out, the first gradient average value of first area 304,305,306 can be respectively obtained.Wherein average calculating operation can be
General average value computing or the average value computing of addition weight.
In an embodiment, computing module 20 can first judge the ladder of multiple pixels in first area 304,305,306 respectively
Whether angle value is greater than or equal to one the 3rd critical value, comes the first of computing first area 304,305,306 further according to judging result
Gradient average value.If so, average calculating operation is then carried out to the Grad of the pixel more than or equal to the 3rd critical value with obtain this
The first gradient average value in one region 304,305,306.And the Grad less than the pixel of the 3rd critical value does not include computing then.
For example, if the Grad of all pixels is greater than or equal to the 3rd critical value in first area 304 and 305, in computing
During the first gradient average value of the first area 304 and 305, the Grad of all pixels in region is subjected to average calculating operation, and
The Grad of partial pixel is less than the 3rd critical value in first area 306, then in computing, 306 first gradient of first area is put down
During average, only with the Grad for the pixel for being greater than or equal to the 3rd critical value in first area 306.
Step S233：Average calculating operation is carried out to such first gradient average value to obtain the first average value.
Finally, the first gradient average value of first area 304,305,306 is done into average calculating operation by computing module 20, with
To the first average value.But it is noted that the mode for calculating the first average value is not limited thereto.For example, computing module
20 also can first judge whether the first gradient average value of first area 304,305,306 is greater than or equal to one second critical value, then
First average value is calculated according to judging result.If so, then to the first gradient average value more than or equal to the second critical value into
Row average calculating operation is to obtain the first average value.And the first gradient average value less than the second critical value does not include calculating then.Citing
For, if the first gradient average value of first area 304 and 305 is greater than or equal to the second critical value, and first area 306
First gradient average value is less than the second critical value, then when calculating the first average value only with the of first area 304 and 305
One gradient average value.
According to one embodiment of the invention, computing module 20 can also judge first area 304,305,306 and first respectively
One distance of one reference point of image 300, the wherein reference point can be the first image 300 central point or focusing position or
It is any point selected according to user in the first image 300, respectively according to the distance to the first of first area 304,305,306 the ladder
Degree average value carries out a weighted mean operation to obtain the first average value.For example, if first area 304,305,306 and
The central point of one image 300, or with the one of the focusing position of the first image 300 distance be respectively 25,50 and 100 pixels, its
Ratio is 1:2:4, then when calculating the first average value, the first gradient average value of first area 304,305,306 is also with 1:2:4
Ratio substitute into calculate the first average value.
Then step S24 is carried out：Computing is carried out to the first image according to parameter group, to produce the second image.
As shown in Figure 3 C, computing then carries out the first image 300 with one first parameter by computing module 20, and produces one
Second image 310.
In an embodiment, which can be inputted by user, or come from a parameter group.It is specific and
Speech, parameter group can be built into electronic device.Wherein, parameter group can one include the first parameter and at least one second parameter
Parameter sets, or an equation.
Then step S25 is carried out：The second area of the second image is set according to first area, and calculates the of second area
Two average values.
As shown in Figure 3 C, after obtaining the second image 310, then by computing module 20 according to first area 304,305,306
Position and size where in the first image 300 set the second area 311,312,313 of the second image 310, and calculate the
Second average value in two regions 311,312,313.As shown in Figure 2 C, step S25 is identical with step S23, can equally be subdivided into step
Rapid S251, step S252 and step S253, after first carrying out grayscale conversion to second area 311,312,313, to second area
311st, 312,313 execution gradient calculations then again equal multiple second gradients with obtaining corresponding multiple second gradient average values
Average carry out average calculating operation to obtain the second average value, in another embodiment the second average value also can according to second area 311,
312nd, 313 it is weighted average calculating operation with a distance of a reference point of the second image 310 and tries to achieve, wherein the reference point can be
The central point or focusing position of second image 310.For example, if second area 311,312,313 and the second image 310
Central point, or with the one of the focusing position of the second image 310 distance be respectively 25,50 and 100 pixels, its ratio be 1:2:4,
Then when calculating the second average value, the second gradient average value of second area 311,312,313 is also with 1:2:4 ratio substitutes into meter
Calculate the second average value.
Then step S26 is carried out：Judge whether the difference of the first average value and the second average value faces more than or equal to first
Dividing value.
Computing module 20 is obtaining the first average value and the second average value and then the first average value of computing and second average
Difference between value, and determine whether the difference is greater than or equal to one first critical value.If the difference is greater than or equal to
First critical value, then it represents that the first parameter used in step S24 is suitable, then performs step S27；If the difference
Less than first critical value, then repeat step S24 to step S26, makees the first image 300 according to the second parameter in parameter group
Computing, to produce another second image, is then set the second area of the second image by computing module 20 according to first area, and
Second average value of computing second area, then judge whether the difference of the first average value and the second average value is greater than or equal to first
Critical value.Wherein, it is necessary to explanation, the second parameter can be inputted by user, or from the parameter group but non-limiting according to this
The sequencing selection of parameter group, or party's formula.In an embodiment, make if computing module 20 does not obtain yet after computing for several times
The difference is more than the second image of first critical value, then so that the second image of the difference closest to first critical value substitutes
First image.
In another embodiment, it is somebody's turn to do if the difference between 20 the first average value of computing of computing module and the second average value is less than
First critical value, and the difference that second average value subtracts obtained by first average value is positive number, then substituting the second image becomes
First image, and the substitution of the second average value become the first average value, and further, repeat step S24 to step S26, foundation should
First parameter makees computing to the first image, to produce another second image, is then set by computing module 20 according to first area
The second area of second image, the second average value of union second area, then judge the first average value and the second average value
Whether difference is greater than or equal to the first critical value.
Finally carry out step S27：First image is substituted with the second image.Also, further is stored by storage module 10
Two images 310.
It must be noted that image treatment method of the invention is not limited with above-mentioned step order, as long as can reach
Into the purpose of the present invention, above-mentioned step order can be also changed.
Furthermore image treatment method of the invention can also be realized with program, and can in be stored in electronic device.
In an embodiment, when electronic device loading procedure, and after program is activated, electronic device receives the first shadow
Picture, an at least first area is set on the first image, and calculates the first average value of first area, and according to the first parameter to the
One image carries out computing, to produce the second image.Further, the second area of the second image is set according to first area, and
Calculate the second average value of second area.In addition, the difference between the first average value and the second average value is calculated, with according to difference
Decide whether to substitute the first image with the second image.
In addition, the image treatment method of the present invention can also be realized with program, and build in a storage matchmaker that can be read
In vivo.
In an embodiment, when the store media that can be read is installed in electronic device, by electronic device loading procedure, and
After program is activated, electronic device receives the first image, an at least first area is set on the first image, and calculate the firstth area
First average value in domain, and computing is carried out to the first image according to the first parameter, to produce the second image.Further, foundation
First area sets the second area of the second image, and calculates the second average value of second area.In addition, calculate the first average value
With the difference between the second average value, decide whether to substitute the first image with the second image with foundation difference.
In short, the image treatment method of the present invention can be realized with program form, and by this program storage in hard disk, soft
In the store medias such as disk, CD-ROM, and such store media can be read in electronic device.
Certainly, the present invention can also have other various embodiments, ripe in the case of without departing substantially from spirit of the invention and its essence
Various corresponding changes and deformation, but these corresponding changes and deformation can be made according to the present invention by knowing those skilled in the art
The protection domain of the claims in the present invention should all be belonged to.
Claims (17)
1. a kind of image treatment method, it is characterised in that include：
Receive one first image；
In setting an at least first area on first image, and the first area includes an at least lines；
Calculate one first average value of the first area；
Computing is carried out to first image with one first parameter, to produce one second image；
A second area of second image is set according to the first area, and calculates one second average value of the second area；
Calculate a difference of first average value and second average value；And
Determine to substitute first image with second image according to the difference.
2. image treatment method as claimed in claim 1, it is characterised in that further include：
If the difference is less than one first critical value, computing is carried out to first image with one second parameter；And
If the difference is greater than or equal to first critical value, which is substituted with second image.
3. image treatment method as claimed in claim 1 or 2, it is characterised in that first image is distinguished with second image
With multiple first areas and multiple second areas, the step of calculating first average value and/or second average value, wraps
Contain：
Gradient calculation is performed to such first area or such second area respectively, with obtain multiple first gradient average values or
Multiple second gradient average values；And
Average calculating operation is carried out to such first gradient average value to obtain first average value, and/or such second gradient is put down
Average carries out average calculating operation to obtain second average value.
4. image treatment method as claimed in claim 3, it is characterised in that to such first gradient average value and/or such
The step of second gradient average value progress average calculating operation, further includes：
Judge whether each such first gradient average value and/or such second gradient average value face more than or equal to one second respectively
Dividing value；And
If so, then it is averaged to such first gradient average value more than or equal to second critical value and/or such second gradient
Value carries out average calculating operation.
5. image treatment method as claimed in claim 3, it is characterised in that multiple first areas and multiple second areas
There is the step of Grad of multiple pixels, the such first gradient average value of computing and/or such second gradient average value respectively
Further include：
Judge whether multiple pixel gradient values are greater than or equal to one the 3rd critical value respectively；And
If so, average calculating operation then is carried out to multiple pixel gradient values more than or equal to the 3rd critical value.
6. image treatment method as claimed in claim 1, it is characterised in that further include：
If the difference is less than one first critical value, and the difference is positive number, then by the second image substitute as first image into
Row computing.
7. image treatment method as claimed in claim 3, it is characterised in that to such first gradient average value and/or such
The step of second gradient average value progress average calculating operation, further includes：
The reference of each such first area and/or such second area and first image and/or second image is judged respectively
One distance of point；And
One is carried out to corresponding such first gradient average value and/or such second gradient average value according to the respectively distance respectively to add
Weight average computing.
8. image treatment method as claimed in claim 7, it is characterised in that the reference point be first image and/or this
A central point or a focusing position for two images.
9. the store media that a kind of electronic device can be read, it is characterised in that storage such as claim 1 to 8 any one of them
The program of image treatment method.
10. a kind of electronic device, it is characterised in that include：
One storage module, stores one first image；And
One computing module, the lines according to first image set a first area, and it is flat to calculate one first to the first area
After average, one second image is formed by one first parameter and first image, and to a second area meter of second image
One second average value is calculated, and judges to retain first image or is somebody's turn to do according to a difference of first average value and second average value
Second image.
11. electronic device as claimed in claim 10, it is characterised in that the computing module judges that the difference is faced less than one first
Dividing value, then carry out computing with one second parameter to first image；Or the computing module judges that the difference is greater than or equal to one the
One critical value, then make the storage module store second image.
12. the electronic device as described in claim 10 or 11, it is characterised in that first image has respectively with second image
There are multiple first areas and multiple second areas, which further includes performs a gradient to such first area respectively
Calculation, to obtain corresponding multiple first gradient average values, and performs such second area gradient calculation, to be corresponded to
Multiple second gradient average values；Average calculating operation is carried out to such first gradient average value more than or equal to one second critical value
To obtain first average value, and average calculating operation is carried out to such second gradient average value more than or equal to second critical value
To obtain second average value.
13. electronic device as claimed in claim 12, it is characterised in that multiple first areas and multiple second areas point
Not Ju You multiple pixels Grad, the computing module further include to it is multiple be greater than or equal to one the 3rd critical value pixel this
The Grad in one region carries out average calculating operation to obtain the first gradient average value, and is greater than or equal to one the 3rd to the plurality of
The Grad of the second area of critical value pixel carries out average calculating operation to obtain the second gradient average value.
14. electronic device as claimed in claim 10, it is characterised in that the computing module judges that the difference is faced less than one first
Dividing value, and the difference is positive number, then substitutes second image and carry out computing as first image.
15. electronic device as claimed in claim 12, it is characterised in that the computing module is further included respectively according to each such
One region and a distance of a reference point of first image, average calculating operation is weighted to such first gradient average value, with
Obtain first average value；And according to a distance of each such second area and a reference point of second image, to such the
Two gradient average values are weighted average calculating operation, to obtain second average value.
16. electronic device as claimed in claim 15, it is characterised in that the reference point be first image and/or this second
A central point or a focusing position for image.
17. electronic device as claimed in claim 10, it is characterised in that the first area or the second area are respectively with this
Centered on lines, prolong a first direction and extend one first distance, prolong a second direction and extend a second distance.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310534885.9A CN104601922B (en) | 2013-11-01 | 2013-11-01 | The store media that image treatment method, electronic device, electronic device can be read and the program applied to electronic device |
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|---|---|---|---|
| CN201310534885.9A CN104601922B (en) | 2013-11-01 | 2013-11-01 | The store media that image treatment method, electronic device, electronic device can be read and the program applied to electronic device |
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| CN104601922A CN104601922A (en) | 2015-05-06 |
| CN104601922B true CN104601922B (en) | 2018-04-17 |
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| CN1581211A (en) * | 2003-08-15 | 2005-02-16 | 虹光精密工业（苏州）有限公司 | Image correction method |
| CN1612028A (en) * | 2003-10-30 | 2005-05-04 | 光宝科技股份有限公司 | Image colour difference compensating method |
| CN101374191A (en) * | 2007-08-23 | 2009-02-25 | 三星电子株式会社 | Method and apparatus for correcting chromatic aberration of image |
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