CN103474049B - Image processing apparatus and image processing method - Google Patents
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Abstract
The invention provides an image processing apparatus. The image processing apparatus comprises a first memory, a second memory, a buffer, a capturing module and a processing module. The first memory is used to store an original image possessing a first width. The buffer possesses a second width which is less than the first width. The capturing module captures one sub-image in the original image from the first memory and stores the sub-image into the buffer. The processing module carries out an image processing program aiming at the sub-image stored in the buffer so as to generate a processed sub-image. The processed sub-image is stored into the second memory.
Description
Technical field
The present invention is related to image processing technique, and especially with manage/use the memory in image processing system
Technology is related.
Background technology
In recent years, as various electronic products flourish, the multimedia system such as family's theater becomes increasingly popular.It is many in majority
In media system, most important hardware unit just belongs to display device.In order to meet demand of the beholder for image true to nature,
One of development trend of display device is the size and resolution for persistently lifting picture.In general, large scale, high parsing
The display device of degree must possess higher arithmetic speed and memory span.
Fig. 1 (A) is a display device block diagram example.The function of scaler (scaler) 12 is adjustment input picture
Size, the size/ratio for making picture after scaling is consistent with the specification of playing module 15, and adjusts to being input into picture and imposing brightness
The image processing program such as whole, setting contrast, sharpening.As shown in Fig. 1 (A), input picture be stored in first the first dynamic with
In machine access memory 11.Scaler 12 is usually designed to arrange as processed in units the image data for being input into picture.Therefore contract
Put and have in device 12 line buffer (line buffer) 12A, be configured to temporarily store from the first dynamic random access memory 11 and capture
Column data.For example, if the resolution of input picture is the hurdle pixel of 1920 row pixel * 1080, the width of line buffer 12A
Just at least must can accommodate the image data of 1920 pixels.
Scaler 12 is produced one by one after each row image data after scaling in picture, the data of generation can be stored in into second and be moved
State random access memory 13.Frame-rate conversion (frame rate conversion, FRC) module 14 can picture after scaling
After completely being produced and being stored in, from the second dynamic random access memory 13 picture after the scaling, and picture after scaling are read
There is provided to playing module 15.If the frequency of input picture is different from the display frequency of playing module 15, frame rate conversion module 14
Can be responsible for deleting unnecessary image or interpolation produces not enough image, make finally to export to the frame frequency of playing module 15 and meet
The setting of playing module 15.
Traditionally, if input picture resolution is risen to into the pixel of 3840 pixel * 2160 by the pixel of 1920 pixel * 1080,
The width of line buffer 12A accordingly must be extended for that 3840 pixels can be accommodated by the image data that can accommodate 1920 pixels
Image data.If the image processing program bag that scaler 12 is carried out is containing the neighborhood pixels for considering vertical direction, line buffer
12A just must be while keep in the image data of several row pixels, such as the 3rd row pixel in for Fig. 1 (B) is processed
When, in the line buffer 12A simultaneously the ~ the 5 row pixel of temporary 1st row image data (the therein 1st, 2,4, supplemented by 5 column datas
Help and be used).It will thus be seen that the resolution for simply entering picture is enhanced, the absolute capacity values of line buffer 12A will be significantly
Rise.
The content of the invention
To reduce the hardware cost of buffer, the present invention proposes a kind of image processor and image treatment method.According to
The image processor and image treatment method of the present invention is divided into the less sub-image of width to process by by raw video
To reach the target for reducing buffer.In the case of reduction buffer capacity, image processor of the invention and shadow
As processing method need not additionally improve the image quality that running/arithmetic speed remains to maintain equal.
A specific embodiment of the invention is a kind of image processor, wherein depositing comprising first memory, second
Reservoir, buffer, acquisition module and processing module.First memory is to store the raw video with the first width.Buffering
Utensil has the second width less than the first width.Acquisition module captures the sub-image in raw video from first memory, and
The sub-image for capturing is stored in into buffer.Processing module carries out image processing journey for the sub-image being stored in buffer
Sequence, to produce a process after sub-image, and by this process after sub-image be stored in second memory.
Another specific embodiment of the invention is an image treatment method.The method is first carried out one and is stored in step,
A raw video with one first width is stored in into a first memory.Subsequently, the method performs one and captures step, from this
One memory captures the sub-image in the raw video, and the sub-image is stored in into a buffer.The buffer have be less than
One second width of first width, and the width of the sub-image is less than or equal to second width.Then, the method is performed at one
Reason step, for being stored in the buffer in the sub-image carry out an image processing program, to produce a process after sub-image.
Then, the method performs a storing step, and sub-image is stored in a second memory after this is processed.
Can be by following detailed description of the invention and institute's schema to further understanding with regard to the advantages and spirit of the present invention.
Description of the drawings
Fig. 1 (A) is a traditional display device block diagram example;Fig. 1 (B) is to arrange showing for the pixel represented in image
It is intended to.
Fig. 2 is the image processor block diagram in one embodiment of the invention.
Fig. 3 (A) and Fig. 3 (B) are the model that image after raw video and process is divided into two regions according to vertical middle separated time
Example;Fig. 3 (C) depicts the example that pixel after a column processing is produced according to multiple row original pixels.
Fig. 4 (A) and Fig. 4 (D) is to be presented the example for constituting a sub-image with major part and boundary member;Fig. 4 (B) and
Fig. 4 (C) to present original pixels and process after pixel corresponding relation.
Fig. 5 to illustrate original pixels, intermediate pixel and process after pixel corresponding relation.
Fig. 6 and Fig. 7 are the image treatment method flow chart in embodiments of the invention.
Main element symbol description
100:Display device
11:First dynamic random access memory
12:Scaler
12A:Line buffer
13:Second dynamic random access memory
14:Frame rate conversion module
15:Playing module
200:Image processor
21:First memory
22:Acquisition module
23:Buffer
24:Processing module
25:Second memory
L1~L2160、R1~R2160:Sub-image
L1’~L2160’、R1’~R2160’:Sub-image after process
P1~P3840:Original pixels
P4’、P1920’:Pixel after process
P1918”~P1922”:Intermediate result
S61~S64、S71~S77:Process step
Specific embodiment
An embodiment of the invention be Fig. 2 shown in image processor 200, wherein comprising first memory 21,
Acquisition module 22, buffer 23, processing module 24 and second memory 25.In practical application, image processor 200 can quilt
In being incorporated into various image processing systems or image playback equipment, also can be individually present.In practice, first memory 21 and second
Memory 25 can be the zones of different of same memory, in can each also being present in two different memories.Hereinafter illustrate
By mainly with the feelings for receiving the raw video that 30 sizes are the hurdle pixel of 3840 row pixel * 2160 per second of image processor 200
As a example by condition, but it is not limited.
The raw video that image processor 200 is received is stored in first in first memory 21;First memory
21 image datas that can at least accommodate the pixel of 3840 pixel * 2160, that is, the image data of individual raw video.Different from elder generation
Front technology, acquisition module 22 is not unit from the pick-up image number of first memory 21 to arrange (that is, the pixel of 3840 pixel * 1)
According to.In this embodiment, such as Fig. 3 (A) is shown, and according to vertical middle separated time, raw video is virtually divided into left field L with the right side
Therefore side region R, each row pixel is divided into two halves (such as a left side for each self-contained 1920 pixel half arranges L1 and right half row R1).
Acquisition module 22 can first capture the data in left field L, then capture the data positioned at right side area R.For example,
The order of the acquisition data of acquisition module 22 can be:L1, L2, L3 ..., L2160, R1, R2, R3 ..., R2160, its unit acquisition amount
For the pixel of 1920 pixel * 1, capture 4320 times altogether.
Acquisition module 22 can be considered to capture a sub-image in raw video every time, and the sub-image can be kept in
Buffer 23, uses for processing module 24.Processing module 24 is to the sub-image that is respectively directed to be stored at that time in buffer 23
Carry out image processing program, to produce a process after sub-image, for example produce according to being stored in a left side in buffer 23 half and arrange L1
One process rear left partly arranges L1 '.For example, the image processing program performed by processing module 24 can include scaled size, brightness
Adjustment, setting contrast, sharpening ... etc., but be not limited.Process rear left is produced in processing module 24 partly to arrange L1 ' and will locate
Reason rear left partly arranges L1 ' and is stored in after second memory 25, and acquisition module 22 may proceed to deposit the image data of left half row L2 from first
Reservoir 21 is captured to buffer 23, is processed for processing module 24, and the rest may be inferred, and until processing module 24 is produced the row of rear right half are processed
R2160 ' simultaneously will process rear right and partly arrange R2160 ' and be stored in second memory 25.
In this embodiment, after processing module 24 can be processed each according to the order of the acquisition data of script acquisition module 22
Sub-image is stored in second memory 25, such as L1 ', L2 ', L3 ' ..., L2160 ', R1 ', R2 ', R3 ' ..., R2160 ', make these
Sub-image is combined into image after a complete process as shown in Fig. 3 (B) in second memory 25 after process.Second memory
25 capacity is related to the size of image after process, that is, can at least accommodate the image data of image after individual process.
Can be seen that by described above, the acquisition module 22 in this embodiment is stored in every time the sub-image width of buffer 23 and is
1920 pixels, as long as therefore the width of buffer 23 can accommodate 1920 pixels just enough, rather than the single-row image width of raw video
Degree (3840 pixel).In other words, the width of buffer 23 is smaller than the width of raw video.In practice, processing module 24 can quilt
The processing routine completed corresponding to half raw video per 1/60 second is designed as, the unit interval data processing of processing module 24 is made
Amount is identical during one whole raw video of process with per 1/30 second.Compared to prior art, although the capacity of buffer 23 halves, but respectively
The running speed of individual circuit blocks need not additionally rise to twice, and image quality will not become negatively affected.
It should be noted that, sub-image size and/or acquisition order that acquisition module 22 is captured every time from first memory 21
It is not limited with above-mentioned example.For example, a raw video can be virtually divided into more multizone according to vertical line or horizontal line,
And the size in each region needn't be equal.Or, acquisition module 22 can first capture the data in right side area R, then capture position
In the data of left field L.Or, acquisition module 22 can the lower section of self imaging start acquisition data:L2160、L2159、
L2158….In the above-mentioned case, after the sub-image positioned at left field is all captured and finished, acquisition module 22 just starts to pick
Fetch bit is in the sub-image of right side area.In practice, the acquisition order of acquisition module 22 also can be:L1、R1、L2、R2、L3、
R3、…、L2160、R2160.Additionally, the height of the sub-image of the acquisition of acquisition module 22 is not limited with 1 pixel.As long as acquisition module
Width of the width of 22 sub-images for capturing every time less than raw video, it is possible to reach the effect of the reduction width of buffer 23.
On the other hand, the content of the sub-image that acquisition module 22 is captured is not limited with single-row original pixels.For example,
Processing module 24 is designed to produce pixel after R column processing according to P row original pixels simultaneously, and P and R is respectively a positive integer, R
Less than or equal to P.Fig. 3 (C) depicts a kind of example that pixel after a column processing is produced according to three row original pixels.In this example
In, it is intended to produce the 6th row pixel L6 of the left side of image after process ' when, acquisition module 22 captures the left side of raw video
5th ~ the 7th row pixel (L5 ~ L7) is used to buffer 23 for processing module 24;It is intended to produce the of the left side of image after processing
Seven row pixels L7 ' when, acquisition module 22 then needs the 6th ~ the 8th row pixel (L6 ~ L8) of the left side for capturing raw video extremely slow
Rush device 23 to use for processing module 24.In other words, except with sub-image L6 ' after process on provider location direct corresponding L6 it
Outward, processing module 24 can refer to the adjacent column image data in front and back of L6 in sub-image L6 ' after generation process, also.In practice, it is intended to
After generation process during sub-image L7 ', acquisition module 22 can capture L6 ~ L8 as original sub-image from first memory 21 again.
Or, acquisition module 22 also can retain left half row L6, L7 in buffer 23 and be continuing with, and only capture a left side from first memory 21
Half row L8, makes left half row L6 ~ L8 that the original sub-image for producing L7 ' is constituted in buffer 23.Below this way have can
Save the benefit of data traffic.
According to another embodiment of the present invention, each self-contained main portion of sub-image that acquisition module 22 is captured every time
Divide and a boundary member.Processed in case of rear left partly arranges L1 ' by aforementioned generation according to left half row L1, acquisition module 22 is picked
Take and store to buffer 23 image data can as shown in Fig. 4 (A), comprising the major part being made up of pixel P1 ~ P1920,
And the boundary member being made up of pixel P1921 ~ P1923 (this pixel quantity is only example).In fact, the major part is also
It is that the left side indicated in script Fig. 3 (A) partly arranges L1, the boundary member is then to be located at right half three pixels for arranging R1 high order ends.
Extra acquisition when boundary member is advantageous in that and is avoided that acquisition module 22 not to arrange to capture unit may produce
Raw image discontinuity, is especially related to neighbouring horizontal pixel as ginseng in the image processing program performed by processing module 24
When examining data.For example, it is assumed that the image processing program performed by processing module 24 can consider that the left and right of certain object pixel is each
Three pixels, for example, such as shown in Fig. 4 (B), in pixel P4 after producing the process corresponding to pixel P4 ' when, except pixel P4 sheet
Body, in addition it is also necessary to which pixel P1 ~ P3 and pixel P5 ~ P7 are as reference data.In theory, as shown in Fig. 4 (C), producing corresponding to picture
Pixel P1920 after the process of plain P1920 ' when, except pixel P1920, in addition it is also necessary to pixel P1917 ~ pixel P1919 and pixel
P1921 ~ P1923 is as reference data.Therefore, acquisition module 22 also keeps in pixel P1921 ~ P1923 to buffer 23 at
Reason module 24 is referred to.In the same manner, will produce and process rear right when partly arranging R1 ', acquisition module 22 will be captured and stored to buffer 23
Image data can as shown in Fig. 4 (D), comprising the major part being made up of pixel P1921 ~ P3840, and by pixel P1918 ~
The boundary member of P1920 compositions.
Can be seen that by example above, the boundary member of a certain sub-image is simultaneously another sub-image different from the sub-image
Major part.In the case where each sub-image includes boundary member, the capacity of buffer 23 can be accordingly extended for
Be enough to accommodate the major part and boundary member of sub-image simultaneously.For above-mentioned example, raw video is original comprising 3840 hurdles
Pixel, the major part of each sub-image includes 1920 hurdle original pixels, and its boundary member includes 3 hurdle original pixels, buffering
Therefore device 23 is designed to that the image data of 1923 pixels can be accommodated.It will be appreciated that by additionally picking for each sub-image
Take boundary member, it is identical when image can accommodate the buffer of 3840 pixels with employing after the process that processing module 24 is produced, no
Cause the discontinuous situation of border image.
In practical application, selecting for these boundary members is related simultaneously to the image processing program performed by processing module 24
And can learn in advance.Boundary sizes required for different image processing algorithms are not quite similar, and acquisition module 22 can evidence
This presets the rule from the pick-up image data of first memory 21.The width of boundary member is generally not too large, even if slow
Rushing the capacity of device 23 must therefore slightly increase, and compared to prior art, image processor of the invention 200 is still same
Possess the less advantage of buffer 23.It should be noted that, make concept of each sub-image comprising major part and boundary member not
It is limited to the above-mentioned situation that raw video is divided into two regions of left and right according to vertical middle separated time.
Further, since the Main Function of boundary member is sub-image after auxiliary generation process, processing module 24 need not
Image processing program is carried out for the pixel in boundary member.In case of Fig. 4 (C) is depicted, producing after image is processed
After plain P1920 ', processing module 24 needs not continue to impose image processing program to pixel P1921 ~ P1923, subsequently also needn't
Pixel P1921 ~ P1923 is transferred to into second memory 25.The scope of boundary member is also known in advance for processing module 24.Process
Module 24 can delete boundary member, only when sub-image after each is processed is transferred to second memory 25 from buffer 23
Retain corresponding to pixel after the process of major part (such as P1 ' ~ P1920 ').
In an embodiment of the invention, the image processing program bag performed by processing module 24 contains what is sequentially implemented
Multiple subprograms.For example, processing module 24 first may impose the first subprogram and produce knot in the middle of to a certain sub-image
Really, then to the intermediate result the second subprogram is performed, with sub-image after process of the generation corresponding to the sub-image.Assume this first
Subprogram can consider each three pixels in the left and right of certain object pixel, and second subprogram can consider that the left and right of certain object pixel is each
Two pixels.As shown in figure 5, being intended to produce pixel P1920 after process in sub-image ', it is necessary to reference to the pixel in intermediate result
P1918”~P1922”;Pixel P1922 in intermediate result to be produced ", it is necessary to reference to pixel P1919 in original sub-image ~
P1925.If it will thus be seen that pixel P1920 ' be sub-image low order end after the process pixel, acquisition module 22 at least must
Pixel P1921 ~ P1925 is captured as boundary member.Total number of pixels that by that analogy, boundary member is included (or claim total
Field quantity) (can Jia two for three in example above equal to the summation of the boundary requirements parameter of each subprogram for sequentially performing
Equal to five).
In actual applications, image processor 200 can further include a frame rate conversion module (not illustrating), to
After picture is completely produced and is stored in second memory 25 after processing module 24 is processed one, from the reading process of second memory 25
Picture afterwards, picture is provided to the frame rate of follow-up play module after selective adjustment is processed.
On the other hand, image processor of the invention can also be extended and be designed to receive and process various differences
The raw video of size, such as but not limited to following two picture specifications:The original shadow of 30 3840 pixels * 2160 pixel per second
Picture, and the raw video of 60 1920 pixels * 1080 pixel per second.In this applications, can be according to less image size
The width of buffer is selected, and when the raw video of large-size is processed, is gradually captured according to the width of buffer original
The different piece of image is as sub-image.
It is according to another embodiment of the present invention an image treatment method, its flow chart is as shown in Figure 6.The method is held first
Row step S61, by the raw video with one first width a first memory is stored in.Subsequently, the method execution step
S62, the sub-image in the raw video is captured from the first memory, and the sub-image is stored in into a buffer.The buffering
Utensil has one second width less than first width, and the width of the sub-image is less than or equal to second width.Then, the party
Method execution step S63, for being stored in the buffer in the sub-image carry out an image processing program, to produce a process after
Sub-image.Then, the method execution step S64, sub-image is stored in a second memory after this is processed.
In practical application, if the raw video is each less than or equal to the N number of son of the second width claim comprising width
Image (N is the integer more than 1), the flow process of Fig. 6 can be further modified as shown in Figure 7.First, step S71 is to have
One raw video of one first width is stored in a first memory.Step S72 is equal to 1 for setting integer index i.Step S73 is then
It is that one i-th sub-image in the raw video is captured from the first memory, and i-th sub-image is stored in into a buffer.Should
Buffer has one second width less than first width, and the width of i-th sub-image is less than or equal to second width.Step
Rapid S74 be for being stored in the buffer in i-th sub-image carry out an image processing program, to produce one i-th process after
Sub-image.Step S75 is that sub-image after i-th process is stored in into a second memory.Subsequently, step S76 is to judge current
Whether integer index i is still less than N.If the judged result of step S76 is yes, step S77 will be performed, and set i=i+1.In step
After S77, step S73 ~ step S76 can be repeatedly executed, until the judged result of step S76 is no.
In practice, the scope of the integer index is not necessarily intended to be set at 1 between N, as long as multiple in raw video
Sub-image can be completed by sequentially processing.Additionally, step S75 be designed to make after N number of process sub-image in this second
Image after the process corresponding to the raw video is combined in memory.Previously retouch when image processor 200 is introduced
The various change (such as mode of virtual grate raw video and acquisition border part) stated, can also apply to Fig. 6 and Fig. 7 and be painted
In the image treatment method for showing, its details is repeated no more.
As described above, image processor of the invention and image treatment method are divided into width by by raw video
Spend less sub-image to process to reach the target for reducing buffer.In the case of reduction buffer capacity, according to this
Bright image processor and image treatment method need not additionally improve the image product that running/arithmetic speed remains to maintain equal
Matter.
The above detailed description of preferred embodiments wishes to more to clearly describe the feature and spirit of the present invention, and not with
Above-mentioned disclosed preferred embodiment to scope of the invention being any limitation as.On the contrary, its objective is to wish to cover
Various changes and tool equality are arranged in the category of the scope of the claims to be applied of the invention.
Claims (15)
1. a kind of image processor, comprising:
One first memory, to store the raw video with one first width;
One second memory;
One buffer, with one second width less than first width;
One acquisition module, to capture the sub-image in the raw video from the first memory, and the sub-image is stored in
The width of the buffer, the wherein sub-image is less than or equal to second width;And
One processing module, carries out an image processing program, to produce one to the sub-image for being stored in the buffer
Sub-image after process, and by this process after sub-image be stored in the second memory;
Comprising width each less than or equal to N number of sub-image of second width, N is the integer more than 1 to the raw video, and this is picked
Delivery block sequentially captures N number of sub-image to the buffer from the first memory, processes for the processing module;
The each self-contained major part of each of which sub-image and a boundary member, boundary member of one first sub-image is same
The major part of the sub-images of Shi Weiyi second, these boundary members it is selected be in order to prevent the process after sub-image image
Discontinuously, wherein the boundary member of first sub-image is used to perform the image in the major part of first sub-image
Processing routine to produce a process after sub-image, and boundary member of first sub-image itself is not processed.
2. image processor as claimed in claim 1, it is characterised in that the sub-image includes P row pixels, son after the process
Image includes R row pixels, and P and R is respectively a positive integer, and R is less than or equal to P.
3. image processor as claimed in claim 1, it is characterised in that the processing module is designed to make N number of process
Afterwards sub-image is combined into image after the process corresponding to the raw video in the second memory.
4. image processor as claimed in claim 1, it is characterised in that the raw video according to one it is vertical in separated time drawn
It is divided into one first side region and one second side region, the acquisition module captures first at least one sub- shadow positioned at first side region
Picture, then capture at least sub-image positioned at second side region.
5. image processor as claimed in claim 4, it is characterised in that until the sub-image positioned at first side region all
After acquisition is finished, the acquisition module just starts to capture the sub-image positioned at second side region.
6. image processor as claimed in claim 1, it is characterised in that the raw video includes M hurdles original pixels, this
The major part of one sub-image includes M/2 hurdles original pixels, and the boundary member of first sub-image includes Q hurdles original image
Element, M is an even number, and Q is a positive integer related to the image processing program and less than M/2;The Q hurdles original pixels are to aid in
Produce pixel after at least one process corresponding to the M/2 hurdles original pixels.
7. image processor as claimed in claim 6, it is characterised in that the image processing program bag is more containing what is sequentially implemented
Individual subprogram, the plurality of subprogram each has a border demand parameter;Positive integer Q is the total of the plurality of boundary requirements parameter
With.
8. a kind of image treatment method, comprising:
A a raw video with one first width is stored in a first memory by ();
B () captures the sub-image in the raw video from the first memory, and the sub-image is stored in into a buffer, and this delays
The width that rushing utensil has one second width less than first width, the sub-image is less than or equal to second width;
C () carries out an image processing program for the sub-image that is stored in the buffer, to produce a process after sub-image;
And
(d) by this process after sub-image be stored in a second memory;
Comprising width each less than or equal to N number of sub-image of second width, N is the integer more than 1 to the raw video, and the step
Suddenly (b) sequentially captures N number of sub-image to the buffer from the first memory, processes for the image processing program;
The each self-contained major part of each of which sub-image and a boundary member, boundary member of one first sub-image is same
The major part of the sub-images of Shi Weiyi second, these boundary members it is selected be in order to prevent the process after sub-image image
Discontinuously, wherein the boundary member of first sub-image is used to perform the image in the major part of first sub-image
Processing routine to produce a process after sub-image, and boundary member of first sub-image itself is not processed.
9. image treatment method as claimed in claim 8, it is characterised in that the sub-image includes P row pixels, son after the process
Image includes R row pixels, and P and R is respectively a positive integer, and R is less than or equal to P.
10. image treatment method as claimed in claim 8, it is characterised in that step (b)~step (d) is repeatedly executed at predetermined intervals, directly
The sub-image to after the N number of process produced corresponding to N number of sub-image.
11. image treatment methods as claimed in claim 10, it is characterised in that further include:
Sub-image after N number of process is combined as into image after the process corresponding to the raw video in the second memory.
12. image treatment methods as claimed in claim 10, it is characterised in that the raw video is according to a vertical middle separated time quilt
One first side region and one second side region are divided into, at least sub-image positioned at first side region is subtracted first, position
Subsequently it is subtracted in an at least sub-image of second side region.
13. image treatment methods as claimed in claim 12, it is characterised in that until positioned at first side region this is a little
Image is all captured after finishing, and just starts to be subtracted positioned at these sub-images of second side region.
14. image treatment methods as claimed in claim 8, it is characterised in that the raw video includes M hurdles original pixels, should
The major part of first sub-image includes M/2 hurdles original pixels, and the boundary member of first sub-image includes Q hurdles original image
Element, M is an even number, and Q is a positive integer related to the image processing program and less than M/2;The Q hurdles original pixels are to aid in
Produce pixel after at least one process corresponding to the M/2 hurdles original pixels.
15. image treatment methods as claimed in claim 14, it is characterised in that the image processing program bag contains what is sequentially implemented
Multiple subprograms, the plurality of subprogram each has a border demand parameter;Positive integer Q is the plurality of boundary requirements parameter
Summation.
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CN1798236A (en) * | 2004-12-28 | 2006-07-05 | 富士通株式会社 | Apparatus and method for processing an image |
CN101299331A (en) * | 2007-04-30 | 2008-11-05 | 晨星半导体股份有限公司 | Display controller for displaying multiple windows and method for the same |
CN101616321A (en) * | 2008-06-26 | 2009-12-30 | 晨星软件研发(深圳)有限公司 | Image-processing circuit and method |
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CN1798236A (en) * | 2004-12-28 | 2006-07-05 | 富士通株式会社 | Apparatus and method for processing an image |
CN101299331A (en) * | 2007-04-30 | 2008-11-05 | 晨星半导体股份有限公司 | Display controller for displaying multiple windows and method for the same |
CN101616321A (en) * | 2008-06-26 | 2009-12-30 | 晨星软件研发(深圳)有限公司 | Image-processing circuit and method |
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