CN103474049A - Image processing apparatus and image processing method - Google Patents
Image processing apparatus and image processing method Download PDFInfo
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- CN103474049A CN103474049A CN2012101885380A CN201210188538A CN103474049A CN 103474049 A CN103474049 A CN 103474049A CN 2012101885380 A CN2012101885380 A CN 2012101885380A CN 201210188538 A CN201210188538 A CN 201210188538A CN 103474049 A CN103474049 A CN 103474049A
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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 relevant to image processing technique, and especially to management/use the technology of the storer in image processing system relevant.
Background technology
In recent years, along with various electronic products are flourish, the multimedia systems such as family's theater are day by day universal.In most multimedia systems, most important hardware unit just belongs to display device.In order to meet the demand of beholder for image true to nature, one of development trend of display device is size and the resolution that continues improving picture.Generally speaking, the display device of large scale, high-res must possess higher arithmetic speed and memory span.
Fig. 1 (A) is a display device calcspar example.The function of scaler (scaler) 12 is for adjusting the size of input picture, the size/ratio of picture after convergent-divergent conformed to the specification of playing module 15, and impose the image processing programs such as brightness adjustment, contrast adjustment, sharpening to inputting picture.As shown in Fig. 1 (A), at first the input picture is stored in the first dynamic RAM 11.Scaler 12 is usually designed to classify as the image data of processed in units input picture.Therefore in scaler 12, a line buffer (line buffer) 12A is arranged, in order to the temporary column data from the first dynamic RAM 11 acquisitions.For example, if the resolution of input picture is 1920 row pixel * 1080 hurdle pixels, the width of line buffer 12A just must at least can hold the image data of 1920 pixels.
Scaler 12 produces after convergent-divergent after each row image data in picture one by one, the data of generation can be deposited in to the second dynamic RAM 13.Frame-rate conversion (frame rate conversion, FRC) module 14 can after convergent-divergent, picture and be deposited in complete generation after, picture after the second dynamic RAM 13 reads this convergent-divergent, and picture after convergent-divergent is provided to playing module 15.If the frequency of input picture is different from the display frequency of playing module 15, image or interpolation that frame-rate conversion module 14 can be responsible for Delete superfluous produce not enough image, and the frame frequency that makes finally to export to playing module 15 meets the setting of playing module 15.
Traditionally, if will input the picture resolution, by 1920 pixel * 1080 pixels, rise to 3840 pixel * 2160 pixels, the width of line buffer 12A must be extended for the image data that can hold 3840 pixels by the image data that can hold 1920 pixels accordingly.If the image processing routine package that scaler 12 is carried out is containing the neighborhood pixels of considering vertical direction, line buffer 12A just must keep in the image data of several row pixels simultaneously, for example, when the 3rd row pixel in Fig. 1 (B) is processed, keep in the image data (the 1st, 2,4,5 column datas wherein are auxiliary use) of the 1st row the ~ the 5 row pixel in line buffer 12A simultaneously.Can find out thus, as long as the resolution of input picture is enhanced, the capacity absolute value of line buffer 12A just can significantly rise.
Summary of the invention
For reducing the hardware cost of impact damper, the present invention proposes a kind of image processor and image treatment method.Process to reach the target of dwindling impact damper according to image processor of the present invention and image treatment method by raw video being divided into to the sub-image that width is less.In the situation that the reduction buffer capacity does not need additionally to improve running/arithmetic speed according to image processor of the present invention and image treatment method and still can maintain equal image quality.
A specific embodiment according to the present invention is a kind of image processor, wherein comprises first memory, second memory, impact damper, acquisition module and processing module.First memory has the raw video of the first width in order to storage.Impact damper has the second width that is less than the first width.The sub-image of acquisition module in first memory acquisition raw video, and this sub-image that will capture deposits impact damper in.Processing module is carried out the image processing program for this sub-image be stored in impact damper, to produce sub-image after a processing, and deposits sub-image after this processing in second memory.
Another specific embodiment according to the present invention is an image treatment method.At first the method is carried out one and is deposited step in, and a raw video that will have one first width deposits a first memory in.Subsequently, the method is carried out an acquisition step, and this first memory captures the sub-image in this raw video certainly, and deposits this sub-image in an impact damper.This impact damper has one second width that is less than this first width, and the width of this sub-image is less than or equal to this second width.Then, the method is carried out a treatment step, for this sub-image be stored in this impact damper, carries out an image processing program, to produce sub-image after a processing.Then, the method is carried out a storing step, deposits sub-image after this processing in a second memory.
Can be graphic to further understanding by following detailed Description Of The Invention and institute about the advantages and spirit of the present invention.
The accompanying drawing explanation
Fig. 1 (A) is a traditional display device calcspar example; Fig. 1 (B) is for showing the schematic diagram of the pixel in image with list.
Fig. 2 is according to the image processor calcspar in one embodiment of the invention.
Fig. 3 (A) and Fig. 3 (B) are for being divided into image after raw video and processing according to the vertical centering control separated time example in two zones; Fig. 3 (C) has illustrated according to the multiple row original pixels and has produced the example that row are processed rear pixel.
Fig. 4 (A) and Fig. 4 (D) are in order to present the example that forms a sub-image with major part and boundary member; Fig. 4 (B) and Fig. 4 (C) are in order to present the corresponding relation of original pixels and the rear pixel of processing.
Fig. 5 is in order to illustrate the corresponding relation of pixel after original pixels, intermediate pixel and processing.
Fig. 6 and Fig. 7 are according to the image treatment method process flow diagram in embodiments of the invention.
The main element symbol description
100: display device
11: the first dynamic RAM
12: scaler
12A: line buffer
13: the second dynamic RAM
14: the frame-rate conversion module
15: playing module
200: image processor
21: first memory
22: acquisition module
23: impact damper
24: processing module
25: second memory
L1 ~ L2160, R1 ~ R2160: sub-image
L1 ' ~ L2160 ', R1 ' ~ R2160 ': sub-image after processing
P1 ~ P3840: original pixels
P4 ', P1920 ': pixel after processing
P1918 " ~ P1922 ": intermediate result
S61 ~ S64, S71 ~ S77: process step
Embodiment
Be the image processor 200 shown in Fig. 2 according to one embodiment of the invention, wherein comprise first memory 21, acquisition module 22, impact damper 23, processing module 24 and second memory 25.In practical application, image processor 200 can be incorporated in various image processing systems or image playback equipment, also can independently exist.On practice, first memory 21 and second memory 25 can be the zones of different of same storer, also can be present in separately in two different storeies.Below explanation will mainly be take image processor 200 per seconds to receive 30 situations that are of a size of the raw video of 3840 row pixel * 2160 hurdle pixels be example, but not as limit.
At first the raw video that image processor 200 receives is stored in first memory 21; First memory 21 at least can hold the image data of 3840 pixel * 2160 pixels, the namely image data of individual raw video.Be different from prior art, acquisition module 22 not take row (that is 3840 pixel * 1 pixels) as unit from first memory 21 pick-up image data.In this embodiment, as shown in Fig. 3 (A), according to the vertical centering control separated time, raw video is virtually divided into left field L and right side area R, and therefore each row pixel is divided into two halves (for example the left side of each self-contained 1920 pixels partly is listed as L1 and the right side partly is listed as R1).At first acquisition module 22 can capture the data that are arranged in left field L, then acquisition is positioned at the data of right side area R.For example, the order of acquisition module 22 acquisition datas can be: L1, L2, L3 ..., L2160, R1, R2, R3 ..., R2160, its unit acquisition amount is 1920 pixel * 1 pixels, altogether captures 4320 times.
In this embodiment, processing module 24 can be processed rear sub-image by each according to the order of script acquisition module 22 acquisition datas and deposit second memory 25 in, for example L1 ', L2 ', L3 ' ..., L2160 ', R1 ', R2 ', R3 ' ..., R2160 ', these are processed after sub-image as Fig. 3 (B) be combined into image after a complete processing in the second memory that is shown in 25.The capacity of second memory 25 is relevant to the size of processing rear image, namely at least can hold the image data that individual processes rear image.
By above explanation, can be found out, the sub-image width that acquisition module 22 in this embodiment deposits impact damper 23 at every turn is 1920 pixels, as long as therefore to hold 1920 pixels just enough for the width of impact damper 23, but not the single-row image width (3840 pixel) of raw video.Easy speech, the width of impact damper 23 can be less than the width of raw video.On practice, processing module 24 can be designed to every handling procedure completed corresponding to half raw video in 1/60 second, identical when making the unit interval data processing amount of processing module 24 and processing one whole raw video in every 1/30 second.Compared to prior art, although impact damper 23 capacity reduce by half, the running speed of each circuit blocks does not need additionally to rise to twice, and image quality can not be subject to negative effect.
Should be noted that, acquisition module 22 is not limited with above-mentioned example from sub-image size and/or the acquisition order of first memory 21 acquisitions at every turn.For example, a raw video can be virtually divided into more multizone according to perpendicular line or horizontal line, and the size in each zone needn't equate.Perhaps, acquisition module 22 can first capture the data that are arranged in right side area R, then acquisition is positioned at the data of left field L.Or, but the below of acquisition module 22 self imagings starts acquisition data: L2160, L2159, L2158 ...In above-mentioned example, until, after being positioned at the sub-image of left field and all capturing, acquisition module 22 just starts the sub-image that acquisition is positioned at right side area.On practice, the acquisition of acquisition module 22 order also can be: L1, R1, L2, R2, L3, R3 ..., L2160, R2160.In addition, the height of the sub-image of acquisition module 22 acquisitions is not limited with 1 pixel.As long as the width of the sub-image of acquisition module 22 each acquisitions is less than the width of raw video, just can reach the effect of reduction impact damper 23 width.
The content of the sub-image that on the other hand, acquisition module 22 captures is not limited with single-row original pixels.For example, processing module 24 can be designed to produce the R row according to P row original pixels simultaneously and process rear pixel, and P and R are respectively a positive integer, and R is less than or equal to P.Fig. 3 (C) has illustrated a kind of example that produces the rear pixel of a row processing according to three row original pixels.In this example, wish produce to process after during the 6th row pixel L6 ' of left side of image, the five ~ seven row pixel (L5 ~ L7) of the left side of acquisition module 22 acquisition raw videos to impact damper 23 for processing module 24; Wish produce to process after during the 7th row pixel L7 ' of left side of image, the six ~ eight row pixel (L6 ~ L8) of left side that 22 of acquisition modules need the acquisition raw video to impact damper 23 for processing module 24.Easy speech, except with process after sub-image L6 ' on provider location directly corresponding L6, processing module 24, also can be with reference to the front and back adjacent columns image data of L6 when producing the rear sub-image L6 ' of processing.On practice, wish produces while processing rear sub-image L7 ', and acquisition module 22 can capture L6 ~ L8 as original sub-image from first memory 21 again.Perhaps, acquisition module 22 also can retain a left side and partly be listed as L6, L7 and continue to use in impact damper 23, only from first memory 21 acquisition left sides, partly is listed as L8, makes a left side partly be listed as L6 ~ L8 and forms the original sub-image for generation L7 ' in impact damper 23.This way in back has the benefit that can save data traffic.
According to another embodiment of the present invention, each self-contained major part of sub-image and a border part of acquisition module 22 each acquisitions.Take and aforementionedly partly be listed as L1 according to a left side produce to process the situation that rear left partly is listed as L1 ' be example, the image data of impact damper 23 that acquisition module 22 captures and is stored to can be as shown in Fig. 4 (A), comprise the major part formed by pixel P1 ~ P1920, and the boundary member formed by pixel P1921 ~ P1923 (this pixel quantity is only example).In fact, this major part namely partly is listed as L1 in the middle left side indicated of script Fig. 3 (A), and this boundary member is to be positioned at right three pixels that partly are listed as the R1 high order end.
The benefit of extra acquisition boundary member is to avoid not issuable image uncontinuity when classifying the acquisition unit as of acquisition module 22, when especially in processing module 24, performed image processing program relates to being close to pixels across as reference data.For example, suppose that the performed image processing program of processing module 24 can consider each three pixels of left and right of certain object pixel, for example, as shown in Fig. 4 (B), after producing corresponding to the processing of pixel P4 during pixel P4 ', except pixel P4 itself, also need pixel P1 ~ P3 and pixel P5 ~ P7 as reference data.In theory, as shown in Fig. 4 (C), after producing corresponding to the processing of pixel P1920, during pixel P1920 ', except pixel P1920, also need pixel P1917 ~ pixel P1919 and pixel P1921 ~ P1923 as reference data.Therefore, acquisition module 22 is also kept in pixel P1921 ~ P1923 to impact damper 23 for processing module 24 references.In like manner, to produce when processing rear right and partly being listed as R1 ', the image data of impact damper 23 that acquisition module 22 captures and is stored to can comprise the major part be comprised of pixel P1921 ~ P3840 as shown in Fig. 4 (D), and the boundary member be comprised of pixel P1918 ~ P1920.
By above example, can be found out, the boundary member of a certain sub-image is the main part that is different from another sub-image of this sub-image simultaneously.In the situation that each sub-image includes boundary member, the capacity of impact damper 23 can be extended for major part and the boundary member that is enough to simultaneously hold sub-image accordingly.With regard to above-mentioned example, raw video comprises 3840 hurdle original pixels, and the major part of each sub-image comprises 1920 hurdle original pixels, and its boundary member comprises 3 hurdle original pixels, and therefore impact damper 23 can be designed to hold the image data of 1923 pixels.Will be understood that, by for each sub-image, additionally capturing boundary member, after the processing that processing module 24 produces, image can be identical when adopting the impact damper that can hold 3840 pixels, the discontinuous situation of unlikely generation border image.
In practical application, selected performed to the processing module 24 image processing program of these boundary members is relevant and can learn in advance.The different needed boundary sizes of image processing algorithm are not quite similar, and acquisition module 22 can preset the rule from first memory 21 pick-up image data accordingly.The width of boundary member is usually not too large, even therefore the capacity of impact damper 23 must slightly increase, compared to prior art, according to image processor 200 of the present invention, still possesses equally the advantage that impact damper 23 is less.Should be noted that, the concept that makes each sub-image comprise major part and boundary member is not limited to the above-mentioned situation in two zones, left and right that raw video is divided into according to the vertical centering control separated time.
In addition, due to the Main Function of boundary member be auxiliary produce process after sub-image, processing module 24 need to not carried out the image processing program for the pixel in boundary member.The situation that the Fig. 4 (C) of take is illustrated is example, and after producing processing, afterwards, processing module 24 does not need to continue pixel P1921 ~ P1923 is imposed to the image processing program pixel P1920 ', subsequently also needn't be by pixel P1921 ~ P1923 unloading to second memory 25.The scope of boundary member be also processing module 24 in advance known to.Processing module 24 sub-image after each is processed, can be deleted boundary member during to second memory 25 from impact damper 23 unloadings, for example only retains, corresponding to pixel after the processing of major part (P1 ' ~ P1920 ').
In according in one embodiment of the invention, the performed image processing routine package of processing module 24 is containing a plurality of subroutines of sequentially implementing.For example, processing module 24 may first impose the first subroutine and produce an intermediate result a certain sub-image, then this intermediate result is carried out to the second subroutine, to produce corresponding to sub-image after the processing of this sub-image.Suppose that this first subroutine can consider each three pixels of left and right of certain object pixel, and this second subroutine can be considered each two pixels of left and right of certain object pixel.As shown in Figure 5, wish produce to process after pixel P1920 ' in sub-image, must be with reference to the pixel P1918 in intermediate result " ~ P1922 "; Wish produces the pixel P1922 in intermediate result ", must be with reference to the pixel P1919 in original sub-image ~ P1925.Can find out thus, if pixel P1920 ' is this pixel of processing rear sub-image low order end, acquisition module 22 at least must capture pixel P1921 ~ P1925 as boundary member.By that analogy, the total number of pixels that boundary member comprises (or claiming total field quantity) can equal the summation (in above example be three add two equal five) of the border demand parameter of each subroutine of sequentially carrying out.
In actual applications, image processor 200 can further comprise a frame-rate conversion module (not illustrating), in order in processing module 24 by after the complete generation of picture after a processing depositing second memory 25 in, read and process rear picture from second memory 25, the frame rate that rear picture is provided to the follow-up play module is processed in the selectivity adjustment.
On the other hand, also can be extended the raw video that is designed to receive and to process multiple different size according to image processor of the present invention, such as but not limited to following two kinds of picture specifications: the raw video of 30 3840 pixel * 2160 pixels of per second, and the raw video of 60 1920 pixel * 1080 pixels of per second.In this application, can select according to less image size the width of impact damper, and, when processing the raw video of large-size, according to the width of impact damper, successively capture the different piece of raw video as sub-image.
Be an image treatment method according to another embodiment of the present invention, its process flow diagram as shown in Figure 6.At first the method performs step S61, and a raw video that will have one first width deposits a first memory in.Subsequently, the method execution step S62, this first memory captures the sub-image in this raw video certainly, and deposits this sub-image in an impact damper.This impact damper has one second width that is less than this first width, and the width of this sub-image is less than or equal to this second width.Then, the method execution step S63, carry out an image processing program for this sub-image be stored in this impact damper, to produce sub-image after a processing.Then, the method execution step S64, deposit sub-image after this processing in a second memory.
In practical application, if comprising width, this raw video is less than or equal to separately N sub-image of this second width claim (N is greater than 1 integer), the flow process of Fig. 6 can further be revised as shown in Figure 7.At first, step S71 deposits a first memory in for a raw video that will have one first width.Step S72 equals 1 for setting integer index i.Step S73 captures the i sub-image in this raw video from this first memory, and deposits this i sub-image in an impact damper.This impact damper has one second width that is less than this first width, and the width of this i sub-image is less than or equal to this second width.Step S74, for for this i sub-image be stored in this impact damper, to carry out an image processing program, processes rear sub-image to produce an i.Step S75 deposits a second memory in for sub-image after this i is processed.Subsequently, step S76 is for to judge whether current integer index i still is less than N.If judgment result is that of step S76 is that step S77 will be performed, and set i=i+1.After step S77, step S73 ~ step S76 can be repeated to carry out, until step S76 the determination result is NO.
On practice, the scope of this integer index not necessarily will be set between 1 to N, as long as a plurality of sub-images in raw video can sequentially be finished dealing with.In addition, after step S75 can be designed to make this N processing, sub-image is combined into corresponding to image after a processing of this raw video in this second memory.The previous various variations of describing when introducing image processor 200 (for example mode of virtual division raw video and acquisition border part), also can be applied in the image treatment method that Fig. 6 and Fig. 7 illustrate, and its details repeats no more.
As mentioned above, process to reach the target of dwindling impact damper according to image processor of the present invention and image treatment method by raw video being divided into to the sub-image that width is less.In the situation that the reduction buffer capacity does not need additionally to improve running/arithmetic speed according to image processor of the present invention and image treatment method and still can maintain equal image quality.
The above detailed description of preferred embodiments wishes more to know description feature of the present invention and spirit, and not with the above-mentioned preferred embodiment disclosed, category of the present invention is limited.On the contrary, its objective is that hope can contain in the category of the scope of the claims of being arranged in of various changes and tool equality institute of the present invention wish application.
Claims (18)
1. an image processor comprises:
One first memory, have a raw video of one first width in order to storage;
One second memory;
One impact damper, have one second width that is less than this first width;
One acquisition module, capture the sub-image in this raw video in order to this first memory certainly, and deposit this sub-image in this impact damper, and wherein the width of this sub-image is less than or equal to this second width; And
One processing module, carry out an image processing program in order to this sub-image for being stored in this impact damper, to produce sub-image after a processing, and deposits sub-image after this processing in this second memory.
2. image processor as claimed in claim 1, is characterized in that, in this sub-image comprise P row pixel, sub-image comprises R row pixel after this processing, P and R are respectively a positive integer, R is less than or equal to P.
3. image processor as claimed in claim 1, is characterized in that, this raw video comprises N the sub-image that width is less than or equal to this second width separately, and N is greater than 1 integer; This acquisition module sequentially from this first memory by this N sub-image capture to this impact damper, for this processing module, process.
4. image processor as claimed in claim 3, is characterized in that, after this processing module is designed to make this N to process, sub-image is combined into corresponding to one of this raw video and processes rear image in this second memory.
5. image processor as claimed in claim 3, it is characterized in that, this raw video is divided into one first territory, lateral areas and one second territory, lateral areas according to a vertical centering control separated time, at first this acquisition module captures at least one sub-image that is positioned at this territory, the first lateral areas, then acquisition is positioned at least one sub-image in this territory, the second lateral areas.
6. image processor as claimed in claim 5, is characterized in that, until, after being positioned at the sub-image in this territory, the first lateral areas and all capturing, this acquisition module just starts the sub-image that acquisition is positioned at this territory, the second lateral areas.
7. image processor as claimed in claim 3, it is characterized in that, each self-contained major part of each sub-image and a border part, this boundary member of one first sub-image is the mainly part of one second sub-image simultaneously, and selecting of these boundary members is relevant to this image processing program.
8. image processor as claimed in claim 7, it is characterized in that, this raw video comprises M hurdle original pixels, this major part of this first sub-image comprises (M/2) hurdle original pixels, this boundary member of this first sub-image comprises Q hurdle original pixels, M is an even number, and Q is relevant to this image processing program and is less than a positive integer of (M/2); This Q hurdle original pixels produces corresponding to pixel after at least one processing of this (M/2) hurdle original pixels in order to auxiliary.
9. image processor as claimed in claim 8, is characterized in that, this image processing routine package is containing a plurality of subroutines of sequentially implementing, and the plurality of subroutine has a border demand parameter separately; The summation that this positive integer Q is the plurality of border demand parameter.
10. an image treatment method comprises:
(a) raw video that will have one first width deposits a first memory in;
(b) this first memory captures the sub-image in this raw video certainly, and deposits this sub-image in an impact damper, and this impact damper has one second width that is less than this first width, and the width of this sub-image is less than or equal to this second width;
(c) carry out an image processing program for this sub-image be stored in this impact damper, to produce sub-image after a processing; And
(d) deposit sub-image after this processing in a second memory.
11. image treatment method as claimed in claim 10, is characterized in that, this sub-image comprises P row pixel, and after this processing, sub-image comprises R row pixel, and P and R are respectively a positive integer, and R is less than or equal to P.
12. image treatment method as claimed in claim 10, is characterized in that, this raw video comprises N the sub-image that width is less than or equal to this second width separately, and N is greater than 1 integer; Step (b) ~ step (d) is carried out repeatedly, until produce corresponding to sub-image after N processing of this N sub-image.
13. image treatment method as claimed in claim 12, is characterized in that, further comprises:
After this N is processed, sub-image is combined as corresponding to one of this raw video and processes rear image in this second memory.
14. image treatment method as claimed in claim 12, it is characterized in that, this raw video is divided into one first territory, lateral areas and one second territory, lateral areas according to a vertical centering control separated time, at first at least one sub-image that is positioned at this territory, the first lateral areas is captured, and at least one sub-image that is positioned at this territory, the second lateral areas is captured subsequently.
15. image treatment method as claimed in claim 14, is characterized in that, until, after being positioned at these sub-images in this territory, the first lateral areas and all capturing, these sub-images that are positioned at this territory, the second lateral areas just start to be captured.
16. image treatment method as claimed in claim 12, it is characterized in that, each self-contained major part of each sub-image and a border part, this boundary member of one first sub-image is the mainly part of one second sub-image simultaneously, and selecting of these boundary members is relevant to this image processing program.
17. image treatment method as claimed in claim 16, it is characterized in that, this raw video comprises M hurdle original pixels, this major part of this first sub-image comprises (M/2) hurdle original pixels, this boundary member of this first sub-image comprises Q hurdle original pixels, M is an even number, and Q is relevant to this image processing program and is less than a positive integer of (P/2); This Q hurdle original pixels produces corresponding to pixel after at least one processing of this (M/2) hurdle original pixels in order to auxiliary.
18. image treatment method as claimed in claim 17, is characterized in that, this image processing routine package is containing a plurality of subroutines of sequentially implementing, and the plurality of subroutine has a border demand parameter separately; The summation that this positive integer Q is the plurality of border demand parameter.
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| CN106303383A (en) * | 2015-05-25 | 2017-01-04 | 华硕电脑股份有限公司 | Image playing system and signal of video signal acquisition device |
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