CN101727655B - Image zooming method and device thereof - Google Patents
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- CN101727655B CN101727655B CN2008102012703A CN200810201270A CN101727655B CN 101727655 B CN101727655 B CN 101727655B CN 2008102012703 A CN2008102012703 A CN 2008102012703A CN 200810201270 A CN200810201270 A CN 200810201270A CN 101727655 B CN101727655 B CN 101727655B
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Abstract
The invention relates to an image processing technique, and discloses image zooming method and device thereof. In the invention, when the number of filter coefficients required by one point in the zoomed image is greater than N, if one row cache finishes the zooming computation on one point in the image and outputs the data of the zoomed point, the row cache empties the cached data, restarts the zooming processing on the next point to be zoomed in the image, and outputs the data after zooming, wherein N is the number of the row caches. The invention realizes the image zooming of the N*M order filter by circularly using the row caches, thereby ensuring the quality of the zoomed image.
Description
Technical field
The present invention relates to image processing techniques, particularly still image or video image zooming technology.
Background technology
The image zoom technology is one of common technique in the Flame Image Process, can utilize same source images to generate the target image of different resolution by the image zoom technology, thereby making a width of cloth picture image to present on the terminal device of different resolution, can be 6825857 United States Patent (USP) referring to the patent No. about the image zoom technology.
At present, image zoom is widely used in video or the still image processing, and using many convergent-divergent algorithms is level, and vertical direction adopts wave filter respectively, and this algorithm is along with the increase of scaling, and the length of wave filter (being exponent number) is often very big.Therefore, implementation complexity is also bigger, and the calculating of general convergent-divergent all can adopt hardware to realize.Such as, adopt finite strip (N bar) row cache (line-buffer) to realize that the convergent-divergent of N rank wave filter calculates, and realizes the convergent-divergent algorithm of 4 rank wave filters as 4 line-buffer commonly used.
Yet, the present inventor finds, owing to adopt the wave filter mode to realize image zoom, the length of its wave filter is unfixed, and along with scaling increases, filter length is very big, such as realizing 1/4 convergent-divergent, can reach 16 if realize the length of its wave filter of high quality image convergent-divergent, then need to use 16 line-buffer to realize that convergent-divergent calculates.If in order to reduce resource requirement, still use 4 line-buffer, can only realize that then the convergent-divergent of 4 rank wave filters calculates.
Because handling, the convergent-divergent of video or still image often is applied in the mobile device (as mobile phone etc.), and bottleneck often of the hardware resource in mobile device or mobile phone, sometimes in order to reduce resource requirement, can reduce the convergent-divergent algorithm complex to reach the purpose that reduces resource requirement, such as, use 16 rank wave filters when realizing the image zoom of certain mass at needs, still adopt 4 line-buffer to realize that the convergent-divergent of 4 rank wave filters calculates.Also can cause the reduction of picture quality thus, can produce some ill effects such as sawtooth for image boundary.
Summary of the invention
The object of the present invention is to provide a kind of image-scaling method and equipment thereof, under the Limited resources demand, guarantee the scaled images effect.
For solving the problems of the technologies described above, embodiments of the present invention provide a kind of image-scaling method, comprise following steps:
When the needed number of filter coefficients of point is greater than N in the zoomed image, if one row cache has been finished the convergent-divergent of a point in the described image has been calculated and exported data behind this convergent-divergent, then this row cache empties institute's data in buffer, restart point to next pending convergent-divergent processing in the described image, carry out the data after convergent-divergent calculates and export convergent-divergent, wherein, N is the bar number of row cache.
Embodiments of the present invention also provide a kind of image zoom equipment, comprising:
Whether judging unit is used for judging needed number of filter coefficients of point of zoomed image greater than N, and wherein, N is the bar number of row cache;
N bar row cache, every row cache are respectively applied for the data after convergent-divergent to a point in the described image calculates and export this convergent-divergent;
When described every row cache judges that at described judging unit the needed number of filter coefficients of point is greater than N in the zoomed image, in finishing to described image the convergent-divergent of a point calculate and export this convergent-divergent after data after, empty institute's data in buffer, restart point, carry out the data after convergent-divergent calculates and export convergent-divergent next pending convergent-divergent processing in the described image.
Embodiment of the present invention compared with prior art, the key distinction and effect thereof are:
The bar number of line buffer less than zoomed image in during the needed number of filter coefficients of point, can be by recycling the mode of each bar line buffer, realize the image zoom of N * M rank wave filter, wherein, N is the bar number of line buffer, M is I, the maximal value among the D, and the scaling of image is I/D.In the prior art, N bar line buffer can only realize the technical scheme of the image zoom of N rank wave filter relatively, and present embodiment has guaranteed the scaled images quality under the Limited resources demand.
Further, adjacent two line-buffer are respectively when carrying out convergent-divergent calculating, Xi in the formula differs N data respectively, fully effectively utilized the N bar line-buffer that possesses, reached a best balance at aspect the picture quality of convergent-divergent and the utilization ratio aspect of line-buffer.
Description of drawings
Fig. 1 is the synoptic diagram according to 4 line-buffer in the first embodiment of the invention;
Fig. 2 is the image-scaling method synoptic diagram according to first embodiment of the invention.
Embodiment
In the following description, in order to make the reader understand the application better many ins and outs have been proposed.But, persons of ordinary skill in the art may appreciate that even without these ins and outs with based on the many variations and the modification of following each embodiment, also can realize each claim of the application technical scheme required for protection.
For making the purpose, technical solutions and advantages of the present invention clearer, embodiments of the present invention are described in further detail below in conjunction with accompanying drawing.
First embodiment of the present invention relates to a kind of image-scaling method, and in the present embodiment, with the image zoom of N bar line-buffer realization N * M rank wave filter, wherein, the scaling of image is I/D, and M is the maximal value of I, D.
Specifically, suppose N=4, the exponent number of then realizing the wave filter of convergent-divergent is 4M.Because the number of filter coefficients L that point of average computation needs is N * M/I, i.e. L=4M/I.Therefore, if I 〉=D, show and realize that image amplifies that then L=4I/I=4 illustrates that 4 line-buffer just can satisfy scaling requirements, need not to recycle line-buffer; If I＜D shows and realizes that image dwindles, L=4D/I then, L〉4, the technology that employing is present be described, 4 line-buffer can't realize the image zoom of 4M rank wave filter.
Be 3/4 to be example with scaling below, 4 line-buffer of the employing in the present embodiment are realized that filter length is that the Zoom method of 4M is specifically described, wherein, each coefficient of wave filter can obtain by sampling function.
Article 4, the synoptic diagram of line-buffer as shown in Figure 1, article one line-buffer is I0, second line-buffer is I1, the 3rd line-buffer is I2, the 4th line-buffer is I3.By recycling 4 line-buffer, in original image, inserting synoptic diagram that the data after 0 calculate as shown in Figure 2, wherein, and symbol " X " expression True Data, data 0 are inserted in symbol " O " expression.
To carry out the step that convergent-divergent calculates as follows to inserting data after 0:
(1) when first data are come, the coefficient f0 of wave filter multiply by X00, X01 ... ..., and deposit line buffer I0 in.
(2) when second data come, the coefficient f1 of wave filter multiply by X10, X11 ... ..., and with line buffer I0 in the last respective value that obtains mutually adduction deposit corresponding position in.
(3) when the 3rd data are come, repeating step 2.
(4) when the 4th data are come, repeating step 2.
(5) when the 5th data were come, the coefficient f4 of wave filter multiply by X40, X41 ... ..., and with line buffer I0 in the last respective value that obtains mutually adduction deposit corresponding position in.The coefficient f0 of wave filter multiply by X40, X41 ... ..., and deposit line buffer I1 in.
(6) when the 6th data were come, the coefficient f5 of wave filter multiply by X50, X51 ... ..., and with line buffer I0 in the last respective value that obtains mutually adduction deposit corresponding position in.The coefficient f1 of wave filter multiply by X50, X51 ... ..., and with line buffer I1 in the last respective value that obtains mutually adduction deposit corresponding position in.
(7) when the 7th data are come, repeating step 6.
(8) when the 8th data are come, repeating step 6.
(9) when the 9th data are come, for line buffer I0, line buffer I1, repeating step 6.For line buffer I2, the coefficient f0 of wave filter be multiply by X80, X81 ... ..., and deposit line buffer I2 in.
(10) when the tenth data are come, for line buffer I0, line buffer I1, repeating step 6.For line buffer I2, the coefficient f1 of wave filter be multiply by X90, X91 ... ..., and deposit line buffer I2 in respective value addition among the line buffer I2.
(11) when the 11 data are come, repeating step 10.
(12) when the 12 data are come, repeating step 10.
(13) when the 13 data are come, for line buffer I0, line buffer I1, line bufferI2, repeating step 10.For line buffer I3, the coefficient f0 of wave filter be multiply by X120, X121 ... ..., and deposit line buffer I3 in.
(14) when the 14 data are come, for line buffer I0, line buffer I1, linebuffer I2, repeating step 10.For line buffer I3, the coefficient f1 of wave filter be multiply by X130, X131 ... ..., and deposit line buffer I3 in respective value addition among the line buffer I3.
(15) when the 15 data are come, for line buffer I0, f14 multiply by X140, X141 ... ..., and with line buffer L0 in the respective value addition, this moment convergent-divergent finish, data are exported.Simultaneously line buffer I0 frees out, and treats that for next line scaled data is as the interim buffer memory in centre.
For line buffer I1, line buffer I2, line buffer I3, repeating step 14.
(16) for ensuing data, repeat above-mentioned steps, can realize dwindling calculating by recycling 4 line buffer.
This shows that 4 line buffer are actually by following formula, realize that the convergent-divergent of image calculates:
10：
11：
12：
13：
Because in the present embodiment, each bar line buffer finish that convergent-divergent calculates and with result of calculation output after, empty institute's data in buffer, the convergent-divergent that restarts next round calculates.That is to say, the bar number of linebuffer less than zoomed image in during the needed number of filter coefficients of point, can be by recycling the mode of each bar line buffer, realize the image zoom of N * M rank wave filter, wherein, N is the bar number of line buffer, and M is I, maximal value among the D, the scaling of image are I/D.In the prior art, N bar line buffer can only realize the technical scheme of the image zoom of N rank wave filter relatively, and present embodiment has guaranteed the scaled images quality under the Limited resources demand.
And in the present embodiment, adjacent two line-buffer are respectively when carrying out convergent-divergent calculating, Xi in the formula differs the individual data of 4 (being N) respectively, fully effectively utilized the N bar line-buffer that possesses, reached a best balance at aspect the picture quality of convergent-divergent and the utilization ratio aspect of line-buffer.
What deserves to be mentioned is that the image in the present embodiment can be RGB (RGB) format-pattern or YUV (brightness aberration) or YCbCr (brightness aberration) format-pattern.
Second embodiment of the present invention relates to a kind of image-scaling method, in the present embodiment, realizes the image zoom of N * M-K rank wave filter with N bar line-buffer, wherein, the scaling of image is I/D, and M is the maximal value of I, D, and K is the value between 0～M * N.
The method of the specific implementation of present embodiment and first embodiment are roughly the same, its difference is, in the first embodiment, filter coefficient f0 is effective value to f14, and in the present embodiment, K filter coefficient is filled to 0, such as, image zoom with 4 line-buffer realization 4 * M-1 rank wave filters then is filled to 0 with f0 to a filter coefficient among the f14 and carries out convergent-divergent calculating.Because in fact the coefficient of efficiency of wave filter has reduced one, so the scaled images quality can slightly be inferior to first embodiment, but with respect to the image zoom of realizing 4 rank wave filters with 4 line-buffer of the prior art, still has obvious improvement.
The 3rd embodiment of the present invention relates to a kind of image-scaling method, and the present embodiment and first embodiment are roughly the same, and its difference is, in the first embodiment, each coefficient of wave filter obtains by sampling function, and in the present embodiment, each coefficient of wave filter obtains by window function, wherein, window function comprises: sinusoidal windows, Cosine Window, Haimen window, Hanning window, Kai Saer-Bezier is derived window etc.
Method embodiment of the present invention can be realized in software, hardware, firmware or the like mode.No matter the present invention be with software, hardware, or the firmware mode realize, instruction code can be stored in the storer of computer-accessible of any kind (for example permanent or revisable, volatibility or non-volatile, solid-state or non-solid-state, medium fixing or that change or the like).Equally, storer can for example be programmable logic array (Programmable Array Logic, be called for short " PAL "), random access memory (Random Access Memory, be called for short " RAM "), programmable read only memory (Programmable Read Only Memory, be called for short " PROM "), ROM (read-only memory) (Read-Only Memory, be called for short " ROM "), Electrically Erasable Read Only Memory (Electrically Erasable Programmable ROM, be called for short " EEPROM "), disk, CD, digital versatile disc (Digital Versatile Disc is called for short " DVD ") or the like.
The 4th embodiment of the present invention relates to a kind of image zoom equipment, comprises: judging unit, whether be used for judging needed number of filter coefficients of point of zoomed image greater than N, and wherein, N is the bar number of row cache; N bar (as 4) row cache, every row cache are respectively applied for the data after convergent-divergent to a point in the image calculates and export this convergent-divergent.Every row cache is when judging unit judges that the needed number of filter coefficients of point is greater than N in the zoomed image, after the convergent-divergent of a point calculates and exports data behind this convergent-divergent in finishing image, empty institute's data in buffer, restart point, carry out the data after convergent-divergent calculates and export convergent-divergent next pending convergent-divergent processing in the image.
Wherein, the length of wave filter is N * M, and number of filter coefficients is L, L=N * M/I, and wherein, the scaling of image is I/D, M is I, the maximal value among the D.Can obtain each coefficient of wave filter by sampling function, perhaps, obtain each coefficient of wave filter by window function (as sinusoidal windows, Cosine Window, Haimen window, Hanning window etc.).
Row cache calculates according to the convergent-divergent of following formula to a point in the image:
, wherein, X
iBe data pairing data after inserting symbol O of a point in the original image, f
iBe the coefficient of wave filter, 0≤i≤L-1, i ' are the data of a point behind convergent-divergent.
Since the bar number of row cache line buffer less than zoomed image in during the needed number of filter coefficients of point, recycled each bar line buffer, therefore can realize the image zoom of N * M rank wave filter, relatively in the prior art, N bar line buffer can only realize the technical scheme of the image zoom of N rank wave filter, present embodiment has guaranteed the scaled images quality under the Limited resources demand.
What deserves to be mentioned is that adjacent two line-buffer are carrying out convergent-divergent when calculating, the X in the formula respectively
iDiffer N (N is the bar number of line buffer) data respectively, fully effectively utilized the N bar line-buffer that possesses, reached a best balance at aspect the picture quality of convergent-divergent and the utilization ratio aspect of line-buffer.
Need to prove, each unit of mentioning in the present embodiment all is a logical block, physically, a logical block can be a physical location, it also can be the part of a physical location, can also realize that the physics realization mode of these logical blocks itself is not most important with the combination of a plurality of physical locations, the combination of the function that these logical blocks realized is the key that just solves technical matters proposed by the invention.
In addition, for outstanding innovation part of the present invention, present embodiment will not introduced not too close unit with solving technical matters relation proposed by the invention, and this does not show that there is not other unit in the said equipment embodiment.In addition, the related equipment of present embodiment can be used for finishing the method flow that the said method embodiment is mentioned.Therefore all ins and outs of mentioning in the said method embodiment are still effective in the present embodiment, in order to reduce repetition, repeat no more here.
Though pass through with reference to some of the preferred embodiment of the invention, the present invention is illustrated and describes, but those of ordinary skill in the art should be understood that and can do various changes to it in the form and details, and without departing from the spirit and scope of the present invention.
Claims (16)
1. an image-scaling method is characterized in that, comprises following steps:
When the needed number of filter coefficients of point is greater than N in the zoomed image, if one row cache has been finished the convergent-divergent of a point in the image has been calculated and exported data behind this convergent-divergent, then this row cache empties institute's data in buffer, restart point to next pending convergent-divergent processing in the image, carry out the data after convergent-divergent calculates and export convergent-divergent, wherein, N is the bar number of row cache.
2. image-scaling method according to claim 1 is characterized in that, the length of described wave filter is N * M, and described number of filter coefficients is L, L=N * M/I, and wherein, the scaling of described image is I/D, M is I, the maximal value among the D.
3. image-scaling method according to claim 2 is characterized in that, calculates according to the convergent-divergent of following formula to a point in the described image:
Wherein, X
iBe data pairing data after inserting symbol 0 of a point in the original image, f
iBe the coefficient of wave filter, 0≤i≤L-1, i ' are the data of a point behind convergent-divergent.
4. image-scaling method according to claim 3 is characterized in that, two adjacent row caches are carrying out convergent-divergent when calculating, the X in the described formula respectively
iDiffer N data respectively.
5. according to each described image-scaling method in the claim 1 to 4, it is characterized in that, obtain each coefficient of described wave filter by sampling function.
6. according to each described image-scaling method in the claim 1 to 4, it is characterized in that, obtain each coefficient of described wave filter by window function.
7. image-scaling method according to claim 6 is characterized in that, described window function comprises: sinusoidal windows, and Cosine Window, Haimen window, Hanning window, Kai Saer-Bezier is derived window.
8. according to each described image-scaling method in the claim 1 to 4, it is characterized in that described N=4.
9. according to each described image-scaling method in the claim 1 to 4, it is characterized in that described image is RGB rgb format image or brightness aberration yuv format image or brightness aberration YCbCr format-pattern.
10. an image zoom equipment is characterized in that, comprising:
Whether judging unit is used for judging needed number of filter coefficients of point of zoomed image greater than N, and wherein, N is the bar number of row cache;
N bar row cache, every row cache are respectively applied for the data after convergent-divergent to a point in the described image calculates and export this convergent-divergent;
When described every row cache judges that at described judging unit the needed number of filter coefficients of point is greater than N in the zoomed image, in finishing to described image the convergent-divergent of a point calculate and export this convergent-divergent after data after, empty institute's data in buffer, restart point, carry out the data after convergent-divergent calculates and export convergent-divergent next pending convergent-divergent processing in the described image.
11. image zoom equipment according to claim 10 is characterized in that, the length of described wave filter is N * M, and described number of filter coefficients is L, L=N * M/I, and wherein, the scaling of described image is I/D, M is I, the maximal value among the D.
12. image zoom equipment according to claim 11 is characterized in that, described row cache calculates according to the convergent-divergent of following formula to a point in the described image:
Wherein, X
iBe data pairing data after inserting symbol 0 of a point in the original image, f
iBe the coefficient of wave filter, 0≤i≤L-1, i ' are the data of a point behind convergent-divergent.
13. image zoom equipment according to claim 12 is characterized in that, two adjacent row caches are carrying out convergent-divergent when calculating, the X in the described formula respectively
iDiffer N data respectively.
14., it is characterized in that according to each described image zoom equipment in the claim 10 to 13, obtain each coefficient of described wave filter by sampling function, perhaps, obtain each coefficient of described wave filter by window function.
15. image zoom equipment according to claim 14 is characterized in that,
Described window function comprises: sinusoidal windows, and Cosine Window, Haimen window, Hanning window, Kai Saer-Bezier is derived window.
16., it is characterized in that described N=4 according to each described image zoom equipment in the claim 10 to 13.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003036987A1 (en) * | 2001-10-26 | 2003-05-01 | Koninklijke Philips Electronics N.V. | Line-buffer reuse in vertical pixel-processing arrangement for video resizing |
| US6611260B1 (en) * | 1997-11-24 | 2003-08-26 | Pixelworks, Inc | Ultra-high bandwidth multi-port memory system for image scaling applications |
| US6801674B1 (en) * | 2001-08-30 | 2004-10-05 | Xilinx, Inc. | Real-time image resizing and rotation with line buffers |
| US6825857B2 (en) * | 2001-01-19 | 2004-11-30 | Clearspeed Technology Limited | Image scaling |
| CN101038666A (en) * | 2007-04-23 | 2007-09-19 | 北京中星微电子有限公司 | Device for zooming still image and method thereof |
| CN101183521A (en) * | 2007-11-16 | 2008-05-21 | 炬力集成电路设计有限公司 | Image scaling device, method and image display device |
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6611260B1 (en) * | 1997-11-24 | 2003-08-26 | Pixelworks, Inc | Ultra-high bandwidth multi-port memory system for image scaling applications |
| US6825857B2 (en) * | 2001-01-19 | 2004-11-30 | Clearspeed Technology Limited | Image scaling |
| US6801674B1 (en) * | 2001-08-30 | 2004-10-05 | Xilinx, Inc. | Real-time image resizing and rotation with line buffers |
| WO2003036987A1 (en) * | 2001-10-26 | 2003-05-01 | Koninklijke Philips Electronics N.V. | Line-buffer reuse in vertical pixel-processing arrangement for video resizing |
| CN101038666A (en) * | 2007-04-23 | 2007-09-19 | 北京中星微电子有限公司 | Device for zooming still image and method thereof |
| CN101183521A (en) * | 2007-11-16 | 2008-05-21 | 炬力集成电路设计有限公司 | Image scaling device, method and image display device |
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