CN102469238A - Method and system for enhancing sharpness of image by using pixel region characteristics - Google Patents
Method and system for enhancing sharpness of image by using pixel region characteristics Download PDFInfo
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Abstract
The invention provides a method and a system for enhancing the sharpness of an image by using pixel region characteristics. The system comprises a minimum generation unit, a maximum generation unit, a subtraction unit, a local mean unit, a sharpness calculation unit and a sharpening processing unit, wherein the minimum generation unit receives pixels in a local region, and outputs a minimum pixel luminance value in the local region; the maximum generation unit receives the pixels in the local region, and outputs a maximum pixel luminance value in the local region; the subtraction unit subtracts the minimum pixel luminance value from the maximum pixel luminance value to further generate a difference; the local mean unit calculates a pixel luminance mean in the local region, and outputs a local mean; the sharpness calculation unit is used for calculating a sharpness factor of a pixel (i,j) according to the difference, the local mean and an adjustable coefficient; and the sharpening processing unit is used for sharpening the pixel (i,j) according to the sharpness factor.
Description
Technical field
The present invention relates to the technical field of image processing, refer to a kind of image sharpness intensifying method and system that uses the pixel region characteristic especially.
Background technology
Since the edge in the image and other GTG change place suddenly usually with image in radio-frequency component relevant; Therefore image sharpness is strengthened and is utilized high-pass filtering to reach usually, i.e. low-frequency component in this high-pass filtering decay pattern picture and can not interfere with the radio-frequency component in the image.
Yet only use the low-frequency component in the high-pass filtering meeting decay pattern picture separately, and then cause image fault.For solving the problem of using image fault that high-pass filtering causes; Prior art uses unsharp masking (unsharp masking) in order to strengthen the acutance of image earlier; Wherein, unsharp masking deducts the blurry versions of this image with an original image, and then obtains a sharpening image.Unsharp masking available series mathematical formulae is represented:
Wherein, f (x y) is an original image, or the image of handling without unsharp masking,
Be the blurry versions of this image, f
s(x is via the image after the unsharp masking processing y).
High enhancing filtering (high-boosting filtering) is the next-generation technology of unsharp masking.Wherein, the high filtering image (high-boosting filtering image) that strengthens is defined as:
Wherein, A is more than or equal to 1, f (x y) is an original image, or the image of handling without unsharp masking,
Be the blurry versions of this image, f
Hb(x y) is the high filtering image that strengthens.The high filtering image f that strengthens
Hb(x y) can be rewritten as:
By formula (1), formula (3) can be rewritten as:
f
hb(x，y)＝(A-1)×f(x，y)+f
s(x，y)。(4)
Wherein, high enhancing filtering can be achieved by the mask among Fig. 1.When A=1, the high similar Laplce's sharpening of filtering (Laplacian sharpening) that strengthens, when A greater than 1, and when increasing, the contribution degree of sharpening program is then fewer and feweri.When A was enough big, high enhancing filtering image can be considered original image and is multiplied by a constant.
No matter be Laplce's sharpening, unsharp masking or high enhancing filtering; When using the mask computing; Need to use 9 multipliers and 8 adders; Its hardware cost is high and do not meet actual needs, so conventional images acutance intensifying method and system still have many disappearances and necessity of improving is arranged.
Summary of the invention
Main purpose of the present invention provides a kind of image sharpness intensifying method and system that uses the pixel region characteristic, and it provides a straightforward procedure and a system that is different from existing use unsharp masking (unsharp masking) to strengthen image sharpness.And can produce the acutance factor of different sizes according to the difference of image-region property content, avoid producing excessively perhaps not enough acutance and strengthen.Also avoid simultaneously the existing shortcoming of using filter need use a large amount of hardware.
According to a characteristic of the present invention, the present invention proposes a kind of image sharpness intensifying method, the luminance signal of an image is carried out acutance strengthen computing; Wherein, This image is made up of with arranged a plurality of pixels, and the method comprising the steps of: A) to its local features of regional area acquisition, in order to look in this regional area a maximum pixel brightness value and a minimum pixel brightness value; And then calculate a difference and a zone leveling value, wherein this regional area comprises a pixel; B) according to this difference, to calculate this pixel (i, acutance factor j); C) according to this acutance factor, (i j) carries out sharpening and handles to this pixel; D) repeat abovementioned steps A) to C), all pixels are all carried out aforementioned sharpening processing in this image.
According to another characteristic of the present invention; The present invention proposes a kind of image sharpness consolidation system that uses the pixel region characteristic; Its luminance signal to an image is carried out acutance and is strengthened computing; This image is that a plurality of pixels are constituted with arranged, and this system comprises a buffer, a minimum value generation unit, a maximum generation unit, a subtrator, a zone leveling value cell, an acutance computing unit, reaches a sharpening processing unit.Pixel brightness value in one regional area of temporary this image of this buffer wherein has corresponding pixel in this regional area.This minimum value generation unit is connected to this buffer, in order to receiving corresponding this pixel in this regional area, and then exports pixel brightness value minimum in this regional area.This maximum generation unit is connected to this buffer, in order to receiving corresponding this pixel in this regional area, and then exports pixel brightness value maximum in this regional area.This subtrator is connected to this minimum value generator and this maximum generator, deducts this minimum pixel brightness value in order to pixel brightness value that should maximum, and then produces a difference.This regional area mean value unit is connected to this buffer, in order to calculating the average brightness of corresponding this pixel in this regional area, and then exports a zone leveling value.This acutance computing unit is connected to this subtrator and this regional area mean value unit, and it is according to this difference, this zone leveling value and an adjustable integral coefficient, in order to calculate this pixel (i, acutance factor j).This sharpening processing unit is connected to this buffer and this acutance computing unit, and according to this acutance factor, (i j) carries out sharpening and handles to this pixel.
Description of drawings
Fig. 1 is the existing high sketch map that strengthens the mask of filtering.
Fig. 2 is the calcspar that the present invention uses the image sharpness consolidation system of pixel region characteristic.
Fig. 3 is the sketch map of regional area of the present invention.
Fig. 4 is the sketch map of minimum value generation unit of the present invention.
Fig. 5 is the flow chart that the present invention uses the image sharpness intensifying method of pixel region characteristic.
The primary clustering symbol description
The image sharpness consolidation system 200 of utilization pixel region characteristic
Regional area mean value unit 250 acutance computing units 260
YCbCr to RGB converting unit 290
Embodiment
The present invention relates to a kind of image sharpness intensifying method and system that uses the pixel region characteristic, it is carried out acutance for luminance signal of an image and strengthens, and this image is that a plurality of pixel by arranged constitutes.Fig. 2 is the calcspar that the present invention uses the image sharpness consolidation system of pixel region characteristic.This system 200 comprises a buffer 210, a minimum value generation unit 220, a maximum generation unit 230, a subtrator 240, a regional area mean value unit 250, an acutance computing unit 260, a sharpening processing unit 270, RGB to a YCbCr converting unit 280, and YCbCr to a RGB converting unit 290.
This RGB to YCbCr converting unit 280 is converted to the YCbCr territory with this image by RGB territory (RGB domain).
This buffer 210 is connected to this RGB to YCbCr converting unit 280, with the luminance signal of pixel in the regional area of temporary this image, wherein, have in this regional area a pixel (i, j), i, the location index of j remarked pixel in this image.Fig. 3 is the sketch map of regional area of the present invention, and wherein, this regional area is that (i j) is the 3X3 zone at center with this pixel; It comprises this pixel (i, j) and be positioned at this pixel (i, upper left, top j), upper right, left side, right side, a left side down, the pixel of below and bottom right (i-1, j-1), pixel (i-1; J), pixel (i-1, j+1), pixel (i, j-1), pixel (i, j+1), pixel (i+1; J-1), pixel (i+1, j), and pixel (i+1, j+1).
This minimum value generation unit 220 is connected to this buffer 210, in order to receiving the pixel in this regional area, and exports pixel brightness value min minimum in this regional area.Fig. 4 is the sketch map of minimum value generation unit 220 of the present invention, and this minimum value generation unit 220 can be described by a VHDL program code, and those skilled in the art also can be rewritten into Verilog program code or System c program code.
This maximum generation unit 230 is connected to this buffer 210, to receive the pixel in this regional area, exports pixel brightness value max maximum in this regional area.
This subtrator 240 is connected to this minimum value generator 220 and this maximum generator 230, deducts this minimum pixel brightness value min in order to pixel brightness value max that should maximum, and then produces a difference diff.
This regional area mean value unit 250 is connected to this buffer 210; In order to calculate the pixel intensity mean value in this regional area; And then export a regional area mean value localmean, wherein this regional area mean value localmean is again divided by the number of pixel in this regional area with all pixel brightness value additions in this regional area.
In the present embodiment, this regional area mean value localmean be with pixel (i-1, j-1), pixel (i-1; J), pixel (i-1, j+1), pixel (i, j-1), pixel (i; J), pixel (i, j+1), pixel (i+1, j-1), pixel (i+1; J), and pixel (i+1, after added luminance j+1) again divided by 9.Perhaps can be earlier (i j) moves right 3 after in addition the added luminance of 8 pixels again, and (i moves right after added luminance j) 1 again, thus to avoid the use of divider with pixel again with pixel.
This acutance computing unit 260 is connected to this subtrator 240 and this regional area mean value unit 250, and it is according to this difference diff, zone leveling value localmean and an adjustable integral coefficient r, in order to calculate this pixel (i, acutance factor j).Wherein, this acutance factor uses formula to represent:
s＝r-(diff÷256)，
Wherein, s is this acutance factor, and diff is this difference, and r is this adjustable integral coefficient, 2≤r≤3.Because 2≤r≤3 and difference diff are less than 256, so 1≤s≤3.
This sharpening processing unit 270 is connected to this buffer 210 and this acutance computing unit 260, and according to this acutance factor s, (i j) carries out sharpening and handles to this pixel.Wherein, 270 pairs of these pixels of this sharpening processing unit (i, j) carry out sharpening handle be to this pixel (i, j) carry out formula:
p’＝localmean+s×(p-localmean)，
Wherein, localmean is this regional area mean value, and s is this acutance, and p is that (i, brightness value j), p ' are this pixel (i, brightness value j) after the execution sharpening is handled to this pixel.When s=1, p '=p does not carry out sharpening, when s=3, p '=3 * p-2 * localmean, degree of depth sharpening is carried out in expression, in order to let this pixel (i, j) with this regional area in other pixel bigger difference is arranged, and then reach the purpose of sharpening.
This YCbCr to RGB converting unit 290 is connected to this this sharpening processing unit 270, so that this image is converted to RGB territory (RGB domain) by the YCbCr territory.
Those skilled in the art can be according to the description of front about this maximum generation unit 230, this subtrator 240, this regional area mean value unit 250, this acutance computing unit 260, this sharpening processing unit 270; And the program code of rewriting Fig. 4, so will not give unnecessary details.
Fig. 5 is the flow chart that the present invention uses the image sharpness intensifying method of pixel region characteristic, and it is carried out acutance to luminance signal of an image and strengthens, and this image is that a plurality of pixel by arranged constitutes.At first, in steps A 0, this image is converted to the YCbCr territory by the RGB territory.
In steps A; To comprising a pixel (i; J) its local features of regional area acquisition, it looks for pixel brightness value max maximum in this regional area and minimum pixel brightness value min, and then calculates a difference diff and a zone leveling value localmean.
This regional area is that (i j) is the NxN zone at center, for example 3X3 zone with this pixel; It comprises this pixel (i, j) and be positioned at this pixel (i, upper left, top j), upper right, left side, right side, a left side down, the pixel (i-1 of below and bottom right; J-1), pixel (i-1, j), pixel (i-1, j+1), pixel (i; J-1), pixel (i, j+1), pixel (i+1, j-1), pixel (i+1; J), and pixel (i+1, j+1), wherein; This difference diff deducts minimum pixel brightness value min for pixel brightness value max maximum in this regional area, and this regional area mean value localmean is again divided by the number of pixels in this regional area with all pixel brightness value additions in this regional area.
In the present embodiment, this regional area mean value localmean be with pixel (i-1, j-1), pixel (i-1; J), pixel (i-1, j+1), pixel (i, j-1), pixel (i; J), pixel (i, j+1), pixel (i+1, j-1), pixel (i+1; J), and pixel (i+1, after added luminance j+1) again divided by 9.Perhaps can be earlier (i j) moves right 3 after in addition the added luminance of 8 pixels again, and (i moves right after added luminance j) 1 again, thus to avoid the use of divider with pixel again with pixel.
In step B, according to this difference diff, to calculate this pixel (i, acutance factor s j).Wherein, this acutance factor s uses formula to represent:
s＝r-(diff÷256)，
Wherein, s is this acutance factor, and diff is this difference, and r is an adjustable integral coefficient, 2≤r≤3.Because 2≤r≤3 and difference diff are less than 256, so 1≤s≤3.
In step C, according to this acutance factor s, (i j) carries out sharpening and handles to this pixel.Wherein, to this pixel (i, j) carry out sharpening handle be to this pixel (i, j) carry out formula:
p’＝localmean+s×(p-localmean)，
Wherein, localmean is this regional area mean value localmean, and s is this acutance factor, and p is that (i, brightness value j), p ' are this pixel (i, brightness value j) after the execution sharpening is handled to this pixel.When s=1, p '=p does not carry out sharpening, and when s=2, p '=3 * p-2 * localmean carries out degree of depth sharpening, with let this pixel (i, j) with this regional area in other pixel bigger difference is arranged, to reach the purpose of sharpening.
In step D, repeat abovementioned steps A to C, all carry out sharpening until all pixels of this image and handle.
In step e, this image is converted to RGB territory (RGB domain) by the YCbCr territory.
Can know that by above stated specification the present invention need not to carry out high-pass filtering as prior art, also need not to carry out rim detection, can reach the purpose of image sharpening.The present invention analyzes and adjusts at brightness domain (Luma domain), through the mode of regional correlation enhancing (Local contrast stretching), reaches the purpose of image sharpening.The regional correlation that the present invention adopted strengthens (Local contrast stretching) can strengthen the regional correlation in the image, comprises the contrast to edge direction, and after the contrast of edge direction promoted, the acutance of image obtained to promote naturally.
Simultaneously, the degree of image sharpening can be determined by the acutance factor, and the acutance factor is to produce through region characteristic in the analysis image, and according to the difference of region characteristic in the image, the acutance of carrying out in various degree strengthens, thereby can obtain comparatively natural image.
Further, the invention provides one is different from existing unsharp masking (unsharp masking) method of using and strengthens image sharpness.And can produce the acutance factor of different sizes according to the difference of image-region property content, avoiding producing inadequately, acutance strengthens.Simultaneously, also avoid the existing shortcoming of using filter need use the hardware of a large amount of multipliers and adder.
From the above, no matter the present invention all shows it totally different in the characteristic of prior art with regard to purpose, means and effect, has practical value.But it should be noted that above-mentioned many embodiment have been merely to be convenient to explanation and to give an example, the interest field that the present invention advocated is from should being as the criterion so that claim is said, but not only limits to the foregoing description.
Claims (17)
1. an image sharpness intensifying method is carried out acutance to the luminance signal of an image and is strengthened computing, and wherein, this image is made up of with arranged a plurality of pixels, and the method comprising the steps of:
A) to its local features of regional area acquisition, in order to looking in this regional area a maximum pixel brightness value and a minimum pixel brightness value, and then calculate a difference and a zone leveling value, wherein this regional area comprises a pixel;
B) according to this difference, to calculate the acutance factor of this pixel;
C), this pixel is carried out sharpening handle according to this acutance factor; And
D) repeat abovementioned steps A) to C), all pixels are all carried out aforementioned sharpening processing in this image.
2. image sharpness intensifying method according to claim 1, wherein, this regional area is to be the 3X3 zone at center with this pixel, its also comprise upper left, the top that is positioned at this pixel, upper right, left side, right side, a left side down, below and bottom right pixel.
3. image sharpness intensifying method according to claim 2; Wherein, This difference deducts this minimum pixel brightness value for this maximum pixel brightness value, and this regional area mean value is again divided by the number of all pixels in this regional area with all pixel brightness value additions in this regional area.
4. image sharpness intensifying method according to claim 3, wherein, this acutance factor uses formula to represent:
s＝r-(diff÷256)，
Wherein, s is this acutance factor, and diff is this difference, and r is an adjustable integral coefficient, 2≤r≤3.
5. image sharpness intensifying method according to claim 3, wherein, it is that this pixel is carried out formula that this pixel is carried out the sharpening processing:
p’＝localmean+s×(p-localmean)，
Wherein, localmean is this regional area mean value, and s is this acutance factor, and p is the brightness value of this pixel, and p ' is this pixel (i, brightness value j) after the execution sharpening is handled.
6. image sharpness intensifying method according to claim 1 is wherein in steps A) also comprise step before:
A0) this image is converted to the YCbCr territory by the RGB territory.
7. image sharpness intensifying method according to claim 6 is wherein at step D) also comprise step afterwards:
E) this image is converted to this RGB territory by this YCbCr territory.
8. image sharpness intensifying method according to claim 5; Wherein, This regional area mean value is with upper left, the top that is positioned at this pixel, upper right, left side, right side, a left side down, move right 3 again after the added luminance of below and bottom right pixel, moves right 1 more again with after the added luminance of this pixel.
9. image sharpness intensifying method according to claim 8, wherein, when this acutance factor is 1; Not carrying out aforementioned sharpening handles; When this acutance factor is 3, carries out degree of depth sharpening, and then let other pixel in this pixel and this regional area produce bigger difference.
10. image sharpness consolidation system that uses the pixel region characteristic, its luminance signal to an image is carried out acutance and is strengthened computing, and this image is made up of with arranged a plurality of pixels, and this system comprises:
One buffer, the pixel brightness value in order in the regional area of temporary this image wherein has corresponding pixel in this regional area;
One minimum value generation unit is connected to this buffer, in order to receiving corresponding this pixel in this regional area, and then exports pixel brightness value minimum in this regional area;
One maximum generation unit is connected to this buffer, in order to receiving corresponding this pixel in this regional area, and then exports pixel brightness value maximum in this regional area;
One subtrator is connected to this minimum value generator and this maximum generator, deducts this minimum pixel brightness value in order to pixel brightness value that should maximum, and then produces a difference;
One zone leveling value cell is connected to this buffer, in order to calculating the average brightness of corresponding this pixel in this regional area, and then exports a zone leveling value;
One acutance computing unit is connected to this subtrator and this regional area mean value unit, and it is according to this difference, this zone leveling value and an adjustable integral coefficient, in order to calculate the acutance factor of this pixel;
One sharpening processing unit is connected to this buffer and this acutance computing unit, according to this acutance factor, this pixel is carried out sharpening handle.
11. the image sharpness consolidation system of utilization pixel region characteristic according to claim 10; Wherein, This regional area is to be the 3X3 zone at center with this pixel, its also comprise upper left, the top that is positioned at this pixel, upper right, left side, right side, a left side down, below and bottom right pixel.
12. the image sharpness consolidation system of utilization pixel region characteristic according to claim 11, wherein, this regional area mean value is again divided by the number of all pixels in this regional area with all pixel brightness value additions in this regional area.
13. the image sharpness consolidation system of utilization pixel region characteristic according to claim 12, wherein, this acutance factor uses formula to represent:
s＝r-(diff÷256)，
Wherein, s is this acutance factor, and diff is this difference, and r is this adjustable integral coefficient, 2≤r≤3.
14. the image sharpness consolidation system of utilization pixel region characteristic according to claim 13, wherein, this sharpening processing unit to this pixel (i, j) carrying out that sharpening handles is that this pixel is carried out formula:
p’＝localmean+s×(p-localmean)，
Wherein, localmean is this regional area mean value, and s is this acutance factor, and p is the brightness value of this pixel, and p ' is the brightness value of this pixel after the execution sharpening is handled.
15. the image sharpness consolidation system of utilization pixel region characteristic according to claim 10, it also comprises:
One RGB to YCbCr converting unit is converted to the YCbCr territory with this image by the RGB territory, and then exports this buffer to; And
One YCbCr to RGB converting unit is connected to this this sharpening processing unit, in order to this image is converted to this RGB territory by this YCbCr territory.
16. the image sharpness consolidation system of utilization pixel region characteristic according to claim 14; Wherein, This regional area mean value is with upper left, the top that is positioned at this pixel, upper right, left side, right side, a left side down, move right 3 again after the added luminance of below and bottom right pixel, moves right 1 more again with after the added luminance of this pixel.
17. the image sharpness consolidation system of utilization pixel region characteristic according to claim 16; Wherein, When this acutance factor is 1, does not carry out this sharpening and handle, when this acutance factor is 3; Carry out degree of depth sharpening, and then let other pixel in this pixel and this regional area produce bigger difference.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105047179A (en) * | 2015-06-01 | 2015-11-11 | 中国科学院上海高等研究院 | Current limiting method and device of display screen |
| WO2017071499A1 (en) * | 2015-10-28 | 2017-05-04 | 努比亚技术有限公司 | Image sharpening method and mobile terminal |
| CN110807750A (en) * | 2019-11-14 | 2020-02-18 | 青岛海信电器股份有限公司 | Image processing method and apparatus |
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| US20020081022A1 (en) * | 1999-05-13 | 2002-06-27 | Ranjit Bhaskar | Contrast enhancement of an image using luminance and RGB statistical metrics |
| US20060007497A1 (en) * | 2004-07-07 | 2006-01-12 | Brother Kogyo Kabushiki Kaisha | Image processing apparatus |
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| US20020081022A1 (en) * | 1999-05-13 | 2002-06-27 | Ranjit Bhaskar | Contrast enhancement of an image using luminance and RGB statistical metrics |
| US20060007497A1 (en) * | 2004-07-07 | 2006-01-12 | Brother Kogyo Kabushiki Kaisha | Image processing apparatus |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105047179A (en) * | 2015-06-01 | 2015-11-11 | 中国科学院上海高等研究院 | Current limiting method and device of display screen |
| WO2017071499A1 (en) * | 2015-10-28 | 2017-05-04 | 努比亚技术有限公司 | Image sharpening method and mobile terminal |
| CN110807750A (en) * | 2019-11-14 | 2020-02-18 | 青岛海信电器股份有限公司 | Image processing method and apparatus |
| CN110807750B (en) * | 2019-11-14 | 2022-11-18 | 海信视像科技股份有限公司 | Image processing method and apparatus |
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