CN102780835A - Image processing device - Google Patents
Image processing device Download PDFInfo
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- CN102780835A CN102780835A CN2012102825480A CN201210282548A CN102780835A CN 102780835 A CN102780835 A CN 102780835A CN 2012102825480 A CN2012102825480 A CN 2012102825480A CN 201210282548 A CN201210282548 A CN 201210282548A CN 102780835 A CN102780835 A CN 102780835A
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Abstract
The invention discloses an image processing device. The image processing device comprises an edge detection module for detecting the image edge of each pixel in an original image data, and generating at least one edge detection result for a target pixel in the original image data; an adjusting unit coupled with the edge detection module and used for acquiring a gain coefficient according to at least one slope parameter, a threshold parameter and the edge detection result; and a computing module coupled with the adjusting unit and used for adjusting an original grey value of the target pixel according to the edge detection result and the gain coefficient to generate an output grey value of the target pixel. Accordingly, the image processing device provided by the invention can acquire the gain coefficient according to the at least one slope parameter, the threshold parameter and the edge detection result, thereby adjusting the image sharpness of the image data.
Description
Technical field
The present invention relates to a kind of image processor, it is to relate to a kind of image processor that utilizes a Slope Parameters and a door parameter to adjust the image sharpness.
Background technology
For the color digital image, judge the good and bad of digital color video quality usually, except depending on the color saturation of this color digital image, image sharpness (Sharpness) also is a very important index.Wherein, Image sharpness very corrupt; Mainly be whether the light and shade boundary edge depending in the image to be shown is clearly demarcated; Because the edge that light and shade is had a common boundary in the image belongs to HFS more, again at the image signal of handling sensing when HFS is lossy, the video picture picture that shows at last often seems fuzzy and is difficult to clearly identification in the image penumbra.
Yet; In the known techniques; Though have the method and the device of numerous adjustment image sharpnesses; But in these methods and device, do not have to the different frequency bands sharpness of image data and adjust, and in the image sharpness adjusting device of known techniques and image sharpness regulating method thereof, still have halo effect (Halo effects) yet.
Summary of the invention
One of the object of the invention is to provide a kind of image processor, and it utilizes an adjustment unit to learn a gain coefficient according at least one Slope Parameters, a door parameter and one edge detecting result, and the image sharpness of adjustment image data.
One of the object of the invention is to provide a kind of image processor, and it utilizes a high pass filter, first band pass filter and second band pass filter and can the different frequency bands sharpness be adjusted, with the gain of adjustment different frequency bands.
One of the object of the invention is to provide a kind of image processor, and it utilizes a plurality of coring processing units and slows down low level noise (low level noise) and halo effect.
One of the object of the invention is to provide a kind of image processor, and it utilizes a low pass filter and integrates and finely tune the gain of different frequency bands.
Image processor of the present invention comprises one edge detecting module, an adjustment unit and a computing module.The edge detection module is detected in order to each pixel in the raw video data is carried out image edge, and an object pixel in these raw video data is produced at least one edge detection result; Adjustment unit couples this edge detection module, and produces a gain coefficient according at least one Slope Parameters, a door parameter and this edge detection result; And computing module couples this adjustment unit, and according to an original GTG value of this this object pixel of gain coefficient adjustment to produce an output GTG value of this object pixel.So, the present invention utilizes an adjustment unit to obtain a gain coefficient according at least one Slope Parameters, a door parameter and edge detection result, and then the image sharpness of adjustment image data.
Moreover the edge detection module of image processor of the present invention comprises a high pass filter, one first band pass filter and one second band pass filter.These raw video data of high pass filter high-pass filtering and produce a high-pass filtering result; These raw video data of the first band pass filter bandpass filtering and produce one first bandpass filtering result; And second these raw video data of band pass filter bandpass filtering and produce one second bandpass filtering result.So, the present invention utilizes high pass filter, first band pass filter and second band pass filter and can the different frequency bands sharpness be adjusted, with the gain of adjustment different frequency bands.
In addition, the edge detection module of image processor of the present invention more comprises one first coring processing unit, one second coring processing unit and one the 3rd coring processing unit.The first coring processing unit couples this high pass filter, and this high-pass filtering of coring result, and produces one first coring result; The second coring processing unit couples this first band pass filter, and this first bandpass filtering of coring result, and produces one second coring result; And the 3rd the coring processing unit couple this second band pass filter; And this second bandpass filtering of coring result; And produce one the 3rd coring result, so, the present invention utilizes a plurality of coring processing units and slows down low level noise (low level noise) and halo effect.
Again, the edge detection module of image processor of the present invention more comprises a low pass filter.This first multiplier of low pass filter coupled, this second multiplier and the 3rd multiplier; And integration and this first multiplication result of LPF, this second multiplication result and the 3rd multiplication result; And produce a LPF result; And transmit this LPF result to this adjustment unit, to produce this gain coefficient.So, the present invention utilizes low pass filter and integrates and finely tune the gain of different frequency bands.
The beneficial effect that embodiment of the present invention produces is: image processor of the present invention is detected in order to each pixel in the raw video data is carried out image edge through the one edge detecting module, and an object pixel in the raw video data is produced at least one edge detection result; One adjustment unit couples the edge detection module, and produces a gain coefficient according at least one Slope Parameters, a door parameter and edge detection result; And one computing module couple adjustment unit, and according to an original GTG value of gain coefficient adjustment object pixel producing an output GTG value of object pixel, thereby realize adjustment to the image sharpness of image data.
Further, the present invention can adjust the different frequency bands sharpness through bandpass filter, first band pass filter and second band pass filter, realizes the gain adjustment of different frequency bands.
Further, the present invention slows down low level noise (low level noise) and halo effect through a plurality of coring processing units.
Further, the present invention integrates and finely tunes the gain of different frequency bands through a low pass filter.
Description of drawings
Fig. 1 is the calcspar of one first embodiment of image processor of the present invention;
Fig. 2 is an image detecting result's of the present invention absolute value and the sketch map of gain coefficient relation;
Fig. 3 is the sketch map of an input/output relation of coring processing unit of the present invention;
Fig. 4 is the calcspar of one second embodiment of image processor of the present invention;
Fig. 5 is the calcspar of one the 3rd embodiment of image processor of the present invention;
Fig. 6 is the calcspar of one the 4th embodiment of image processor of the present invention;
Fig. 7 is the calcspar of one the 5th embodiment of image processor of the present invention; And
Fig. 8 is applied to the calcspar of an embodiment of the image processor of colourity for the present invention.
[figure number is to as directed]
10 edge detection modules, 12 high pass filters
14 first band pass filters, 16 second band pass filters
18 low pass filters, 19 adder units
20 adjustment units, 30 computing units
32 first multipliers, 34 first adders
40 delay cells, 52 first coring processing units
54 second coring processing units 56 the 3rd coring processing unit
62 first multiplication units, 64 second multiplication units
66 the 3rd multiplication units, 72 filters
74 coring processing units, 76 multiplication units
80 noise suppression unit, 90 edge detection modules
900 filters, 902 coring processing units
904 multiplication units, 92 adders
94 delay cells
Embodiment
For the effect that makes architectural feature of the present invention and reached has further understanding and understanding, the spy is with preferred embodiment and cooperate detailed explanation, explains as follows:
See also Fig. 1, it is the calcspar of an embodiment of image processor of the present invention.Image processor of the present invention as shown in Figure 1 comprises one edge detecting module 10, an adjustment unit 20 and a computing module 30.Edge detection module 10 is in order to carry out the image edge detecting to each pixel in the raw video data; And an object pixel in these raw video data produced at least one edge detection result; Be that edge detection module 10 can receive the raw video data successively, and from those raw video data, find out object pixel and produce the edge detection result.As for how to carry out the image edge detecting from those raw video data, detailed description can be arranged below, do not detail earlier in this.
Consult Fig. 1 again; Computing module 30 couples adjustment unit 20; And an original GTG value of adjusting object pixel according to the gain coefficient of adjustment unit 20 outputs is to produce an output GTG value of object pixel; Be gain coefficient Weighting, edge detection result and the raw video data that computing module 30 receives adjustment unit 20 outputs; With the object pixel of computing gain coefficient Weighting, edge detection result and raw video data, and then the original GTG value of adjustment object pixel is to produce the output GTG value of object pixel.
Hold the above, computing module 30 of the present invention comprises one first multiplier 32 and a first adder 34.First multiplier 32 couples adjustment unit 20; First multiplier 32 receives the gain coefficient Weighting and the edge detection result of adjustment unit 20 outputs; And the edge detection result multiply by the gain coefficient Weighting that Slope Parameters and door parameter through object pixel are produced; To produce an adjustment back edge detecting result; First adder 34 couples first multiplier 32, and the original GTG value of the object pixel in the totalling raw video data produces the output GTG value of object pixel with adjustment back edge detecting result, to reach the purpose of adjustment image sharpness.
In addition, image processor of the present invention more comprises a delay cell 40.Delay cell 40 is in order to postpone the raw video data; And transmit the raw video data to first adder 34; Produce the output GTG value of object pixel with adjustment back edge detecting result for the original GTG value of first adder 34 totalling object pixels, to reach the purpose of adjustment image sharpness.
Moreover edge detection module 10 of the present invention more comprises one first coring (Coring) processing unit 52, one second coring processing unit 54, one the 3rd coring processing unit 56, one first multiplication unit 62, one second multiplication unit 64 and one the 3rd multiplication unit 66.The first coring processing unit 52 couples high pass filter 12; And the high-pass filtering result of coring high pass filter 12 outputs; And produce one first coring result; First multiplier 62 couples the first coring processing unit 52, and the first coring result is multiplied by one first parameter W_hp, and produces one first multiplication result; The second coring processing unit 54 couples first band pass filter 14; And the first bandpass filtering result of coring first band pass filter output; And produce one second coring result; Second multiplier 64 couples the second coring processing unit 54, and the second coring result is multiplied by one second parameter W_bpl, and produces one second multiplication result; The 3rd coring processing unit 56 couples second band pass filter 16; And the second bandpass filtering result of coring second band pass filter 16 outputs; And produce one the 3rd coring result; The 3rd multiplier 66 couples the 3rd coring processing unit 56, and the 3rd coring result is multiplied by one the 3rd parameter W_bp2, and produces one the 3rd multiplication result.
Based on above-mentioned, please consult Fig. 3 in the lump, it is the sketch map of an input/output relation of coring processing unit of the present invention.As shown in Figure 3, the first coring processing unit 52 of the present invention, the second coring processing unit 54 and the 3rd coring processing unit 56 are in order to reducing low level noise (low-level noise), but a plurality of threshold values of coring processing unit inner setting of the present invention; In present embodiment, the coring processing unit of present embodiment is set two groups of threshold values, i.e. first group of threshold value th_a;-th_a and second group of threshold value th_b;-th_b, and the coring processing unit sets different yield values according to different threshold values, as shown in Figure 4; The filtered that is received when the coring processing unit is less than first group of threshold value th_a, and yield value is zero during the absolute value of-th_a; The filtered that is received when the coring processing unit is greater than first group of threshold value th_a, the absolute value of-th_a and less than second group of threshold value th_b, during the absolute value of-th_b, its yield value is 1; The filtered that is received when the coring processing unit is greater than second group of threshold value th_b; During the absolute value of-th_b; Its yield value is greater than or less than 1, and so, the present invention's coring processing unit capable of using is set many group threshold values and slowed down low level noise (low level noise) and halo effect.In addition, when coring processing unit of the present invention was set more groups of threshold values, its effect of slowing down halo effect was good more, so will no longer give unnecessary details in this.
Please consult Fig. 1 again, image processor of the present invention more comprises a low pass filter 18.Low pass filter 18 couples first multiplication unit 62, second multiplication unit 64 and the 3rd multiplication unit 66; And integration and LPF first multiplication result, second multiplication result and the 3rd multiplication result; And produce a LPF result; And transmit the LPF result to adjustment unit 20, to produce this gain coefficient.Low pass filter 18 of the present invention is in order to integrate first multiplication result, second multiplication result and the 3rd multiplication result; Just integrate high pass filter 12, first band pass filter 14 and second band pass filter, 16 filtered raw video data, and carry out LPF and right raw video data are finely tuned to produce the edge detection result.
See also Fig. 4, it is the calcspar of another embodiment of image processor of the present invention.As shown in Figure 4, the embodiment difference of present embodiment and Fig. 1 is that present embodiment does not use low pass filter shown in Figure 1 18, and changes to use an adder unit 19.The adder unit 19 of present embodiment couples first multiplication unit 62, second multiplication unit 64 and the 3rd multiplication unit 66; And totalling first multiplication result, second multiplication result the 3rd multiplication result; Add overall result and produce one, and transmit and to add overall result to adjustment unit 20, to produce gain coefficient.
See also Fig. 5, it is the calcspar of the another embodiment of image processor of the present invention.As shown in Figure 5, present embodiment and the above embodiments difference are that the multiplication unit and the coring processing unit of edge detection module 10 in the image processor of present embodiment exchanged; First multiplication unit 62 that is present embodiment couples high pass filter 12; And the high-pass filtering result is multiplied by the first parameter W-hp, and produce first multiplication result, the first coring processing unit 52 couples first multiplication unit 62; And coring first multiplication result, and produce the first coring result; Second multiplication unit 64 couples first band pass filter 14; And the first bandpass filtering result is multiplied by the second parameter W_bp1; And producing second multiplication result, the second coring processing unit 54 couples second multiplication unit 64, and coring second multiplication result and produce the second coring result; The 3rd multiplication unit 66 couples second band pass filter 56; And the second bandpass filtering result is multiplied by the 3rd parameter W_bp2, and produce the 3rd multiplication result, the 3rd coring processing unit 56 couples the 3rd multiplication unit 66; And coring the 3rd multiplication result, and produce the 3rd coring result.
Afterwards; The low pass filter 18 of present embodiment couples the first coring processing unit 52, second and takes advantage of coring processing unit 54 and the 3rd coring processing unit 56; And integration and the LPF first coring result, the second coring result and the 3rd coring result; And produce the LPF result, and transmit the LPF result to adjustment unit 20, to set Slope Parameters.So, present embodiment is exchanged the multiplication unit of edge detection module 10 and coring processing unit still and can be carried out the adjustment of image sharpness.
See also Fig. 6, be the calcspar of an embodiment again of image processor of the present invention.As shown in Figure 6, the embodiment difference of present embodiment and Fig. 5 is that present embodiment does not use low pass filter shown in Figure 5 18, and changes to use an adder unit 19.The adder unit 19 of present embodiment couples first multiplication unit 62, second multiplication unit 64 and the 3rd multiplication unit 66; And totalling first multiplication result, second multiplication result the 3rd multiplication result; Add overall result and produce, and to transmit and add overall result to adjustment unit 20, to produce gain coefficient.
See also Fig. 7, it is the calcspar of one the 5th embodiment of image processor of the present invention.As shown in Figure 7, present embodiment and the above embodiments difference, the edge detection module 10 that is present embodiment only comprise a filter 72, a coring processing unit 74 and a multiplication unit 76.Original raw video data of filter 72 filtering and produce a filtered; Coring processing unit 74 couples filter 72, and coring filtered and produce a coring result, and multiplication unit 76 couples coring processing unit 74; And the coring result is multiplied by a parameter W-p; And producing the edge detection result, its detailed content is no longer given unnecessary details in this in above-mentioned explanation.In addition, filter 72 can be a low pass filter, a high pass filter or a band pass filter.
Connect saidly,, so can reach circuit and simply dwindle circuit area, and then reach cost-effective purpose because the edge detection module 10 of present embodiment only needs filter 72, a coring processing unit 74 and a multiplication unit 76 to get final product.
In addition, the image processor of present embodiment more comprises a noise suppression unit 80.Noise suppression unit 80 be arranged at edge detection module 10 before, earlier the raw video data being carried out noise suppressed, and strengthen the edge of image.
Please consult Fig. 8 in the lump, it is applied to the calcspar of an embodiment of the image processor of colourity for the present invention.As shown in Figure 8; The present invention can use the different images processing unit to carry out image processing respectively to different images data in the color space; When for example the present invention is applied to color space and is the YCbCr image data; Above-mentioned image processor then can be handled the Y image data, and the image processor of present embodiment then can be handled Cb image data and Cr image data, and the image processor of present embodiment comprises one edge detecting module 90, an adder 92 and a delay cell 94.Edge detection module 90 is in order to carry out edge detection to each pixel in original Cb image data and the original Cr image data; And to the generation of the object pixel in original Cb image data and original Cr image data one edge detecting result; Simultaneously; Delay cell 94 is in order to postpone original Cb image data and original Cr image data; And the original Cb image data after will postponing and original Cr image data be sent to adder 92, adder 92 addition edge detection results with postpone after original Cb image data export with original Cr image data, with completion Cb image data and Cr image data are carried out image processing.
In addition, the edge detection module 90 of present embodiment comprises a filter 900, a coring processing unit 902 and a multiplication unit 904.Original Cb image data of filter 900 filtering and original Cr image data and produce a filtered; Coring processing unit 902 couples filter 900, and coring filtered and produce a coring result, and multiplication unit 904 couples coring processing unit 902; And the coring result is multiplied by a parameter W-p; And producing the edge detection result, its detailed content is no longer given unnecessary details in this in above-mentioned explanation.In addition, filter 900 can be a low pass filter, a high pass filter or a band pass filter.
In sum, image processor of the present invention is to be detected in order to each pixel in the raw video data is carried out image edge by the one edge detecting module, and an object pixel in the raw video data is produced at least one edge detection result; One adjustment unit couples the edge detection module, and produces a gain coefficient according at least one Slope Parameters, a door parameter and edge detection result; And one computing module couple adjustment unit, and according to an original GTG value of gain coefficient adjustment object pixel to produce an output GTG value of object pixel.So, the present invention utilizes adjustment unit to produce a gain coefficient according at least one Slope Parameters, a door parameter and edge detection result, and the image sharpness of adjustment image data.
Preceding text are merely preferred embodiment of the present invention; Be not to be used for limiting the scope that the present invention implements; All equalizations of doing according to the described shape of claim scope of the present invention, structure, characteristic and spirit change and modify, and all should be included in the claim scope of the present invention.
Claims (12)
1. image processor is characterized in that it comprises:
The one edge detecting module is detected in order to each pixel in the raw video data is carried out image edge, and an object pixel in these raw video data is produced at least one edge detection result;
One adjustment unit couples this edge detection module, and an at least one Slope Parameters decided at the higher level but not officially announced and a door parameter, and produces a gain coefficient according to this Slope Parameters, this door parameter and this edge detection result; And
One computing module couples this adjustment unit, and exports the GTG value according to an original GTG value of this edge detection result and this object pixel of this gain coefficient adjustment to produce one of this object pixel.
2. image processor as claimed in claim 1; It is characterized in that; Wherein this adjustment unit is set an at least one Slope Parameters and a door parameter; And produce a low door parameter and a high threshold parameter according to this Slope Parameters and this door parameter, make this adjustment unit produce this gain coefficient according to this edge detection result.
3. image processor as claimed in claim 1 is characterized in that, wherein this computing module comprises:
One multiplier couples this adjustment unit, detects the result in order to this gain coefficient according to this edge detection result and this object pixel to produce an adjustment back edge; And
One adder couples this multiplier, and this original GTG value of this object pixel of totalling and this adjustment back edge detecting result is to produce the output GTG value of this object pixel.
4. image processor as claimed in claim 3 is characterized in that it more comprises:
One delay cell in order to postponing this raw video data, and transmits these raw video data to this adder, for this original GTG value of this object pixel of adder totalling and should adjustment back edge detecting result.
5. image processor as claimed in claim 1 is characterized in that, wherein this edge detection module comprises:
One high pass filter, these raw video data of high-pass filtering and produce a high-pass filtering result;
One first band pass filter, these raw video data of bandpass filtering and produce one first bandpass filtering result; And
One second band pass filter, these raw video data of bandpass filtering and produce one second bandpass filtering result.
6. image processor as claimed in claim 5 is characterized in that, its this edge detection module more comprises:
One first coring processing unit couples this high pass filter, and this high-pass filtering of coring result, and produces one first coring result;
One first multiplication unit couples this first coring processing unit, and the first coring result is multiplied by one first parameter, and produces one first multiplication result;
One second coring processing unit couples this first band pass filter, and this first bandpass filtering of coring result, and produces one second coring result;
One second multiplication unit couples this second coring processing unit, and this second coring result is multiplied by one second parameter, and produces one second multiplication result;
One the 3rd coring processing unit couples this second band pass filter, and this second bandpass filtering of coring result, and produces one the 3rd coring result; And
One the 3rd multiplication unit couples the 3rd coring processing unit, and the 3rd coring result is multiplied by one the 3rd parameter, and produces one the 3rd multiplication result.
7. image processor as claimed in claim 6 is characterized in that, wherein this edge detection module more comprises:
One low pass filter; Couple this first multiplication unit, this second multiplication unit and the 3rd multiplication unit; And integration and this first multiplication result of LPF, this second multiplication result and the 3rd multiplication result; And produce a LPF result, and transmit this LPF result to this adjustment unit, to set this gain coefficient.
8. image processor as claimed in claim 7 is characterized in that, wherein this edge detection module more comprises:
One adder unit; Couple this first multiplication unit, this second multiplication unit and the 3rd multiplication unit, and this first multiplication result of totalling, this second multiplication result and the 3rd multiplication result, add overall result and produce one; And transmit this and add overall result, to set this gain parameter to this adjustment unit.
9. image processor as claimed in claim 5 is characterized in that, wherein this edge detection module more comprises:
One first multiplication unit couples this high pass filter, and the high-pass filtering result is multiplied by one first parameter, and produces one first multiplication result;
One first coring processing unit couples this first multiplication unit, and this first multiplication result of coring, and produces one first coring result;
One second multiplication unit couples this first band pass filter, and this first bandpass filtering result is multiplied by one second parameter, and produces one second multiplication result;
One second coring processing unit couples this second multiplication unit, and this second multiplication result of coring, and produces one second coring result;
One the 3rd multiplication unit couples this second band pass filter, and this second bandpass filtering result is multiplied by one the 3rd parameter, and produces one the 3rd multiplication result; And
One the 3rd coring processing unit couples the 3rd multiplication unit, and coring the 3rd multiplication result, and produces one the 3rd coring result.
10. image processor as claimed in claim 9 is characterized in that, wherein this edge detection module more comprises:
One low pass filter; Couple this first coring processing unit, this second takes advantage of coring processing unit and the 3rd coring processing unit; And integration and this first coring of LPF result, this second coring result and the 3rd coring result; And produce a LPF result, and transmit this LPF result to this adjustment unit, to set this gain coefficient.
11. image processor as claimed in claim 9 is characterized in that, wherein this edge detection module more comprises:
One adder unit; Couple this first coring processing unit, this second coring processing unit and the 3rd coring processing unit; And this first coring of totalling result, this second coring result and the 3rd coring result; Add overall result and produce one, and transmit this and add overall result, to set this gain coefficient to this adjustment unit.
12. image processor as claimed in claim 1 is characterized in that, wherein this edge detection module comprises:
One filter, these raw video data of filtering and produce a filtered;
One coring processing unit couples this filter, and this filtered of coring, and produces a coring result; And
One multiplication unit couples this coring processing unit, and the coring result is multiplied by a parameter, and produces this edge detection result.
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Application publication date: 20121114 |