CN1700727A - Image processing method - Google Patents
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- CN1700727A CN1700727A CN 200510008802 CN200510008802A CN1700727A CN 1700727 A CN1700727 A CN 1700727A CN 200510008802 CN200510008802 CN 200510008802 CN 200510008802 A CN200510008802 A CN 200510008802A CN 1700727 A CN1700727 A CN 1700727A
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Abstract
This invention relates to one device and method to adjust screen display position, which comprises the following steps: catching one visual materials ported hidden font first position control signal; then generating one font material flow one font and one second position control signals to adjust the display of the screen font to make one play unit to receive the video data to get the second control signals to display the font.
Description
Technical field:
The present invention discloses a kind of image treatment method, particularly on image sharpness adjustment technology.
Background technology:
At present existing increasing device for image equipment is as scanner, so that come pick-up image with the electronic type sensing element.And all being form with digitisation usually, the image that gets off that captures stored.Yet this kind intercepting image is often because be subjected to the faulty optical element restriction or the deficiency of pixel resolution, and makes the object edge that is presented in its image produce unclear or fuzzy phenomenon.Therefore, after digital image captured through the electronic type device, hope can be strengthened the quality that its sharpness promotes image usually.With known techniques, the mode of traditional reinforcement sharpness, normally utilize complex mathematical calculating formula or algorithm, zone in the image part, allow bright relatively pixel more strengthen its brightness or allow dark relatively pixel more lower its brightness, make the object edge in the image more obviously strengthen the sharpness of digital image.
Please refer to Fig. 1, Fig. 1 is an one dimension image schematic diagram, wherein higher numerical value such as the brighter brightness value of label 11 expressions, and lower numerical value represents that as 12 darker brightness value, label 11 and label 12 places present clearly image brilliance variation usually, as the edge of object.Other consults label 21 and label 22 among Fig. 2, and the border that has same position compared to first number in the figure 11 and label 12 shows, brightness changes slope and comparatively relaxes among Fig. 2, and the image that is presented is comparatively fuzzy.Fig. 3 is in the prior art, utilizes the result that figure subtracts each other among Fig. 1 and Fig. 2, and wherein symbol P and symbol N have identical numerical value usually, and can be considered as respectively be one just to reach a negative enhancing parameter.
See also Fig. 4, its figure is the figure among Fig. 1 and the result of the figure addition among Fig. 3.By among Fig. 4 as can be seen, originally brighter zone such as label 41 positions have been strengthened brightness again, and the brightness deterioration of darker zone such as label 42 positions, this measure can make the border of figure more obvious, can reach the sharp keen stiffening effect of image.Yet, produce and even subtract each other by the figure among Fig. 2, and then after producing figure among Fig. 3, again row and Fig. 1 addition with figure among Fig. 1; In practical application, the plus-minus mutually of above-mentioned figure needs extra complex mathematical function or the matrix computations of cooperating, and just can avoid the excessive reinforcement of image or amplify the noise in the image.
Continue with reference to figure 5, figure is sharp keenization of the bidimensional image operator in the prior art, can include nine coefficients usually.Fig. 6 is original image numerical value.Fig. 7 is that then the image after Fig. 6 is through Fig. 5 matrix computations strengthens numerical value figure, usually in prior art, and after the image of sharp keenization is meant that Fig. 7 is multiplied by an intensification factor parameter, the continuous Fig. 6 that adds.Wherein, the intensification factor parameter strengthens, and the degree of its sharp keenization of image is improved.From Fig. 5, Fig. 6 and Fig. 7, be example with the image sharpness that strengthens location of pixels E among Fig. 6, its calculating process is as follows:
A, the B, C, D, F, G, H and the I that find out neighborhood pixels position E as shown in Figure 6 are contiguous pixel intensity.
The image of its location of pixels E strengthens numerical value and can be calculated by following formula:
ΔE＝8*E+(-1)*A+(-1)*B+(-1)*C+(-1)*D+(-1)*F+(-1)*G+(-1)*H+(-1)*I
If all pixels among Fig. 6 are all calculated with above-mentioned formula, the image that just can draw Fig. 7 strengthens numerical value figure.Yet, in the above-mentioned prior art method, in practical application, may amplify the noise in the image, or may produce that excessive image strengthens numerical value and the excessive reinforcement that causes image, for fear of these problems, need cooperate more complicated algorithm to do correlated judgment and cooperation toward contact, as the differentiation at noise filtration or image sharpened edge place.
Summary of the invention:
In view of this, main purpose of the present invention is the processing method that discloses a kind of sharp keenization of simplifying of image, utilize the spatially masked effect in the human vision, strengthen the image sharpness between wantonly 2 neighborhood pixels points, avoid complex mathematical function or matrix computations in the prior art, with computing time and the real degree of difficulty of doing that lowers required cost.
In the image treatment method that the present invention carried, more disclose the reasonable amplitude that image strengthens numerical value.For wantonly two adjacent pixels, setting of image brightness adjusted value of the present invention be similar to above-mentioned two neighbor points luminance difference 1/10th, meeting the spatially masked effect in the human vision, and simplify the algorithm flow process.
In addition, the image treatment method that the present invention carried, more disclose default first threshold value, in order to judge when above-mentioned brightness limit height value less than above-mentioned when presetting first threshold value, can be used as and adjusting above-mentioned adjusted value is null value or negative value, to avoid unnecessary noise to amplify, cause the destruction of raw video.
Again, the image treatment method that the present invention carried, more disclose default second threshold value, in order to judge the strength difference of the neighbor point that the position distance is far away in one the 3rd neighbor point and above-mentioned two neighbor points, if when the absolute value of this strength difference is preset second threshold value greater than this, can carry out the adjustment of this image sharpness.By this, can avoid mistuning to amplify image incidental information.
Again, the disclosed image treatment method of the present invention, when practice image sharpness in the two-dimensional space mask program is adjusted, more disclose and utilize one of intensity level of calculating a benchmark picture element and contiguous eight picture elements absolute value difference to adjust one of above-mentioned all picture element intensity levels adjusted value as one.
Description of drawings:
Fig. 1 is the schematic diagram of its image position and corresponding brightness value in the one dimension image in the prior art;
Fig. 2 is the schematic diagram of its image position and corresponding brightness value in another dimension image in the prior art;
The result of Fig. 3 for utilizing the figure among Fig. 1 and Fig. 2 to subtract each other in the prior art;
Fig. 4 is for utilizing the result of the figure addition among Fig. 1 and Fig. 3 in the prior art;
Fig. 5 is the example of sharp keenization of the bidimensional image parameter of required utilization in the prior art;
Fig. 6 is an image numerical value original in the prior art;
Fig. 7 is that Fig. 6 strengthens numerical value figure through the image of gained after Fig. 5 matrix computations in the prior art;
Fig. 8 in the embodiment of the invention in the one dimension image schematic diagram (solid line part) of its image position and respective intensities value and strengthen its image sharpness after the schematic diagram (dotted portion) of its corresponding brightness value;
Fig. 9 is in the embodiment of the invention, and the spatially masked effect of utilizing (solid line part) is strengthened the schematic diagram of its image sharpness (dotted portion);
Figure 10 is in the embodiment of the invention, in order to judge a schematic diagram of noise;
Figure 11 is in the embodiment of the invention, in order to judge another schematic diagram of noise;
Figure 12 is in the embodiment of the invention, is that the main pixel of sharp keenization is the schematic diagram of example with pixel e in bidimensional image;
Figure 13 is in the embodiment of the invention, in order to judge whether cusp noise schematic diagram of this zone.
Wherein,
Symbol P: one on the occasion of strengthening parameter;
Symbol N: a negative value strengthens parameter;
Symbol A, B, C, D, E, F, G, H and I: pixel intensity;
Symbol+: on the occasion of parameter;
Symbol-: the negative value parameter;
Symbol Δ L: adjusted value;
Symbol Δ H: brightness limit height value;
Symbol Δ H ': default first threshold value;
Symbol Δ H ' ': another default first threshold value;
Symbol a, b, c, d, e, f, g, h and i: pixel intensity;
Symbol X (i-1), X (i) and X (i+1): adjacent 3 pixel intensity of image.
Embodiment:
Invention is done further with preferred embodiment figure and configuration below in conjunction with accompanying drawing
Describe in detail:
See also shown in Figure 8ly, solid line partly refers to locus and corresponding brightness thereof under two neighbor points 51 and 52 among the figure.51 corresponding positions of label can be considered one in the brighter zone of the image one on border.52 corresponding positions of label can be considered one in the darker zone of the image one on border.The present invention directly is adjusted to label 51 pairing position brightness the same position place of label 51 ', but big than the intensity of brightness of label 51 positions, makes the brightness of position under its label 51 and 51 ' brighter.In addition, the present invention directly is adjusted to the brightness of label 52 pairing positions the same position place of label 52 ' again, but little than the intensity of brightness of label 52 positions, makes the brightness of the position under its label 52 and 52 ' darker.So can allow image sharpness is when increased.
But this brightness adjusting range is excessive usually, then can produce an image edge oscillation effect (overshooting effect), and the image quality that human eye is perceived through sharp keenization descends.
Therefore, the present invention then more does following exposure at above-mentioned brightness adjusting range 53 and 54;
As shown in Figure 9, be the sharpness that a spatially masked effect of research and utilization human vision is strengthened its image.Usually can be in the difference value of two sections smooth-going interregional existence one brightness, its spatially masked effect is to study under the situation of its difference that human eye is not felt, and finds out the maximum variable value of Δ L as shown in Figure 9.Experimental verification of the present invention, Δ L approximately can be 1/10th of Δ H, this formula can be described as a spatially masked program.
When utilizing this spatially masked program can strengthen the image sharpness usually, still can keep certain image quality and can not cause the excessive reinforcement of image.Yet when the present invention found to carry out its sharp keenization of image by this spatially masked program, the noise on the smooth-going zone of its image also can be reinforced simultaneously and reduce its image quality.
In view of this, the present invention more proposes two and revises this spatially masked program.Please refer to Figure 10, when its luminance difference alienation Δ H is lower than default first a threshold value Δ H ', do not carry out the action of its sharp keenization then.Or continue with reference to Figure 11, when its luminance difference alienation Δ H is lower than another default first threshold value Δ H ", then can carry out the action of image smoothness, use the Δ L of negative value to make image more smooth-going.
On the practice of the present invention, normally operate in bidimensional image, the process of its sharp keenization is that the main pixel of sharp keenization is an example with pixel e as shown in figure 12; Δ H1, Δ H2, Δ H3, Δ H4, Δ H5, Δ H6, Δ H7 and Δ H8 are adjacent eight pixels with it of pixel E, luminance difference value as a, b, c, d, f, g, h and I among the figure, see through the above-mentioned spatially masked program of putting forward, can calculate and revise numerical value is Δ L1, Δ L2, Δ L3, Δ L4, Δ L5, Δ L6, Δ L7 and Δ L8.Afterwards can be as follows according to the brightness value that above-mentioned these eight numerical value are revised above-mentioned nine pixels:
A-＞a+ Δ L1 if a＞e or a-Δ L1 if a＜=e;
B-＞b+ Δ L2 if b＞e or b-Δ L2 if b＜=e;
C-＞c+ Δ L3 if c＞e or c-Δ L3 if c＜=e;
D-＞d+ Δ L4 if d＞e or d-Δ L4 if d＜=e;
F-＞f+ Δ L5 if f＞e or f-Δ L5 if f＜=e;
G-＞g+ Δ L6 if g＞e or g-Δ L6 if g＜=e;
H-＞h+ Δ L7 if h＞e or h-Δ L7 if h＜=e;
I-＞i+ Δ L8 if i＞e or i-Δ L8 if i＜=e;
e-＞e(+-)ΔL1(+-)ΔL2(+-)ΔL3(+-)ΔL4(+-)ΔL5(+-)ΔL6(+-)ΔL7(+-)ΔL8。
Wherein, e unlike signs is partly judged and a, b, and c, e, f, g, h, the unlike signs of I is judged just in time opposite.For example, if a＞e, then a adds that Δ L1 e deducts Δ L1, and the rest may be inferred.
In addition, the cusp noise amplifies normally an important flaw in sharp keenization of the image process.The present invention more provides a method of eliminating the cusp noise at this, comprises: judge the brightness between adjacent 3 pixels of image changes whether present dull the rising or dull decline.Common its cusp noise does not also meet such phenomenon, as shown in figure 13, can utilize the luminance difference value between X (i+1) and the X (i-1) to judge whether this zone is that genuine border still is the cusp noise.To this, the invention provides and set default second threshold value, when | X (i+1)-X (i-1) | when presetting second threshold value greater than this, can judge that then this zone is to be a genuine border, otherwise, when | X (i+1)-X (i-1) | when presetting second threshold value, can judge that then this zone can be the cusp noise less than this.
So the present invention has novelty, creativeness and practicality, should meet three property requirements of Patent Law.
The above, it only is a preferred embodiment of the present invention, be not the scope that is used for limiting the invention process, all variation and modification according to the described shape of the present patent application claim, structure, feature and principle etc. all should be included in the claim of the present invention.
Claims (14)
1. an image treatment method is applicable to the adjustment of an image sharpness, and this image treatment method comprises:
Extrapolate at least two neighbor points in the spatially masked program;
Increase and downgrade an intensity level of this two neighbor point respectively with one first adjusted value, to strengthen this image sharpness, wherein the limit of the brightness between this intensity level of this first adjusted value and this two neighbor point height value is a ratio value.
2. as the 1st described image treatment method of claim, wherein this ratio value can make this this first adjusted value be this brightness limit height value 1/10th.
3. as the 1st described image treatment method of claim, wherein this brightness limit height value can be between 0 to 255.
4. as the 1st described image treatment method of claim, wherein when this brightness limit height value during less than default first threshold value, this adjusted value of an exportable tool null value in this spatially masked program.
5. as the 1st described image treatment method of claim, wherein when this brightness limit height value during less than default first threshold value, this adjusted value of an exportable tool negative value in this spatially masked program.
6. as the 1st described image treatment method of claim, wherein more can extrapolate contiguous one of them the 3rd neighbor point of this two neighbor point in this spatially masked program, and, can carry out the adjustment of this image sharpness when a difference of absolute value one of between this intensity level of this neighbor point of one of them non-vicinity of the 3rd neighbor point and this two neighbor point during greater than default second threshold value.
7. an image treatment method is applicable to the adjustment of an image sharpness, and this image treatment method comprises:
In a two-dimensional space mask program, set a benchmark picture element;
Provide at least one contiguous picture element contiguous this benchmark picture element;
Calculate an absolute value difference of an intensity level of an intensity level of this benchmark picture element and this vicinity picture element;
Produce an adjusted value according to this absolute value difference;
According to this adjusted value to adjust this intensity level of this vicinity picture element.
8. as the 7th described image treatment method of claim, wherein comprise eight contiguous these benchmark picture elements of contiguous picture element, can calculate eight these absolute value differences and corresponding eight these adjusted values respectively, adjust this intensity level of these eight contiguous picture elements more respectively according to this correspondence adjusted value.
9. as the 8th described image treatment method of claim, wherein this intensity level of this benchmark picture element can be done an adjustment by these eight adjusted values, to reach this adjustment of this image sharpness.
10. as the 7th described image treatment method of claim, wherein this adjusted value can be similar to 1/10th of this absolute value difference.
11. as the 7th described image treatment method of claim, wherein this absolute value difference can be between 0 to 255.
12. as the 7th described image treatment method of claim, wherein when this absolute value difference during less than default first threshold value, this adjusted value of an exportable tool null value in this two-dimensional space mask program.
13. as the 7th described image treatment method of claim, wherein when this absolute value difference during less than default first threshold value, this adjusted value of an exportable tool negative value in this two-dimensional space mask program.
14., wherein when this absolute value difference is preset second threshold value greater than one, can carry out this adjustment of this image sharpness as the 7th described image treatment method of claim.
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| JP2555430B2 (en) * | 1988-11-07 | 1996-11-20 | 大日本スクリーン製造 株式会社 | Image edge enhancement method |
| DE10114813C1 (en) * | 2001-03-26 | 2002-10-31 | Micronas Munich Gmbh | Method and device for increasing signal transitions in television pictures |
| CN1190066C (en) * | 2001-11-28 | 2005-02-16 | 凌阳科技股份有限公司 | Edge enhancement method and device for digital image amplifier circuit |
| JP4126938B2 (en) * | 2002-03-22 | 2008-07-30 | セイコーエプソン株式会社 | Image processing apparatus and image output apparatus |
| US6933953B2 (en) * | 2002-04-22 | 2005-08-23 | Koninklijke Philips Electronics N.V. | Cost function to measure objective quality for sharpness enhancement functions |
| JP2004318423A (en) * | 2003-04-15 | 2004-11-11 | Konica Minolta Photo Imaging Inc | Image processing method, image processor, and image processing program |
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