CN100418102C - Image correction method - Google Patents
Image correction method Download PDFInfo
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- CN100418102C CN100418102C CNB031422829A CN03142282A CN100418102C CN 100418102 C CN100418102 C CN 100418102C CN B031422829 A CNB031422829 A CN B031422829A CN 03142282 A CN03142282 A CN 03142282A CN 100418102 C CN100418102 C CN 100418102C
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- image capture
- video signal
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Abstract
The present invention relates to an image correction method for an image pick up device, which comprises the following steps: an image pick up resolution is firstly selected; the image pick up action of a file needing an image pick up process is carried out, and therefore, a plurality of original image signals are obtained; the correction action of each original image signal is carried out by a numerical method according to the image pick up resolution and the width of the file needing an image pick up process, and corrected image signals are respectively formed; the corrected image signals are synthesized so as to form a correction image. The image correction method for an image pick up device can make up image fault caused by the phenomenon of color dispersion and avoid image distortion, and the image correction method for an image pick up device can also raise image quality.
Description
Technical field
The present invention relates to a kind of image correcting method, relate in particular to a kind of image capture unit that is applicable to and proofread and correct the image correcting method of institute's picked image signal with numerical method according to image capture resolution.
Background technology
Image capture unit now comprises a lens combination and an optical sensing module at least.When image capture unit carries out treating the image capture action of image capture file, at first, treat that light that the image capture file is reflected or transmission cross the light for the treatment of the image capture file and arrive on the optical sensing module through lens combination.And above-mentioned light is to be combined by the light that forms image prerequisite red (R), green (G), blue (B) three kinds of different wave lengths.Therefore, in fact include a ruddiness (R) sensing cell, a green glow (G) sensing cell and a blue light (B) sensing cell at least in this optical sensing module.
Then, described light sensing unit is ruddiness, green glow and the blue light that sensing is formed above-mentioned light, and exports the signal of video signal of different wave length according to this, as red (R), green (G) and blue (B) signal of video signal.Then, will to be synthesized be an actual image to the signal of video signal of these different wave lengths.
Please be simultaneously with reference to Figure 1A and Figure 1B, its demonstration be the two light path synoptic diagram for the treatment of between image capture file 112, lens combination 120 and the optical sensing module 122.In Figure 1A and Figure 1B, suppose to treat that the width of image capture file 112 is M inch (inch), and ruddiness (R) sensing cell, green glow (G) sensing cell and blue light (B) sensing cell in the optical sensing module 122 all have several pixels (pixels), in order to difference sensing ruddiness (R), green glow (G) and blue light (B), and produce original image signal according to this, as red (R), green (G) and blue (B) signal of video signal.Image capture unit will synthesize these original image signal, to form an actual image.(dot per inch, in the time of dpi), image capture unit will be with the default photosensitive area Z in each light sensing unit when image capture resolution is selected as N
PThe synthetic actual image of M * N the interior intrinsic brilliance value that pixel produced.When selecting image capture resolution (N) to be 600dpi, with document width (M) be 8 o'clock be example, the default photosensitive area Z in each light sensing unit in theory
PBe to have 4800 pixels can sense the image data point of a sweep trace that this width is 8 o'clock a file, 4800 (dot)/8 like this (time)=600 (dpi) just can obtain selected resolution.
Light such as ruddiness (R), green glow (G) and blue light (B) to different wave length in any optical medium of nature except that vacuum, all have different refractive indexes, and wavelength is weak point person more, and its refractive index is bigger, and vice versa.For instance, in same optical medium, because the wavelength ratio ruddiness (R) of blue light (B) is short, so the refractive index of the refractive index ratio ruddiness (R) of blue light (B) is big.Cross the light during for the treatment of image capture file 112 when treating light that image capture file 112 is reflected or transmission by lens combination 120 feedback collection, because the refractive index difference of ruddiness (R), green glow (G) and blue light (B), cause ruddiness (R), green glow (G) and the blue light (B) of scioptics group 120 just can produce different light paths, so-called chromatic dispersion (colordispersion) phenomenon in the optics takes place.And this kind dispersion phenomenon will cause the incomplete problem of image, as aberration (chromatic aberration) problem.For requiring high-resolution image quality day by day, dispersion phenomenon is very big for the scanning quality influence.
In Figure 1A, ruddiness (R) will be by the actual photosensitive area Z in ruddiness (R) sensing cell
RInterior pixel institute sensing is to produce several brightness values; Green glow (G) will be by the actual photosensitive area Z in green glow (G) sensing cell
GInterior pixel institute sensing is to produce several brightness values; Blue light (B) will be by the actual sensitization Z in blue light (B) the sensing list
BInterior pixel institute sensing is to produce several brightness values.Default photosensitive area Z
PBe to be positioned at actual photosensitive area Z
B, Z
GAnd Z
RScope in, that is to say, in fact in order to the sum of all pixels of respectively sensing ruddiness (R), green glow (G) and blue light (B) all greater than the sum of all pixels that should sense image in theory, i.e. MxN.When being 600dpi as image capture resolution (N), with document width (M) be 8 o'clock be example, the sum of all pixels of image that each light sensing unit senses should be 4800 in theory, but the actual pixels sum of sensing ruddiness (R), green glow (G) and blue light (B) is respectively 4810,4820 and 4830 in fact respectively.In the process of image capture unit resultant image, only be positioned at default photosensitive area Z
P4800 brightness values that pixel produced of each interior light sensing unit can be synthesized an actual image.But because of the light dispersion phenomenon allows the brightness value that pixel produced in other each extra light sensing unit but not be considered, causing the image after synthetic is not for treating the actual image of image capture file 112, very big to the image quality influence.
In Figure 1B, actual photosensitive area Z
B, Z
GAnd Z
RBe all to be positioned at default photosensitive area Z
PIn, that is to say, in order to the actual pixels sum of respectively sensing ruddiness (R), green glow (G) and blue light (B) all less than presetted pixel sum, i.e. MxN.When being 600dpi as image capture resolution (N), with document width (M) be 8 o'clock be example, the sum of all pixels of image that each light sensing unit senses should be 4800 in theory, but in fact is respectively 4790,4780 and 4770 in order to the sum of all pixels of distinguishing sensing ruddiness (R), green glow (G) and blue light (B).In the process of image capture unit resultant image, 4800 brightness values that pixel produced that are positioned at each light sensing unit but all are synthesized an actual image.And be positioned at actual photosensitive area Z
BOr Z
GOr Z
ROuter be positioned at default photosensitive area Z
PThe interior brightness value that pixel produced is because the non-light that this treats 112 reflections of image capture file or transmission produces.Be included into equally consider after, cause actual image to produce the phenomenon of distortion.
Situation recited above, with the sum of all pixels of each light sensing unit institute sensing all more than or all to be less than default in theory sum of all pixels be example, but the problem of in fact wanting to solve comprise the sum of all pixels of each light sensing unit institute sensing have simultaneously more than and be less than the situation of default in theory sum of all pixels.
Can solve above-mentioned light chromatic dispersion problem at the material and the improvement on the manufacturing technology of lens traditionally, yet the manufacturing of lens belongs to the high precision technology, can improve a lot on the cost relatively.
Summary of the invention
In view of this, purpose of the present invention just provides a kind of image correcting method, proofread and correct each original image signal according to image capture resolution and the width for the treatment of the image capture file with the numerical method method and be each signal of video signal after proofreading and correct, and these signal of video signal after proofreading and correct will to be synthesized be a correcting image.Thus, the present invention can compensation of dispersion (colordispersion) the image fault problem that phenomenon caused, and avoids producing the phenomenon of image distortion, and promotes the quality of image.
According to purpose of the present invention, a kind of image correcting method is proposed, solve light through producing the problem that dispersion situation causes image distortion after the lens combination.In the method, at first, select an image capture resolution.Then, treat that to one the image capture file carries out the action of image capture, and obtain several original image signal according to this.Then, according to image capture resolution and treat that the width of image capture file carries out the corrective action of each original image signal respectively with the numerical method method, and form a signal of video signal after proofreading and correct respectively.Then, the adjustment of image signal after synthetic these corrections is to form a correcting image.
According to another object of the present invention, a kind of image correcting method is proposed, need not utilize expensive lens manufacturing technology to solve light through producing the problem that dispersion situation causes image distortion after the lens combination.In the method, at first, selecting an image capture resolution is N.Then, be that the image capture file for the treatment of of M carries out the action of image capture to a width, and obtain several original image signal that each original image signal has several brightness values according to the light of different wave length.Then, these brightness values of proofreading and correct each original image signal with the numerical method method are MxN correcting luminance value respectively, and the pairing MxN of each an original image signal correcting luminance value is to form a signal of video signal after proofreading and correct.Then, the signal of video signal after synthetic these corrections is to form a correcting image.
For above-mentioned purpose of the present invention, feature and advantage can be become apparent, a preferred embodiment cited below particularly, and in conjunction with appended accompanying drawing, be described in detail as follows.
Description of drawings
What Figure 1A and Figure 1B showed is the two light path synoptic diagram for the treatment of between image capture file, lens combination and the optical sensing module.
Fig. 2 shows is process flow diagram according to the image correcting method of preferred embodiment of the present invention.
What Fig. 3 showed is that the present invention utilizes linear interpolation to handle 11 synoptic diagram that the intrinsic brilliance value is 9 correcting luminance values.
What Fig. 4 showed is that the present invention utilizes linear interpolation to handle 9 synoptic diagram that the intrinsic brilliance value is 11 correcting luminance values.
Embodiment
Please refer to Fig. 2, Fig. 2 shows is process flow diagram according to the image correcting method of preferred embodiment of the present invention.At first, in step 302, select an image capture resolution (resolution).For example, the user to select the image capture resolution of an image capture unit or the default resolution of image capture unit itself be that (dot per inch, dpi), the value of N is a positive integer to N.Then, enter in the step 204, treat that to one the image capture file carries out the action of image capture, and obtain several original image signal according to the light of different wave length.For example, be that the image capture file for the treatment of of M carries out the action of image capture to a width, and obtain several original image signal according to this that each original image signal has several brightness values.Wherein, M is a positive integer, and signal of video signal has redness (R) signal of video signal, green (G) signal of video signal and blueness (B) signal of video signal at least.
Then, enter in the step 206, according to image capture resolution and treat that the width of image capture file carries out the corrective action of each original image signal respectively with numerical method, and form a signal of video signal after proofreading and correct respectively.For example, these brightness values of proofreading and correct each original image signal with the numerical method method are MxN correcting luminance value respectively, and the pairing MxN of each an original image signal correcting luminance value is to form a signal of video signal after proofreading and correct.That is to say that ruddiness (R), green glow (G) and blue light (B) signal of video signal are to be treated to ruddiness (R), green glow (G) and blue light (B) signal of video signal after the correction via the numerical method method.Wherein, described numerical method can comprise linear interpolation, quadratic interpolation method or known video-signal processing method.
With the linear interpolation is that example explains, and suppose that the intrinsic brilliance value has 11, and these intrinsic brilliance values is H in regular turn
0～H
10, but only needing 9 correcting luminance values to carry out image, the present invention synthesizes, 9 correcting luminance values are K in regular turn
0～K
8, as shown in Figure 3.Based on the calculation process of linear interpolation method, K
0Equal H
0, and K
8Equal H
10With K
1Be example, because K
1Between H
1And H
2Between, and K
1Relatively near H
1So, K
1=H
1* (X
1)+H
2* (X
2).Wherein, X
1And X
2Summation be 1, and X
1Greater than X
2The rest may be inferred, K
2～K
7Can be calculated via linear interpolation.
The value of supposing M and N is respectively 600 and 8, and ruddiness (R), green glow (G) and blue light (B) signal of video signal have 4810,4820 and 4830 brightness value respectively.4810 brightness values in ruddiness (R) signal of video signal are to be become 4800 correcting luminance values by computing via interpolation method, and these 4800 correcting luminance values are ruddiness (R) signal of video signal after formation one is proofreaied and correct; 4820 brightness values in green glow (G) signal of video signal are to be become 4800 correcting luminance values by computing via interpolation method, and these 4800 correcting luminance values are green glow (G) signal of video signal after formation one is proofreaied and correct; 4830 brightness values in blue light (B) signal of video signal are to be become 4800 correcting luminance values by computing via interpolation method, and these 4800 correcting luminance values are blue light (B) signal of video signal after formation one is proofreaied and correct.
In addition, suppose that the intrinsic brilliance value has only 9, and these intrinsic brilliance values are expressed as S in regular turn
0～S
8, but needing 11 correcting luminance values to carry out image, the present invention synthesizes, 11 correcting luminance values are T in regular turn
0～T
11, as shown in Figure 4.Based on the calculation process of linear interpolation method, T
0Equal S
0, and T
11Equal S
8With T
1Be example, because T
1Between S
0And S
1Between, and T
1Relatively near S
1So, T
1=S
0* (U
1)+S
1* (U
2).Wherein, U
1And U
2Summation be 1, and U
1Less than U
2The rest may be inferred, T
2～T
9Can be calculated via linear interpolation.
The value of supposing M and N is respectively 600 and 8, and ruddiness (R), green glow (G) and blue light (B) signal of video signal have 4790,4780 and 4770 intrinsic brilliance value respectively.4790 brightness values in ruddiness (R) signal of video signal are to be become 4800 correcting luminance values by computing via interpolation method, and these 4800 correcting luminance values are ruddiness (R) signal of video signal after formation one is proofreaied and correct; 4780 brightness values in green glow (G) signal of video signal are to be become 4800 correcting luminance values by computing via interpolation method, and these 4800 correcting luminance values are green glow (G) signal of video signal after formation one is proofreaied and correct; 4790 brightness values in blue light (B) signal of video signal are to be become 4800 correcting luminance values by computing via interpolation method, and these 4800 correcting luminance values are blue light (B) signal of video signal after formation one is proofreaied and correct.
After the simple declaration via Fig. 3 and Fig. 4, intrinsic brilliance value in each original image signal is to form that (the individual correcting luminance value of M * N), each original image signal is pairing, and (the individual correcting luminance value of M * N) forms a signal of video signal after proofreading and correct again by the correction of numerical method.Then, enter in the step 208, the adjustment of image signal after synthetic these corrections is as ruddiness (R), green glow (G) and blue light (B) signal of video signal after proofreading and correct, to form a correcting image.
In above-mentioned aligning step, all correcting luminance values only can not limit and form with a kind of numerical method, as adjacent two brightness values very near the time, adopt linear interpolation, and when expecting that once between the brightest and the darkest brightness value correcting luminance value may be used on known calculating signal of video signal boundary value or claims the mode of ultimate value to select its brightest brightness value or the darkest brightness value, to avoid causing image boundary to blur.But these adjacent two brightness values drop on bright Yu the darkest part situation of image just separately, just are not easy more to take place under the high more situation of resolution, and following in the high more situation of resolution just can use bearing calibration of the present invention more easily thus.
Be familiar with this operator and can understand that also the applied image capture unit of technology of the present invention can be scanner, facsimile recorder, duplicating machine or multifunctional paper feeding machine etc.
The image correcting method that the above embodiment of the present invention is announced, be each signal of video signal after proofreading and correct by proofreading and correct each original image signal with numerical method according to image capture resolution and the width for the treatment of the image capture file, and these signal of video signal after proofreading and correct will to be synthesized be a correcting image.Thus, the image fault problem that the present invention can the compensation of dispersion phenomenon be caused under the situation of the unlikely a large amount of raisings of cost avoids producing the phenomenon of image distortion, and promotes the quality of image.
In sum; though the present invention by a preferred embodiment introduction as above; but it is not in order to limit the present invention; anyly be familiar with this operator; without departing from the spirit and scope of the present invention; can do various changes and modification, so protection scope of the present invention should be according to being as the criterion that the accompanying Claim book is defined.
Label declaration
112: treat the image capture file
120: set of lenses
122: optical sensing module
Claims (12)
1. an image correcting method that is applicable to image capture unit is characterized in that, comprising:
Select an image capture resolution;
Treat that to one the image capture file carries out the action of image capture, and obtain a plurality of original image signal according to this;
Carry out the respectively corrective action of this original image signal with numerical method respectively according to this image capture resolution and this width for the treatment of the image capture file, and form the signal of video signal after the correction respectively; And
Signal of video signal after synthetic those corrections is to form a correcting image.
2. the method for claim 1 is characterized in that, wherein said numerical method contains linear interpolation.
3. the method for claim 1 is characterized in that, wherein said numerical method contains quadratic interpolation method.
4. the method for claim 1 is characterized in that, wherein said original image signal is that the light according to different wave length obtains.
5. method as claimed in claim 4 is characterized in that, wherein said original image signal has more a ruddiness " R " signal of video signal, a green glow " G " signal of video signal and a blue light " B " signal of video signal.
6. the method for claim 1 is characterized in that, wherein said image capture resolution is the default resolution of this image capture unit.
7. the method for claim 1 is characterized in that, the signal of video signal after wherein said synthetic these corrections, more to comprise before the step that forms a correcting image:
Selecting one of this image capture unit image capture resolution is N;
Is that this of M treats that the image capture file carries out the action of image capture with this image capture unit to width, and obtains a plurality of original image signal according to the light of different wave length, and respectively this original image signal has a plurality of brightness values; And
Proofread and correct respectively with numerical method that the described brightness value of this original image signal is a MxN correcting luminance value respectively, respectively the signal of video signal after pairing this MxN of this original image signal correcting luminance value system formation one correction.
8. an image correcting method that is applicable to image capture unit is characterized in that, comprising:
Selecting an image capture resolution is N;
To a width is that the image capture file for the treatment of of M carries out the action of image capture, and obtains a plurality of original image signal according to the light of different wave length, and respectively this original signal has a plurality of brightness values;
Proofread and correct respectively with numerical method that the described brightness value of this original image signal is a MxN correcting luminance value respectively, respectively the signal of video signal after pairing this MxN of this original image signal correcting luminance value system formation one correction; And
Signal of video signal after synthetic those corrections is to form a correcting image.
9. method as claimed in claim 8 is characterized in that wherein this numerical method contains linear interpolation.
10. method as claimed in claim 8 is characterized in that wherein this numerical method contains quadratic interpolation method.
11. method as claimed in claim 8 is characterized in that, wherein said original image signal is to have a ruddiness " R " signal of video signal, a green glow " G " signal of video signal and a blue light " B " signal of video signal.
12. method as claimed in claim 8 is characterized in that, wherein this image capture resolution is the default resolution of this image capture unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB031422829A CN100418102C (en) | 2003-08-15 | 2003-08-15 | Image correction method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB031422829A CN100418102C (en) | 2003-08-15 | 2003-08-15 | Image correction method |
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|---|---|
| CN1581211A CN1581211A (en) | 2005-02-16 |
| CN100418102C true CN100418102C (en) | 2008-09-10 |
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| CNB031422829A Expired - Lifetime CN100418102C (en) | 2003-08-15 | 2003-08-15 | Image correction method |
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Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102857699A (en) * | 2011-06-29 | 2013-01-02 | 全友电脑股份有限公司 | Image capturing system and method |
| CN104601922B (en) * | 2013-11-01 | 2018-04-17 | 佳能企业股份有限公司 | The store media that image treatment method, electronic device, electronic device can be read and the program applied to electronic device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5838371A (en) * | 1993-03-05 | 1998-11-17 | Canon Kabushiki Kaisha | Image pickup apparatus with interpolation and edge enhancement of pickup signal varying with zoom magnification |
| JP2001274987A (en) * | 2000-03-28 | 2001-10-05 | Matsushita Electric Ind Co Ltd | Image processor |
| JP2002094999A (en) * | 2000-09-18 | 2002-03-29 | Mitsubishi Electric Corp | Image pickup device |
-
2003
- 2003-08-15 CN CNB031422829A patent/CN100418102C/en not_active Expired - Lifetime
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5838371A (en) * | 1993-03-05 | 1998-11-17 | Canon Kabushiki Kaisha | Image pickup apparatus with interpolation and edge enhancement of pickup signal varying with zoom magnification |
| JP2001274987A (en) * | 2000-03-28 | 2001-10-05 | Matsushita Electric Ind Co Ltd | Image processor |
| JP2002094999A (en) * | 2000-09-18 | 2002-03-29 | Mitsubishi Electric Corp | Image pickup device |
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| CN1581211A (en) | 2005-02-16 |
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