CN101478686A - Image correction table establishing method and image processing method - Google Patents
Image correction table establishing method and image processing method Download PDFInfo
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- CN101478686A CN101478686A CNA2008100019515A CN200810001951A CN101478686A CN 101478686 A CN101478686 A CN 101478686A CN A2008100019515 A CNA2008100019515 A CN A2008100019515A CN 200810001951 A CN200810001951 A CN 200810001951A CN 101478686 A CN101478686 A CN 101478686A
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Abstract
An image correction table establishing method comprises the following steps: respectively modifying the shot images of shot red, green and blue bar pattern for establishing the deformation correction tables of red, green and blue images; shooting the image of black bar pattern, executing deformation modification to the image of black bar pattern with the deformation correction tables of red, green and blue images, checking the accuracies of deformation correction table of red image, deformation correction table of green image and deformation correction table of blue image, and establishing a deformation correction table of three-color according to deformation correction table of red image, deformation correction table of green image and deformation correction table of blue image. According to the other image correction table establishing method, a transverse chromatic aberration correction table is established with the transverse chromatic aberration correction value of each black point of transverse chromatic aberration test chart.
Description
Technical field
The present invention relates to optical imaging field, and be particularly related to the image processing field of digital image capture device.
Background technology
The digital image capture device of digital camera, digital camera or television camera etc. comprises set of lenses and image sensing module usually at least.When the digital image capture device carries out the image taking action, by its set of lenses target object is carried out optical imagery, optical imagery and the generation by its image sensing module sensing set of lenses characterizes the signal of telecommunication of target object image accordingly to store and/or to export again.Yet, because the intrinsic optical defect of set of lenses makes the digital image capture device can produce distortion (Distortion), lateral chromatic aberration optical defects such as (Lateral ChromaticAberration) inevitably when carrying out image taking.For reduce optical defects such as anamorphose and/or lateral chromatic aberration to the influence of picture quality to promote picture quality, common way is utilization proper optical design skill and adopts special lens material to realize.Yet the employing of optical design skill and special lens material can increase the manufacturing cost of digital image capture device inevitably, thereby causes its market competitiveness to reduce.
Summary of the invention
The invention provides a kind of image correction table establishing method, the image correction table of its foundation can be revised the distortion of image, and then can realize obtaining at lower cost the purpose of better picture quality.
The present invention provides a kind of image processing method in addition, and it can be revised the distortion of captured image, and then can realize obtaining at lower cost the purpose of better picture quality.
The present invention also provides another kind of image correction table establishing method, and the image correction table of its foundation can be revised the lateral chromatic aberration of image, and then can realize obtaining at lower cost the purpose of better picture quality.
The present invention provides another kind of image processing method again, and it can be revised the lateral chromatic aberration of captured image, and then can realize obtaining at lower cost the purpose of better picture quality.
Other purposes of the present invention and advantage can be further understood from technical characterictic disclosed in this invention.
In order to realize one of above-mentioned or partly or all purposes or other purposes, one embodiment of the present of invention propose a kind of image correction table establishing method, are used to set up an image three-colo(u)r distortion correction chart, and it comprises the following steps:
(a) take one respectively and have the image of red bar pattern, an image that has green bar pattern and an image that has blue bar pattern;
(b) image that has red bar pattern taken, the image that has the image of green bar pattern and have a blue bar pattern are out of shape correction respectively, to set up red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart respectively;
(c) take an image that has the black lines resolution chart, by means of red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart, the captured image that has the black lines resolution chart is out of shape correction, with the accuracy of checking red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart.
According to another embodiment of the present invention, also comprise according to red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart and set up image three-colo(u)r distortion correction chart.
Another embodiment of the present invention proposes a kind of image processing method, is applied on the digital image capture device to carry out the anamorphose correction, and it comprises the following steps:
(a) utilize digital image capture device photographic images; And
(b) according to the image three-colo(u)r distortion correction chart that is stored in the digital image capture device captured image carries out image distortion is revised, to produce revised image; Wherein, image three-colo(u)r distortion correction chart comprises a red image distortion correction chart, a green image distortion correction chart and a blue image distortion correction chart.
Yet another embodiment of the invention proposes another kind of image correction table establishing method, is used to set up the lateral chromatic aberration correction chart, and it comprises the following steps:
(a), take the image that has these black color dots according to the lateral chromatic aberration resolution chart that comprises a plurality of black color dots; And
(b) image of taking that has black color dots is carried out the lateral chromatic aberration correction, with a plurality of lateral chromatic aberration correction values of obtaining the image that has black color dots and set up the lateral chromatic aberration correction chart.
Further embodiment of this invention proposes another kind of image processing method, is applied on the digital image capture device to carry out the lateral chromatic aberration correction, and it comprises the following steps:
(a) utilize digital image capture device photographic images; And
(b) according to the lateral chromatic aberration correction chart that is stored in the digital image capture device captured image is carried out the lateral chromatic aberration correction, to produce revised image; Wherein, the lateral chromatic aberration correction chart comprises a plurality of lateral chromatic aberration correction values corresponding to the image of a plurality of black color dots.
Because according to image three-colo(u)r distortion correction chart and the lateral chromatic aberration correction chart set up, captured image is carried out corresponding anamorphose and lateral chromatic aberration correction to reduce the influence to picture quality of distortion and/or lateral chromatic aberration, therefore, can be embodied as the purpose of obtaining better picture quality at lower cost.
For above-mentioned and other purposes, feature and advantage of the present invention can be become apparent, preferred embodiment cited below particularly, and be described in detail in conjunction with the accompanying drawings.
Description of drawings
Fig. 1 is the schematic diagram of the bar pattern of first embodiment of the invention;
Fig. 2 is the deformation pattern schematic diagram that bar pattern shown in Figure 1 is taken via the digital image capture device;
Fig. 3 is the deformation pattern schematic diagram that bar pattern shown in Figure 1 is taken via another digital image capture device;
Fig. 4 is the flow chart of the image correction table establishing method of first embodiment of the invention;
Fig. 5 is the schematic diagram of the lateral chromatic aberration resolution chart of second embodiment of the invention; And
Fig. 6 is the flow chart of the image correction table establishing method of second embodiment of the invention.
[main element symbol description]
110～130: the step of the image correction table establishing method of one embodiment of the invention
310～329: the step of the image correction table establishing method of another embodiment of the present invention
Embodiment
About aforementioned and other technology contents, characteristics and effect of the present invention, in DETAILED DESCRIPTION OF THE PREFERRED, can clearly present below in conjunction with accompanying drawing.
Referring to Fig. 1 to Fig. 4, first embodiment of the invention provides a kind of image correction table establishing method, is used to set up an image three-colo(u)r distortion correction chart, and it may further comprise the steps:
Step 110: take respectively one have red bar pattern image, one have green bar pattern image and a blue bar pattern image.In the present embodiment, red bar pattern, green bar pattern and blue bar pattern are for example for as shown in Figure 1.Wherein, red bar pattern, green bar pattern and blue bar pattern comprise many horizontal lines that are parallel to each other and many and its vertical line that intersects respectively.Difference is: the horizontal line and the vertical line of red bar pattern are redness, and the horizontal line and the vertical line of green bar pattern are green, and the horizontal line of blue bar pattern and vertical line then are blueness.Have red bar pattern image, have green bar pattern image and the image that has a blue bar pattern can carry out optical imagery again by its image sensing module via the set of lenses of digital image capture device, for example CCD or CMOS sensor have been taken it to it since the sensing.Because the intrinsic optical defect of digital image capture device, so so the captured image that has red bar pattern, the image that has the image of green bar pattern and have a blue bar pattern all have the distortion optical defect.The deformation pattern of red bar pattern, green bar pattern and blue bar pattern be generally as shown in Figure 2 the evagination form or indent form as shown in Figure 3, be specially which kind of form among both then by the configuration decision of digital image capture device.
Step 120: the image that has red bar pattern taken, the image that has the image of green bar pattern and have a blue bar pattern are out of shape correction respectively, to set up corresponding red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart.Because it is identical the image that has red bar pattern taken, the image that has the image of green bar pattern and have a blue bar pattern to be out of shape the step of correction, therefore only is modified to example and is illustrated below so that the captured image that has red bar pattern is out of shape.Specifically, it is as follows that present embodiment carries out the correction of anamorphose: the difference of input earlier and actual red horizontal each location of pixels, so that horizontal each image of redness is revised one by one; The difference of each location of pixels of input and actual red vertical line is revised one by one with each image to red vertical line again; Till the approaching actual red bar pattern as shown in Figure 1 of the image of revised red bar pattern, the difference of each location of pixels of input and actual red horizontal line or vertical line, each pixel of the image of captured red bar pattern can be moved to correct position, therefore, the correction value of each red horizontal line and vertical line is then set up red image distortion correction chart.Further for obtaining meticulousr image, can also in above steps, adopt the mode of inserting pixel or deletion pixel to assist, utilize to insert the pixel that the mode of pixel (or deletion pixel) will must supply owing to the image adjustment exactly and fill (or with additional pixel deletion), thus so that the image correction of bar pattern can more approaching actual bar pattern as shown in Figure 1, with the correction value accuracy of further raising red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart.
Step 130: take the image that has the black lines resolution chart, by means of red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart the captured image that has the black lines resolution chart is out of shape correction, with the correction value accuracy of checking red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart.In the present embodiment, the black lines resolution chart that is adopted is identical with red bar pattern, green bar pattern and blue bar pattern, that is as shown in Figure 1.Utilize red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart, revise the image that has the black lines resolution chart, and revised have the image of black lines resolution chart and as shown in Figure 1 bar pattern near or when overlapping, red image can be out of shape correction chart, green image distortion correction chart and blue image distortion correction chart and be judged as correctly.
In one embodiment, can also comprise step 140: utilize red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart to set up image three-colo(u)r distortion correction chart.In the present embodiment, image three-colo(u)r distortion correction chart can only be merely to comprise red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart, that is, not again under the situation of these anamorphose correction charts of layout, red image is out of shape correction chart, green image distortion correction chart and blue image distortion correction chart merges, set up image three-colo(u)r distortion correction chart.In another embodiment, for conveniently carrying out computing, again these anamorphose correction charts of layout, set up image three-colo(u)r distortion correction chart, for example, make a pixel in the image three-colo(u)r distortion correction chart have the data that red image distortion correction chart, green image distortion correction chart and blue image are out of shape pixel corresponding in the correction chart simultaneously.In other embodiments, can also utilize the mathematical operation mode, to data compress, change etc., set up image three-colo(u)r distortion correction chart.
It will be appreciated by persons skilled in the art that the lines in the bar pattern in the first embodiment of the invention are not limited to horizontal line and vertical line, it also can be curve with preset curvature or the parallax with certain slope.In addition, the distortion makeover process at the image of bar pattern also can be out of shape correction to vertical line earlier and again horizontal line is out of shape correction.
The image processing method that the aforementioned image three-colo(u)r distortion of a kind of foundation correction chart carries out the anamorphose correction will be described below, it is applied on the digital image capture device of digital camera, digital camera or television camera etc., and can carry out the anamorphose correction where necessary.This image processing method comprises the following steps: to utilize digital image capture device photographic images; According to the image three-colo(u)r distortion correction chart that is stored in the digital image capture device, captured image carries out image distortion is revised to produce revised image.Wherein, image three-colo(u)r distortion correction chart comprises a red image distortion correction chart, a green image distortion correction chart and a blue image distortion correction chart.
Referring to Fig. 5 to Fig. 6, it is a kind of image correction table establishing method that the second embodiment of the present invention provided, and can set up a lateral chromatic aberration correction chart thus.Present embodiment may further comprise the steps:
Step 310: from the lateral chromatic aberration resolution chart that comprises a plurality of black color dots, take the image that has these black color dots.In the present embodiment, the lateral chromatic aberration resolution chart that is adopted as shown in Figure 5, it comprises a plurality of black color dots of arranging with matrix-style.
Step 320: the image of taking that has black color dots is carried out the lateral chromatic aberration correction one by one to set up the lateral chromatic aberration correction chart.The image that has black color dots can carry out optical imagery again by its image sensing module via the set of lenses of digital image capture device, and for example CCD or CMOS sensor come sensing to take.Because there is intrinsic optical defect in the digital image capture device, therefore the captured image that has black color dots has the lateral chromatic aberration optical defect.In the present embodiment, carry out the process of lateral chromatic aberration correction at image one by one and used following steps each black color dots:
Step 321: the number of pixels that uses when the picture position, color of image of decision black color dots and ranking operation; Wherein, the position of black color dots can be its coordinate values in rectangular coordinate system as shown in Figure 5, and the number of pixels that uses during ranking operation is then determined by desire correction image precision.
Step 323: the color of pixel weight of using when changing number of pixels that the image of those black color dots uses and/or image ranking operation when the image ranking operation (Weight) has the color of the image of those black color dots with correction.For example, when the edge of image of black color dots is that coloured zone is for red, then can change the number of pixels in coloured zone, more peanut is more to make the elemental area in coloured zone, and suitably add green pixel make coloured zone become black with blue pixel in newly-increased pixel, or the color weight that changes red in the pixel in coloured zone, green and blue pixel makes it become black.
Step 325: whether the lateral chromatic aberration of judging the image that has black color dots is revised, for example whether the image of black color dots is near its actual color (that is black), and when the lateral chromatic aberration correction of the image that has black color dots is finished, obtain corresponding lateral chromatic aberration correction value; If revise, then execution in step 327, otherwise return step 323.
Step 327: judging whether the image have black color dots is all revised finishes; Finish if all revise, then execution in step 329, otherwise return step 321.
Step 329:, set up corresponding lateral chromatic aberration correction chart according to lateral chromatic aberration correction value from the image that has black color dots of abovementioned steps gained.Wherein, those lateral chromatic aberration correction values correspond respectively to the aforementioned image that has black color dots.
A kind of image processing method that carries out the correction of image lateral chromatic aberration according to aforementioned lateral aberration correction chart will be described below, it can be applicable on the digital image capture device of digital camera, digital camera or television camera etc., and can carry out the correction of image lateral chromatic aberration where necessary.This image processing method comprises the following steps: to utilize digital image capture device photographic images; According to being stored in lateral chromatic aberration correction chart in the digital image capture device, to captured image carries out image lateral chromatic aberration correction to produce revised image.Wherein, the lateral chromatic aberration correction chart comprises the lateral chromatic aberration correction value corresponding to the image that has black color dots.
Each black color dots that it will be appreciated by persons skilled in the art that the lateral chromatic aberration resolution chart in the second embodiment of the invention is not limited to arrange with matrix-style, and they can also other modes, arrange as the circular array mode.
Though disclose the present invention with preferred embodiment; but it is not to be used to limit the present invention; those skilled in the art can carry out any modification and polishing under the situation that does not break away from the spirit and scope of the present invention, so protection scope of the present invention should be as the criterion with subsidiary claim.In addition, any one embodiment of the present invention or claim do not need to realize whole purpose disclosed in this invention or advantage or characteristics.In addition, summary part and title only are to be used for the help file retrieval, are not to be used to limit interest field of the present invention.
Claims (15)
1, a kind of image correction table establishing method, it comprises the following steps:
Take the image have red bar pattern respectively, have the image of green bar pattern and have the image of blue bar pattern;
The image that has described red bar pattern taken, the image that has the image of described green bar pattern and have a described blue bar pattern are out of shape correction respectively, to set up red image distortion correction chart, green image distortion correction chart and blue image distortion correction chart respectively; And
Shooting has the image of black lines resolution chart, by means of described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart, the captured image that has described black lines resolution chart is out of shape correction, to verify the accuracy of described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart.
2, image correction table establishing method as claimed in claim 1 also comprises the following step:
According to described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart, set up image three-colo(u)r distortion correction chart.
3, image correction table establishing method as claimed in claim 1, wherein, the image that has described red bar pattern taken, the image that has the image of described green bar pattern and have a described blue bar pattern are out of shape the step of correction respectively, comprise to use and insert pixel or the deletion pixel assist the distortion correction.
4, image correction table establishing method as claimed in claim 1, wherein, described red bar pattern, described green bar pattern, blue bar pattern and the described black lines resolution chart lines that include that many lines that are parallel to each other and extend along first direction and many are parallel to each other and extend along the second direction vertical with described first direction.
5, a kind of image processing method is applied on the digital image capture device, can carry out image correction, and it comprises the following steps:
Utilize described digital image capture device photographic images; And
According to the image three-colo(u)r distortion correction chart that is stored in the described digital image capture device captured image is carried out the anamorphose correction, to produce revised image.
6, image processing method as claimed in claim 5, wherein, described image three-colo(u)r distortion correction chart is set up by means of the following step:
Take the image have red bar pattern respectively, have the image of green bar pattern and have the image of blue bar pattern;
The image that has described red bar pattern taken, the image that has the image of described green bar pattern and have a described blue bar pattern are out of shape correction respectively, to set up described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart;
Shooting has the image of black lines resolution chart, by means of described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart, the captured image that has described black lines resolution chart is out of shape correction, to verify the accuracy of described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart; And
According to described red image distortion correction chart, described green image distortion correction chart and described blue image distortion correction chart, set up image three-colo(u)r distortion correction chart.
7, image processing method as claimed in claim 6, wherein, to the image that has described red bar pattern taken, have the image of described green bar pattern and have the step that the image of described blue bar pattern is out of shape respectively, comprise to use and insert pixel or the deletion pixel assist the distortion correction.
8, image processing method as claimed in claim 6, wherein, described red bar pattern, described green bar pattern, blue bar pattern and the described black lines resolution chart lines that include that many lines that are parallel to each other and extend along first direction and many are parallel to each other and extend along the second direction vertical with described first direction.
9, a kind of image correction table establishing method, it comprises the following steps:
According to the lateral chromatic aberration resolution chart that comprises a plurality of black color dots, take the image that has described a plurality of black color dots; And
The image of taking that has described a plurality of black color dots is carried out the lateral chromatic aberration correction, obtaining the described a plurality of lateral chromatic aberration correction values that have the image of described a plurality of black color dots, and set up the lateral chromatic aberration correction chart.
10, image correction table establishing method as claimed in claim 9, wherein, the step of the image of taking that has described a plurality of black color dots being carried out the lateral chromatic aberration correction comprises the following steps:
The number of pixels that uses when determining the described position that has an image of described a plurality of black color dots, color and image ranking operation;
The color of pixel weight of using when number of pixels that uses when changing the image ranking operation of the described image that has described a plurality of black color dots and image ranking operation in the two at least one, to revise the described color that has the image of described a plurality of black color dots;
Judge whether the described lateral chromatic aberration that has the image of described a plurality of black color dots is revised, and when the described lateral chromatic aberration correction that has the image of described a plurality of black color dots is finished, obtain corresponding described a plurality of lateral chromatic aberration correction values;
Judging whether the described image that has described a plurality of black color dots is all revised finishes; And
According to the described corresponding a plurality of lateral chromatic aberration correction values of image that have described a plurality of black color dots, set up described lateral chromatic aberration correction chart.
11, image correction table establishing method as claimed in claim 9, wherein, described a plurality of black color dots are arranged with matrix-style.
12, a kind of image processing method is applied on the digital image capture device, can carry out image correction, and it comprises the following steps:
Utilize described digital image capture device photographic images; And
According to the lateral chromatic aberration correction chart that is stored in the described digital image capture device captured image is carried out the lateral chromatic aberration correction, to produce revised image, described lateral chromatic aberration correction chart comprises a plurality of lateral chromatic aberration correction values, and described a plurality of lateral chromatic aberration correction values correspond respectively to the image that has a plurality of black color dots.
13, image processing method as claimed in claim 12, wherein, described lateral chromatic aberration correction chart is set up through the following steps:
According to the lateral chromatic aberration resolution chart that comprises described a plurality of black color dots, take the described image that has described a plurality of black color dots; And
The image of taking that has described a plurality of black color dots is carried out the lateral chromatic aberration correction, obtaining and the described corresponding a plurality of lateral chromatic aberration correction values of image that have described a plurality of black color dots, and set up described lateral chromatic aberration correction chart according to described a plurality of lateral chromatic aberration correction values.
14, image processing method as claimed in claim 13, wherein, the step of the image of taking that has described a plurality of black color dots being carried out the lateral chromatic aberration correction comprises the following steps:
The number of pixels that uses when determining the described position that has an image of described a plurality of black color dots, color and image ranking operation;
The color of pixel weight of using when number of pixels that uses when changing the image ranking operation of the described image that has described a plurality of black color dots and image ranking operation in the two at least one, to revise the described color that has the image of described a plurality of black color dots;
Judge whether the described lateral chromatic aberration that has the image of described a plurality of black color dots is revised, and when the described lateral chromatic aberration correction that has the image of described a plurality of black color dots is finished, obtain corresponding described a plurality of lateral chromatic aberration correction values;
Judging whether the described image that has described a plurality of black color dots is all revised finishes; And
According to the described corresponding a plurality of lateral chromatic aberration correction values of image that have described a plurality of black color dots, set up described lateral chromatic aberration correction chart.
15, image processing method as claimed in claim 13, wherein, described a plurality of black color dots are arranged with matrix-style.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106506898A (en) * | 2015-09-08 | 2017-03-15 | 全友电脑股份有限公司 | Image-scanning system and its method |
| CN110443751A (en) * | 2019-07-10 | 2019-11-12 | 广东智媒云图科技股份有限公司 | Image distortion method, device, equipment and storage medium based on painting line |
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2008
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106506898A (en) * | 2015-09-08 | 2017-03-15 | 全友电脑股份有限公司 | Image-scanning system and its method |
| CN106506898B (en) * | 2015-09-08 | 2019-07-30 | 全友电脑科技(吴江)有限公司 | Image-scanning system and its method |
| CN110443751A (en) * | 2019-07-10 | 2019-11-12 | 广东智媒云图科技股份有限公司 | Image distortion method, device, equipment and storage medium based on painting line |
| CN110443751B (en) * | 2019-07-10 | 2022-09-23 | 广东智媒云图科技股份有限公司 | Image deformation method, device and equipment based on drawing lines and storage medium |
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Application publication date: 20090708 |