CN110099207A - A kind of effective image calculation method for overcoming camera unstable - Google Patents
A kind of effective image calculation method for overcoming camera unstable Download PDFInfo
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- CN110099207A CN110099207A CN201810094094.1A CN201810094094A CN110099207A CN 110099207 A CN110099207 A CN 110099207A CN 201810094094 A CN201810094094 A CN 201810094094A CN 110099207 A CN110099207 A CN 110099207A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
Abstract
The invention discloses a kind of effective image calculation methods for overcoming camera unstable, method includes the following steps: camera continuous acquisition N images, it calculates the luminance parameter of each image in acquisition image sequence and takes median, the image sequence of acquisition is pre-processed, effective image P is calculated according to acquisition image Px, anchor point is identified in effective image P, and the focal position of camera lens is determined according to anchor point.Effective image calculation method provided by the invention is overlapped and is synthesized using multiple sampled images and is used further to position, it can overcome in the interference caused by image sampling of focussing process ambient light, exclude the influence of the invalid sampled images in camera image stabilization process, reduce the time for waiting camera image stabilization, improve the working efficiency of projection device, and can effectively prevent abnormal image causes positioning to fail, and improves drop shadow effect and user experience.
Description
Technical field
The present invention relates to stablize focusing field, especially a kind of effective image calculating side for overcoming camera unstable
Method.
Background technique
With the development of shadow casting technique, make projection device constantly universal in office and domestic environments, wherein what projection focused
Adjustment is the emphasis of projection device research and development.Ray machine focusing of the projection device in is the back-and-forth motion by camera lens in the prior art
Realize control projected picture effect, focusing effect directly determines the user experience effect of projection device.Usually when focusing
It can be positioned based on projected image, to complete to stablize focusing.But the stabilization process of camera collection image needs the several seconds,
Camera also will appear apparent fluctuation when the variation of environment light, if camera acquisition image flashing, collection process
In have probability appearance is completely black, Quan Bai, weak image, if this kind of image is directly used in positioning and will lead to positioning failure, belong to nothing
Imitate image.The solution generallyd use in the prior art is waiting camera steady operation after setting delay a period of time
Image is acquired again later for handling, but such method had both reduced the efficiency of projection device focusing task, and can not
It is fully solved ambient light interference problem present in the image sampling of equipment.
Summary of the invention
The present invention is directed to above-mentioned technical problem of the existing technology, provides a kind of for overcoming camera is unstable to have
Image calculation method is imitated, to overcome in the interference caused by image sampling of focussing process ambient light, using multiple sampled images
It is overlapped and synthesizes and be used further to position, the time for waiting camera image stabilization can be reduced, and effectively prevent abnormal image
Positioning is caused to fail.
The invention adopts the following technical scheme:
A kind of effective image calculation method for overcoming camera unstable, method includes the following steps:
Step 1, camera continuous acquisition N images, N >=1.
Step 2, calculate acquisition image sequence in each image luminance parameter Yx, x=1,2 ..., N；
By brightness parameter value Yx, x=1,2 ..., N, be ranked up according to certain sequence, take the median of the collating sequence,
The median is Ymid；
Step 3 pre-processes the image sequence of acquisition, is rejected in sequence according to the value of N and the size of brightness value Yx
The image of several brightness maximum and/or minimum, obtain pretreated M acquisition image Px, x=1,2 ..., M.
Step 4 sets last effective image as P, effective image P is calculated according to acquisition image Px.
Step 5 identifies anchor point in effective image P, and the focal position of camera lens is determined according to anchor point.
Further, calculating effective image P according to acquisition image Px in the step 4 is according to formula (1) in image
Weighted Fusion is calculated each pixel in proportion:
Wherein,The weight ratio to pixel point value in Px image is indicated, so that each pixel proportionally be weighed
New settings.
Alternatively, calculating effective image P according to acquisition image Px in the step 4 is calculated according to formula (2):
P=(P1+P2+...+PM)/M (2)
Further, described image luminance parameter Yx is calculated by formula (3):
Yx=(max (r, g, b)+min (r, g, b)/2 (3).
Alternatively, described image luminance parameter Yx is the sum of the gray value of all pixels in image.
Further, further include that verifying calculates image reliability in step 5, calculate the anchor point identification of effective image
Effect verifies the reliability of effective image.
Further, in the step 3 image sequence it is pretreated reject number by N size and/or image brightness values
Determine, if N value is bigger, i.e., initial samples quantity is more and/or the maxima and minima of luminance parameter between difference
It is larger, multiple can be rejected.
Further, in the step 2, if amount of images is even number, median Ymid takes intermediate two brightness values
Mean value.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1, effective image calculation method provided by the invention, causes image sampling in focussing process ambient light to overcome
Interference, be overlapped synthesis using multiple sampled images, exclude the invalid sampled images in camera image stabilization process
Influence；
2, effective image calculation method provided by the invention can reduce the time for waiting camera image stabilization, improve
The working efficiency of projection device.
3, effective image calculation method provided by the invention, can effectively prevent abnormal image causes positioning to fail, and improves and throws
Shadow effect and user experience.
Detailed description of the invention
Fig. 1 is the flow chart provided in an embodiment of the present invention for calculating effective image.
Fig. 2 is effective image schematic diagram of calculation result provided in an embodiment of the present invention.
Specific embodiment
It is right below with reference to attached drawing of the invention in order to make those skilled in the art more fully understand technical solution of the present invention
Technical solution of the present invention carries out clear, complete description, and based on the embodiment in the application, those of ordinary skill in the art exist
Other similar embodiments obtained under the premise of creative work are not made, shall fall within the protection scope of the present application.
If Fig. 1 is the flow chart for calculating effective image.
Step 1, camera continuous acquisition N images, the value concrete condition of N is determined by camera quality, and N >=1；
In one embodiment, the time for acquiring an image is 30ms, then the continuous acquisition figure within camera stable several seconds
As sequence, the effective image comprising clear anchor point can be obtained, the value of usual N can be 10≤N≤30.
Step 2, calculate acquisition image sequence in each image luminance parameter Yx, x=1,2 ..., N；
By brightness parameter value Yx (x=1,2 ..., N) be ranked up according to sequence from big to small or from small to large, take
Median, the median are Ymid；Further, if amount of images is even number, median Ymid takes intermediate two brightness
The mean value of value, such as when amount of images is 20, then median Ymid is the luminance mean value of the 10th and 11 images.
Step 3 pre-processes the image sequence of acquisition, is rejected in sequence according to the value of N and the size of brightness value Yx
The image of several brightness maximum and/or minimum, obtain pretreated M image Px (x=1,2 ..., M).
Pretreated rejecting number is determined by the size and/or image brightness values of N, if N value is bigger, i.e. initial samples
Quantity is more and/or the maxima and minima of luminance parameter between difference it is larger, multiple can be rejected；If number N closes
Difference between the suitable or maxima and minima of brightness is smaller, can also be with the pretreatment that it goes without doing screens, with art technology
Subject to occurrence of the personnel according to sets itselfs such as data handling requirements and computing costs.
Step 4 sets the effective image for finally handling and obtaining as P, effective image P is calculated according to acquisition image Px.
Step 5 identifies anchor point in effective image P, and the focal position of camera lens is determined according to anchor point.
Effective image P is calculated according to Px in the step 4 can be there are many calculation, it is contemplated that projection device
The response speed and anchor point recognition effect of focusing present embodiments provide each pixel in a kind of pair of image and add in proportion
The calculation method of fusion is weighed, circular is as follows:
Every image is scaled after pixel summation average
Wherein,The weight ratio to pixel point value in Px image is indicated, so that each pixel proportionally be weighed
New settings.
In another embodiment, it can be folded according to the pixel average that following formula (2) calculates all images
The effective image P added
P=(P1+P2+...+PM)/M (2)
Fixation and recognition is finally carried out using P image data and calculates lens focus state.
Described image luminance parameter Yx is calculated by following formula (3) in one embodiment
Yx=(max (r, g, b)+min (r, g, b)/2 (3).
Brightness of image parameter Yx is the sum of the gray value of all pixels in image in another embodiment.
Further, it can also include the steps that verifying calculates image reliability in step 4, for calculating effectively figure
The anchor point recognition effect of picture, verifies the reliability of effective image.
Fig. 2 is the experimental result calculated in method provided in an embodiment of the present invention, as shown, sharing 21 in figure
Image, preceding 20 images be camera continuous acquisition image sequence, calculated according to the method in embodiment, pre-process and
Fusion, obtains final superimposed image P, for shown in last block diagram in Fig. 2.As can be seen that without delay process
In the case of, the target image effective for positioning and focusing can be calculated, exclude the influence of external ambient light, obtain effect more
Good, more efficient focus effect.
Any feature disclosed in this specification (including any accessory claim, abstract), unless specifically stated,
It is replaced by other equivalent or with similar purpose alternative features.That is, unless specifically stated, each feature is a series of
An example in equivalent or similar characteristics.
The invention is not limited to specific embodiments above-mentioned.The present invention, which expands to, any in the present specification to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (8)
1. a kind of effective image calculation method for overcoming camera unstable, which comprises the following steps:
Step 1, camera continuous acquisition N images, N >=1.
Step 2, calculate acquisition image sequence in each image luminance parameter Yx, x=1,2 ..., N；
By brightness parameter value Yx, x=1,2 ..., N, be ranked up according to certain sequence, take the median of the collating sequence, in this
Between value be Ymid；
Step 3 pre-processes the image sequence of acquisition, is rejected according to the value of N and the size of brightness value Yx several in sequence
The image of Zhang Liangdu maximum and/or minimum, obtain pretreated M acquisition image Px, x=1,2 ..., M.
Step 3 sets last effective image as P, effective image P is calculated according to acquisition image Px.
Step 4 identifies anchor point in effective image P, and the focal position of camera lens is determined according to anchor point.
2. effective image calculation method as described in claim 1, which is characterized in that according to acquisition image Px in the step 4
Calculating effective image P is that each pixel in image, Weighted Fusion is calculated in proportion according to formula (1):
Wherein,The weight ratio to pixel point value in Px image is indicated, so that each pixel proportionally be set again
It is fixed.
3. effective image calculation method as described in claim 1, which is characterized in that according to acquisition image Px in the step 4
Calculating effective image P is calculated according to formula (2):
P=(P1+P2+...+PM)/M (2)。
4. effective image calculation method as described in claim 1, which is characterized in that described image luminance parameter Yx is by formula
(3) it is calculated:
Yx=(max (r, g, b)+min (r, g, b)/2 (3).
5. effective image calculation method as described in claim 1, which is characterized in that described image luminance parameter Yx is in image
The sum of gray value of all pixels.
6. effective image calculation method as described in claim 1, which is characterized in that further include verifying calculating figure in step 5
As reliability, the anchor point recognition effect of effective image is calculated, the reliability of effective image is verified.
7. effective image calculation method as described in claim 1, which is characterized in that image sequence pre-processes in the step 3
Rejecting number determine that if N value is bigger, i.e. initial samples quantity is more by the size and/or image brightness values of N, and/or
Difference between the maxima and minima of luminance parameter is larger, can reject multiple.
8. effective image calculation method as described in claim 1, which is characterized in that in the step 2, if amount of images is
Even number, then median Ymid takes the mean value of intermediate two brightness values.
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