WO2017054689A1 - 摄像模组光学防抖系统的校正设备及其校正方法 - Google Patents

摄像模组光学防抖系统的校正设备及其校正方法 Download PDF

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Publication number
WO2017054689A1
WO2017054689A1 PCT/CN2016/100100 CN2016100100W WO2017054689A1 WO 2017054689 A1 WO2017054689 A1 WO 2017054689A1 CN 2016100100 W CN2016100100 W CN 2016100100W WO 2017054689 A1 WO2017054689 A1 WO 2017054689A1
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view
field
optical image
image stabilization
correction
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PCT/CN2016/100100
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English (en)
French (fr)
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王斌
丁亮
王明珠
郭楠
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宁波舜宇光电信息有限公司
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Publication of WO2017054689A1 publication Critical patent/WO2017054689A1/zh

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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
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B5/00—Adjustment of optical system relative to image or object surface other than for focusing

Definitions

  • the invention relates to the field of an optical anti-shake camera module, and further relates to a calibration device for an optical anti-shake system of a camera module and a calibration method thereof, which corrects an optical anti-shake system of the camera module based on an image effect.
  • OIS Optical Image Stabilizer
  • OIS optical Image Stabilizer
  • the optical image stabilization technology is divided into two categories, one is to achieve optical image stabilization through the movement of the lens, and the other is to achieve optical image stabilization by the movement of the CCD photosensitive element.
  • Optical image stabilization technology is a small movement of the gyroscope in the lens to detect the lens.
  • the gyroscope transmits the signal to the microprocessor, and the microprocessor immediately calculates the amount of displacement to be compensated, and then compensates the lens.
  • the group or CCD sensor is compensated according to the direction of the lens's jitter and the amount of displacement, thereby effectively overcoming image blur caused by camera shake.
  • the camera module with optical image stabilization on the market currently senses the jitter of the hand or the lens shake caused by the external environment through the gyroscope during the correction process, and the tilt angle of the camera camera caused by the shake It is calculated that the optical image stabilization system further predicts the image shift caused by the tilt according to the angle, and then the optical image stabilization system controls the lens to shift relative to the image sensor to produce the same size but opposite direction image offset due to the jitter. Image offset cancellation ensures that the camera remains image stable in a dithering environment.
  • the correction method of the existing optical image stabilization system mainly detects the tilt of the lens through the gyroscope, defines the offset with reference to the main optical axis of the lens, and compensates the tilt amount of the lens by moving the IS lens or the CCD photosensitive element. It does not involve the actual effect of the image effect due to the jitter, and the image quality obtained after the compensation is corrected.
  • the tilt angle of the lens is detected by the gyroscope.
  • Compensating the image offset that is, judging the influence on the image quality from the perspective of the physical position, without considering the actual influence of the change of the physical position on the image, and for the purpose of the correction, the ultimate goal to be achieved It is an improvement in image quality, not a correction of the lens shift angle.
  • the existing camera module with optical image stabilization function when optical anti-shake is turned on, usually, when the anti-shake system optimally compensates the jitter of the image center, the image at the edge of the image is usually lost. quality. That is to say, by observing the change of the physical position by the gyroscope, the quality of the actual image obtained by direct compensation is not a good image, and the problem is that the resolution of the central field of view and the edge field of view differ greatly, thereby making the overall image
  • the picture quality is not uniform at different positions. For example, the image quality contrast between the central area and the edge area of the image becomes large, extremely soft, and the user's perception is affected.
  • the image center area is usually selected as the evaluation object, so the compensation is mainly the compensation for the offset of the image center area.
  • An object of the present invention is to provide a calibration apparatus and a correction method for an optical stabilization system of a camera module, which pay attention to the actual image quality during correction, so that the correction is closer to the effect actually required to be compensated.
  • Another object of the present invention is to provide a calibration device and a correction method for an optical anti-shake system of a camera module, which establish an image quality judgment standard, and obtain a correction parameter according to the judgment standard, so that the correction mode is based on the image effect.
  • Another object of the present invention is to provide a calibration device and a correction method for an optical anti-shake system of a camera module, which balance the overall optical image effect of the image quality, and correct the optical image stabilization system of the camera module to make the image quality Has a good uniformity.
  • Another object of the present invention is to provide a calibration device and a correction method for an optical anti-shake system of a camera module, which can improve the resolution of the edge and reduce the edge confusing phenomenon, thereby balancing the overall image image, while ensuring that the central resolution power is required. quality.
  • Another object of the present invention is to provide a calibration device and a calibration method for an optical anti-shake system of a camera module, which use the SFR test to evaluate the optical anti-shake performance, more accurately evaluate the optical anti-shake performance, and more appropriately filter the camera module.
  • Another object of the present invention is to provide a calibration apparatus and a correction method for an optical anti-shake system of a camera module. After the calibration parameters of the anti-shake are obtained by balancing the central field of view and the edge field of view, DB test evaluation can also be adopted. Optical anti-shake performance.
  • Another object of the present invention is to provide a calibration device and a correction method for an optical anti-shake system of a camera module, which balances the overall image effect of the image during correction, so that the image acquired after the correction has better uniformity and enhances the user. Watch the feelings.
  • an aspect of the present invention provides a method for correcting an optical image stabilization system of a camera module, which has the following steps:
  • the step (B) comprises the steps of:
  • (B1) adjusting parameters of the optical image stabilization system of the camera module by balancing the resolution of the central field of view and the edge field of view to obtain images of different image quality
  • the step (B2) includes the steps of: the camera module captures a CTF standard to obtain MTF values of different fields of view, and determines whether the image quality is satisfied based on the MTF values of the different fields of view. Preset conditions.
  • the resolution of the central field of view and the edge field of view is balanced by evaluating the MTF values of one or more fields of view in the 0.35-0.5 field of view.
  • the resolution of the central field of view and the edge field of view is balanced by evaluating the MTF values of the 0.35, 0.38, 0.4, 0.42, 0.45 or 0.48 field of view.
  • the preset condition of the step (B2) is that the resolution of the field of view of the image 0.28-0.32 is optimal, and the value of the field of view of the 0 field of view and the field of view of the 0.4 field of view does not exceed 10%.
  • the preset condition of the step (B2) is that the resolution of the image 0.3 field of view is optimal, and the value of the 0 field of view and the resolution of the 0.4 field of view does not differ by more than 10%.
  • the preset condition of the step (B2) further comprises: a difference between the resolution of 0.4 and 0.7 field of view does not exceed 40%.
  • the adjustment parameter in the step (B1) is a gyro gain or a Hall sensitivity.
  • the step (C) includes the steps of: acquiring SFR values of different fields of view of the camera module in the two states of shaking and turning on optical image stabilization and stationary and turning off optical image stabilization, The amount of change in the SFR value of the two states of the same field of view is judged.
  • the evaluation condition of the step (C) is: the SFR difference of the two states of the 0 field of view to the 0.4 field of view is less than or equal to 10%, and 0.4 field of view to 0.7 field of view.
  • the SFR difference between the two states is less than or equal to 40%.
  • the step (C) includes the steps of: acquiring DB values of different fields of view of the camera module in the two states of shaking and turning on optical image stabilization and stationary and turning off optical image stabilization. The amount of change in the DB value of the two states of the same field of view is judged.
  • the present invention provides an evaluation method for an optical image stabilization system of a camera module, which includes the following steps:
  • the evaluation condition of the step (b) is: 0% of the SFR difference of 0 field of view to 0.4 field of view is less than or equal to 10%, and the SFR difference of 0.4 field of view to 0.7 field of view is less than or equal to 40%.
  • the present invention provides a calibration apparatus for an optical image stabilization system of a camera module, including:
  • a jittering station to provide a jitter environment for a camera module having an optical image stabilization system to be tested
  • a CTF test plate configured with a light source for MTF testing to screen for preset correction parameters of the optical image stabilization system
  • the calibration analysis system is communicably coupled to the camera module for testing and analyzing image information acquired by the camera module when capturing at least one test plate to obtain the Correction parameters of the optical image stabilization system of the camera module.
  • the correction analysis system finds the correction parameters by balancing the central field of view and the edge field of view.
  • the method further includes an SFR test label, after obtaining the calibration parameter, acquiring the camera module to shake and turning on the optical image stabilization and stationary and turning off the optical image stabilization, the two states.
  • the SFR value of the different field of view is determined by the amount of change in the SFR value of the two states of the same field of view to evaluate the anti-shake performance of the optical image stabilization system.
  • the method further includes a DB test label, after obtaining the correction parameter, acquiring the camera module to shake and turning on the optical image stabilization and stationary and turning off the optical image stabilization, the two states.
  • the DB value of the different field of view is judged by the amount of change in the DB value of the two states of the same field of view to evaluate the anti-shake performance of the optical image stabilization system.
  • the calibration analysis system includes: an image acquisition unit and a test unit, the image acquisition unit is configured to collect image information captured by a camera module, and the test unit is communicably connected to the The image acquisition unit detects and analyzes the quality information of the image collected by the image acquisition unit, and acquires the correction parameters of the optical image stabilization system when the imaging quality of the central field of view and the edge field of view of the image is balanced.
  • the testing unit includes a debugging module and an analysis module
  • the debugging module adjusts parameters of the optical image stabilization system to obtain images of different quality
  • the analysis module analyzes different qualities. And determining, when the image quality meets a preset condition, a parameter of the corresponding optical image stabilization system is the correction parameter.
  • the analysis module analyzes that the MTF resolution of one or more fields of view in the field of view of 0.28-0.32 is optimal, and the 0 field of view and one of the 0.35-0.5 field of view ranges are The correction parameter is obtained when the MTF resolution values of the field of view differ by no more than 20%.
  • the analysis module obtains that the resolution of the 0.3 field of view is optimal, and the correction parameter is obtained when the value of the 0 field of view and the resolution value of the .4 field of view differ by no more than 10%.
  • the calibration analysis system further includes an evaluation unit, configured to evaluate whether the optical image stabilization system corresponding to the correction parameter is qualified, and when the analysis module determines that the correction parameter is obtained, The evaluation unit judges whether or not the evaluation condition is reached by comparing the amount of change in the SFR or DB value of turning on or off the optical image stabilization system.
  • the evaluation condition of the evaluation unit in the calibration analysis system is:
  • the SFR difference of 0 field of view to 0.4 field of view is less than or equal to 10%
  • the SFR difference of 0.4 field of view to 0.7 field of view is less than or equal to 40%.
  • the evaluation condition of the evaluation unit in the calibration analysis system is: the SFR difference of 0.6 field of view is less than or equal to 40% in two states of turning on or off the optical image stabilization system .
  • the correction analysis system further includes a burning unit, wherein the programming unit burns the correction parameter to the said unit when the evaluation unit evaluates that the optical image stabilization system meets the evaluation condition Optical image stabilization system.
  • FIGS. 1A to 1C are schematic views of correction of a prior art optical image stabilization system.
  • FIGS. 2A to 2C are schematic views showing the evaluation method of the optical image stabilization system of the prior art.
  • FIG. 3 is a block diagram of a calibration analysis system of a camera module optical image stabilization system in accordance with a preferred embodiment of the present invention.
  • FIG. 4 is a pre-adjustment diagram of a calibration analysis system of a camera module optical image stabilization system in accordance with the above-described preferred embodiment of the present invention.
  • FIG. 5 is a schematic diagram of acquisition of correction parameters of a calibration analysis system of an optical stabilization system of a camera module according to the above preferred embodiment of the present invention.
  • FIG. 6 is a schematic diagram of an MTF test of a calibration analysis method of an optical image stabilization system of a camera module according to the above preferred embodiment of the present invention.
  • Fig. 7 is a schematic diagram showing the evaluation of the correction analysis method of the optical image stabilization system of the camera module according to the above preferred embodiment of the present invention.
  • FIG. 8 is a schematic diagram of an SFR test of a calibration analysis method of an optical image stabilization system of a camera module according to the above preferred embodiment of the present invention.
  • FIG. 9 is a schematic diagram of a DB test of a calibration analysis method of an optical image stabilization system of a camera module according to the above preferred embodiment of the present invention.
  • FIG. 10 is a flow chart showing a calibration analysis method of an optical image stabilization system of a camera module according to the above preferred embodiment of the present invention.
  • 11A is a schematic diagram of a calibration apparatus of an optical image stabilization system of a camera module in accordance with another preferred embodiment of the present invention.
  • FIG. 11B is another schematic diagram of a correction apparatus of the optical image stabilization system of the camera module according to the above preferred embodiment of the present invention.
  • FIG. 12 is a block diagram of a method of correcting an optical image stabilization system of a camera module in accordance with another preferred embodiment of the present invention.
  • FIG. 13 is a block diagram showing an evaluation method of an optical image stabilization system of a camera module according to another preferred embodiment of the present invention.
  • Figure 14A is a comparison analysis of different field of view SFR test results for the optical image stabilization system at 0 field of view.
  • FIG. 14B is a comparison analysis diagram of different field of view SFR test results of the optical image stabilization system and the correction method thereof using the camera module of the above preferred embodiment of the present invention.
  • Optical image stabilization technology is an important anti-shake technology currently developed in the field of camera, which can slow down the image quality caused by the influence of the external environment, such as hand shake.
  • Optical image stabilization can improve image quality and compensate for image quality effects caused by jitter.
  • relatively attention is paid to the change of the positional relationship of the image caused by the jitter, and the central region of the image is relatively focused, and the actual quality of the image due to the change of the actual quality due to the jitter is not paid more deeply, which is The drawbacks of existing anti-shake technology.
  • the present invention proposes a correction system for an optical image stabilization system of a camera module, which pays more attention to changes in image quality under different states of jitter and non-jitter, so that the correction is closer to the state actually required to be calibrated. , which improves the quality of the corrected image.
  • a calibration analysis system 1000 for an optical image stabilization system of a camera module includes an image acquisition unit 100 for acquiring one Image information captured by the camera module 1; a test unit 200 detects and analyzes image information detected by the image acquisition unit to obtain correction parameters of the optical image stabilization system.
  • the camera module is applied to electronic products such as laptop computers, tablet computers, mobile phones and digital cameras.
  • the camera module having the optical image stabilization function is exemplified by the camera module applied to the mobile phone.
  • the test unit 200 is communicably connected to the image acquisition unit 100 to obtain image information captured by the camera module collected by the image acquisition unit 10, and then detects and analyzes the image to obtain the camera module.
  • the correction parameter of the optical image stabilization system is fed back to the camera module, so that the camera module can obtain an image with uniform image quality when the optical image stabilization system is turned on.
  • the image capturing unit 100 collects the image information of the camera module
  • the camera module 1 needs to be in a suitable shooting state.
  • the camera module 1 has a suitable focal length for ingesting. Relatively clear image.
  • the image acquisition unit 100 includes a pre-adjustment module 101 for adjusting the camera module to make the camera module 1 suitable. Shooting status.
  • the pre-conditioning module 101 adjusts the camera module 1 such that the camera module 1 focuses on an image taken, for example, but not limited to, the The pre-conditioning module 101 drives the module motor of the camera module 1 so that the camera module 1 completes the focusing process.
  • the image acquisition unit 100 takes in image information of a test plate 2.
  • CTF Contrast Transfer Function
  • SFR Spatial Frequency Response
  • DB DB standard
  • the camera module 1 captures the image information of the test plate 2 and transmits it to the image acquisition unit 100, the pre-preparation of the image acquisition unit 100.
  • the adjustment module 101 adjusts the camera module 1 according to the acquired image, so that the camera module 1 is in a state suitable for shooting.
  • the image acquisition unit 100 takes an image of the test signature 2 and passes it to the test unit 200.
  • the test unit 200 analyzes the image to calculate and analyze the correction parameters of the optical image stabilization system of the camera module 1 according to the image information, such as, but not limited to, gyrogain, hall sensitivity.
  • the gyro gain value is a gyro sensor of the camera module 1 when the image module is shaken, and an angular velocity of the gyro sensor corresponds to an output current of the optical image stabilization system of the image module.
  • the coefficient between the two is an important function of whether the optical image stabilization system of the image module can function normally. parameter. It is worth mentioning that the camera module has an optimal gyro gain value.
  • the optical anti-shake parameter of the camera module is the most important part of the correction of the optical anti-shake system of the camera module, which affects the camera module 1
  • the performance of the optical image stabilization system It is worth mentioning that, by the existing correction method, depending on the correction principle, the acquired correction parameters pay attention to the image quality of the image center, and the calculation method is based on the offset, so that the image center position obtained after the correction is obtained. The image quality at the edge position is quite different, and the overall image is not balanced.
  • the test unit 200 focuses on the overall optical image effect of the image acquired by the image acquisition unit 100, and based on this, seeks the optical image stabilization of the camera module 1.
  • the correction parameters of the system are such that the image captured by the camera module 1 after being corrected by the optical image stabilization system has better uniformity.
  • the testing unit 200 includes a debugging module 201 and an analysis module 202.
  • the debugging module 201 is configured to adjust parameters of the optical image stabilization system of the camera module 1 to obtain image information in different states.
  • the analysis module 202 is configured to analyze and determine the image quality obtained after the adjustment by the debugging module 201, and seek a state in which the image center and the edge are equalized, thereby obtaining the optical of the camera module 1 corresponding to the image equalization.
  • the debugging module 201 adjusts the images of different image quality
  • the analysis module 202 analyzes the obtained images of different image quality, and seeks images corresponding to the preset conditions, and the optical defense corresponding to the images at this time
  • the parameters of the shaking system that is, the correction parameters sought, are the correction parameters of the optical image stabilization system that equalizes the image.
  • the image information that the analysis module 202 needs to analyze includes an image that is captured when the camera module 1 is in a dither state and the state of the optical image stabilization system is turned on. That is, the camera module 1 is in a state of being shaken, and the image capturing unit 100 collects image information captured by the camera module and transmits the image information to the testing unit 200, and the debugging of the testing unit 200.
  • the module 201 continuously adjusts the parameters of the optical image stabilization system of the camera module 1 to obtain images of different quality after being operated by the optical image stabilization system, and the analysis module 202 analyzes the images of different quality.
  • An image conforming to a preset condition is sought to obtain correction parameters of the optical image stabilization system, such as, but not limited to, gyro gain, Hall sensitivity.
  • the debugging module 201 adjusts the parameters of the optical image stabilization lens of the camera module to be, for example, but not limited to, gyro gain and Hall sensitivity, thereby obtaining different gyro gains and Hall sensitivities.
  • the resulting image The analysis module 202 analyzes different gyro gains and Sensitive image quality, when the image quality reaches the preset condition, the image quality at this time is defined as the image equalization state, and the parameter of the optical image stabilization system obtained at this time is the parameter of the equalized image, that is, the correction parameter. .
  • the analysis module 202 analyzes the preset condition of the image: when the resolution of the obtained image 0.3 field is the best, and the difference between the 0 field of view and the 0.4 field of view resolution force does not exceed 10%. , defines the image quality at this time as the image equalization state. That is, in the process of obtaining the correction parameter, the analysis module 202 cooperates with the debugging module 201, and the debugging module 201 adjusts the parameters of the optical image stabilization system to obtain different effects after the anti-shake system is applied.
  • the analysis module 202 analyzes the adjusted images of different quality one by one until the image quality meets the preset condition, for example, but not limited to, one of the obtained images in the range of 0.28-0.32 field of view.
  • the resolution of the field such as 0.3 field of view is the best, and the value of the resolution of the 0 field of view and the field of view of the 0.4 field of view does not exceed 10%.
  • the debugging module 201 is finished working, and the adjustment is not required.
  • the parameters of the anti-shake system are the correction parameters.
  • the 0 field of view corresponds to the most central field of view of the camera module 1.
  • the resolution of the central field of view is concerned, and Selecting a range of field of view, the resolution and adjustment of the resolution of the field of view, so that when the resolution of the central field of view is guaranteed to achieve better performance, the resolution of the edge field of view can also be considered.
  • the field of view of interest for balancing image quality is 0.35-0.5 field of view, for example, in the above embodiment, the selected field of view point value is 0.4 field of view.
  • the resolution of the central field of view and the edge field of view are balanced, so that the central field of view has a better level of resolution, and the edge field of view does not produce too poor resolution or ambiguity.
  • an appropriate one or more fields of view can be selected within the above range for evaluation, such as 0.36, 0.42, 0.45, 0.48 field of view, and the like.
  • the analysis module 202 of the test unit 200 analyzes and obtains image quality of different field of view in different images, and uses the resolution as an analysis target parameter, and Comparing the image quality of different fields of view, balancing the image effect of the whole image, and selecting the parameters that meet the conditions, that is, the correction parameters when the image quality is balanced, is different from the selection method in the prior art.
  • the camera module takes in image information of a CTF standard and performs MTF (Modulation Transfer Function) test.
  • the image quality is analyzed by taking the MTF value corresponding to the predetermined field of view range. That is, the test label 2 is selected as a CTF standard, and the debugging module 201 adjusts parameter values of the optical image stabilization system of the camera module, for example, but not limited to, gyro gain and Hall sensitivity.
  • the analysis module 202 analyzes the MTF value of the image captured by the camera module in different field of view of the CTF standard image under different parameters of the optical image stabilization system of the camera module, when the acquired image is at 0.3
  • the parameters of the optical image stabilization system of the camera module are the required correction parameters, that is, the image quality. Correction parameters for optical image balance. That is, in this step of the present invention, the CTF standard is used as a test plate, but the MTF method is used for testing to select the optimum gyro gain or Hall sensitivity.
  • the analysis module 202 of the test unit 200 analyzes the image quality object as the resolution power, that is, the actually obtained image quality; on the other hand, consider different field of view ranges.
  • the image quality of the central area and the edge area are considered; in addition, the representative field of view area is selected, such as 0 field of view representing the central field of view, 0.3 field of view representing the center field of the center and the edge, and 0.4 field of view representing the edge of the field.
  • the correction parameter value obtained by the optical image stabilization system of the camera module 1 is such that the overall image of the image captured by the camera module is balanced and has good uniformity.
  • the image quality consideration ranges from 0 to 0.7 field of view, that is, if the quality of the image in the range of 0 field of view to 0.7 field of view, for example but not limited to, the resolution force, can be balanced, ie The entire image quality image is balanced.
  • the analyzing unit of the testing unit 200 further analyzes the image quality of the range of 0.4 to 0.7 field of view, for example, a condition may be added: the difference between the resolution of the 0.4 field of view and the 0.7 field of view is less than 40%. .
  • the debugging module 201 adjusts the parameter values of the optical image stabilization system of the camera module, such as, but not limited to, gyro gain, Hall sensitivity, and the analysis module 202 analyzes the
  • the image captured by the camera module is in the MTF value of the image in different field of view of the image under different parameters of the optical image stabilization system of the camera module.
  • the parameters of the optical image stabilization system of the camera module are the best correction parameters. That is to make the image quality optical shadow The best correction parameters like balance of effects.
  • the selection of the field of view of the above-mentioned preset conditions and the selection of the resolution difference are only preferred examples, and are not limited.
  • different views may be selected.
  • the field range is compared and is not limited to the values selected in the above example.
  • the correction system of the optical image stabilization system further includes an evaluation unit 300 for evaluating the optical image stabilization system and determining the optical protection Whether the shaking system is qualified. More specifically, the evaluation unit 300 evaluates whether or not the optical image stabilization system having the correction parameters sought by the test unit 200 is qualified.
  • the evaluation unit 300 is communicatively coupled to the image acquisition unit 100 for analyzing the state in which the camera module is stationary and off the optical image stabilization system, and the camera module 1 is in the state of shaking and turning on the optical anti-shake state.
  • the amount of change in the SFR (Spatial Frequency Response) value and defines that the optical correction system of the camera module passes when the amount of change in the SFR value is within a predetermined range. That is, when the difference of the SFR values of the same field of view in the two states is within a predetermined range, the calibration parameters obtained by the analysis module 202 of the test unit 200 meet the requirements, so that the camera module 1 ingests The image image is balanced.
  • the image acquisition unit 100 collects an SFR standard image of the camera module in a state where the optical image stabilization system is turned off, and obtains the state in the state. SFR values for different field of view. Further, the image acquisition unit 100 acquires an SFR standard image of the camera module in a state in which the optical image stabilization system is turned on, and obtains SFR values of different field of view ranges in the state, and then compares the images in the camera.
  • the module evaluates the performance of the optical image stabilization system while the module is stationary and the state of the optical image stabilization system is turned off and the camera module 1 is dithered and the optical anti-shake state is turned on.
  • the object evaluated by the evaluation unit 300 is the optical image stabilization system corresponding to the optimal correction parameter obtained by the analysis unit 202 of the test unit 200. That is to say, the evaluation unit 300 can evaluate whether the correction parameter acquired by the analysis unit 200 and the evaluation condition.
  • the DB value is the evaluation object, and the calculation method is based on the offset of the image displacement.
  • the image is usually used in the evaluation.
  • the central area is the evaluation object, which makes the selected correction parameters poor, and the difference between the center and the edge of the image after the optical image stabilization system is large.
  • the SFR values of different fields of view are selected as evaluation objects, which are based on image quality and image effects.
  • the evaluation unit 300 acquires SFR values of the 0 field of view to the 0.7 field of view of the camera module in two states, and compares the same field of view. The difference between the two states is determined whether the SFR values of the two states are within a predetermined range. If the range is within the predetermined range, the calibration parameters obtained by the test unit 200 are qualified, which is the optimal correction parameter; if not within the predetermined range, Then, the calibration parameters obtained by the test unit 200 are unsatisfactory.
  • the evaluation condition may be that the SFR difference of 0 field of view to 0.4 field of view is less than or equal to 10%, and the SFR difference of 0.4 field of view to 0.7 field of view is less than or equal to 40%.
  • the 0.6 field of view is a representative field of view.
  • the evaluation unit 300 obtains the SFR value of the camera module at 0.6 field of view. And comparing the SFR values corresponding to the two states, and determining whether the SFR difference in the two states is less than or equal to 40%.
  • Figure 9 is another embodiment of an optical image stabilization system evaluation mode in accordance with the above-described preferred embodiment of the present invention.
  • the DB test may be used to evaluate whether the optical image stabilization system corresponding to the correction parameter is qualified.
  • the test label 2 is selected from the DB standard, and the width values Ax, Bx, Cx, or Ay, By, Cy, of the DB standard image corresponding to the three states of static off OIS, vibration off OIS, and vibration on OIS are respectively tested.
  • the DB value is such that the optical image stabilization system is evaluated according to the DB. That is to say, when evaluating the optical image stabilization system corresponding to the correction parameter, a DB test or an SFR test can be selected.
  • the calibration analysis system 1000 includes a programming unit 400 for burning an optimal correction parameter to an optical image stabilization system of the camera module.
  • the correction parameters obtained by the testing unit 200 for example, but not limited to, the gyro gain and the Hall sensitivity are the optimal correction parameters, and the programming unit 400 will pass the qualified
  • the correction parameter feedback is burned to the optical image stabilization system of the camera module.
  • the evaluation unit 300 fails the evaluation, it is indicated that the calibration parameter obtained by the testing unit 200 is not the optimal calibration parameter, and the test needs to be re-tested, or the optical anti-shake system is unqualified. To exit the calibration process.
  • the programming unit 400 determines whether the programming is completed, and the burning is completed, indicating that the calibration process is successfully completed, and the optical defense of the qualified camera module is obtained. Shake the system; if the burn is not completed, there is an error in the burning process.
  • the calibration device includes a calibration device 10 and a dithering station 20.
  • the calibration device 10 is disposed on the dithering station 20 to obtain a dithering environment.
  • the calibration device 10 is configured to test a camera module 1 for ingesting one.
  • the image information acquired at the time of the calibration 2 is tested to obtain correction parameters of the optical image stabilization system of the camera module, thereby correcting the optical image stabilization system.
  • the correction device 10 includes a mounting portion for mounting the camera module 1 so that the camera module 1 can capture an image of the test plate 2. It can be understood that the correcting device is used for supporting and mounting the camera module 1 , which may be mounted on the shaking table 20 or may be integrally formed with the shaking table 20 .
  • the calibration apparatus 10 is provided with a calibration analysis system 1000 for the camera module optical image stabilization system, and the calibration system is tested by the calibration system.
  • the image information of the test plate 2 taken by the camera module 1 is obtained to obtain correction parameters of the optical image stabilization system of the camera module, and the optical image stabilization system of the camera module is corrected.
  • the dithering station 20 has an open and closed state, and when in the open state, the dithering station is shaken, and when in the off state, the dithering station is stationary. Still further, in accordance with a preferred embodiment of the present invention, the dithering station has a plurality of dithering gear positions that provide different dithering states when different gear positions are selected. That is to say, when the camera module 1 is mounted on the shaking table 20, the user can select different shaking states according to requirements, so as to conveniently complete the calibration process of the optical image stabilization system of the camera module.
  • the test label 2 can select different types of labels according to different testing needs, such as CTF standard, SFR standard, DB standard, and the like. More specifically, when screening the calibration parameters, the CTF standard is used for the MTF test, and when the optical image stabilization performance is evaluated, the SFR plate or the DB plate is used.
  • the calibration device includes a light source 30 disposed corresponding to the test plate 2 to provide a uniform source of light for the test plate 2.
  • the calibration device 10 is disposed on the shaking table 20, and the camera module 1 is mounted on the mounting portion of the calibration device 10,
  • the camera module 1 is communicably connected to the calibration analysis system via the communication terminal. That is to say, the image information captured by the camera module 1 is transmitted to the correction analysis system through the communication terminal.
  • the test pattern 2 is selected as a CTF standard, and the CTF standard is used for the MTF test.
  • the camera station 1 is in a dithered state, and the image acquisition unit 100 of the calibration analysis system collects a CTF plate image taken when the camera module 1 is in a dither state.
  • the pre-conditioning module 101 of the image capturing unit 100 drives the module motor of the camera module to perform focusing, so that the camera module is in a state suitable for shooting.
  • the debugging module of the test unit 200 adjusts parameters of the optical image stabilization system of the camera module 1 , such as gyro gain and Hall sensitivity, so that the image acquisition unit 100 collects
  • the images have different qualities
  • the analysis module 202 of the test unit 200 analyzes image information of different qualities when the image quality reaches a preset condition: when the acquired image has the best MTF resolution in the 0.3 field of view, and the 0 field of view
  • the debugging module 201 stops adjusting the parameters of the optical image stabilization system of the camera module 1, and the optical protection of the camera module 1 at this time.
  • the parameters of the shaking system are correction parameters.
  • the test label 2 when evaluating the optical anti-shake system corresponding to the correction parameter, is selected as an SFR standard, and is adopted.
  • the SFR standard performs an SFR test to evaluate calibration parameters acquired by the test unit.
  • the camera station 1 is in an open state, and the image capture unit 100 collects SFR values of different fields of view when the camera module is in a jittered state and an optical image stabilization open state.
  • the imaging unit 1 is in a stationary state, and the optical image stabilization system of the camera module 1 is turned off, and the image capturing unit 100 collects the camera module 1 to be stationary and closed.
  • the image information of the SFR plate is taken in the state of the optical image stabilization system, and the image information of the two states is transmitted to the evaluation unit 300.
  • the evaluation unit 300 compares the change of the SFR value of different fields of view in two states, when the amount of change of the SFR value is within a predetermined range: for example but not limited to, the SFR difference of 0 field of view to 0.4 field of view is less than or equal to 10%, and the SFR difference of 0.4 field of view to 0.7 field of view is less than or equal to 40%, and the optical image stabilization system of the camera module 1 is qualified, and the corresponding correction parameter is the optimal correction parameter.
  • the programming unit 400 burns the optimal correction parameter to the optical image stabilization system of the camera module 1 and detects whether the programming process is completed. If the programming process is completed, the camera module is The correction of the optical image stabilization system of 1 is successful.
  • the correction device is set in a darkroom environment, so that when the camera module 1 is ingesting the test signature image, a clear image can be obtained.
  • the calibration method includes the following steps:
  • the camera module needs to be adjusted to make the camera module in a state suitable for shooting, for example, but not limited to, adjusting a module motor of the camera module, so that The camera module focuses, thereby reducing other factors outside of the optical image stabilization system that affect image quality. Therefore, the step (A) includes the steps of: adjusting the camera module such that the camera module is in a suitable shooting state. Further, the adjusting step in the step (A) may be: driving a module motor of the camera module to focus the camera module.
  • the image is selected as a test target image, and different test templates, such as a CTF standard, a SFR standard, and a DB standard, may be selected according to different needs.
  • the correction method of the present invention is based on image quality information of different fields of view as a basis for selecting a correction parameter, so that the selected correction parameter is based on image quality, not image displacement information, and
  • the image quality of different fields of view is compared, so that the image effect of the overall image is better and uniform, for example, the contrast between the central field of view and the edge field of view is reduced, and the edge fading phenomenon is reduced.
  • the parameters of the optical image stabilization system of the camera module for example, but not limited to, the gyro gain and the Hall sensitivity, are adjusted to obtain images of different qualities, and images of different qualities are simultaneously selected.
  • the analysis is performed to determine whether the image quality reaches the preset condition, and the parameter that satisfies the preset condition is defined as the correction parameter. Therefore, the step (B) comprises the steps of:
  • the step (B1) and the step (B2) work together, that is, when the parameters of the optical image stabilization system of the camera module are adjusted once, an image of a quality state is obtained, and the quality is analyzed simultaneously.
  • the image in the state seeking correction parameters that meet the preset conditions.
  • the adjustment parameters in the step (B1) are gyro gain and Hall sensitivity.
  • the step (B2) comprises the steps of: acquiring MTF values of different fields of view in different quality images, and comparing MTF values of different fields of view.
  • the preset condition in the step (B2) is that the resolution of the image 0.3 field of view is optimal, and the value of the 0 field of view and the resolution of the 0.4 field of view does not differ by more than 10%.
  • the preset condition of the step (B2) may be: the resolution of the image 0.3 field of view is optimal, and the value of the 0 field of view and the resolution of the 0.4 field of view does not differ by more than 10%, 0.4.
  • the difference from the resolution of the 0.7 field of view does not exceed 40%. That is to say, the main field of view range 0 field to 0.7 field of view in the image is compared. Rather than being limited to focusing on the image quality of the central field of view.
  • the DB parameter of the image center area is generally used to evaluate the optical image stabilization system, and the calculation of the DB parameter is based on the offset of the position of the image, and the image center area is concerned, and thus the image imbalance occurs.
  • the SFR evaluation method is established in the step (C) such that the evaluation is based on the actual quality of the image, and the different regions of the image are focused, thereby selecting a correction parameter having a better correction effect.
  • the step (C) includes the steps of: acquiring the SFR values of the different fields of view in the two states of the camera module when the camera module is shaken and the optical image stabilization is turned on and the optical image stabilization is turned off, and the two states of the same field of view are determined. The amount of change in the SFR value.
  • a conventional DB test method can also be employed.
  • the SFR test method is preferably employed.
  • the evaluation condition of the step (C) is: the SFR difference of 0 field of view to 0.4 field of view is less than or equal to 10%, and the SFR difference of 0.4 field of view to 0.7 field of view is less than or equal to 40%, the optical image stabilization system of the camera module 1 is qualified. That is, the optical image stabilization system is qualified when the evaluation conditions are satisfied.
  • FIG. 13 is a review of an optical image stabilization system of a camera module according to the above preferred embodiment of the present invention. Price method. The evaluation method includes the following steps:
  • the evaluation condition in the step (b) is: the SFR difference of 0 field of view to 0.4 field of view is less than or equal to 10%, and the SFR difference of 0.4 field of view to 0.7 field of view is less than Equal to 40%.
  • the evaluation method can also be used to filter the camera module, so that the overall image effect of the image captured by the selected camera module is more uniform, and the contrast between the center and the edge is reduced, thereby enhancing the user's visual experience. Therefore, the method includes the steps of: (c) screening the camera module based on the evaluation result.
  • 14B is a view showing two states of the three camera module samples (sample one, sample two, sample three) being corrected by the correction analysis system of the optical image stabilization system of the camera module (camera module jitter) State and open the optical anti-shake system state, the camera module is stationary and the optical anti-shake system state is turned off) and 0.3 field of view is optimal and the field of view of the 0 field of view and the 0.4 field of view resolution difference does not exceed 10% The change in the SFR value. Comparing the two sets of experimental data before and after the correction, it can be clearly seen that the SFR difference of the overall field of view of the camera module corrected by the calibration analysis system of the present invention is smaller than that of the prior art. The state in which the central field of view is corrected.
  • the SFR difference of the two states of the sample 1 in FIG. 14A is 77%, and after the correction, the SFR difference of the 0.6 field of view of the sample 1 in the two states is 35%, indicating The calibration analysis system works together to better correct the sample.

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Abstract

一摄像模组光学防抖系统的校正设备及其方法，该方法利用CTF标版进行MTF测试并通过平衡中心视场和边缘视场的MTF解像力水平来筛选得到光学防抖系统的参数，然后可以利用SFR测试或DB测试来评价光学防抖系统的防抖性能，这样在保证中心解像力达到要求的情况下，提升边缘的解像力，减少边缘像糊现象，从而平衡整体图像画面质量。

Description

摄像模组光学防抖系统的校正设备及其校正方法 技术领域
本发明涉及光学防抖摄像模组领域，更进一步，涉及一摄像模组光学防抖系统的校正设备及其校正方法，其基于影像效果地对摄像模组的光学防抖系统进行校正。
背景技术
光学防抖(OIS：Optical Image Stabilizer)是目前最被公众认可的一种防抖技术，它可以通过移动式的部件，对发生抖动的光路进行补偿，从而减轻照片模糊的效果。目前光学防抖技术分为两大类，一类是通过镜片的移动实现光学防抖，另一类是通过CCD感光元件的移动实现光学防抖。
光学防抖技术是在镜头内的陀螺仪侦测镜头的微小移动，当侦测到移动时，陀螺仪将信号传输至微处理器，微处理器立即计算需要补偿的位移量，然后通过补偿镜片组或CCD感光元件，根据镜头的抖动方向以及位移量加以补偿，从而有效地克服因相机的抖动产生的影像模糊。
参照图1A至1C，目前市场上带光学防抖的摄像模组在校正的过程中，通过陀螺仪感测手的抖动或者外部环境引起的镜头的抖动，并且将抖动引起的相机摄像头的倾斜角度测算出，光学防抖系统再根据该角度预测出倾斜导致的图像偏移量，然后光学防抖系统控制镜头相对于图像传感器平移而产生相同大小但方向相反的图像偏移，由于将抖动造成的图像偏移抵消，保证相机在抖动环境中依然可保持成像稳定。
由此可以看到，现有的光学防抖校正方式存在一些不尽人意的地方。现有的光学防抖系统的校正方式，主要是通过陀螺仪侦测镜头的倾斜，以镜头主光轴为参照定义偏移量，进而通过移动IS镜片或CCD感光元件来补偿镜头的倾斜量，而并未涉及由于抖动对图像效果实际产生的影响，以及校正补偿后得到的图像质量。
一方面，在现有的防抖补偿校正方式中，通过陀螺仪检测镜头的倾斜角度来 补偿图像偏移，也就是说，从物理位置的角度去判断对图像质量的影响，而没有考虑物理位置的变化对图像带来的实际影响，而从校正的目的来说，最终要实现的目的是图像质量的提升，而不是对镜头偏移角度的校正。
另一方面，观测现有带光学防抖功能的摄像模组，当开启光学防抖时，通常情况，当防抖系统对图像中心的抖动进行最佳补偿时，通常会损失图像边缘位置的画质。也就是说，通过陀螺仪观测物理位置的变化，直接补偿后得到的实际图像的质量并不是优质的图像，而出现的问题是中心视场和边缘视场的解像力相差较大，从而使得整体图像不同位置画面质量不均匀，比如，使得图像的中心区域和边缘区域的图像质量反差变大，极度不柔和，用户观感被影响。
还值得一提的是，参照图2A至2C，在现有技术中，通常采用参数DB值来评价光学防抖系统，其计算公式为：DB＝20log((Cx-Ax)/(Bx-Ax))，(其中，Ax为防抖系统关闭且无抖动状态的标版图像宽度，Bx为防抖系统关闭且抖动状态下的标版图像宽度，Cx为防抖系统开启且抖动状态下标版图像宽度)。从这里可以看到，DB值的评价以位移为评价基础，而不是图像是具体位置的画质。而且，在计算DB时通常选取图像中心区域作为评价对象，因此补偿时主要是对图像中心区域的偏移的补偿。这些因素，都使得采用现有方式校正后的图像中心区域和边缘区域的图像质量差异变大。
发明内容
本发明的一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，其在校正时关注实际图像质量，使得校正更加接近实际需要补偿的效果。
本发明的另一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，其建立图像质量判断标准，依据判断标准获取校正参数，使得校正方式基于影像效果。
本发明的另一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，其平衡图像画质的整体光学影像效果，对摄像模组的光学防抖系统进行校正，使得图像画质具有较好的均匀性。
本发明的另一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，其在保证中心解像力达到要求的情况下，提升边缘的解像力，减少边缘像糊现象，从而平衡整体图像画面质量。
本发明的另一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，其采用SFR测试评价光学防抖性能，更加准确地评价光学防抖性能，更加合理的筛选摄像模组。
本发明的另一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，在通过平衡中心视场和边缘视场筛选得到防抖的所述校正参数后，也可采用DB测试评价光学防抖性能。
本发明的另一个目的在于提供一摄像模组光学防抖系统的校正设备及校正方法，其在校正时，平衡图像的整体影像效果，使得校正后获取的图像具有较好的均匀性，提升用户观看感受。
为了实现以上发明目的，本发明的一方面提供一摄像模组的光学防抖系统的校正方法，其如下步骤：
(A)采集一摄像模组摄取的图像信息；
(B)依据图像信息，寻求符合预设条件的校正参数；
(C)评价所述校正参数对应的所述光学防抖系统；和
(D)当所述光学防抖系统符合评价条件时，烧录所述校正参数至所述光学防抖系统。
根据本发明的一个实施例，其中所述步骤(B)包括步骤：
(B1)通过平衡中心视场和边缘视场的解像力地调整所述摄像模组的所述光学防抖系统的参数，以得到不同成像质量的图像；和
(B2)分析所述不同成像质量的图像，判断所述图像质量是否满足预设条件，定义满足预设条件时对应的所述光学防抖系统参数为校正参数。
根据本发明的一个实施例，所述步骤(B2)包括步骤：所述摄像模组拍摄CTF标版获取不同视场的MTF值，基于所述不同视场的MTF值判断所述图像质量是否满足预设条件。
根据本发明的一个实施例，通过评价0.35-0.5视场范围中一个或多个视场的MTF值以平衡所述中心视场和所述边缘视场的解像力。
根据本发明的一个实施例，通过评价0.35、0.38、0.4、0.42、0.45或0.48视场的MTF值以平衡所述中心视场和所述边缘视场的解像力。
根据本发明的一个实施例，所述步骤(B2)的预设条件为：图像0.28-0.32视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％。
根据本发明的一个实施例，所述步骤(B2)的预设条件为：图像0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％.
根据本发明的一个实施例，所述步骤(B2)的预设条件还包括：0.4与0.7视场的解像力差值不超过40％。
根据本发明的一个实施例，所述步骤(B1)中调整参数为陀螺增益或霍尔灵敏度。
根据本发明的一个实施例，所述步骤(C)包括步骤：获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的SFR值，判断同视场的两种状态的SFR值的变化量。
根据本发明的一个实施例，所述步骤(C)的评价条件为：0视场至0.4视场的所述两种状态的SFR差值小于等于10％，且0.4视场至0.7视场的所述两种状态的SFR差值小于等于40％。
根据本发明的一个实施例，所述步骤(C)包括步骤：获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的DB值，判断同视场的两种状态的DB值的变化量。
根据本发明的另外一方面，本发明提供一摄像模组的光学防抖系统的评价方法，其包括如下步骤：
(a)获取一摄像模组的分别处于静止且关闭光学防抖的和抖动且开启光学防抖两种状态下，图像不同视场的SFR值；和
(b)判断同一视场两种状态的SFR值的变化量，定义满足预设条件的为合格的光学防抖系统。
根据本发明的一个实施例，所述步骤(b)的评价条件为：0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％。
根据本发明的另外一方面，本发明提供一摄像模组的光学防抖系统的校正设备，其包括：
一抖动台，以为待测试的具有光学防抖系统的一摄像模组提供抖动环境；
一配置有光源的CTF测试标版，用于MTF测试以筛选得到所述光学防抖系统的预设的校正参数；和
一校正分析系统，所述校正分析系统可通信地连接于所述摄像模组，以用于测试和分析所述摄像模组在摄取至少一测试标版时获取的图像信息，以得到所述 摄像模组的所述光学防抖系统的校正参数。
根据本发明的一个实施例，所述校正分析系统通过平衡中心视场和边缘视场的方式找到所述校正参数。
根据本发明的一个实施例，其还包括一SFR测试标版，以在得到所述校正参数后，获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的SFR值，判断同视场的两种状态的SFR值的变化量以评价所述光学防抖系统的防抖性能。
根据本发明的一个实施例，其还包括一DB测试标版，以在得到所述校正参数后，获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的DB值，判断同视场的两种状态的DB值的变化量以评价所述光学防抖系统的防抖性能。
根据本发明的一个实施例，所述校正分析系统包括：一图像采集单元和一测试单元，所述图像采集单元用于采集一摄像模组摄取的图像信息，所述测试单元可通信连接于所述图像采集单元，检测分析所述图像采集单元采集的所述图像的质量信息，获取所述图像的中心视场和边缘视场的成像质量平衡时的所述光学防抖系统的校正参数。
根据本发明的一个实施例，所述测试单元包括一调试模块和一分析模块，所述调试模块调整所述光学防抖系统的参数，以得到不同质量的图像，所述分析模块分析不同质量的所述图像，当所述图像质量符合预设条件时，定义对应的所述光学防抖系统的参数为所述校正参数。
根据本发明的一个实施例，所述分析模块分析得到0.28-0.32视场范围内的一个或多个视场的MTF解像力最佳，且0视场与0.35-0.5视场范围中的一个多个视场的MTF解像力数值相差不超过20％时，得到所述校正参数。
根据本发明的一个实施例，所述分析模块分析得到0.3视场的解像力最佳，且0视场与.4视场的解像力数值相差不超过10％时，得到所述校正参数。
根据本发明的一个实施例，所述校正分析系统还包括一评价单元，用于评价所述校正参数对应的所述光学防抖系统是否合格，当所述分析模块判断得到所述校正参数时，所述评价单元通过比较在开启或关闭所述光学防抖系统的SFR或DB值变化量来判断否达到评价条件。
根据本发明的一个实施例，所述校正分析系统中所述评价单元的评价条件为： 0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％。
根据本发明的一个实施例，所述校正分析系统中所述评价单元的评价条件为：在开启或关闭所述光学防抖系统的两个状态下，0.6视场的SFR差值小于等于40％。
根据本发明的一个实施例，校正分析系统还包括一烧录单元，当所述评价单元评价所述光学防抖系统符合评价条件时，所述烧录单元将所述校正参数烧录至所述光学防抖系统。
附图说明
图1A至图1C是现有技术的光学防抖系统校正示意图。
图2A至2C是现有技术的光学防抖系统评价方式示意图。
图3是根据本发明的一个优选实施例的摄像模组光学防抖系统的校正分析系统框图。
图4是根据本发明的上述优选实施例的摄像模组光学防抖系统的校正分析系统的预调节示意图。
图5是根据本发明的上述优选实施例的摄像模组光学防抖系统的校正分析系统的校正参数获取示意图。
图6是根据本发明的上述优选实施例的摄像模组的光学防抖系统的校正分析方法的MTF测试示意图。
图7是根据本发明的上述优选实施例的摄像模组的光学防抖系统的校正分析方法的评价示意图。
图8是根据本发明的上述优选实施例的摄像模组的光学防抖系统的校正分析方法的SFR测试示意图。
图9是根据本发明的上述优选实施例的摄像模组的光学防抖系统的校正分析方法的DB测试示意图。
图10是根据本发明的上述优选实施例的摄像模组的光学防抖系统的校正分析方法的一流程示意图。
图11A是根据本发明的另一优选实施例的摄像模组的光学防抖系统的校正设备示意图。
图11B是根据本发明的上述优选实施例的摄像模组的光学防抖系统的校正设备另一示意图。
图12是根据本发明的另一优选实施例的摄像模组光学防抖系统的校正方法框图。
图13是根据本发明的另一优选实施例的摄像模组的光学防抖系统的评价方法框图。
图14A是光学防抖系统处于0视场最佳下的不同视场SFR测试结果比对分析图。
图14B是应用本发明的上述优选实施例的摄像模组的光学防抖系统及其校正方法在0.3视场最佳下的不同视场SFR测试结果比对分析图。
具体实施方式
以下描述用于揭露本发明以使本领域技术人员能够实现本发明。以下描述中的优选实施例只作为举例，本领域技术人员可以想到其他显而易见的变型。在以下描述中界定的本发明的基本原理可以应用于其他实施方案、变形方案、改进方案、等同方案以及没有背离本发明的精神和范围的其他技术方案。
光学防抖技术是摄像领域目前发展的一种重要的防抖技术，其可以在一定程度上减缓由于外界环境的影响，如手的抖动，造成的图像质量降低。光学防抖能够达到提升图像质量、补偿由于抖动引起的对图像质量的影响。而在现有技术中，相对比较关注在抖动时引起的图像位置关系的变化，且比较关注图像中心区域，没有更加深入地关注由于抖动引起的实际质量的变化，图像整体的视觉效果，这是现有防抖技术存在的弊端。
基于这些问题的存在，本发明提出一摄像模组的光学防抖系统的校正系统，其更关注在抖动、不抖动等不同状态下，图像质量的变化，从而使得校正更加接近实际需要校准的状态，从而可以提升经过校正的图像品质。
如图3至图10所示，是根据本发明的一优选实施例的摄像模组的光学防抖系统的校正分析系统1000，其作为一个分析中心，包括一图像采集单元100，用于采集一摄像模组1摄取的图像信息；一测试单元200，检测分析所述图像采集单元检测的图像信息，以获得所述光学防抖系统的校正参数。
所述摄像模组为应用于手提电脑、平板电脑、手机及数码相机等电子产品的 具有光学防抖功能的摄像模组，在本发明的一个实施例中，以应用于手机的所述摄像模组为例。
所述测试单元200通信连接于所述图像采集单元100，以获得所述图像采集单元10采集的所述摄像模组摄取的图像信息，进而对图像进行检测分析，以获得所述摄像模组的光学防抖系统的校正参数，反馈于所述摄像模组，使得所摄像模组在开启光学防抖系统的情况下，能够得到画质均匀的图像。
在所述图像采集单元100采集所述摄像模组的图像信息时，需要使得所述摄像模组1处于适宜的拍摄状态，举例地但不限于，使得所述摄像模组1适宜的焦距以摄取相对清晰的图像。参照图3，图4，图9，根据本发明的一优选实施例，所述图像采集单元100包括一预调节模块101，用于调节所述摄像模组，使得所述摄像模组1处于适宜的拍摄状态。在所述预调节模块101的一种实施方式中，所述预调节模块101调节所述摄像模组1，使得所述摄像模组1对摄取的图像的对焦，举例地但不限于，所述预调节模块101驱动所述摄像模组1的模组马达，使得所述摄像模组1完成对焦过程。
值得一提的是，为了便于分析图像信息，所述图像采集单元100摄取一测试标版2的图像信息。举例地但不限于，CTF(Contrast Transfer Function)标版、SFR(Spatial Frequency Response)标版、DB标版等，也就是说，可以根据校正过程的需要选择不同的所述测试标版2作为拍摄目标。因此，在所述校正系统采集图像的过程中，所述摄像模组1摄取所述测试标版2的图像信息，并且传递至所述图像采集单元100，所述图像采集单元100的所述预调节模块101根据获取的图像调节所述摄像模组1，使得所述摄像模组1处于适宜拍摄的状态。
当所述图像采集单元100的所述预调节模块101完成调节后，举例地但不限于，对焦，所述图像采集单元100摄取所述测试标版2的图像，并且传递至所述测试单元200。所述测试单元200分析所述图像，从而依据图像信息计算分析得到所述摄像模组1的所述光学防抖系统的校正参数，举例地但不限于，陀螺增益gyrogain，霍尔灵敏度hall sensitivity。
所述陀螺增益值为所述摄像模组1的陀螺仪传感器在所述影像模组受到抖动时，所述陀螺仪传感器的角速度对应所述影像模组的光学防抖系统在作用时的输出电流之间的系数，是所述影像模组的光学防抖系统是否能正常作用的一重要 参数。值得一提的是，所述摄像模组具有一个最佳陀螺增益值。
所述摄像模组的光学防抖参数，如陀螺仪增益、霍尔灵敏度，的校正是所述摄像模组光学防抖系统的校正中最为重要的部分，其影响所述摄像模组1的所述光学防抖系统的工作性能。值得一提的是，由现有的校正方式，依赖于其校正原理，获取的校正参数关注图像中心的画质，且计算方式以偏移量为基础，从而使得在校正后得到的图像中心位置和边缘位置的图像质量差别较大，图像整体不平衡。而根据本发明的一优选实施例，所述测试单元200关注所述图像采集单元100采集的图像的整体的光学影像效果，依此为基础，寻求所述摄像模组1的所述光学防抖系统的校正参数，使得所述摄像模组1在抖动的情况下经过所述光学防抖系统校正后拍摄的图像具有较好的均匀性。
根据本发明的一优选实施例，所述测试单元200包括一调试模块201和一分析模块202。所述调试模块201用于调整所述摄像模组1的所述光学防抖系统的参数，以得到不同状态下的图像信息。所述分析模块202用于分析判断经过所述调试模块201调整后得到的图像质量，寻求图像中心和边缘均衡时的状态，从而得到在图像均衡时对应的所述摄像模组1的所述光学防抖系统参数，即校正参数。也就是说，所述调试模块201调整得到不同的画质的图像，所述分析模块202分析得到的不同画质的图像，并从中寻求符合预设条件的图像，此时的图像对应的光学防抖系统的参数，也就是寻求的校正参数，即得到使得图像均衡的光学防抖系统的校正参数。
值得一提的是，所述分析模块202需要分析的图像信息包括所述摄像模组1处于抖动状态，并且开启所述光学防抖系统的状态时摄取的图像。也就是说，使得所述摄像模组1处于抖动的状态，所述图像采集单元100采集所述摄像模组摄取的图像信息，传递至所述测试单元200，所述测试单元200的所述调试模块201不断调整所述摄像模组1的所述光学防抖系统的参数，从而得到经过所述光学防抖系统作用后的不同质量的图像，所述分析模块202分析得到的不同质量的图像，以寻求符合预设条件的图像，从而得到所述光学防抖系统的校正参数，举例地但不限于，陀螺增益、霍尔灵敏度。
进一步，在校正过程中，所述调试模块201调整所述摄像模组的光学防抖镜头的参数为，举例地但不限于，陀螺增益、霍尔灵敏度，从而得到不同的陀螺增益和霍尔灵敏度下的得到的图像。所述分析模块202分析不同陀螺增益和霍 尔灵敏度的图像质量，当图像质量达到预设条件时，定义此时的图像质量为图像均衡状态，而此时调节得到的所述光学防抖系统的参数就是得到均衡图像的参数，即校正参数。
根据本发明的一实施例，所述分析模块202分析图像的预设条件为：当获得的图像0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％时，定义此时的图像质量为图像均衡状态。也就是说，在获取校正参数的过程中，所述分析模块202和所述调试模块201相配合，所述调试模块201调节所述光学防抖系统的参数，得到经过防抖系统作用后的不同质量的图像，所述分析模块202对调节得到的不同质量的图像一一进行分析，直到图像质量符合预设条件，举例地但不限于，获得的图像0.28-0.32视场范围中的某一个视场如0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％，此时所述调试模块201工作结束，不需要继续调节，而此时对应的所述光学防抖系统的参数就是校正参数。
值得一提的是，0视场对应所述摄像模组1的位于最中心的视场，在本发明的这个优选实施例中，不像现有技术中，只是关注中心视场的解像力，而且选取一个视场范围，对这个视场范围进行解像力的评价和调节，使得在保证中心视场的解像力达到较佳性能时，也能兼顾边缘视场的解像力。例如在这个实施例中，用来平衡图像质量所关注的所述视场范围是0.35-0.5视场，例如在上述实施例中，选取的视场点值是0.4视场。通过调节0.4视场的解像力水平，达到同时平衡中心视场和边缘视场的解像力，使得中心视场有较佳的解像力水平，而边缘视场不致于产生解像力太差或像糊。本领域技术人员可以理解的是，可以在上述范围内挑选合适的一个或多个视场去进行评估，例如0.36、0.42、0.45、0.48视场等。
值得一提的是，在本发明的上述实施例中可以看到，所述测试单元200的所述分析模块202分析获得不同图像中不同视场范围的图像质量，以解像力为分析目标参数，并且比较不同视场的图像质量，平衡图像整体的影像效果，从而选取符合条件的参数，即图像质量均衡时的校正参数，不同于现有技术中的选取方式。
参照5，图6，根据本发明的一实施例，所述摄像模组摄取一CTF标版的图像信息，进行MTF(Modulation Transfer Function调制度传递函数)测试，获 取预定视场范围对应的MTF值，来分析图像质量。也就是说，所述测试标版2选取为CTF标版，所述调试模块201调整所述摄像模组的光学防抖系统的参数值，举例地但不限于，陀螺增益、霍尔灵敏度，所述分析模块202分析所述摄像模组摄取的图像在经过所述摄像模组的光学防抖系统在不同参数下的CTF标版图像的在不同视场范围的MTF值，当获取的图像在0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％时，此时所述摄像模组的光学防抖系统的参数为所需校正参数，也就是使得图像质量光学影像效果平衡的校正参数。也就是说，在在本发明这个步骤中，将CTF标版作为测试标版，但采用MTF的方法进行测试，从而筛选最佳陀螺增益或霍尔灵敏度。
值得一提的是，在现有的校正方式中，由于只关注影像中心的效果，使得采用光学防抖系统后的图像边缘出现像糊、图像中心和边缘不平衡。而根据本发明的实施例可以看到，一方面，所述测试单元200的所述分析模块202分析图像质量的对象是解像力，也就是实际获得的图像质量；另一方面，考虑不同视场范围，中心区域和边缘区域的图像质量都予以考虑；此外，选取代表性视场区域，如0视场代表中心视场，0.3视场代表中心与边缘的中间视场，0.4视场代表靠近边缘的视场，对代表性视场进行比较，选取中间视场作为一个参考值，而不限于中心视场，同时使得中心和边缘的解像力差值不会超出预定范围，从而从图像整体上考虑影像效果，使得所述摄像模组1的所述光学防抖系统获取的校正参数值使得所述摄像模组摄取的图像整体影像平衡，具有较好的均匀性。
更进一步，通常情况，图像质量考量的范围是0至0.7视场，也就是说，如果在0视场至0.7视场范围的图像的质量，举例地但不限于，解像力，能够平衡时，即整个图像质量影像效果平衡。而根据本发明的一实施例，所述测试单元200的所述分析单元进一步分析0.4至0.7视场范围的图像质量，例如可以加入条件：0.4视场与0.7视场的解像力差值小于40％。也就是说，在校正过程中，所述调试模块201调整所述摄像模组的光学防抖系统的参数值，举例地但不限于，陀螺增益、霍尔灵敏度，所述分析模块202分析所述摄像模组摄取的图像在经过所述摄像模组的光学防抖系统在不同参数下的图像的在不同视场范围的MTF值，当获取的图像在0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％，0.4视场至0.7视场的解像力差值小于40％时，此时所述摄像模组的光学防抖系统的参数为最佳校正参数，也就是使得图像质量光学影 像效果平衡的最佳校正参数。
本领域的技术人员应当理解的是，上述预设条件的视场范围的选取以及解像力差值的选取仅作为优选的举例，而不是限制，对于具有不同视场的摄像模组，可以选取不同视场范围进行比较，而不限于上述示例中选取的值。
在得到所述光学防抖系统的最佳校正参数后，需要进一步评价应用所述校正参数的光学防抖系统，也就是说，进一步反检所述测试单元200的所述分析模块202分析等到的校正参数是否符合要求。参照图3，图5，图9，根据本发明的一优选实施例，所述光学防抖系统的校正系统进一步包括一评价单元300，用于评价所述光学防抖系统，判断所述光学防抖系统是否合格。更具体地，所述评价单元300评价具有所述测试单元200寻求的校正参数的光学防抖系统是否合格。
所述评价单元300通信连接于所述图像采集单元100，用于分析所述摄像模组在静止且关闭光学防抖系统的状态和所述摄像模组1在抖动且开启光学防抖状态下的SFR(Spatial Frequency Response空间频率响应)值的变化量，并且定义当SFR值的变化量在预定范围时，所述摄像模组的所述光学校正系统合格。也就是说，当两种状态下的相同视场的SFR值的差值在预定范围时，所述测试单元200的所述分析模块202得到的校正参数符合要求，使得所述摄像模组1摄取的图像影像效果均衡。
参照图7，图8，根据本发明的一实施例，所述图像采集单元100采集所述摄像模组在所述光学防抖系统关闭的状态下的SFR标版图像，得到在该状态下的不同视场范围的SFR值。进一步所述图像采集单元100获取所述摄像模组在所述光学防抖系统开启的状态下的SFR标版图像，得到在该状态下的不同视场范围的SFR值，进而比较在所述摄像模组在静止且关闭光学防抖系统的状态和所述摄像模组1在抖动且开启光学防抖状态，两种状态下的SFR值，评价所述光学防抖系统的性能。
值得一提是，所述评价单元300评价的对象是在所述测试单元200的所述分析单元202获得最佳校正参数对应的所述光学防抖系统。也就是说，所述评价单元300可以评价所述分析单元200获取的校正参数是否符和评价条件。
值得一提的是，参照图2，在现有技术中的评价方式中，一方面以DB值为评价对象，其计算方式基于图像位移的偏移量，另一方面，在评价时通常以图像 中心区域为评价对象，这些都使得选取的校正参数不佳，经光学防抖系统作用后的图像出现中心和边缘的差异较大。而根据本发明的上述实施例的评价方式，选取不同视场范围的SFR值为评价对象，其以图像质量以及影像效果为基础。
更进一步，参照图8，根据本发明的一优选实施例，所述评价单元300获取所述摄像模组在两种状态下的0视场至0.7视场的SFR值，并且比较相同视场对应的两种状态的差值，判断两种状态的SFR值是否在预定范围，如果在预定范围，则说明所述测试单元200得到的校正参数合格，是最佳校正参数；如果不在预定范围内，则说明所述测试单元200得到的校正参数不合格。特别地，评价条件可以为：0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％。
值得一提的是，在整体视场中，0.6视场是具有代表性的视场，在本发明的一个实施例中，所述评价单元300获取所述摄像模组在0.6视场的SFR值，并且比较两种状态各自对应的SFR值，判断两种状态下的SFR差值是否小于等于40％。
参照图7，图9，是根据本发明的上述优选实施例中的光学防抖系统评价方式的另一实施方式。当所述测试单元200通过MTF测试得到所述光学防抖系统的校正参数后，可以采用DB测试来评价所述校正参数对应的光学防抖系统是否合格。所述测试标版2选用DB标版，分别测试在静止关闭OIS、振动关闭OIS以及振动开启OIS三种状态对应的DB标版图像的宽度值Ax、Bx、Cx，或者Ay、By、Cy，通过公式：DB＝20log((Cx-Ax)/(Bx-Ax))，或者DB＝20log((Cy-Ay)/(By-Ay))，来计算所述校正参数对应的光学防抖系统的DB值，从而根据所述DB评价所述光学防抖系统是否合格。也就是说，在评价所述校正参数对应的所述光学防抖系统时，可以选取DB测试或者SFR测试。
参照图3，图10，根据本发明的上述实施例，所述校正分析系统1000包括一烧录单元400，用于将最佳校正参数烧录至所述摄像模组的光学防抖系统。当所述评价单元300评价合格，说明所述测试单元200得到的校正参数，举例地但不限于，陀螺增益、霍尔灵敏度，是最佳校正参数，所述烧录单元400将合格的所述校正参数反馈烧录至所述摄像模组的光学防抖系统。
当所述评价单元300评价不合格，说明所述测试单元200得到的校正参数不是最佳校正参数，需要重新进行测试，或者说明所述光学防抖系统不合格，需 要退出校正过程。
更进一步，根据本发明的一优选实施例，当烧录完成后，所述烧录单元400判断烧录是否完成，烧录完成，则说明成功完成校正过程，得到合格的摄像模组的光学防抖系统；如果烧录未完成，则说明烧录过程出现错误。
如图11A，11B所示，是根据本发明另一个优选实施例的摄像模组的光学防抖系统的校正设备。所述校正设备包括一校正装置10和一抖动台20，所述校正装置10设置于所述抖动台20上，以得到抖动环境，所述校正装置10用于测试一摄像模组1在摄取一测试标版2时获取的图像信息，以获得所述摄像模组的所述光学防抖系统的校正参数，从而校正所述光学防抖系统。
可以理解的是，所述校正装置10包括一安装部，用于安装所述摄像模组1，以便于所述摄像模组1摄取所述测试标版2的图像。可以理解的是，所述校正装置用于支撑和安装所述摄像模组1，其可以安装于所述抖动台20，也可能与所述抖动台20一体成形。
更进一步，参照图3至图11B，根据本发明的一实施例，所述校正装置10被提供有针对所述摄像模组光学防抖系统的校正分析系统1000，利用所述校正系统测试分析所述摄像模组1摄取的所述测试标版2的图像信息，以得到所述摄像模组的所述光学防抖系统的校正参数，对所述摄像模组的光学防抖系统进行校正。
所述抖动台20具有一打开和关闭状态，当处于打开状态时，所述抖动台抖动，当处于关闭状态时，所述抖动台静止。更进一步，根据本发明的一优选实施例，所述抖动台具有多个抖动档位，当选择不同的档位时，所述抖动台20提供不同的抖动状态。也就是说，当摄像模组1安装于所述抖动台20时，使用者可以根据需求选择不同的抖动状态，以方便完成所述摄像模组的所述光学防抖系统的校正过程。
所述测试标版2可以根据不同的测试需要选择不同类型标版，如CTF标版、SFR标版、DB标版等。更具体地，在筛选所述校正参数时，使用所述CTF标版进行MTF测试，在评价所述光学防抖效能时，采用所述SFR标版或所述DB标版。
所述校正设备包括一光源30，与所述测试标版2相对应地设置，以便于为所述测试标版2提供均匀的光源。
在所述摄像模组的光学防抖系统校正的过程中，所述校正装置10设置于所述抖动台20上，所述摄像模组1安装于所述校正装置10的所述安装部，所述摄像模组1通过所述通信端通信连接于所述校正分析系统。也就是说，所述摄像模组1摄取的图像信息通过所述通信端传递至所述校正分析系统。
根据本发明的一实施例，参照图5，图6，图10，图11A，在寻求所述校正参数时，所述测试标版2选取为CTF标版，采用CTF标版进行MTF测试。所述抖动台20抖动，使得所述摄像模组1处于抖动状态，所述校正分析系统的所述图像采集单元100采集所述摄像模组1处于抖动状态时摄取的CTF标版图像。所述图像采集单元100的所述预调节模块101驱动所述摄像模组的模组马达进行对焦，使得所述摄像模组处于适宜拍摄的状态。当完成对焦后，所述测试单元200的所述调试模块调整所述摄像模组1的所述光学防抖系统的参数，如，陀螺增益、霍尔灵敏度，使得所述图像采集单元100采集的图像具有不同的质量，所述测试单元200的所述分析模块202分析不同质量的图像信息，当图像质量达到预设条件：当获取的图像在0.3视场的MTF解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％时，所述调试模块201停止调整所述摄像模组1的所述光学防抖系统的参数，此时所述摄像模组1的所述光学防抖系统具有的参数为校正参数。
进一步，参照7，图8，图10，图11B根据本发明的一实施例，在评价所述校正参数对应的所述光学防抖系统时，所述测试标版2选取为SFR标版，采用SFR标版进行SFR测试，评价所述测试单元获取的校准参数。所述抖动台20抖动状态，所述摄像模组1光学防抖系统打开状态，所述图像采集单元100采集所述摄像模组处于抖动且光学防抖打开状态时不同视场的SFR值。继续所述抖动台20静止，使得所述摄像模组1处于静止状态，且所述摄像模组1的光学防抖系统关闭，所述图像采集单元100采集所述摄像模组1处于静止且关闭所述光学防抖系统的状态时的摄取的所述SFR标版的图像信息，并且将两个状态的图像信息传递至所述评价单元300。所述评价单元300比较两个状态下不同视场的SFR值的变化，当SFR值的变化量在预定范围时：举例地但不限于，0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％，定义所述摄像模组1的光学防抖系统合格，此时对应的所述校正参数为最佳校正参数。
所述烧录单元400将所述最佳校正参数烧录至所述摄像模组1的所述光学防抖系统，并检测烧录过程是否完成，如果烧录过程完成，则所述摄像模组1的所述光学防抖系统的校正成功。
值得一提的是，为了校正更加准确，将所述校正设备设置于暗室环境，从而在所述摄像模组1在摄取所述测试标版图像时，可以得到清晰的图像。
如图12，是根据本发明的上述优选实施例的摄像模的光学防抖系统的校正方法。所述校正方法包括如下步骤：
(A)采集一摄像模组摄取的图像信息；
(B)依据图像信息，寻求符合预设条件的校正参数；
(C)评价所述校正参数对应的所述光学防抖系统；和
(D)当所述光学防抖系统合格时，烧录所述校正参数至所述光学防抖系统。
在所述步骤(A)中，需要对所述摄像模组进行调节，以使得所述摄像模组处于适宜拍摄的状态，举例地但不限于，调节所述摄像模组的模组马达，使所述摄像模组对焦，从而减少影响图像质量的在所述光学防抖系统之外的其它因素。因此，所述步骤(A)包括步骤：调节所述摄像模组，使得所述摄像模组处于适宜拍摄状态。进一步，所述步骤(A)中的调节步骤可以是：驱动所述摄像模组的模组马达，使所述摄像模组对焦。
值得一提是，为了方便校正过程的进行，所述图像选取为测试标版图像，且根据不同需要，可以选取不同的测试标版，如CTF标版、SFR标版、DB标版。
根据本发明的上述优选实施例，本发明的所述校正方法依据不同视场的图像质量信息，作为选取校正参数的依据，从而使得选取的校正参数基于图像质量，而不是图像的位移信息，另一方面，不同视场的图像质量进行比较，从而使得整体图像的影像效果更佳均匀，比如，使得中心视场和边缘视场的反差减小，减少边缘像糊现象等。在选取校正参数时，需要对所述摄像模组的光学防抖系统的参数，举例地但不限于，陀螺增益、霍尔灵敏度，进行调整，以得到不同质量的图像，同时对不同质量的图像进行分析，判断图像质量是否达到预设条件，且满足预设条件的参数定义为校正参数。因此，所述步骤(B)包括步骤：
(B1)通过平衡中心视场和边缘视场的解像力地调整所述摄像模组的所述光学防抖系统的参数，以得到不同质量的图像。和
(B2)分析不同质量的图像，判断所述图像质量是否满足预设条件，定义 满足预设条件时对应的所述光学防抖系统参数为校正参数。
所述步骤(B1)和所述步骤(B2)是配合工作，也就是说，当调整一次所述摄像模组的光学防抖系统的参数，即得到一种质量状态的图像，同时分析该质量状态下的图像，寻求符合预设条件的校正参数。
在一个实施例中，所述步骤(B1)中调整参数为陀螺增益和霍尔灵敏度。
所述校正方法中，分析图像中的解像力，且平衡不同视场的解像力，使得图像整体的光学影像效果均衡。进一步，在所述步骤(B2)中，获取图像中不同视场的MTF值，以对不同视场的图像质量进行比较，平衡整体的图像质量。因此，所述步骤(B2)包括步骤：获取不同质量的图像中不同视场的MTF值，比较不同视场的MTF值。
进一步，在本发明的一实施例中，所述步骤(B2)中的预设条件为：图像0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％。
在本发明的另一实施例中，所述步骤(B2)的预设条件可以为：图像0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％，0.4与0.7视场的解像力差值不超过40％。也就是说，对图像中主要视场范围0视场至0.7视场整体进行比较。而不是局限于关注中心视场的图像质量。
在现有技术中，通常图像中心区域的DB参数来评价所述光学防抖系统，而DB参数的计算基于图像的位置的偏移，且关注的是图像中心区域，因此出现图像不均衡的现象，而根据本发明的方法，所述步骤(C)中建立以SFR评价方法，使得评价基于图像实际质量，且关注图像不同区域，从而选取具有更优校正效果的校正参数。所述步骤(C)包括步骤：获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的SFR值，判断同视场的两种状态的SFR值的变化量。可以理解的是，在步骤(B)中筛选得到所述校正参数后，也可以采用传统的DB测试方法，在本发明中，优选地采用SFR测试方法。
根据本发明的一个实施例，所述步骤(C)的评价条件为：0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％，定义所述摄像模组1的光学防抖系统合格。也就是说，当满足评价条件时，所述光学防抖系统合格。
如图13，是根据本发明的上述优选实施例的摄像模组的光学防抖系统的评 价方法。所述评价方法包括如下步骤：
(a)获取一摄像模组的分别处于静止且关闭光学防抖的和抖动且开启光学防抖两种状态下，图像不同视场的SFR值；和
(b)判断同一视场两种状态的SFR值的变化量，定义满足评价条件的为合格的光学防抖系统。
根据本发明的一实施例，所述步骤(b)中的评价条件为：0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％。
所述评价方式也可以用于筛选摄像模组，从而选取的摄像模组摄取的图像整体影像效果更加均匀，中心和边缘的反差减小，提升用户的视觉感受。因此，所述方法包括步骤：(c)根据评价结果筛选摄像模组。
值得一提的是，本发明的上述优选实施例的所述摄像模组的光学防抖系统的校正分析系统及其校正方法的有益效果可以通过实验数据得以验证。如图14A为选取三个摄像模组样品(样品一，样品二，样品三)未利用所述摄像模组的光学防抖系统的校正分析系统进行校正时的两个状态(摄像模组抖动状态且开启光学防抖系统状态，摄像模组静止且关闭光学防抖系统状态)的不同视场对应的SFR值的变化，如按现有技术中只关注0视场达到最佳状态。如图14B为选取所述三个摄像模组样品(样品一，样品二，样品三)利用所述摄像模组的光学防抖系统的校正分析系统进行校正时的两个状态(摄像模组抖动状态且开启光学防抖系统状态，摄像模组静止且关闭光学防抖系统状态)并且0.3视场达到最佳并且0视场与0.4视场的解像力数值相差不超过10％时的不同视场对应的SFR值的变化。比较校正前和校正后的两组实验数据，可以明显的看到，利用本发明的所述校正分析系统校正后的所述摄像模组的整体视场的SFR差值小于通过现有技术只针对中心视场进行校正的状态。且选取0.6视场来看，样品一的在图14A的两个状态的SFR差值为77％，而在校正后，样品一在两个状态的0.6视场的SFR差值为35％，说明所述校正分析系统对样品一起到较好的校正作用。
本领域的技术人员应理解，上述描述及附图中所示的本发明的实施例只作为举例而并不限制本发明。本发明的目的已经完整并有效地实现。本发明的功能及结构原理已在实施例中展示和说明，在没有背离所述原理下，本发明的实施方式可以有任何变形或修改。

Claims (27)

  1. 一摄像模组的光学防抖系统的校正方法，其特征在于，包括如下步骤：
    (A)采集一摄像模组摄取的图像信息；
    (B)依据图像信息，寻求符合预设条件的校正参数；
    (C)评价所述校正参数对应的所述光学防抖系统；和
    (D)当所述光学防抖系统符合评价条件时，烧录所述校正参数至所述光学防抖系统。
  2. 根据权利要求1所述的校正方法，其中所述步骤(B)包括步骤：
    (B1)通过平衡中心视场和边缘视场的解像力地调整所述摄像模组的所述光学防抖系统的参数，以得到不同成像质量的图像；和
    (B2)分析所述不同成像质量的图像，判断所述图像质量是否满足预设条件，定义满足预设条件时对应的所述光学防抖系统参数为所述校正参数。
  3. 根据权利要求2所述的校正方法，其中所述步骤(B2)包括步骤：所述摄像模组拍摄CTF标版获取不同视场的MTF值，基于所述不同视场的MTF值判断所述图像质量是否满足预设条件。
  4. 根据权利要求3所述的校正方法，其中通过评价0.35-0.5视场范围中一个或多个视场的MTF值以平衡所述中心视场和所述边缘视场的解像力。
  5. 根据权利要求3所述的校正方法，其中通过评价0.35、0.38、0.4、0.42、0.45或0.48视场的MTF值以平衡所述中心视场和所述边缘视场的解像力。
  6. 根据权利要求4所述的校正方法，其中所述步骤(B2)的预设条件为：图像0.28-0.32视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％。
  7. 根据权利要求6所述的校正方法，其中所述步骤(B2)的预设条件为：图像0.3视场的解像力最佳，且0视场与0.4视场的解像力数值相差不超过10％.
  8. 根据权利要求7所述的校正方法，其中所述步骤(B2)的预设条件还包括：0.4与0.7视场的解像力差值不超过40％。
  9. 根据权利要求2至8中任一所述的校正方法，其中所述步骤(B1)中调整参数为陀螺增益或霍尔灵敏度。
  10. 根据权利要求2至8中任一所述的校正方法，其中所述步骤(C)包括步骤：获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的SFR值，判断同视场的两种状态的SFR值的变化量。
  11. 根据权利要求10所述的校正方法，其中所述步骤(C)的评价条件为：0视场至0.4视场的所述两种状态的SFR差值小于等于10％，且0.4视场至0.7视场的所述两种状态的SFR差值小于等于40％。
  12. 根据权利要求2至8中任一所述的校正方法，其中所述步骤(C)包括步骤：获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的DB值，判断同视场的两种状态的DB值的变化量。
  13. 一摄像模组的光学防抖系统的评价方法，其特征在于，包括如下步骤：
    (a)获取一摄像模组的分别处于静止且关闭光学防抖的和抖动且开启光学防抖两种状态下，图像不同视场的SFR值；和
    (b)判断同一视场两种状态的SFR值的变化量，定义满足预设条件的为合格的光学防抖系统。
  14. 根据权利要求28所述的评价方法，其中所述步骤(b)的评价条件为：0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％。
  15. 一摄像模组的光学防抖系统的校正设备，其特征在于，包括：
    一抖动台，以为待测试的具有光学防抖系统的一摄像模组提供抖动环境；
    一配置有光源的CTF测试标版，用于MTF测试以筛选得到所述光学防抖系 统的预设的校正参数；和
    一校正分析系统，所述校正分析系统可通信地连接于所述摄像模组，以用于测试和分析所述摄像模组在摄取至少一测试标版时获取的图像信息，以得到所述摄像模组的所述光学防抖系统的校正参数。
  16. 根据权利要求15所述的校正设备，其中所述校正分析系统通过平衡中心视场和边缘视场的方式找到所述校正参数。
  17. 根据权利要求16所述的校正设备，其中还包括一SFR测试标版，以在得到所述校正参数后，获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的SFR值，判断同视场的两种状态的SFR值的变化量以评价所述光学防抖系统的防抖性能。
  18. 根据权利要求16所述的校正设备，其中还包括一DB测试标版，以在得到所述校正参数后，获取所述摄像模组在抖动且开启光学防抖和静止且关闭光学防抖，两种状态下的不同视场的DB值，判断同视场的两种状态的DB值的变化量以评价所述光学防抖系统的防抖性能。
  19. 根据权利要求17或18所述的校正设备，其中所述校正分析系统包括：一图像采集单元和一测试单元，所述图像采集单元用于采集一摄像模组摄取的图像信息，所述测试单元可通信连接于所述图像采集单元，检测分析所述图像采集单元采集的所述图像的质量信息，获取所述图像的中心视场和边缘视场的成像质量平衡时的所述光学防抖系统的校正参数。
  20. 根据权利要求19所述的校正设备，其中所述测试单元包括一调试模块和一分析模块，所述调试模块调整所述光学防抖系统的参数，以得到不同质量的图像，所述分析模块分析不同质量的所述图像，当所述图像质量符合预设条件时，定义对应的所述光学防抖系统的参数为所述校正参数。
  21. 根据权利要求20所述的校正设备，其中所述分析模块分析得到0.28-0.32视场范围内的一个或多个视场的MTF解像力最佳，且0视场与0.35-0.5 视场范围中的一个多个视场的MTF解像力数值相差不超过20％时，得到所述校正参数。
  22. 根据权利要求21所述的校正设备，其中所述分析模块分析得到0.3视场的解像力最佳，且0视场与.4视场的解像力数值相差不超过10％时，得到所述校正参数。
  23. 根据权利要求22所述的校正设备，其中所述校正分析系统还包括一评价单元，用于评价所述校正参数对应的所述光学防抖系统是否合格，当所述分析模块判断得到所述校正参数时，所述评价单元通过比较在开启或关闭所述光学防抖系统的SFR或DB值变化量来判断否达到评价条件。
  24. 根据权利要求23所述的校正设备，其中所述校正分析系统中所述评价单元的评价条件为：0视场至0.4视场的SFR差值的小于等于10％，且0.4视场至0.7视场的SFR差值小于等于40％。
  25. 根据权利要求23所述的校正设备，其中所述校正分析系统中所述评价单元的评价条件为：在开启或关闭所述光学防抖系统的两个状态下，0.6视场的SFR差值小于等于40％。
  26. 根据权利要求17或18所述的校正设备，其中校正分析系统还包括一烧录单元，当所述评价单元评价所述光学防抖系统符合评价条件时，所述烧录单元将所述校正参数烧录至所述光学防抖系统。
  27. 所根据权利要求17或18所述的校正设备，其中所述校正设备找到的所述校正参数是陀螺增益或霍尔灵敏度的合适值。
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