JP2015057670A - Imaging apparatus and control method of imaging apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve shake correction effect while ensuring stability of control when detecting and optically correcting motion in an image.SOLUTION: An imaging apparatus detects motion information of an image from a plurality of continuous captured images, optically corrects motion of the image due to a moving amount, carries out motion signal processing for outputting the motion information while controlling a level of a detected moving amount in accordance with the detected moving amount, and calculates a control target value of correction means on the basis of the motion information. The motion signal processing counts change in a polarity of difference between the obtained motion information and motion information detected in the past, counts duration or the number of continuous times from detection of the change in the polarity, and makes an attenuation factor larger as the duration or the number of continuous times from the detection of the counted change in the polarity becomes small to control the level of the moving amount detected by an amplifier.

Description

  The present invention relates to an imaging apparatus having a function of optically correcting blurring of a captured image due to, for example, camera shake.

  In recent years, various blur correction functions for correcting blur of a captured image caused by shake or the like applied to an imaging apparatus such as a video camera have been proposed, and it is further improved by installing such a blur correction function in the imaging apparatus. Can shoot. As a method for detecting shake applied to the imaging apparatus, there are a method using a sensor such as a gyro sensor and a method using an image like a motion vector. Among these, when detecting a motion vector and detecting a shake applied to the imaging apparatus, generally, the amount of motion of the image, that is, the motion of the camera is compared with the amount of movement of the representative point compared to an image one field (or one frame) or more before Amount. However, this motion vector is time-delayed by at least one field due to the influence of the image accumulation time and readout time, the image matching time, and the like before being calculated.

  Since this time delay forms one feedback loop via the optical correction means, the feedback control system may become unstable depending on the time delay and the control frequency, leading to an oscillation state. In order to reduce this oscillation state, it has been studied to derive an oscillation margin of the feedback control system and to insert a low-pass filter corresponding to the margin into the feedback control system. However, when a low-order low-pass filter is simply inserted, the correction system is delayed due to the influence of the phase characteristics of the low-pass filter.

  In addition, when a high-order filter is used, the configuration becomes complicated, or in the case of a filter realized by software, problems such as a long processing time occur. For example, assuming a video format such as NTSC as the imaging method, the motion vector that can be extracted is every 1/60 seconds, that is, this time interval becomes the sampling timing. For this reason, if the high-order filtering described above is performed, the influence of the time delay due to the filtering process appears remarkably, and the control system does not hold.

  Therefore, by feeding back to the optical blur correction means based on information including only a predetermined frequency band or less among the correction information obtained from the image, it is stable without affecting the phase characteristics of the detected remaining correction information. A technique for performing blur correction is disclosed in Patent Document 1.

For example, when considering waveforms 910 and 920 as shown in FIG. 9A, this figure adds blurring of the imaging system with the same amplitude and different frequencies (the waveform 910 has a higher frequency than the waveform 920). It is drawn on the assumption that the same video is input. The waveform 910 and the waveform 920 are sine waves applied to the imaging system, and motion vectors per unit time extracted from them are represented by arrows indicated by, for example, a vector 911 and a vector 921. In this figure, the interval of the scale 902 that divides the time axis into equal intervals indicates the unit time. For example, if processing is performed at a timing that complies with the NTSC standard, the interval (unit time) of the scale 902 is 1/60 second. As can be seen from FIG. 9A, the amount of vector per unit time indicated by the arrows of the vector 911 and the vector 921 is different between the waveform 910 and the waveform 920, for example. Depending on the timing of sampling,
Vector quantity of waveform 910> Vector quantity of waveform 920 (1)
This relationship holds.

  For example, consider the difference in vector quantity for one unit time from the time point indicated by the starting point 901 to the first sampling point. Then, the magnitude of the vector 911 obtained from the waveform 910 having a high frequency is compared with the magnitude of the vector 921 obtained from the waveform 920 having a low frequency as shown by 912 and 922 in FIG. It can be said that the waveform 910 including the vector 911 is larger.

  From this, if the blur of the captured image has the same amplitude, a signal with a higher frequency generally has a larger amount of change per unit time (= motion vector amount), and conversely, a signal with a lower frequency has a unit time. It can be said that the amount of change per hit is small.

  By utilizing this characteristic, an arithmetic unit having an input / output characteristic as shown in FIG. 9B is inserted into the feedback control system, so that a high frequency is removed and an oscillation margin is gained. Specifically, in the case of the arithmetic unit having the input / output characteristics shown in FIG. 9B, what is the input signal (vector amount per unit time) up to the input level of the predetermined value a (931 in FIG. 9)? The input / output characteristics are such that the output is performed without calculation and an input equal output such as 932 is obtained. For an input exceeding a predetermined value a, for example, the output maintains “0” as indicated by 933.

Special registration No. 03621010

However, the conventional blur correction function as shown in Patent Document 1 has the following problems. Consider a case where a waveform as shown by a waveform 310 in FIG. 3A is input to an arithmetic unit having the characteristics as shown in FIG. A waveform 310 is a signal having a small amplitude and a high frequency as compared with the waveform 320 of FIG. Depending on the timing of sampling,
A relationship such that the vector amount of the waveform 310 <the vector amount of the waveform 320 holds. Therefore, an arithmetic unit having input / output characteristics as shown in FIG. 9B cannot attenuate the vector amount of the waveform 310.

  As described above, a motion vector in which a high frequency component with a small amplitude is superimposed, such as that caused by a motion vector detection error, has a sufficient effect to attenuate only the high frequency component that is originally desired to be removed. There was a problem that it could not be obtained. Therefore, when trying to increase the correction gain by the motion vector, the high frequency component is also amplified uniformly, so that the malfunction of the correction system due to noise components such as motion vector detection error becomes noticeable or falls into an oscillation state. There was a problem that it became easier. Therefore, it has been difficult for an imaging apparatus equipped with a conventional blur correction to increase the correction gain based on the motion vector in order to enhance the blur correction effect.

  Accordingly, the present invention has been made to solve the above-described problems, and by attenuating only the high frequency component superimposed on the continuous motion vector, the motion vector is ensured while ensuring the stability of the feedback control system. It is an object to make it possible to increase the correction gain due to. And it aims at providing the imaging device which improved the blurring-correction effect.

In order to solve the above-described problems and achieve the object, an imaging apparatus according to the present invention includes a motion detection unit that detects a motion amount of an image, and an attenuation that attenuates information about a motion vector output from the motion detection unit. Attenuation means for changing the rate, frequency detection means for detecting the frequency of the waveform of the motion vector, and control means for controlling correction means for optically correcting image blur based on information on the motion vector. An imaging device,
The attenuation means increases the attenuation rate when the frequency of the motion vector waveform is higher than a predetermined value compared to when the frequency of the motion vector waveform is lower than the predetermined value .

  According to the present invention, only the high-frequency component superimposed on the continuous motion vector is attenuated, thereby improving the blur correction effect by increasing the correction gain by the motion vector while ensuring the stability of the feedback control system. An imaging device can be provided.

1 is a block diagram showing a configuration of an example of an imaging apparatus applicable to a first embodiment of the present invention. It is a block diagram which shows the structure of an example of the motion vector detection part 120 which concerns on this invention. (A) It is the graph which showed the shake waveform added to the imaging device which concerns on the 1st Example of this invention. (B) It is the graph which showed the motion vector detected by the shake waveform 310 and the motion vector detection part 120 which were added to the imaging device which concerns on the 1st Example of this invention. (C) It is the graph which showed the motion vector detected by the shake waveform 320 and the motion vector detection part 120 which were added to the imaging device which concerns on the 1st Example of this invention. It is a block diagram showing the arithmetic unit in the motion vector processing part 121 which concerns on 1st Example of this invention. It is a flowchart explaining the process of the calculator in the motion vector process part 121 which concerns on 1st Example of this invention. It is a graph explaining the calculator in the motion vector process part 121 which concerns on 1st Example of this invention. It is a block diagram which shows the structure of an example of the imaging device applicable to the 2nd Example of this invention. It is a block diagram showing the calculator in the motion vector process part 721 based on 2nd Example of this invention. (A) It is a graph for demonstrating the imaging device provided with the conventional blurring correction function. (B) It is a graph for demonstrating the calculator in the imaging device provided with the conventional blurring correction function.

(First embodiment)
Hereinafter, a preferred embodiment for carrying out the present invention will be described with reference to the drawings.

  An imaging apparatus 100 in FIG. 1 is a block diagram illustrating a basic configuration of a shake correction system for an imaging apparatus according to the present invention.

  The correction optical system 112 is a shift lens unit, for example. The correction optical system 112 can move the shift lens in a direction perpendicular to the optical axis, and optically reduces the influence of shake applied to the imaging apparatus 100 by moving the correction lens system. The correction optical system 112 and the imaging optical system 130 perform operations such as zooming and focusing, and form a subject image on the imaging unit 118. The imaging unit 118 is, for example, a CMOS sensor or a CCD sensor, converts the subject image formed by the imaging optical system 130 into an electrical signal, and supplies the electrical signal to the signal processing unit 119. The signal processing unit 119 generates a video signal (video signal) compliant with, for example, the NTSC format from the signal obtained by the imaging unit 118 and supplies the generated video signal to the motion vector detection unit 120.

  The motion vector detection unit 120 detects an image motion vector based on the luminance signal included in the video signal generated by the signal processing unit 119 from the captured image information obtained by the imaging unit 118 of the imaging device. The signal processing unit 119 generates a video signal (video signal) compliant with, for example, the NTSC format. The motion vector processing unit 121 converts the motion vector detected by the motion vector detection unit 120 into a driving amount of the correction optical system 112.

  The calculator 123 calculates the difference between the final correction data and the value obtained by digitizing the output of the position detector 114 that detects the position of the correction optical system 112 by the A / D converter 116. The calculation result of the calculator 123 is input to the control filter 108. The pulse width modulation unit 109 converts the output of the control filter 108 into a PWM (Pulse Width Modulation) signal and outputs the signal. The motor driving unit 115 drives the motor 111 for moving the correction optical system 112 based on the PWM output from the pulse width modulation unit 109, and sets the position of the correction optical system 112 in the direction perpendicular to the imaging optical axis. By changing it, the optical axis is decentered, and blurring that occurs in the captured image is optically corrected.

  A configuration example of the motion vector detection unit 120 is shown in FIG. The filter 201 has a purpose of removing a high spatial frequency component or the like of the image signal, and extracts and outputs a spatial frequency component useful for motion vector detection from the video signal supplied from the signal processing unit 119. The binarization unit 202 binarizes the image signal output from the filter 201 at a predetermined level and supplies the binarized image signal to the correlation calculation unit 203 and the storage unit 206. The storage unit 206 stores the previous sample data of the binarization unit 202, and supplies the image signal from the binarization unit 202 to the correlation calculation unit 203 with a delay of one field period. A correlation calculation unit 203 performs a correlation calculation of each output of the binarization unit 202 and the storage unit 206. That is, the correlation calculation unit 203 is supplied with the image signal from the binarization unit 202 (current field image signal) and the image signal from the storage unit 206 (previous field image signal). Then, the correlation calculation unit 203 performs a correlation calculation between the current field and the previous field in units of blocks in accordance with the block matching method described above, and supplies the correlation value that is the calculation result to the vector detection unit 204.

  The vector detection unit 204 detects a block-based motion vector from the correlation value from the correlation calculation unit 203. That is, the previous field block having the minimum correlation value is searched, and the relative shift is detected as a motion vector. The motion vector determination unit 205 determines the entire motion vector from the block-based motion vector from the vector detection unit 204. For example, the median value or average value of the motion vectors in block units is determined as the entire motion vector. The output of the motion vector determination unit 205 is supplied to the motion vector processing unit 121 inside uCOM. With the above-described configuration, the motion vector detection unit 120 calculates the amount of movement (that is, the motion vector) in the vertical direction and the horizontal direction in units of pixels.

  Returning to FIG. 1 again, the motion vector processing unit 121 integrates the motion vector data output from the motion vector detection unit 120 using a low-pass filter (LPF), and calculates the integration result as displacement data of the motion vector. To do. The result is the control target value of the correction optical system 112 and the driving amount.

  Here, as described above, in the feedback control system such as the present invention that extracts the motion amount from the captured image and performs optical correction, the accumulation time of the imaging unit 118 and the processing time of the motion vector detection unit 120 are included. It cannot be ignored. When trying to correct the camera shake frequency in a format compliant with a television system such as NTSC (moving image of 60 fields per second), the correction optical system falls into an oscillation state because an oscillation margin of the feedback loop system cannot be secured sufficiently. It can happen. In addition, when trying to increase the gain of the motion vector processing unit 121 in order to enhance the correction effect by the motion vector, noise components such as motion vector detection error included in the high frequency band are also uniformly amplified, and the correction system malfunctions. Appears prominently.

  In order to solve these problems, the motion vector processing unit 121 attenuates the frequency band that leads to the oscillation and malfunction, thereby improving the stability of the feedback control system.

  For example, consider a waveform 310 and a waveform 320 as shown in FIGS. FIG. 3A assumes that motion amounts with different amplitudes (waveform 310 has a smaller amplitude than waveform 320) and different frequencies (waveform 310 has a higher frequency than waveform 320) are detected. It is drawn. This waveform 320 is a sine wave applied to the imaging system, and indicates a blur correction signal. On the other hand, the waveform 310 has a smaller amplitude and a higher frequency than the waveform 320, and assumes a noise component due to a motion vector detection error or the like. A vector per unit time extracted from them is expressed by arrows indicated by 311 and 321, for example. In this figure, the intervals of the scales 302, 303, and 304 that divide the time axis into equal intervals indicate the unit time. For example, if processing is performed at a timing that complies with the NTSC standard, the unit time is 1/60. Second.

  FIG. 4 is a detailed block diagram of the motion vector processing unit 121. FIG. 6 is a flowchart showing processing in the motion vector processing unit 121. In the motion vector processing unit 121, as represented by vector quantities 313 and 323 indicated by arrows in FIGS. 3B and 3C, the waveform 310 having a high frequency has positive / negative (increase and decrease) vector quantities. The repetition period is shorter than that of the low waveform 320. Using this point, in FIG. 4 of the present invention, the motion vector processing unit 121 removes high frequency components.

  In FIG. 5, step # 501 first indicates the beginning of this flow. This flow is executed at a predetermined cycle, for example, every timing (1/60 second) conforming to the NTSC standard to detect a motion vector. Next, in step # 502, the motion vector processing unit 121 captures the vector amount detected by the motion vector detection unit 120.

  In step # 503, the subtractor 402 calculates the difference between the input vector amount and the vector amount input at the previous timing temporarily stored in the delay unit 401 to obtain the vector change amount. In step # 504, the sign inversion detection unit 403 confirms the sign (polarity) of the vector change amount calculated by the subtractor 402 and the sign of the previous vector change amount. If the output of the sign inversion detection unit 403 is the same code, the process proceeds to step # 505, and if the output is different, the process proceeds to step # 506.

  In step # 505, the code coincidence counting unit 404 increments the counter and proceeds to step # 507. In step # 506, the code coincidence counting unit 404 clears the counter and proceeds to step # 507.

  In step # 507, the vector addition amount is obtained by multiplying the vector change amount input to the variable amplifier 405 by the attenuation rate corresponding to the value of the counter of the sign match count unit 404. Here, the vector change amount input to the variable amplifier 405 is subtracted by the subtracter 408 from the input vector amount and the vector amount output at the previous timing temporarily stored in the delay unit 407. It is a vector change amount obtained by doing.

  In step # 508, the adder 406 adds the vector amount output at the timing of one cycle before temporarily stored in the delay unit 407 to the output of the variable amplifier 405. In step # 509, the calculated vector quantity is output.

  As described above, when it is detected that the sign of the vector change amount is inverted (step # 503), the change amount of the vector amount is reduced (step # 507). On the other hand, for a vector amount that has increased or decreased continuously several times in the same sign direction, the amount of change in the vector amount is gradually increased (step # 506). Thus, that is, how much time is continuously increased or decreased several times in the same code direction (duration), or the number of times the vector amount increases or decreases in the same code direction is counted, and is included in the vector amount It becomes possible to attenuate a frequency component more than a predetermined value.

  The counter value A (603) in FIG. 6A indicates the value of the counter until the attenuation rate is returned to “0”. The attenuation value corresponding to the counter value in step # 507 may be set appropriately to the counter value A according to the sampling frequency and the frequency component to be attenuated. That is, if it is desired to pass up to a higher frequency, the counter value A may be reduced, and if it is desired to attenuate higher frequency components, the counter value A may be set larger. In the present embodiment, the line segment 601 in FIG. 6A is represented by a straight line having a constant slope, but an arbitrary curve may be used. Further, although the attenuation rate when the counter value is 0 is 100%, an arbitrary value may be used.

  FIG. 6B is a diagram showing an output of the motion vector processing unit 121 having the attenuation rate shown in FIG. The counter value B indicates the counter value at step # 507 when the output is 100%, and is the same value as the counter value A in FIG. When the counter value in step # 507 is smaller than the counter value B, the output characteristic shown by the line segment 611 is obtained, that is, the high frequency component is attenuated. Note that the counter value A (603) in FIG. 6A and the counter value A (613) in FIG. 6B are the same value.

  In this embodiment, when the sign inversion detection unit 403 detects the sign inversion of the vector change amount, the counter is immediately cleared (# 506), but the counter value is gradually subtracted. Thus, it is possible to change the frequency characteristics.

  Furthermore, the vector addition amount is uniquely obtained from the vector change amount and the counter value. When the calculated vector addition amount exceeds a predetermined value, the vector addition amount is limited to the predetermined value. Thus, it is possible to attenuate high frequency components. This is effective in removing spike noise caused by a motion vector detection error or the like in a vector amount changing in the same direction.

  In this embodiment, since the change amount of the vector amount to be output is controlled according to the change amount of the vector amount, an offset may occur in the output when the vector addition amount is biased. In this case, it is also effective to return the output of the variable amplifier 405 to “0” when the sign inversion detection unit 403 detects the inversion of the sign of the vector quantity.

(Second embodiment)
FIG. 7 shows an embodiment in which the present invention is applied to a video camera of a type that detects a shake even by a shake detection sensor such as a gyro sensor, and a motion vector is detected in combination with an angular velocity sensor. FIG. 8 is a detailed block diagram of the motion vector processing unit 721 of the imaging apparatus (imaging apparatus of FIG. 7) in the present embodiment. In the figure, the same components as those in the first embodiment shown in FIG. 1 are denoted by the same reference numerals, and detailed description thereof is omitted.

  In the figure, the difference from the first embodiment is that the motion vector processing unit 721 corrects the output of the vector obtained from the motion vector detection unit 120 based on the determination result of the pan / tilt determination unit 722. I do. Furthermore, it is to add to the shake signal obtained from the shake detection sensor 701 used for camera shake correction.

  The shake detection sensor 701 includes, for example, a vibration gyro angular velocity sensor, detects shake applied to the apparatus itself due to camera shake and the like, and supplies the signal to the DC cut filter 702. The DC cut filter 702 blocks the direct current (DC) component included in the shake signal from the shake detection sensor 701 and supplies only the AC component of the shake signal, that is, the vibration component, to the amplifier 703. As the DC cut filter 702, a high pass filter (HPF) that cuts off an input signal in a predetermined frequency band may be used. The amplifier (amplifier) 703 amplifies the signal from the DC cut filter 702 to an optimum sensitivity and supplies the amplified signal to the A / D converter 704. The A / D converter 704 digitizes the signal from the amplifier 703 and supplies it to the HPF 705 inside the uCOM as angular velocity data.

  The microcomputer uCOM in the present embodiment includes an HPF 705, an integrator 706, a control filter 108, a pulse width modulation unit 109, a motion vector detection unit 120, a motion vector processing unit 721, and a pan / tilt determination unit 722. Is done.

  Inside uCOM, an HPF 705 to which the output of the A / D converter 704 is supplied and an integrator 706 to which the output of the HPF 705 is supplied are provided. Further, a motion vector processing unit 721 to which the output of the motion vector detection unit 120 is supplied is provided. Further, a pan / tilt determination unit 722 to which outputs of the A / D converter 704 and the integrator 706 are supplied is provided. Then, the calculations of the HPF 705, the integrator 706, and the motion vector processing unit 721 are changed according to the determination result of the pan / tilt determination unit 722.

  The HPF 705 has a function capable of varying its characteristics in an arbitrary frequency band, and cuts and outputs a low frequency component included in a digital shake signal (angular velocity data) output from the A / D converter 704. To do. The integrator 706 has a function capable of varying its characteristics in an arbitrary frequency band, integrates the angular velocity data output from the HPF 705, and outputs the integration result as angular displacement data. The focal length correction unit 707 acquires current zoom position information from the zoom encoder 717 that detects the zoom position of the variable magnification optical system 713 that performs zooming and focusing operations, and calculates the focal length from the information. Then, gyro system correction data (correction amount), which is the driving amount of the correction optical system 112, is calculated from the focal length information and the above-described angle shift data.

  In the shake detection sensor 701 using a vibration gyro or the like, the angular velocity detection characteristics deteriorate at a low frequency of 1 Hz or less. Therefore, in this low frequency band, the influence of the correction error becomes significant, causing blurring of the low frequency, resulting in image quality degradation. Therefore, in addition to the angular velocity detection, a portion that detects the blur remaining in the captured image, that is, the motion vector detecting unit 120 detects the blur remaining amount in the low frequency band, and corrects this to correct as shown below. Perform processing to improve performance.

  The motion vector detection unit 120 detects an image motion vector based on the luminance signal included in the video signal generated by the signal processing unit 119 from the captured image information obtained by the imaging unit 118 of the imaging device 700. The signal processing unit 119 generates a video signal (video signal) compliant with, for example, the NTSC format. The motion vector processing unit 721 converts the motion vector detected by the motion vector detection unit 120 into vector system correction data (motion information) that is a driving amount of the correction optical system 112.

  The vector system correction data is a signal for correcting a blur remaining in a low frequency band. Data obtained by adding the vector system correction data and the above-described gyro system correction data performs blur correction of the entire frequency band from the low frequency band to the high frequency band. Data).

  The pan / tilt determination unit 722 determines panning / tilting based on the angular velocity data output from the A / D converter 704 and the angular displacement data output from the integrator 706 to perform panning control. That is, if the angular velocity data is equal to or greater than a predetermined threshold value, or if the angular displacement data (integration result) is equal to or greater than the predetermined threshold value even if the angular velocity data is less than the predetermined threshold value, the panning state or the tilting state is determined. , Perform panning control. In the panning control, first, the cutoff frequency of the HPF 705 is shifted to the high frequency side. As a result, the blur correction does not respond to the low frequency range. Further, the value of the time constant used for the integration calculation in the integrator 706 is shifted in the direction of shortening. As a result, the shake correction position is gradually centered to the center of the moving range, and the value of the angular displacement data output from the integrator 706 gradually approaches the reference value (a value that can be taken in the absence of shake). Further, in order to shift the signal input to the motion vector processing unit 721 in the direction of decreasing, the gain when calculating the vector system correction data from the motion vector detection using the amplifier 810 of FIG. To do.

  On the other hand, if not, it is determined that the panning state or the tilting state is not set, the cutoff frequency of the HPF 705 is shifted to the low frequency side, and the value of the time constant used for the integration operation in the integrator 706 becomes longer. Shift in direction. Further, the signal input to the motion vector processing unit 721 is restored (made larger than when it is determined to be a panning state), and the gain for calculating vector system correction data from motion vector detection is increased. As a result, the low-frequency cutoff frequency of the HPF 705, the value of the time constant used for the integration operation in the integrator 706, and the vector system correction data calculation gain of the motion vector processing unit 721 using the amplifier 810 of FIG. Returning to the state, the panning control is cancelled.

  In this embodiment, the gain input to the motion vector processing unit 721 is reduced or zero by the amplifier 810, but the gain input to the motion vector processing unit 721 during panning control is reduced or zero. If it becomes, another method may be used. For example, the gain input to the motion vector processing unit 721 may be cut off by a switch, or the gain may be reduced or zeroed when the output from the motion vector detection unit 120 is input to μCOM. .

  The vector detected by the motion vector detection unit 120 is processed by the motion vector processing unit 721 including the above computing unit, and the correction optical system 112 is driven. Note that although the correction optical system 112 (for example, a shift lens) has been described as an example of the blur correction unit, the present invention is not limited to this. For example, a variable apex angle prism (VAP), a method of driving the image sensor in a direction perpendicular to the optical axis, or the like may be used.

  As described above, it is possible to attenuate only the high-frequency component superimposed on the motion vector by controlling the current motion amount according to the difference between the motion amounts detected in the past. This attenuates the frequency band that includes noise components such as motion vector detection errors and the frequency band that can cause oscillation, thereby increasing the correction gain while ensuring the stability of the feedback control system and improving the blur correction effect. It is possible to provide an image pickup apparatus.

  112 Correction optical system

Claims (2)

Motion detection means for detecting the amount of motion of an image, attenuation means for changing an attenuation rate for attenuating information about the motion vector output from the motion detection means, and frequency detection means for detecting the frequency of the waveform of the motion vector A control unit that controls a correction unit that optically corrects image blur based on information on the motion vector,
The imaging means characterized in that the attenuation means increases the attenuation rate when the frequency of the motion vector waveform is higher than a predetermined value compared to when the frequency of the motion vector waveform is lower than the predetermined value. apparatus. A correction step for optically correcting image blur based on information on a motion vector output from a motion detection means for detecting a motion amount of an image; an attenuation step for changing an attenuation rate for attenuating information on the motion vector; A frequency detection step of detecting a frequency of a waveform of the motion vector, and an imaging method comprising:
In the attenuating step, when the frequency of the motion vector waveform is higher than a predetermined value, the attenuation rate is increased as compared with the case where the frequency of the motion vector waveform is lower than the predetermined value. Method.

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