TW202007138A - Imaging device - Google Patents

Abstract

Provided is an imaging device capable of further improving vibration-damping performance in optical blur correction. This imaging device 1 comprises: an imaging element 3 that captures an image of a subject by an optical system and outputs a signal; an image data generation unit 40 that generates image data on the basis of the signal; and a motion vector calculation unit 41 that detects the subject detected by the first image data generated by the image data generation unit 40 and calculates a motion vector for the subject, detecting said subject in second image data captured at a different time from the first image data and generated by the image data generation unit and detecting said subject in a range set on the basis of the focal distance of the optical system.

Description

Photographic installation

The invention relates to a photographing device.

For example, the following technique is proposed: by detecting the motion vector information of the image from the captured image and feeding the motion vector information back to the operation of the target driving position of the shake correction lens, the anti-vibration performance of the optical shake correction is improved (refer to Patent Literature 1). [Prior Technical Literature] [Patent Literature]

[Patent Document 1] Japanese Patent Laid-Open No. 10-145662

The photographing device of the present invention is configured to include a photographing element that photographs an image of a subject obtained by an optical system and outputs a signal; an image data generating section that generates image data based on the signal; and The motion vector calculation unit detects the subject detected in the first image data in the second image data within a range set based on the focal distance of the optical system, and calculates the image of the subject For the motion vector, the first image data is generated by the image data generation unit, and the second image data is captured at a different time from the first image data and generated by the image data generation unit.

Hereinafter, embodiments of the present invention will be described with reference to drawings and the like. FIG. 1 schematically shows a cross-sectional view of the camera 1. As shown in FIG. 1, in this embodiment, a three-dimensional orthogonal coordinate system is set. Specifically, the axis parallel to the optical axis of the lens barrel 1B is defined as the Z axis (horizontal direction of the paper), and the axis crossing the Z axis in a plane perpendicular to the Z axis is defined as the X axis (depth direction of the paper) , The axis perpendicular to the Z axis and the X axis in the plane perpendicular to the Z axis is set as the Y axis (the vertical direction of the paper). Moreover, let the rotation direction centered on the Z axis be the roll direction, the rotation direction centered on the Y axis the yaw direction, and the rotation direction centered on the X axis the pitch ( Pitch) direction.

(Camera 1) The camera 1 is a type in which the camera body 1A and the lens barrel 1B are integrated, but it is not limited to this, and the lens barrel may be a camera that can be detachably attached to the camera body. In addition, in the embodiment, the camera 1 has a structure that does not include a mirror inside, but it is not limited to this, and may be a camera having a mirror.

(Camera body 1A) The camera body 1A includes a photographing sensor 3, a recording medium 13, a memory unit 14, an operation unit 15, a release switch 17, a rear liquid crystal 18, a shutter 20, and a CPU 2. Furthermore, the CPU 2 includes the shake correction device 100 described below.

The photo sensor 3 is an element which is installed on a predetermined focal plane of the photo optical system and generates photoelectric conversion by subject light incident through the photo optical systems 4, 5, 6 of the lens barrel 1B, such as a CCD, CMOS and other components. Based on the signal output from the photo sensor 3, image data is generated in the following image generating section 40 included in the CPU 2.

The photographic sensor 3 has pixels for focus detection, and the CPU 2 uses pixel output data from the pixels for focus detection to perform focus detection processing using a well-known pupil division type phase difference method. Alternatively, it is also possible to use the data output from the photo sensor 3 and use a well-known contrast method to perform focus detection.

The recording medium 13 is a medium for recording the captured image data, and uses an SD card, a CF card, etc.

The memory unit 14 is, for example, a memory such as EEPROM. The memory section 14 stores the information of the search range corresponding to the zoom positions (focal distance) of the photographing optical systems 4, 5, and 6 as described below.

The operation unit 15 can perform a zoom operation, and the zoom position of the photographing optical system can be changed by performing a zoom operation through the operation unit 15.

The release switch 17 is a member for photographing operation of the camera 1 and a switch for operating timing of shutter drive and the like.

The back liquid crystal 18 is a color liquid crystal display that is installed on the back of the camera body 1A and displays the captured subject image (reconstructed image, live view image) or operation related information (menu).

The shutter 20 moves the shutter curtain according to the photography instruction by the release switch 17 or the like, and controls the subject light incident on the photography sensor 3.

The CPU 2 is a central processing device that performs overall control of the camera 1 and includes a shake correction device 100 described below.

(Lens barrel 1B) Next, the lens barrel 1B will be described. The lens barrel 1B includes a zoom lens 4, a focus lens 5, a shake correction lens 6, a zoom lens drive mechanism 7, a focus lens drive mechanism 8, a shake correction lens drive mechanism 9, an aperture 10, an aperture drive mechanism 11, an angular velocity sensor 12 (Shake detection sensor) and shake correction lens position detection section 21.

The zoom lens 4 is a lens group that is moved in the optical axis direction by being driven by the zoom lens driving mechanism 7 to change the zoom position (focal distance). When the photographer performs a zoom operation through the operation unit 15, the following lens drive amount calculation unit 39 included in the CPU 2 calculates the drive amount of the zoom lens 4 and changes the zoom position of the zoom lens 4 through the zoom lens drive mechanism 7.

The focus lens 5 is a lens group that is driven by the focus lens drive mechanism 8 and moves in the optical axis direction to bring the focus into focus.

The shake correction lens 6 is a lens group that is optically shake-corrected and driven by a shake correction lens drive mechanism 9 such as a VCM (voice coil motor) and is movable on a plane perpendicular to the optical axis.

The iris 10 is driven by the iris driving mechanism 11 and controls the light quantity of the subject light passing through the photographing optical system.

The angular velocity sensor 12 is a sensor that detects the angular velocity of the hand shake (jitter output signal) generated in the lens barrel 1B, and is a vibratory gyroscope that detects the angular velocity around the X axis (pitch) and Y axis (yaw), etc. Sensor. Furthermore, the angular velocity sensor 12 can further detect the angular velocity around the Z axis (rolling). The angular velocity sensor 12 is also connected to the following motion vector computing unit 41 included in the CPU 2, and the angular velocity detected by the angular velocity sensor 12 is sent to the motion vector computing unit 41.

(Shake correction device 100) FIG. 2 is a block diagram showing the shake correction device 100 included in the camera 1. The shake correction device 100 includes an amplification unit 31, a first A/D conversion unit 32, a second A/D conversion unit 33, a reference value calculation unit 34, a subtraction unit 43, a target position calculation unit 36, a center bias calculation unit 37, and a reference value The correction unit 50 and the lens driving amount calculation unit 39. The shake correction device 100 further includes an image generation unit 40, a sensor control unit 46, and a motion vector calculation unit 41.

The amplifier 31 amplifies the output of the angular velocity sensor 12.

The first A/D converter 32 performs A/D conversion on the output of the amplifier 31.

The reference value calculation unit 34 calculates the reference value (first reference value, reference value before correction) of the vibration detection signal (output of the first A/D conversion unit 32) obtained from the angular velocity sensor 12. The reference value of the angular velocity refers to, for example, a vibration detection signal output from the angular velocity sensor 12 when the camera 1 (camera body 1A, lens barrel 1B) is at rest. The reference value calculation unit 34 can obtain a reference value based on, for example, the output of a low-pass filter whose output from the angular velocity sensor 12 reduces a specific high-frequency component.

The subtraction unit 43 subtracts the reference value (the second reference value, the corrected reference value) obtained by correcting the first reference value calculated by the reference value calculation unit 34 from the output of the first A/D conversion unit 32.

The target position calculation unit 36 calculates the target position of the shake correction lens 6 based on the output of the angular velocity sensor 12 after subtracting the reference value from the subtraction unit 43.

Based on the target position of the shake correction lens 6 calculated by the target position calculation section 36, the center bias calculation unit 37 calculates a centripetal force for moving the shake correction lens 6 toward the center of its movable range as a bias amount. Then, the control position of the shake correction lens 6 is calculated by subtracting the calculated amount of bias from the target position of the shake correction lens 6. By performing the centering bias processing in this way, it is possible to effectively prevent the shake correction lens 6 from colliding with the hard restricting body, thereby improving the beauty of the photographic image.

The lens driving amount calculation unit 39 performs calculation of the driving amount of the lenses of the zoom lens 4 and the shake correction lens 6. The lens drive amount calculation unit 39 calculates the drive amount of the shake correction lens drive mechanism 9 based on the target position from the target position calculation unit 36 and the current position of the shake correction lens 6. The current position of the shake correction lens 6 is based on The shake correction lens position detection unit 21 detects and obtains the value obtained by A/D conversion by the second A/D conversion unit 33. When a photographer performs a zoom operation using the operation unit 15, the lens drive amount calculation unit 39 instructs the zoom lens drive mechanism 7 to drive the zoom lens 4.

(Sensor control unit 46) The sensor control unit 46 sets the sensor rate of the photographing sensor 3 based on the brightness of the subject obtained by photometry. For example, when the subject is dark, the exposure time for obtaining an image becomes longer, so the sensor rate is set to 15 fps lower. As it becomes brighter, the exposure time to obtain one image becomes shorter, so the sensor rate is set higher at 30, 60, 120 fps.

(Image generation section 40) The image generating unit 40 performs noise processing or A/D conversion on the image signal acquired by the photo sensor 3 to create image data for recording recorded in the recording medium 13 in the form of a still image.

(Motion vector calculation unit 41) The motion vector calculation unit 41 calculates the motion vector information representing the motion (movement direction, motion amount) of the image based on the processing image data generated by the image generation unit 40. The motion vector information is represented by the size of the symbols with X-axis direction, Y-axis direction, and rolling direction. Furthermore, the motion vector information also includes the detection delay time and so on.

(Calculation method of motion vector) The motion vector calculation unit 41 compares the positions of the reference parts included in the two or more image data captured by the photography sensor 3, and obtains the motion vector information based on the motion direction and the amount of motion of the reference parts. In addition to brightness information, motion vector information can also be obtained by pattern matching of the image. Furthermore, the motion vector information can be detected from one image, it can also be calculated from two separate image data, or it can be calculated from three images.

(Specific example of motion vector calculation method) In the present embodiment, the motion vector calculation unit 41 refers to a partial region of the first image data (a specific part in the screen, hereinafter referred to as a reference unit) and the second image data generated after the first image data The two parts are compared, and the motion vector information is obtained based on the movement amount of the reference part of the two image data. An example of the method for obtaining this is shown below. FIG. 3 is a diagram illustrating an example of a method of obtaining motion vector information.

First, in the first image data, the reference part Q is selected. The reference part Q is, for example, a characteristic high-brightness part, etc. The following describes the case where the reference part in one image data is one, but the image data can also be divided into a plurality of blocks, with the block as Unit selection reference department. The reference part Q is composed of one or more pixels. Let the position of the reference portion Q in the first image data be the position P1 before the movement.

Then, in the second image data, a specific range as indicated by a dotted line in the figure, centered on the pre-movement position P1 of the reference portion Q of the first image data, is set as the search range. Within this search range, a part having a high correlation with the reference part Q is searched, and the reference part Q in the second image data is selected in the same way as the first image data. The position of the reference part Q after the movement with the highest correlation is set to the position P2 after the movement. The positional deviation between the pre-movement position P1 and the post-movement position P2 of the reference part Q is detected as the motion vector MV. The motion vector information refers to the information including the magnitude and direction of the position shift.

In this embodiment, the search range varies depending on the zoom position of the photographing optical system (zoom lens). The search range is determined as follows.

(Get zoom position information) When the zoom operation is performed by the operation unit 15, the lens drive amount calculation unit 39 calculates the drive amount of the zoom lens 4 to drive the zoom lens drive mechanism 7. At the same time, the motion vector calculation unit 41 receives the zoom position of the photographing optical system. Furthermore, in the case where the lens barrel 1B is provided with a position detection section of the zoom lens, the motion vector calculation section 41 may also receive zoom position information from the position detection section of the zoom lens.

(Refer to the data of the memory department 14) The zoom position is divided into, for example, the telephoto area of the lens barrel 1B from the fixed area at the telephoto (telephoto) end, the wide-angle area from the fixed area at the wide-angle (wide-angle) end, and the intermediate area between the telephoto area and the wide-angle area 3 areas. As shown in Table 1 below, when the zoom position is the wide-angle region, the middle region, and the telephoto region, different search ranges are stored in the memory unit 14.

運動向量運算部41自記憶部14獲取與當前之攝影光學系統之變焦位置對應之運動向量搜索範圍。[Table 1]

The motion vector calculation unit 41 acquires the motion vector search range corresponding to the current zoom position of the photographing optical system from the memory unit 14.

(Operation of motion vector) The motion vector computing unit 41 searches the reference unit Q within the search range acquired by the memory unit 14 centered on the position P1 in the second image data, and the position P1 corresponds to the position of the reference unit Q in the first image data . Then, the motion vector MV is obtained based on the offset between the position P1 of the reference portion Q in the first image data and the position P2 of the reference portion in the second image data.

(Wide angle area) When the zoom position is a wide-angle area, the search range of the motion vector is 22×22 pixels. The motion vector calculation unit 41 searches the reference unit Q within the search range of 22×22 pixels centered on the position P1 in the second image data. Generally, in the case of a wide-angle area, the movement of the subject image on the screen due to hand shake is less than that of the telephoto area. Therefore, even if the hand shake is corrected, there are fewer residual motion vectors. That is, in the wide-angle area, the positional deviation of the reference portion Q between the first image data and the second image data is smaller than the telephoto side. Therefore, it is not necessary to expand the search range in vain. On the contrary, if the search range is expanded, the processing time and calculation load will increase. In the embodiment, by narrowing the search range of the wide-angle area compared to other areas, the processing time and calculation load can be reduced compared to other areas.

(Middle area) When the zoom position is in the middle area, the search range of the motion vector is 38×38 pixels. The motion vector calculation unit 41 searches the reference unit Q within the search range of 38×38 pixels centered on the position P1 in the second image data.

(Telephoto area) When the zoom position is the telephoto area, the search range of the motion vector is 64×64 pixels. The motion vector calculation unit 41 searches the reference unit Q within the 64×64 pixel search range centered on the position P1 in the second image data. For the above reasons, in general, in the telephoto region, the positional deviation of the reference portion Q between the first image data and the second image data is larger than the wide-angle side. Therefore, if the search range is narrow, the reference part Q moves out of the search range in the second image data, and the reference part Q may not be detected. However, in this embodiment, the search range of the telephoto region is wider than the wide-angle region, and therefore, the possibility that the reference unit Q is outside the search range in the second image data and the reference unit Q cannot be detected is reduced.

Furthermore, the first image data and the second image data can be divided into a plurality of blocks, and the range of the blocks is set as the search range, between the first image data and the second image data, Search the reference part in the block. In this case, in the wide-angle area and the longer focal area, the number of divided blocks is increased to shrink one block, thereby narrowing the search range. In the telephoto area, the number of divided blocks is reduced to increase one block, thereby expanding the search range.

In some cases, the first image data and the second image data are divided into a plurality of blocks and the range smaller than the block is set as the search range to shorten the processing time. In this case, as the telephoto side increases, the search range is closer to the block frame, thereby expanding the search range.

(Motion vector operation timing) FIG. 4 is a diagram illustrating the operation timing of the motion vector in the motion vector calculation unit 41. The motion vector calculation unit 41 is based on the n-1th image data (the first image data) and the nth image data taken after the time after the time when the n-1th image data is acquired ( (2nd image data), operation on motion vector information. For example, when the self-photographic sensor 3 transmits image data at 30 fps, motion vector information is obtained every 33 ms.

Here, Time t1 is the time to start the exposure of the n-1th image data. Time t2 is the time between the moment when the exposure of the n-1th image data starts and the moment when the exposure ends. Time t4 is the time to start the exposure of the n-th image data. Time t5 is the time between the moment when the exposure of the n-th image data starts and the moment when the exposure ends. Time t6 is the time to obtain the motion vector information calculated from the n-1th image data and the nth image data, but it is considered that the generation time of the motion vector information is in the middle between t5 and t2, that is, t3 is more appropriate. Between the moment when the motion vector information is obtained and the moment when the motion vector is generated, a detection delay time of t6-t3 is generated.

(Reference value correction unit 50) The reference value correction unit 50 includes a center bias removal unit 38, a reference value correction amount calculation unit 35, and a reference value subtraction and addition unit 42.

In the following description, the correction of the reference value in the X direction will be described. The motion vector information X direction information is set as motion vector information X. The correction of the reference value in the Y direction is also the same as in the X direction. In this embodiment, the information of the rolling direction of the motion vector information is not received. Furthermore, it can also receive the information of the rolling direction of the motion vector information.

(Center bias removal section 38) The center bias removal unit 38 subtracts the bias correction amount X from the motion vector information X, which is calculated based on the center bias calculation unit 37 (subtracted from the target position of the shake correction lens 6) Calculated by the amount of bias of the X component.

(Reference value correction amount calculation unit 35) The reference value correction amount calculation unit 35 performs the reference value correction amount on the basis of the motion vector information X obtained by removing the bias correction amount X in the center bias removal unit 38, based on the output value of the angular velocity sensor around the Y axis (yaw) direction Operation. In this embodiment, only the positive and negative of the motion vector information X are determined. When the motion vector information X is confirmed in the negative direction, the correction amount is a positive fixed amount, and when the motion vector information is confirmed in the positive direction, the correction amount is negative Fixed amount.

(Base value subtraction and addition section 42) The reference value subtraction addition unit 42 corrects the first reference value by the correction amount calculated by the reference value calculation unit 35 to obtain the corrected second reference value.

(Operation of shake correction device 100) FIG. 5 is a flowchart showing the operation flow of the shake correction device 100. Step 001: After the power of the camera 1 is turned on, the shake correction device 100 starts an operation for optical vibration prevention. According to the camera, when the release switch 17 is pressed halfway, the shake correction device 100 starts an operation for optical vibration prevention.

Step 002: The shake correction device 100 amplifies the output of the angular velocity sensor 12 by the amplifying unit 31, and then performs A/D conversion by the first A/D conversion unit 32.

Step 003: The shake correction device 100 calculates a reference value (equivalent to zero deg/s) of the calculated angular velocity based on the A/D converted signal of the output of the angular velocity sensor 12 in the reference value calculation unit 34 . The reference value of the angular velocity changes according to the temperature characteristic or the drift characteristic immediately after the start, etc. Therefore, for example, the output of the angular velocity sensor 12 at the time of factory shipment at rest cannot be used as the reference value.

As a method of calculating the reference value, a method of calculating a moving average at a specific time or a method of calculating by LPF processing is known. In this embodiment, reference value calculation by LPF processing is used.

FIG. 6 is a diagram showing the reference value calculation unit 34 (HPF). The cut-off frequency fc of the LPF34 is usually set to a lower frequency around 0.1 [Hz]. The reason is that the frequency of about 1 to 10 [Hz] in the hand shake is dominant. If it is fc of 0.1 [Hz], the influence caused by the hand jitter component is small, and good jitter correction can be performed.

However, in actual shooting, there may also be errors in the reference value calculation result due to low-frequency motion such as fine adjustment of the composition (the level of camera translation cannot be detected). In addition, since fc is low (the time constant is large), there is a problem that it takes time before converging to the true value when the error at one end becomes large. The present embodiment corrects the error of the reference value.

Step 004: The shake correction device 100 proceeds to S005 when the motion vector information is updated (Yes in S004), and proceeds to S006 when the motion vector information is not updated (No in S004).

Step 005: When the motion vector information is updated, the shake correction device 100 corrects the reference value in the reference value correction unit 50. The reference value correction procedure will be described below. In addition, the motion vector information cannot be obtained during the exposure, so this step is implemented immediately before the exposure.

Step 006: The shake correction device 100 in the target position calculation unit 36, based on the output of the angular velocity sensor 12 after the reference value correction, the target position calculation unit 36 corrects the lens characteristics based on the focus distance, the subject distance, the photographic magnification, and the shake Information, calculate the target position of the shake correction lens 6.

Step 007: The shake correction device 100 performs center bias processing to prevent the shake correction lens 6 from reaching the movable end. Regarding the method of center bias processing, there are various methods such as a method of setting the amount of bias based on the target position information, HPF processing, incomplete integration processing (in S006), but the method is not limited here.

Step 008: The shake correction device 100 in the lens driving amount calculation unit 39 calculates the lens driving amount based on the difference between the target position information having considered the center bias component and the shake correction lens position information.

Step 009: The shake correction device 100 drives the shake correction lens 6 to the target position through the shake correction lens driving mechanism 9 and returns to S002.

(Steps to modify the reference value) FIG. 7 is a detailed flowchart of the reference value correction step 005 of FIG. 5. Step 101: The shake correction device 100 adds up all the received motion vector information and proceeds to step 102. Step 102: The shake correction device 100 converts the center bias component calculated in step 007 to the same scale as the motion vector information in the center bias removal unit 38, and proceeds to step 103. The conversion method is based on the resolution information of focus distance, subject distance, photographic magnification, and motion vector information. Bias_MV=Bias_θ*f1+β/MV_pitch Bias_MV: center bias component (same scale as motion vector information) Bias_θ: center bias component (angle) f: focal distance β: photography magnification MV_pitch: motion vector pitch size

In addition, the motion vector information generates a delay time before being detected, so it is preferable that the center bias component also has the same delay time as the motion vector information. For example, when there is a delay time of 3 frames at 30 [fps], the delay is about 100 [ms]. Therefore, by using the bias information before 100 [ms], the center bias component contained in the motion vector information can be calculated more accurately.

Step 103: The shake correction device 100 subtracts the center bias component calculated in step 102 from the motion vector information in the center bias removal unit 38, and proceeds to step 104. In this way, motion vector information based on the reference value error can be obtained.

Step 104: The shake correction device 100 obtains the difference between the latest motion vector information (n) and the motion vector information (n-1) before 1 frame: MV_diff, and proceeds to step 105.

Step 105: The shake correction device 100 sets the amount of correction of the reference value based on MV_diff in the reference value correction amount calculation unit 35. The reference value sets the correction amount based on the following considerations, and proceeds to step 106. MV_diff>0: ω0_comp=-ω0_comp_def MV_diff<0: ω0_comp=＋ω0_comp_def MV_diff=0: ω0_comp=0 ω0_comp: reference value correction amount ω0_comp_def: reference value correction constant

Step 106: The shake correction device 100 subtracts the ω0_comp calculated in step 105 from the first reference value calculated in S107 in the reference value subtraction and addition unit 42 to obtain the corrected second reference value.

Fig. 8(a) is a graph showing the second reference value in the deflection direction. The dotted line in the figure indicates the first reference value when the correction of this embodiment is not performed, and the solid line in the figure indicates the second reference value when the correction is performed by this embodiment.

Figure 8(b) is a graph showing the direction of motion vector information in the X direction. For example, when the motion vector information is in the positive direction as at time t1 in FIG. 8(b), the first reference value is corrected to be negative as shown in (a). After that, before time t3, the second reference value changes according to the value calculated by the reference value calculation unit 34. At time t3, when the motion vector information is confirmed in the positive direction, the first reference value is also corrected to be negative. In the present embodiment, the correction amount at this time is fixed at time t1. Thereafter, between the time when the motion vector information is confirmed and the time, the first reference value also changes according to the value calculated by the reference value calculation unit 34 to become the corrected second reference value. In addition, when the motion vector information is confirmed in the positive direction, the first reference value is corrected to a fixed amount negative. Also, when the motion vector information is confirmed in the negative direction as at time t22 or t25 in the figure, the first reference value is corrected to a fixed amount positive.

(Change pattern) It is not limited to the embodiment described above, and various changes or modifications as shown below can be made, and the like are also within the scope of the present invention.

(1) When the so-called subject shake caused by the movement of the subject rather than the user's hand shake can be detected from the captured image data, the search range can also be changed according to the size of the subject shake . In this case, as the subject shake becomes larger, the search range is expanded.

(2) In the embodiment, the correction amount of the reference value is a positive or negative fixed amount, but the size can also be changed according to the zoom position. In addition, there is a case where the auto-focusing operation is performed by the half-press of the release switch 17 to stop the calculation of the motion vector for a fixed time. In this case, the motion vector correction amount can also be increased after the motion vector calculation is stopped for a fixed time and then restarted.

(3) The present embodiment is a structure in which the lens barrel 1B includes the angular velocity sensor 12, but it is not limited to this, and the angular velocity sensor 12 may be provided in the camera body 1A.

(4) In addition, it is also possible to provide an acceleration sensor instead of an angular velocity sensor in the camera body 1A or the lens barrel 1B.

(5) In the above embodiment, based on the target position of the shake correction lens calculated by the target position calculation unit, the control using the centripetal force to move the shake correction lens toward the center of its movable range, that is, the center bias, is performed. It can be controlled without using center bias. In this case, there is no central bias calculation unit and central bias removal unit.

1‧‧‧Camera 1A‧‧‧Camera main body 1B‧‧‧Lens lens barrel 2‧‧‧CPU 3‧‧‧Photographic sensor 4‧‧‧ zoom lens 5‧‧‧focus lens 6‧‧‧Shake correction lens 7‧‧‧ Zoom lens drive mechanism 8‧‧‧focus lens drive mechanism 9‧‧‧ Shaking correction lens driving mechanism 10‧‧‧ Aperture 11‧‧‧Iris drive mechanism 12‧‧‧Angular velocity sensor 13‧‧‧Recording media 14‧‧‧ Memory Department 15‧‧‧Operation Department 17‧‧‧Release switch 18‧‧‧ Rear LCD 20‧‧‧Shutter 21‧‧‧Shake correction lens position detection unit 31‧‧‧Enlargement 32‧‧‧The first A/D conversion section 33‧‧‧ 2nd A/D conversion section 34‧‧‧ Reference value calculation unit 35‧‧‧ Reference value correction amount calculation unit 36‧‧‧Target position calculation unit 37‧‧‧Center bias calculation unit 38‧‧‧Center bias removal section 39‧‧‧ Lens driving amount calculation unit 40‧‧‧Image generation department 40A‧‧‧Pre-processing department 40B‧‧‧Size adjustment department 41‧‧‧Motion Vector Operation Department 42‧‧‧Basic Value Subtraction and Addition Department 43‧‧‧Subtraction Division 46‧‧‧Sensor Control Department 50‧‧‧ Reference value correction unit 100‧‧‧Jitter correction device

FIG. 1 is a schematic cross-sectional view of a camera. FIG. 2 is a block diagram showing the shake correction device included in the camera. FIG. 3 is a diagram illustrating an example of a method of obtaining motion vector information. FIG. 4 is a diagram for explaining the basic operation timing of the motion vector information in the motion vector operation unit. 5 is a flowchart showing the operation flow of the shake correction device. 6 is a diagram showing a reference value calculation unit. FIG. 7 is a detailed flowchart of the reference value correction step of FIG. 5. Fig. 8 (a) is a graph showing the second reference value of the deflection direction, and (b) is a graph showing the direction of the motion vector information in the X direction.

2‧‧‧CPU

3‧‧‧Photographic sensor

4‧‧‧ zoom lens

6‧‧‧Shake correction lens

7‧‧‧ Zoom lens drive mechanism

9‧‧‧ Shaking correction lens driving mechanism

12‧‧‧Angular velocity sensor

14‧‧‧ Memory Department

15‧‧‧Operation Department

21‧‧‧Shake correction lens position detection unit

31‧‧‧Enlargement

32‧‧‧The first A/D conversion section

33‧‧‧ 2nd A/D conversion section

34‧‧‧ Reference value calculation unit

35‧‧‧ Reference value correction amount calculation unit

36‧‧‧Target position calculation unit

37‧‧‧Center bias calculation unit

38‧‧‧Center bias removal section

39‧‧‧ Lens driving amount calculation unit

40‧‧‧Image generation department

41‧‧‧Motion Vector Operation Department

42‧‧‧Basic Value Subtraction and Addition Department

43‧‧‧Subtraction Division

46‧‧‧Sensor Control Department

50‧‧‧ Reference value correction unit

100‧‧‧Jitter correction device

Claims (6)

A photographic device having: Photographic element, which takes an image of a subject obtained by an optical system and outputs a signal; An image data generating section that generates image data based on the above signals; and The motion vector calculation unit detects the subject detected in the first image data in the second image data within a range set based on the focal distance of the optical system, and calculates the image of the subject For the motion vector, the first image data is generated by the image data generation unit, and the second image data is captured at a different time from the first image data and generated by the image data generation unit. The photographing device according to claim 1, wherein the motion vector calculation unit sets the wider the range as the focal length of the optical system becomes longer. The photographing device according to claim 1 or 2, which has: A sensor, which detects the jitter of the above-mentioned camera device and outputs a jitter signal; An element that moves in a direction crossing the optical axis of the optical system to change the position of the image of the subject; and The movement amount calculation unit calculates the movement amount of the element using the motion vector and the jitter signal. The photographing device according to claim 3, which has: A reference value calculation unit that calculates the first reference value that becomes the reference of the jitter signal based on the jitter signal; and The reference value correction unit corrects the first reference value based on the motion vector to obtain a second reference value; and The movement amount calculation unit calculates the movement amount of the element based on the jitter signal and the second reference value. The photographing device according to claim 3, wherein the motion vector calculation unit is The larger the above-mentioned jitter signal, the wider the above-mentioned range is set. The photographing device according to claim 3, wherein the element forms part of a plurality of lenses of the optical system.

Images