JP2012147044A - Digital microscope - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a digital microscope capable of improving image quality even in a short-time photographing and presence of vibration, while suppressing an increase in cost.SOLUTION: A digital microscope 1 includes: an imaging part 11 which generates a captured image of a subject 13; an image shake correction part 20 provided with a motion vector detection part 201 which detects a motion vector of the captured image and with an image correction part 202 which corrects the shake of the captured image by using the motion vector; and an image quality improvement part 30 comprising a moving image storage part 301 which stores the captured image, a motion vector storage part 302 which stores a motion vector corresponding to the captured image stored in the moving image storage part 301, and an image arithmetic operation part 303 which performs image arithmetic operation using the captured image stored in the moving image storage part 301 and the motion vector stored in the motion vector storage part 302. The motion vector storage part 302 stores the motion vector detected by the motion vector detection part 201.

Description

  The present invention relates to a digital microscope capable of inputting a digital image.

  Conventionally, optical microscopes have been used for observation of minute objects such as pathological examinations. The optical microscope includes an objective lens, an eyepiece lens, and an illumination light source for irradiating a subject. In recent years, digital microscopes using a two-dimensional image sensor such as a CCD or CMOS have begun to spread. In particular, the market size of digital microscopes that do not have an eyepiece and are observed only with a monitor is increasing.

  Digital microscopes generally use an imaging device with about 1.3 million to 2 million pixels, and search for the subject of interest to be observed while moving the stage and switching the objective lens. “Still image mode” for capturing and displaying the image of the subject of interest still. In the “live mode”, in order to find a subject of interest to be observed in a short time, imaging with a high frame rate is required. For example, imaging is performed at 2 million pixels at 15 frames / second and a captured image is displayed on a monitor. On the other hand, the “still image mode” requires high image quality, and about 2 million pixels cannot be said to have a sufficient resolution for image observation. For this reason, a technique (hereinafter referred to as an image shift method) that performs high-resolution imaging by pixel shift by moving the image sensor is known (see, for example, Patent Document 1). According to this pixel shift method, a resolution equivalent to 10 million pixels can be obtained.

  By the way, in a digital microscope without an eyepiece, an observer observes only a monitor screen. The observer sets the microscope to live mode and moves the stage, adjusts the focus, and changes the magnification (objective lens) while watching the monitor screen. The microscope case and the microscope are installed by operations such as moving the stage. The desk or the like shakes, and the image that is enlarged and displayed on the monitor is blurred, resulting in an image that is very difficult to see. In order to correct such image blur, it is possible to perform image blur correction that detects a position of an image for each frame and corrects a display position, which is widely used in video cameras and the like.

JP 2009-128726 A

  With the pixel shift method, an image with high resolution can be obtained, but about 4 to 9 images are required for the same subject, and shooting is performed by moving the stage or the image sensor with an accuracy equal to or less than the pixel pitch. When inputting 4 images, it is necessary to move at a 1/2 pixel pitch, when inputting 9 images, it is necessary to move at a 1/3 pixel pitch, which requires a highly accurate drive mechanism, and a new motion detection processing unit has been added. Therefore, the cost increases. In addition, since it takes time to drive itself, it takes about 3 to 5 seconds to shoot one still image. In addition, since the shooting time is long, it may be affected by vibration during the shooting, and may not always move at the assumed moving distance. In this case, the resolution cannot be improved.

  As described above, the pixel shift method has a problem that the cost is increased, it takes time to shoot, and the image quality is not necessarily improved when there is vibration. In addition, if the housing or the like is made firm in order to suppress vibration, there is a problem that the cost further increases. In addition, as a method for increasing the resolution other than the pixel shift method, the objective lens is switched to a high magnification to enlarge the image, a plurality of images are taken, and these images are combined to form a high-resolution image. Although there is a method to obtain, there is a similar problem that this method is expensive and time-consuming.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a digital microscope that can improve the image quality even when there is vibration in short-time shooting, and suppresses an increase in cost, in order to solve the above problems.

  The image blur correction function is becoming standard equipment in recent digital microscopes. Image blur correction detects the amount of image movement (motion vector) between frames, and changes the image display position (reading position from memory, etc.) according to the detected motion vector, thereby moving the image on the monitor. Has stopped. Therefore, image quality enhancement processing is performed using captured images of a plurality of frames using a motion vector detected by image blur correction.

  That is, in order to solve the above-described problem, a digital microscope according to the present invention includes an imaging unit that generates a captured image of a subject, and a motion that detects a motion vector between frames of a plurality of captured images generated by the imaging unit. An image blur correction unit having a vector detection unit and an image correction unit that corrects blur of the captured image using the motion vector, and a moving image storage unit that stores a plurality of frames of captured images generated by the imaging unit A motion vector storage unit that stores motion vectors corresponding to a plurality of frames of captured images stored in the moving image storage unit, and a plurality of frames of captured images and motion vector storage units that are stored in the moving image storage unit. An image quality improvement unit having an image calculation unit for performing image quality improvement processing on the captured image using a stored motion vector, Torr storage unit, and to store the motion vector detected by said motion vector detecting section.

  Further, in the digital microscope according to the present invention, when the image calculation unit starts a still image mode for obtaining a high-quality image, the plurality of frames immediately before the start stored in the moving image storage unit The captured image and the motion vector stored in the motion vector storage unit are acquired.

  Further, in the digital microscope according to the present invention, the image calculation unit corresponds to the motion vector corresponding from the motion vector storage unit in synchronization with acquiring captured images of sequential frames stored in the moving image storage unit. It is characterized by acquiring.

  Further, in the digital microscope according to the present invention, the image calculation unit estimates a pixel value between pixels using a captured image of a plurality of frames acquired from the moving image storage unit and a motion vector acquired from the motion vector storage unit. And a super-resolution processing unit for generating a super-resolution image.

  In the digital microscope according to the present invention, the image calculation unit uses the motion vector acquired from the motion vector storage unit so that the positions of the captured images of a plurality of frames acquired from the moving image storage unit overlap each other. And a noise reduction unit that reduces the noise based on the geometrically corrected image.

  According to the present invention, since the image quality enhancement processing is performed using the motion vector calculated by the image blur correction unit, a new processing unit for motion detection is not required, and an increase in cost can be suppressed.

  In addition, by performing the image quality improvement process using the captured images and motion vectors of a plurality of frames taken during the live mode, it is possible to shorten the time until the image after the image quality improvement process is displayed on the monitor.

It is a block diagram which shows schematic structure of the image process part of the digital microscope of 1st Embodiment by this invention. 1 is an external view of a digital microscope according to an embodiment of the present invention. It is a block diagram which shows the structure of the image process part of the digital microscope of 1st Embodiment by this invention. It is a figure explaining operation | movement of the image processing part of the digital microscope of 1st Embodiment by this invention. It is a figure explaining operation | movement of the image processing part of the digital microscope of 2nd Embodiment by this invention. It is a block diagram which shows the structure of the image process part of the digital microscope of 3rd Embodiment by this invention. It is a figure explaining operation | movement of the image processing part of the digital microscope of 3rd Embodiment by this invention.

  Hereinafter, embodiments of a digital microscope according to the present invention will be described in detail with reference to the drawings.

(First embodiment)
FIG. 1 is a block diagram illustrating a schematic configuration of an image processing unit of a digital microscope according to an embodiment of the present invention. The image processing unit 10 has an image blur correction function for correcting image blur and an image quality enhancement function for improving the image quality. The captured image input from the imaging unit 11 is processed and output to the monitor 19. The image blur correction unit 20, the image quality enhancement unit 30, and the still image storage unit 80.

  When the image processing unit 10 is instructed by the observer to perform image blur correction processing, the image processing unit 10 corrects the blur of the captured image by the image blur correction unit 20 and instructs the observer to perform image quality improvement processing. If it has been done, the image quality improvement unit 30 improves the image quality of the captured image.

  The image blur correction unit 20 includes a motion vector detection unit 201 and an image correction unit 202. The motion vector detection unit 201 continuously captures a plurality of frames of captured images generated by the imaging unit 11 and detects a motion vector between frames. The image correction unit 202 uses a plurality of frames of captured images generated by the imaging unit 11 and a motion vector detected by the motion vector detection unit 201 so that an image displayed on the monitor 19 does not blur. Image geometric deformation is performed by controlling the image readout position, image interpolation, or the like.

  The image quality improving unit 30 includes a moving image storage unit 301, a motion vector storage unit 302, and an image calculation unit 303. The moving image storage unit 301 stores a plurality of captured images generated by the imaging unit 11. The motion vector storage unit 302 acquires the motion vectors corresponding to the captured images of a plurality of frames stored in the moving image storage unit 301 from the motion vector detection unit 201 and stores them. The image calculation unit 303 uses the captured images of a plurality of frames stored in the moving image storage unit 301 and the motion vectors stored in the motion vector storage unit 302 to perform high quality processing on the captured images.

  In the still image mode, the still image storage unit 80 holds a still image of the same frame generated by the imaging unit 11 until a high quality image is generated by the image quality improving unit 30.

  FIG. 2 is a diagram illustrating a digital microscope including the image processing unit 10. The digital microscope 1 includes an imaging unit 11, an objective lens 12, a stage 14, a motor 15 (an X-axis motor 15-1, a Y-axis motor 15-2, and a Z-axis motor 15-3), and an encoder. 16 (X-axis encoder 16-1, Y-axis encoder 16-2, and Z-axis encoder 16-3), a light source 17, a microscope control unit 18, an image processing unit 10, and a monitor 19. .

  The imaging unit 11 captures an image of the subject 13 via the objective lens 12 using an imaging element such as a CCD or CMOS having an RGB Bayer array of 1600 × 1200 pixels, and acquires an analog image signal of the subject 13. Then, a captured image obtained by converting an analog image signal into a digital signal is generated.

  The stage 14 is configured to be movable in the XYZ directions when the optical axis direction of the objective lens 12 is defined as the Z direction and a plane perpendicular to the Z direction is defined as the XY plane. That is, the stage 14 is movable in the XYZ directions by the motor 15 and the microscope control unit 18 that controls the driving of the motor 15. Each encoder 16 is attached to the motor 15, detects the amount of rotation of the motor 15, and outputs it to the microscope control unit 18. The microscope control unit 18 moves the stage 14 to control the position of the subject 13 and sends the captured image generated by the imaging unit 11 to the image processing unit 10 configured with a PC or the like. The subject 13 is placed on the stage 14 and irradiated by the light source 17. The monitor 19 displays an image input from the image processing unit 10.

  FIG. 3 is a block diagram showing a more detailed configuration of the image processing unit 10 described above. The image processing unit 10a includes an image blur correction unit 20, an image quality enhancement unit 30, a signal processing unit 40, an image blur correction instruction unit 50, an image blur correction selection unit 60, a still image mode instruction unit 70, A still image storage unit 80 and a display control unit 90 are provided. The image blur correction unit 20 includes a motion vector detection unit 201 and an image correction unit 202, and the image correction unit 202 includes an image storage unit 203, a motion vector accumulation unit 204, and an image geometric correction unit 205. The image quality improvement unit 30 includes a moving image storage unit 301, a motion vector storage unit 302, and an image calculation unit 303. The image calculation unit 303 includes a super-resolution processing unit 304. In FIG. 3, the signal processing unit 40 shows a configuration in which the captured image is directly input from the imaging unit 11. However, as illustrated in FIG. 2, the signal processing unit 40 is input via the microscope control unit 18. Of course, it is good.

  The signal processing unit 40 performs development processing such as auto white balance, demosaicing processing, color correction and gradation correction, generates an RGB image and a YCC image, and outputs them to the image blur correction selection unit 60 and the moving image storage unit 301. To do. When the still image mode is instructed from the still image mode instruction unit 70, the generated image is output to the still image storage unit 80.

  The image blur correction instructing unit 50 detects that the image blur correction function is on. The image blur correction function is turned on by, for example, an act of pressing a button of an image processing interface unit (not shown) or clicking a button of application software displayed on the monitor 19 with a mouse or the like. The The image blur correction instructing unit 50 outputs a signal indicating whether the image blur correction function is on or off to the signal processing unit 40.

  When the image blur correction function is on, the image blur correction selection unit 60 outputs captured images continuously input from the signal processing unit 40 to the image blur correction unit 20, and when the image blur correction function is off. The signal input from the signal processing unit 40 is output to the display control unit 90.

  The motion vector detection unit 201 detects the motion (movement amount) of the captured image between successive frames. Since the motion vector can be detected by pattern matching or phase correlation calculation (for example, see Japanese Patent Laid-Open No. 7-200242), which is a known technique, description thereof is omitted. The motion vector detection unit 201 outputs the detected motion vector to the image correction unit 202 and also outputs it to the image quality improvement unit 30.

  The motion vector accumulation unit 204 detects a cumulative motion vector from the motion vector obtained by the motion vector detection unit 201 with reference to the image frame when the image blur correction is turned on, and when the image blur correction is turned on. Then, the position of the captured image is adjusted to the image position.

  The image geometric correction unit 205 performs geometric correction of the image using the accumulated motion vector input from the motion vector accumulation unit 204. In particular, in the case of an industrial microscope, the subject 13 is not locally deformed, such as a circuit board, and the stage 14 moves horizontally but does not tilt. Therefore, the image geometric correction unit 205 is stored in the image storage unit 203. A process for changing the reading position of the stored image data is performed. However, in order to reliably suppress the image shake, the readout position needs to have sub-pixel accuracy, and an image interpolation operation is performed. The image geometric correction unit 205 determines whether or not the norm of the motion vector accumulated by the motion vector accumulation unit 204 exceeds a threshold value, and performs geometric correction (image blur correction processing) if the threshold value is not exceeded. If the threshold value is exceeded, the subject 13 is considered to have moved and the geometric correction is canceled.

  The still image mode instruction unit 70 detects that the still image mode of the subject 13 observed in the live mode is on. The still image mode is turned on by, for example, an action such as pressing a button of an image processing interface unit (not shown) or clicking a button of application software displayed on the monitor 19 with a mouse or the like. . The still image mode instruction unit 70 outputs a signal indicating whether the still image mode is on or off to the image quality improving unit 30.

  The moving image storage unit 301 stores a plurality of frames (for example, 30 frames) of the captured image input from the signal processing unit 40.

  The motion vector storage unit 302 acquires and stores a motion vector corresponding to the captured image stored in the moving image storage unit 301 from the motion vector detection unit 201 of the image blur correction unit 20. When m frames of captured images are stored, m-1 inter-frame motion vectors are stored.

  The image calculation unit 303 according to the present embodiment includes a super-resolution processing unit 304. When the still image mode is instructed from the still image mode instruction unit 70, the super-resolution processing unit 304 receives the captured images of a plurality of frames acquired from the moving image storage unit 301 and the motion vector acquired from the motion vector storage unit 302. The pixel value between the pixels is estimated, and a super-resolution image having a larger number of pixels than the current image (for example, 1600 × 1200 pixels) is generated and stored in the still image storage unit 40. For example, when super-resolution processing is performed using 30 image frames, a super-resolution image of about 3200 × 2400 pixels can be generated. The super-resolution processing can be realized by a known technique described in, for example, JP 2010-110500 A, JP 2008-306651 A, International Publication No. 2007/102377 pamphlet, and the description thereof is omitted. .

  The display control unit 90 selects and displays a live image input from the image blur correction selection unit 60 or a still image input from the still image storage unit 80. When a live image is displayed and the image blur correction function is turned on, an image subjected to image blur correction processing input from the image blur correction unit 20 is displayed. When the image quality enhancement processing by the image quality enhancement unit 30 ends, the still image is switched to the image subjected to the image quality enhancement processing and displayed. In addition, since the number of pixels and the number of gradations (number of bits) may differ from a live image, the display control unit 90 also performs conversion processing in accordance with the monitor 19.

  Next, the operation of the image processing unit 10 configured as described above will be described. FIG. 4 is a diagram for explaining the operation of the image processing unit 10. FIG. 4A conceptually shows a frame of a captured image. For example, images are sequentially input at 15 frames per second. When the imaging operation starts, the live mode is selected by default. The observer moves the stage 14 in the XY direction (horizontal direction), moves it in the Z direction (vertical direction) for focus adjustment, or changes the objective lens 12 to observe the subject 13 (scratches and defects). (Such as inspection). The observer turns on image blur correction when a region of interest to be observed is determined. Then, as shown in FIG. 4B, the motion vector detection unit 201 detects a motion vector, and the image correction unit 202 performs image blur correction on the basis of the image for which image blur correction is turned on.

  When the still image mode is turned on by the observer, the still image mode instruction unit 70 issues an instruction for the still image mode. Then, as shown in FIG. 4B, the super-resolution processing unit 304 inputs a plurality of frames of images for super-resolution processing, and images of a total of m frames from Nth frame to N + m−1 are moving images. Store in the storage unit 301. During this time, as shown in FIG. 4C, the monitor 19 displays a captured image of the Nth frame captured immediately before the start of the still image mode.

  Thereafter, the motion vectors between these frames are also calculated and stored in the motion vector storage unit 302. After completion of video input and motion vector calculation for all m frames, super-resolution processing is performed by the super-resolution processing unit 304, and the super-resolution processed image is displayed on the monitor 19 as shown in FIG. To display.

As described above, according to the digital microscope 1 of the first embodiment, by using the motion vector detection unit 201 of the image blur correction unit 20, the motion vector calculation is performed almost simultaneously with the completion of the image input during the super-resolution processing. Complete. Since a motion vector can be obtained without adding a new motion vector calculation unit, an increase in cost can be suppressed.
In addition, since the motion vector detection corresponding to the super-resolution image input is performed at the same time, the time required to calculate the super-resolution image can be reduced.

  Further, by performing super-resolution processing as image quality enhancement processing, the resolution can be dramatically increased. In particular, the super-resolution processing eliminates the need for a rigid housing for suppressing the vibration of the microscope, thereby reducing the cost. Further, since an image with the same resolution can be obtained with only a low-magnification objective lens without using a high-magnification objective lens, the cost can be significantly reduced.

(Second Embodiment)
Next, a digital microscope 1 according to a second embodiment of the present invention will be described. In addition, the same reference number is attached | subjected to the same component as 1st Embodiment, and description is abbreviate | omitted. The digital microscope 1 of the second embodiment has the same configuration as that of the first embodiment, but the processing timing of the super-resolution processing unit 304 is different.

  In the present embodiment, when starting the still image mode for obtaining an image with high image quality, the image calculation unit 303 stores a plurality of frames stored in the moving image storage unit 301 immediately before the start of the still image mode. The captured image and the motion vector stored in the motion vector storage unit 302 are acquired. In addition, the image calculation unit 303 acquires a corresponding motion vector from the motion vector storage unit 302 in synchronization with acquiring captured images of sequential frames stored in the moving image storage unit 301.

  That is, in the first embodiment, when the number of image frames m required for the super-resolution processing is m = 30, about 2 seconds are required for image input (simultaneous with the detection of the motion vector), and several seconds are required for the super-resolution processing However, in this embodiment, when the image blur correction is turned on, the super-resolution image input is started at the same time, so that the super-resolution processing can be started immediately after the still image mode is instructed.

  FIG. 5 is a diagram illustrating the operation of the image processing unit 10 of the present embodiment. As shown in FIG. 5B, when the image blur correction is turned on, the super-resolution processing unit 304 starts inputting a plurality of frames of images for super-resolution processing. For example, when m = 30, a frame image of 2 seconds is stored, but the latest 30 pieces of image data are always stored in the moving image storage unit 301. For example, if the time from image blur correction on to still image mode instruction is 5 seconds, the image shot in 3 seconds after image blur correction is turned on is erased, and the 30 captured images captured thereafter are Store for resolution processing.

  When the still image mode is turned on by the observer, the still image mode instruction unit 70 instructs the still image mode. Then, as shown in FIG. 5B, the super-resolution processing unit 304 immediately performs super-resolution processing using the latest 30 pieces of image data stored in the moving image storage unit 301. As shown in c), the super-resolution processed image is displayed on the monitor 19.

  According to the second embodiment, when the image blur correction is turned on, the super-resolution processing unit 304 starts to input a plurality of frames of images for super-resolution processing. Therefore, compared with the first embodiment. Thus, higher-speed super-resolution processing can be performed.

(Third embodiment)
Next, a digital microscope 1 according to the third embodiment will be described. In addition, the same reference number is attached | subjected to the same component as 1st Embodiment, and description is abbreviate | omitted.

  FIG. 6 is a block diagram showing the configuration of the image processing unit of this embodiment. The image processing unit 10b of the present embodiment is different from the image processing unit 10 (10a) of the first embodiment only in the configuration of the image calculation unit 303. The image calculation unit 303 of the present embodiment includes a noise reduction unit 305, and the noise reduction unit 305 includes an image geometric correction unit 306 and an image accumulation unit 307.

  The image geometric correction unit 306 uses the motion vector acquired from the motion vector storage unit 302 to perform geometric correction so that the positions of the captured images of a plurality of frames acquired from the moving image storage unit 301 overlap each other. The image accumulating unit 307 generates an image with reduced noise and an improved SN ratio by accumulating and averaging the images input from the image geometric correcting unit 306 for the captured images of a plurality of frames. The number of image frames to be cumulatively added is about 4 to 16. Note that the image geometric correction unit 306 has the same function as the image geometric correction unit 205 of the image blur correction unit 20 and may be used in combination.

  Next, the operation of the image processing unit 10b configured as described above will be described. FIG. 7 is a diagram for explaining the operation of the image processing unit 10b. As shown in FIG. 7B, when image blur correction is turned on, the noise reduction unit 305 starts inputting a plurality of frames of images for super-resolution processing. For example, when m = 30, a frame image of 2 seconds is stored, but the latest 30 pieces of image data are always stored in the moving image storage unit 301. For example, if the time from image blur correction on to still image mode instruction is 5 seconds, images shot in 3 seconds after image blur correction is turned on are erased, and 30 captured images captured thereafter are Store for reduction processing.

  When the still image mode is turned on by the observer, the still image mode instruction unit 70 instructs the still image mode. Then, as shown in FIG. 5B, the noise reduction unit 305 immediately performs noise reduction processing using the latest 30 pieces of image data stored in the moving image storage unit 301, and FIG. As shown, a high SN image that has been subjected to noise reduction processing is displayed on the monitor 19.

  Although the above is an example in which noise reduction processing is performed, if image data is input while changing the exposure for each frame, an image with an improved dynamic range can be obtained using these plural images. In this case, for example, about 4 to 8 images with slightly different exposure amounts are used.

  According to the third embodiment, noise can be reduced and the SN ratio can be improved. Furthermore, when images with different exposures are used, the dynamic range can be expanded.

  Each of the above embodiments has been described as a representative example, but it will be apparent to those skilled in the art that many changes and substitutions can be made within the spirit and scope of the invention. Therefore, the present invention should not be construed as being limited by the above-described embodiments, and various modifications and changes can be made without departing from the scope of the claims. For example, as in the first embodiment, the noise reduction unit 305 according to the third embodiment receives a plurality of frames of images for noise reduction processing after the still image mode instruction is issued by the still image mode instruction unit 70. May be input.

DESCRIPTION OF SYMBOLS 1 Digital microscope 10, 10a, 10b Image processing part 11 Imaging part 12 Objective lens 13 Subject 14 Stage 15 (15-1 to 15-3) Motor 16 (16-1 to 16-3) Encoder 17 Light source 18 Microscope control part 19 Monitor 20 Image blur correction unit 30 High image quality improvement unit 40 Signal processing unit 50 Image blur correction instruction unit 60 Image blur correction selection unit 70 Still image mode instruction unit 80 Still image storage unit 90 Display control unit 201 Motion vector detection unit 202 Image correction Unit 203 image storage unit 204 motion vector accumulation unit 205 image geometric correction unit 301 moving image storage unit 302 motion vector storage unit 303 image calculation unit 304 super-resolution processing unit 305 noise reduction unit 306 image geometric correction unit 307 image accumulation unit

Claims (5)

An imaging unit that generates a captured image of the subject;
Image blur correction comprising: a motion vector detection unit that detects a motion vector between frames of a plurality of captured images generated by the imaging unit; and an image correction unit that corrects blur of the captured image using the motion vector. And
A moving image storage unit that stores captured images of a plurality of frames generated by the imaging unit, a motion vector storage unit that stores motion vectors corresponding to the captured images of a plurality of frames stored in the moving image storage unit, and the moving image An image quality improvement unit comprising: a plurality of frames of captured images stored in the image storage unit; and an image calculation unit that performs image quality improvement processing on the captured image using the motion vectors stored in the motion vector storage unit. ,
The digital microscope characterized in that the motion vector storage unit stores a motion vector detected by the motion vector detection unit.   When the image calculation unit starts a still image mode for obtaining a high-quality image, the captured image of a plurality of frames immediately before the start stored in the moving image storage unit, and the motion vector storage unit The digital microscope according to claim 1, wherein the motion vector stored in the step is acquired.   The image calculation unit acquires a corresponding motion vector from the motion vector storage unit in synchronization with acquiring captured images of sequential frames stored in the moving image storage unit. 2. The digital microscope according to 2.   The image calculation unit generates a super-resolution image by estimating pixel values between pixels using a plurality of frames of captured images acquired from the moving image storage unit and a motion vector acquired from the motion vector storage unit. The digital microscope according to claim 1, further comprising an image processing unit.   The image calculation unit uses the motion vector acquired from the motion vector storage unit to perform geometric correction so that the positions of the captured images of a plurality of frames acquired from the moving image storage unit overlap, and the geometric correction is performed. The digital microscope according to claim 1, further comprising a noise reduction unit that reduces noise based on the obtained image.

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