JP2007318292A - Motion vector detector and its program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a motion vector detector and its program capable of detecting blurring while alleviating too much burden. <P>SOLUTION: When blurring detection processing is started, a frame interval (frame rate) of frames photographed in moving video by a CCD3 is acquired (S1), and the width of a searching area corresponding to the acquired frame rate is established based on a searching area graph table memorized at a memory 8 (S2). Then, a frame rate in photographing is acquired from the CCD3, and a motion vector of the acquired frame rate is detected within the established width of the searching area by a block matching method (S4). Then, it is determined whether the blurring detection processing should be ended or not (S5). When it is determined that the processing should not be ended, it is determined whether the searching area should be adjusted or not based on the detected motion vector and the established width of the searching area (S6). The width of the searching area is reestablished if necessary (S7). <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a motion vector detection device and a program thereof, and more particularly to a motion vector detection device and a program thereof that detect a motion vector.

  Conventionally, there is a technique of correcting motion blur by calculating a motion vector from image data, determining a trimming position of the image data based on the calculated motion vector, and cutting out the image data (Patent Document 1).

As a representative method for calculating the motion vector, there is a block matching method. As shown in Patent Document 2, M × N pixels are used as one block, and current frame data is divided into a plurality of blocks. To do.
Then, as shown in FIG. 6A, one block 23 having the current frame data 21 and a search block 25 (M × N) within the search range 24 of the previous frame data (previous frame data) 22. The motion vector is calculated using (pixel).

As a method of calculating the motion vector, the search block 25 is positioned in the previous frame data at the same position as the block 23 of the current frame data 21, and each pixel value of the block 23 and each pixel value of the search block 25 at that time Find the sum of absolute values of the differences. The calculated sum value is the block evaluation value.
Then, as shown in FIG. 6B, the search block is moved one pixel to the right and one pixel down, and the absolute value of the difference between each pixel value of the block 23 and the pixel value of the search block 25 at that time The search block 25 is moved within the search range 24 so that the block evaluation value is obtained from the sum, and the block evaluation value at that time is obtained.

Then, it is determined that the position of the search block 25 having the smallest block evaluation value is the same as the block 23 of the current frame data 21, that is, the block at the position of the search block 25 having the smallest block evaluation value. Is determined to be the block having the highest correlation with 21 of the current frame data, and the motion vector of the block 23 of the current frame data 21 is calculated based on the position of the search block 25 determined to match the block 23.
By performing such an operation on all the divided blocks of the current frame data 21, the motion vector of all the divided blocks is calculated, and the current frame is calculated based on the calculated motion vector of each block. The motion vector of the data 21 is calculated.

Japanese Patent Laid-Open No. 10-136304

Japanese Patent Laid-Open No. 2005-202921

  However, according to the above technique, since the search range is uniform, when the image quality, for example, the frame rate is high, there is a problem that the processing load for calculating the motion vector of the frame becomes large. In addition, when the frame rate is high, there is a case where the amount of blur between frames is small compared to the case where the frame rate is low and wasteful processing is performed.

  Therefore, the present invention has been made in view of such a conventional problem, and an object of the present invention is to provide a motion vector detection device and a program thereof that can detect blurring while reducing an excessive burden.

In order to achieve the above object, a motion vector detecting apparatus according to the first aspect of the present invention divides current frame data into a plurality of blocks, and the current frame data is searched within a search range of previous frame data corresponding to the block of the current frame data. A motion vector detecting device for detecting a motion vector of a block of the current frame data by detecting a block having the highest correlation with the block of data,
Image quality information acquisition means for acquiring image quality information of an image;
Setting means for setting the width of the search range according to the image quality information acquired by the image quality information acquisition means;
Motion vector detecting means for detecting a motion vector of a block of the current frame data by detecting a block having the highest degree of correlation with the block of the current frame data within the range of the search range set by the setting means; ,
It is provided with.

For example, as described in claim 2, the acquisition unit includes:
Get the frame rate speed as the image quality information,
The setting means includes
The search range may be variably set according to the speed of the frame rate.

For example, as described in claim 3, the setting unit includes:
The search range may be set narrow when the frame rate is high, and the search range may be set wide when the frame rate is slow.

  Further, for example, as described in claim 4, the size of the search range set by the setting unit is adjusted based on the magnitude of the motion vector of the block detected by the motion vector detection unit. You may make it provide an adjustment means.

Further, for example, as described in claim 5, a moving image capturing unit that captures a moving image of a subject is provided,
The motion vector detecting means includes
A motion vector of a block of frame data may be detected based on moving image data picked up by the moving image pickup means.

Further, for example, as described in claim 6, a moving image acquisition means for acquiring recorded moving image data is provided,
The motion vector detecting means includes
You may make it detect the motion vector of the block of frame data based on the moving image data acquired by the said moving image data acquisition means.

For example, as described in claim 7, the motion vector detection unit includes:
When detecting the motion vector of the block of the current frame data based on the frame data including the interpolation pixel, the motion vector of the block may be detected using a pixel other than the interpolation pixel.

For example, as described in claim 8, the motion vector detection unit includes:
You may make it detect the motion vector of several blocks of the present frame data.

  Further, for example, as described in claim 9, calculation means for calculating a motion vector of the current frame data based on a motion vector of each block detected by the motion vector detection means may be provided. Good.

Further, for example, as described in claim 10, the calculation means includes:
The average value of the motion vectors of each block or the weighted average value of the motion vectors calculated based on the motion vector of each block, or the motion vector that maximizes the histogram of the motion vector of each block is represented in the current frame data. A motion vector may be used.

Further, for example, as described in claim 11, the display control means for displaying the current frame data trimmed based on the motion vector of the current frame data calculated by the calculation means on the display means,
The display control means includes
When the motion vector of the current frame data calculated by the calculating means is less than or equal to a predetermined value, the trimmed previous frame data that is already displayed may be displayed as it is without displaying the current frame data. .

Further, for example, as described in claim 12, the recording control means for recording the current frame data trimmed based on the motion vector of the current frame data calculated by the calculation means in the recording means,
The recording control means includes
When the motion vector of the current frame data calculated by the calculating means is less than or equal to a predetermined value, the previously recorded trimmed previous frame data may be continuously recorded instead of the current frame data.

In order to achieve the above object, a program according to the invention described in claim 13 divides current frame data into a plurality of blocks, and blocks the current frame data within a search range of previous frame data corresponding to the current frame data block. And a program for executing a motion vector detecting device for detecting a motion vector of a block of the current frame data by detecting a block having the highest degree of correlation with
Image quality information acquisition processing for acquiring image quality information of the image;
A setting process for setting the width of the search range according to the image quality information acquired by the image quality information acquisition means;
A motion vector detection process for detecting a motion vector of a block of the current frame data by detecting a block having the highest degree of correlation with the block of the current frame data within the search range set by the setting process; ,
And each of the above processes is executed.

  According to the present invention, since the motion vector of the block of the frame data of the moving image is detected by changing the size of the search range according to the image quality, the processing load is reduced without performing unnecessary processing. Can do.

Hereinafter, the present embodiment will be described in detail with reference to the drawings as an example in which the motion vector detection device of the present invention is applied to a digital camera.
[First embodiment]
A. Configuration of Digital Camera FIG. 1 is a block diagram showing a schematic electrical configuration of a digital camera 1 that implements the motion vector detection device of the present invention.
The digital camera 1 includes a taking lens 2, a CCD 3, a vertical driver 4, a TG (timing
generator) 5, unit circuit 6, DMA controller (hereinafter referred to as DMA) 7, memory 8, DMA 9, image generation unit 10, DMA 11, DMA 12, display unit 13, DMA 14, compression unit 15, DMA 16, flash memory 17, CPU 18, A key input unit 19 and a bus 20 are provided.

  The photographing lens 2 projects the light of the subject onto the CCD 3, and the CCD 3 is scan-driven by the vertical driver 4, and photoelectrically converts the intensity of the light of the subject projected at a fixed period to obtain an imaging signal (image). Data) to the unit circuit 6. Here, since the CCD 3 has a Bayer array color filter, the projected light of the subject is photoelectrically converted into the amount of light of each color of RGB values. The operation timing of the vertical driver 4 and the unit circuit 6 is controlled by the CPU 18 via the TG 5.

  A TG 5 is connected to the unit circuit 6, a CDS (Correlated Double Sampling) circuit that holds the imaged signal output from the CCD 3 by correlated double sampling, and an AGC (AGC (automatic gain adjustment) for the imaged signal after the sampling. Automatic gain control) circuit and an A / D converter that converts the analog image pickup signal after the automatic gain adjustment into a digital signal. The image pickup signal of the CCD 3 passes through the unit circuit 6 and is then transferred to the Bayer data by the DMA 7. Is stored in the memory 8.

  The memory 8 stores at least image data for two consecutive frames imaged by the CCD 3. That is, even when new frame data is stored in the memory 8, the previous frame data is held as it is. For example, even if the third frame data is stored, the second frame data is stored as it is, and when the fourth frame data is stored, the second frame data is erased. It ’s okay.

The DMA 9 cuts out and reads out the Bayer data newly stored in the memory 8 based on the cut-out range (trimming range) determined by the CPU 18 and outputs it to the image generation unit 10.
The image generation unit 10 performs pixel interpolation processing, γ correction, white balance processing, and the like on the image data of the Bayer data sent from the DMA 9, and performs processing for generating a luminance color difference signal (YUV data).
The DMA 11 stores in the memory 8 the image data of the luminance color difference signal generated by the image generation unit 10. At this time, the image data of the luminance color difference signal is stored in a region different from the Bayer data.

The DMA 12 reads the image data of YUV data stored in the memory 8 and outputs it to the display unit 13.
The display unit 13 includes a color LCD and its driving circuit, and displays the image data output from the DMA 12.

The DMA 14 outputs image data of YUV data or compressed image data (compressed image data) stored in the memory 8 to the compression unit 15 or image data compressed by the compression unit 15 during moving image shooting / recording. Or, the decompressed image data is stored in the memory 8.
The compression unit 15 is a part that performs compression / decompression of image data (for example, compression / decompression of MPEG format).
The DMA 16 reads the compressed image data stored in the memory 8 and records it in the flash memory 17 or stores the compressed image data recorded in the flash memory 17 in the memory 8.

The CPU 18 is composed of a one-chip microcomputer having a function of controlling each unit of the digital camera 1, and particularly has a function of calculating a motion vector of frame data that is a characteristic part of the present invention.
The key input unit 19 includes a plurality of operation keys such as a shutter button, a mode switching key, and a set key, and outputs an operation signal corresponding to a user key operation to the CPU 18.
The memory 8 further stores a program and necessary data necessary for the control of the CPU 18, and also stores a search range graphing table in which a search range corresponding to the frame rate is graphed. This search range graphing table will be described later.

B. Operation of Digital Camera 1 The operation of the digital camera 1 in the embodiment will be described with reference to the flowchart of FIG.

  When the blur detection process is started, the CPU 18 acquires the frame rate of the CCD 3 (step S1). At this time, the subject is imaged at a predetermined frame rate by the CCD 3 (moving image imaging processing such as through image display and moving image recording is performed), and the frame rate of the CCD 3 is acquired. As the frame rate, a frame rate corresponding to the image quality set by the user in the image quality setting mode is acquired. Note that the user may be able to individually set the frame rate regardless of the image quality setting.

Next, the CPU 18 sets the size of the search range corresponding to the acquired frame rate based on the search range graphing table (step S2).
FIG. 3 shows the state of the search range graphing table stored in the memory 8.
As can be seen from FIG. 3, when the frame rate is fast (high) (when the interval between frames to be captured is short), the search range becomes narrow (small) and the frame rate slows (low). The search range becomes wider (becomes larger) as the interval between captured frames becomes longer.

Next, the CPU 18 obtains the frame data output from the CCD and newly stored in the memory 8 via the unit circuit 6 and the DMA 7 (step S3), and the block matching method is performed with the set search range width. Thus, a motion vector of the acquired frame data is detected (step S4).
More specifically, the newly acquired frame data (current frame data) is divided for each block, and the setting of the previous frame data stored in the memory 8 corresponding to each of the divided blocks is set. The motion vector of each block of the current frame data is detected by detecting the block having the highest correlation with each of the divided blocks by moving the search block within the search range of a wide area, and the detection The motion vector of the current frame data is detected based on the motion vector of each block of the current frame data.

FIG. 4 is an example showing how the search range is set according to the speed (height) of the frame rate.
In FIG. 4, 21 is the current frame data, 22 is the previous frame data, 23 is one block into which the current frame data is divided, 24 is the search range corresponding to the block 23, 25 Indicates a search block.
FIG. 4 (a) shows how the search range is wide when the frame rate is low (for example, the frame rate is 15 fps (15 frames per second)). The search range is wide when it is fast (for example, the frame rate is 30 fps). Comparing (a) and (b) of FIG. 4, it can be seen that the search range changes depending on the speed of the frame rate.

  As described above, when the frame rate is low (low), the imaging interval of the frames to be imaged is long, so that blurring such as subject blurring and camera shake tends to increase between the previous frame and the current frame. If the range is set wide and the frame rate is fast, the imaging interval of the frames to be captured is also short, so subject blur, camera shake, etc. are small between the previous frame and the current frame, so the search range is narrow Therefore, it is possible to reduce the processing load on the CPU 18 without performing useless processing.

  Further, as a method of detecting the motion vector of the current frame from the detected motion vector of each block of the current frame, a simple average of the motion vectors of each block may be used as the motion vector of the current frame. A weighted average of the motion vectors of the blocks may be used as the motion vector of the current frame. Also, based on the motion vector histogram of each block (a graph representing the motion vector of each block with the motion vector axis and the number of blocks), the maximum motion vector is the motion vector of the current frame, that is, Of the motion vectors of each block, the motion vector having the largest number may be used as the motion vector of the current frame. In short, any method may be used as long as it detects a frame motion vector from the motion vector of each block.

Next, the CPU 18 determines whether or not to end the blur detection process (step S5). This determination is made when the through image display is ended and the still image shooting is performed or when the moving image recording shooting is ended. Further, when an operation signal for stopping the shake detection process is sent by the user's operation of the key input unit 19, it is determined that the shake detection process is to be ended.
If it is determined in step S5 that the blur detection process is not to be terminated, the CPU 18 determines whether or not it is necessary to adjust the size (size) of the search range (step S6). This determination is made based on the magnitude of the detected motion vector of the frame and the search range. That is, the determination is made based on whether or not it is necessary to feed back the magnitude of the detected motion vector to the size of the search range.

  For example, the search range may be exceeded depending on the size of the motion vector, so it is determined that the search range needs to be adjusted if there is a possibility that the search range may be exceeded depending on the size of the motion vector in advance. To do. If the detected motion vector is much smaller than the search range, an unnecessary motion vector is detected. In such a case, it is determined that the search range needs to be adjusted.

If it is determined in step S6 that adjustment of the search range is not necessary, the process returns to step S3. If it is determined that adjustment of the search range is necessary, the search range is reset (step S7), and the process returns to step S3. The search range is reset based on the magnitude of the detected motion vector of the frame and the already set search range.
For example, if there is a possibility that the size of the motion vector may exceed the search range, that is, if it is within the search range but the motion vector size is relatively large compared to the search range, the search range is widened again. If the magnitude of the motion vector is much smaller than the search range, the search range is set to be narrow. That is, the magnitude of the detected motion vector is fed back to the search range.

C. As described above, in the first embodiment, the search range is narrowed according to the speed of the frame rate, so that unnecessary operations are not required and the processing load can be reduced. The motion vector can be detected quickly.
In addition, since the search range is adjusted according to the magnitude of the motion vector of the actually detected frame, the search range can be set according to the actual situation according to the shooting state, situation, etc., and wasteful processing is performed. There is no.

[Second Embodiment]
Next, a second embodiment will be described.
In the second embodiment, blurring is corrected using a detected motion vector.

D. Operation of Digital Camera 1 In the second embodiment, the imaging apparatus of the present invention is realized by using the digital camera 1 having the same configuration as that shown in FIG.
Hereinafter, the operation of the digital camera 1 according to the second embodiment will be described with reference to the flowchart of FIG.

  When the blur correction process is started, the CPU 18 acquires frame data (current frame data) newly captured by the CCD 3 and stored in the memory 8 (step S11). At this time, the subject is imaged at a predetermined frame rate by the CCD 3 (moving image capturing processing such as through image display and moving image recording / capturing is performed).

  Next, the CPU 18 detects a motion vector of the acquired current frame data (step S12). The motion vector is detected by the method described in the first embodiment. It may be a motion vector detected by a method other than the method described in the first embodiment, or may be a shake amount detected by a sensor gyro or the like.

Next, the CPU 18 determines whether or not the acquired motion vector of the current frame data is equal to or less than a predetermined value (step S13). The predetermined value may be 0. When the predetermined value is 0, it is determined whether or not the motion vector is 0.
If it is determined in step S13 that the motion vector of the acquired current frame data is not less than a predetermined value, a trimming position is determined based on the previous trimming position and the detected motion vector of the current frame data, and the determined trimming position A trimming range is determined based on a predetermined trimming size (step S14).

  Next, in step S15, the CPU 18 causes the DMA 9 to cut out and read out the current frame data stored in the memory 8 based on the determined trimming range, and the luminance color difference signal generated by the image generation unit 10 is read out. The image data is displayed on the display unit 13 via the DMAs 11 and 12 (in the case of moving image recording, the displayed image data may be recorded), and the process proceeds to step S17.

  On the other hand, when it is determined in step S13 that the motion vector of the acquired current frame data is equal to or less than a predetermined value, most of the blur (refers to blur of the current frame based on the image of the previous frame) occurs. In step S16, the trimmed previous frame data already displayed is displayed as it is (in the case of moving image recording, the trimmed previous frame data already recorded is used instead of the current frame data). Recording may be continued), and the process proceeds to step S17. As a result, when the motion vector is equal to or smaller than the predetermined value, the trimming process and the image process are not performed, and the completed process can be reduced.

  In step S17, the CPU 18 determines whether or not to end the blur correction process. If it determines not to end the blur correction process, the CPU 18 returns to step S11 and acquires newly captured frame data. This determination is made when an operation signal indicating that the camera shake correction processing is to be stopped is transmitted by the user's operation of the key input unit 19 when the through image display is finished and the still image shooting is performed or the moving image recording shooting is ended. If it has been received, it is determined that the blur correction process is to be terminated.

E. As described above, in the second embodiment, when the motion vector of the current frame data newly captured by the CCD 3 and acquired is below a predetermined value, the current frame data is trimmed and displayed (recorded). Since the previously displayed trimmed previous frame data is continuously displayed (recorded) as it is without performing the operation, the burden of the correction process can be reduced.

[Modification]
F. Each of the above embodiments can be modified as follows.
(1) In each of the above embodiments, the description has been given at the time of moving image capturing, but it may be applied at the time of moving image reproduction. In other words, in the first embodiment, at the time of video playback, the frame rate of the video data to be played back is acquired, the search range is set according to the acquired frame rate, and the motion vector of the frame is detected. To do. In the second embodiment, the moving image data recorded by performing blur correction by trimming based on the trimming range determined based on the detected motion vector of the frame is reproduced and displayed. It may be.

(2) In the case of moving image recording and shooting, moving image data captured by associating the detected motion vector of the frame with the frame may be recorded.
Further, when the recorded moving image data is reproduced, the trimming range of the frame is determined based on the motion vector recorded in association with the frame, blur correction is performed, and the moving image data is reproduced and displayed.

  (3) In the first embodiment, when a frame motion vector is detected based on moving image data including an interpolation pixel, a pixel value other than the interpolation pixel value of the current frame data and the previous frame data You may make it detect a motion vector based on pixel values other than an interpolation pixel value. That is, the motion vector is detected using only the pixel value imaged by the CCD 3. In addition, as the moving image data including the interpolation pixel, for example, there is moving image data subjected to digital zoom.

(4) In the first embodiment, the frame rate is changed according to the image quality set by the user, and the search range is set according to the frame rate. The size of the search range may be set on the basis of these elements. For example, as another element of image quality, the width of the search range may be set according to the number of pixels read from the CCD 3.
More specifically, the number of pixels to be read differs depending on the pixel interval (every other pixel, every other pixel, etc.) thinned out by thinning readout and the number of pixels added by pixel addition driving. As the number of pixels to be thinned out and the number of pixels added by pixel addition driving increase, the number of pixels to be read out decreases, so the search range is set wider.
This is because if the number of pixels to be read out decreases, the processing load for detecting a motion vector does not increase even if the search range is set wide.

(5) In the first embodiment, the search range is first set according to the current frame rate, and then the search range is adjusted. However, the search range is adjusted according to the frame rate. The search range may not be set.
Specifically, without performing the operations in steps S1 and S2 in FIG. 2, the search range is set in advance, and the process proceeds to step S3. The subsequent operations are the same as in the first embodiment. To perform the operation.

  (6) Further, in each of the above embodiments, a case has been described in which a motion vector of a frame of moving image data is detected, and blurring is corrected based on the detected motion vector. For example, when performing MPEG compression, AF processing following a moving subject (moving an AF area based on a motion vector), or digital zooming following a moving subject (motion The present invention may also be applied to a case where the trimming position is moved based on a vector).

  (7) In the first embodiment, the size of the search range used in the block matching method is variably set according to the image quality. However, this is a method other than the block matching method. Also good. That is, the present invention can also be applied to a method of detecting a motion vector by another method and detecting a motion vector using a concept equivalent to the search range.

  (8) In the first embodiment, the search range is reset (adjusted) based on the magnitude of the motion vector and the set search range. There is no need to make adjustments. That is, if it is determined in step S5 in FIG. 2 that the blur detection process is not finished, the process may return to step S3 as it is.

  (9) The motion vector detection device of the present invention is not limited to the digital camera 1, but may be a mobile phone, a PDA, a personal computer, a digital video camera, etc. Essentially, a device having a function for handling moving image data If it is.

1 is a block diagram of a digital camera according to an embodiment of the present invention. It is a flowchart which shows operation | movement of the digital camera 1 of 1st Embodiment. It is a figure which shows the mode of the search range graphing table memorize | stored in the memory. It is a figure which shows the mode of the breadth of the search range set according to the speed of a frame rate. It is a flowchart which shows operation | movement of the digital camera 1 of 2nd Embodiment. It is a figure for demonstrating the block matching method.

Explanation of symbols

1 Digital Camera 2 Shooting Lens 3 CCD
4 Vertical driver 5 TG
6 Unit circuit 7 DMA
8 memory 9 DMA
10 Image generator 11 DMA
12 DMA
13 Display 14 DMA
15 Compression unit 16 DMA
17 Flash memory 18 CPU
19 Key input section 20 Bus

Claims (13)

By dividing the current frame data into a plurality of blocks and detecting a block having the highest correlation with the block of the current frame data within the search range of the previous frame data corresponding to the block of the current frame data, A motion vector detection device for detecting a motion vector of a block of data,
Image quality information acquisition means for acquiring image quality information of an image;
Setting means for setting the width of the search range according to the image quality information acquired by the image quality information acquisition means;
Motion vector detecting means for detecting a motion vector of a block of the current frame data by detecting a block having the highest degree of correlation with the block of the current frame data within the range of the search range set by the setting means; ,
A motion vector detection device comprising: The acquisition means includes
Get the frame rate speed as the image quality information,
The setting means includes
The motion vector detection apparatus according to claim 1, wherein a search range is variably set according to the speed of the frame rate. The setting means includes
The imaging apparatus according to claim 2, wherein when the frame rate is fast, the search range is set narrow, and when the frame rate is slow, the search range is set wide. 4. An adjustment means for adjusting the size of the search range set by the setting means based on the magnitude of the motion vector of the block detected by the motion vector detection means. The motion vector detection device according to any one of the above. A moving image capturing means for capturing a moving image of a subject;
The motion vector detecting means includes
5. The motion vector detection device according to claim 1, wherein a motion vector of a block of frame data is detected based on moving image data picked up by the moving image pickup means. Provided with a video acquisition means for acquiring recorded video data;
The motion vector detecting means includes
5. The motion vector detection device according to claim 1, wherein a motion vector of a block of frame data is detected based on the moving image data acquired by the moving image data acquisition means. The motion vector detecting means includes
7. When detecting a motion vector of a block of current frame data based on frame data including an interpolation pixel, the motion vector of the block is detected using a pixel other than the interpolation pixel. The imaging device according to any one of the above. The motion vector detecting means includes
8. The motion vector detection apparatus according to claim 1, wherein motion vector detection is performed for a plurality of blocks of current frame data. 9. The motion vector detection apparatus according to claim 8, further comprising a calculation unit that calculates a motion vector of the current frame data based on a motion vector of each block detected by the motion vector detection unit. The calculating means includes
The average value of the motion vectors of each block or the weighted average value of the motion vectors calculated based on the motion vector of each block, or the motion vector that maximizes the histogram of the motion vector of each block is represented in the current frame data. The motion vector detection device according to claim 9, wherein the motion vector is a motion vector. Display control means for causing the display means to display the current frame data trimmed based on the motion vector of the current frame data calculated by the calculation means;
The display control means includes
When the motion vector of the current frame data calculated by the calculation means is less than or equal to a predetermined value, the current frame data is not displayed, but the already trimmed previous frame data is displayed as it is. The motion vector detection device according to claim 9 or 10. Recording control means for recording the current frame data trimmed based on the motion vector of the current frame data calculated by the calculation means in the recording means;
The recording control means includes
10. The previously recorded trimmed previous frame data is continuously recorded instead of the current frame data when the motion vector of the current frame data calculated by the calculating means is equal to or less than a predetermined value. Alternatively, the motion vector detection device according to 10. By dividing the current frame data into a plurality of blocks and detecting a block having the highest correlation with the block of the current frame data within the search range of the previous frame data corresponding to the block of the current frame data, A program for executing a motion vector detection device for detecting a motion vector of a block of data,
Image quality information acquisition processing for acquiring image quality information of the image;
A setting process for setting the width of the search range according to the image quality information acquired by the image quality information acquisition means;
A motion vector detection process for detecting a motion vector of a block of the current frame data by detecting a block having the highest degree of correlation with the block of the current frame data within the search range set by the setting process; ,
And executing the above-described processes.

Images