JP2006109361A - Cyclic moving image processing apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a cyclic moving image processing apparatus in which smoothness of motion is given to a moving image by applying image processing to an image that is to be used as a still image, so as to utilize the image also as a moving image. <P>SOLUTION: The cyclic moving image processing apparatus comprises: a motion vector calculation means (11) for extracting a motion region of inputted image data and calculating a motion vector of image data of a plurality of frames which are temporally different for the motion region; a storage means (98) capable of storing the inputted image data frame by frame; arithmetic means (96, 97, 98) for performing predetermined cyclic operation using the inputted image data, image data, preceding for at least one frame, outputted from the storage means and a coefficient K; and a coefficient control means (94) for performing control to reduce a value of the coefficient K less as a size of the motion vector becomes greater, based on the size of the motion vector calculated in the motion vector calculation means. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a cyclic moving image processing apparatus suitable for giving smoothness to a reproduced moving image and improving the image quality of the moving image when reproducing a plurality of still images as moving images.

2. Description of the Related Art Generally, an imaging apparatus is known that photoelectrically converts a subject image formed on an imaging surface of an imaging element and records the obtained image data on a recording medium.
In addition, as an imaging device, a device capable of capturing not only a still image but also a moving image by using a single imaging system as the capacity of a memory used as a recording medium increases and the image processing speed improves. Has been developed.

In particular, in the news report field, there is a desire to use both still images and moving images captured using such an imaging device for viewing.
For example, when a moving image is captured and recorded using a single imaging system, if a release switch is pressed and a still image is instructed while the moving image is being captured, recording is performed on the recording medium. There has been proposed an electronic camera in which a flag is set for a corresponding still image in a moving image and only an image with the flag set can be reproduced as a still image (see Patent Document 1).
JP 2000-295568 A Published by Takahiko Fukiki, "Digital signal processing of images (enlarged version)", Nikkan Kogyo Shimbun, Ltd. July 30, 1986 First edition 7 prints (enlarged version) (see page 25)

However, the prior art described above has the following problems.
That is, in the case of simultaneously capturing an image used as a still image and an image used as a moving image in a single imaging system, a playback still image extracted from a moving image captured under normal moving image capturing conditions The image is blurred and cannot be viewed as a still image.
Conversely, when simultaneously capturing an image used as a still image and an image used as a moving image in a single imaging system, a moving image captured under normal still image capturing conditions is There is no smooth movement, and it cannot stand as a moving image.

  An object of the present invention is to provide a cyclic moving image processing apparatus that performs image processing that can also be used as a moving image on an image that is used as a still image, and gives the moving image smoothness.

  According to the first aspect of the present invention, there is provided a motion vector calculating means for extracting a motion region of input image data and calculating a motion vector from image data of a plurality of fields or a plurality of frames of temporally different motion regions. , Storage means capable of storing input image data in field or frame units, input image data multiplied by K (0 ≦ K ≦ 1), and at least one field previous image output from the storage means Data or image data of at least one frame before is multiplied by (1-K), and a cyclic operation is performed to add the K-folded image data and the (1-K) -multiplied image data output from the storage means. Coefficient control means for performing change control so that the value of the coefficient K decreases as the magnitude of the motion vector calculated by the calculation means and the motion vector calculation means increases. Characterized in that it has and.

According to a second aspect of the present invention, in the cyclic moving image processing apparatus according to the first aspect, the coefficient control means sets the value of the coefficient K for the region including the extracted motion region as the size of the motion vector increases. It is characterized in that change control is performed so as to be small.
According to a third aspect of the present invention, in the cyclic moving image processing apparatus according to the first aspect, the coefficient control means increases the magnitude of the motion vector for each of the regions each including the plurality of extracted motion regions. The change control is performed so that the value of the coefficient K is reduced.

  According to a fourth aspect of the present invention, in the cyclic moving image processing apparatus according to any one of the first to third aspects, the motion vector calculating means includes the size of the motion region and the calculated motion vector. The coefficient control means detects the scene change of the input image data in accordance with the magnitude and direction of the image data, and the coefficient control means detects the scene change by the motion vector calculation means regardless of the magnitude of the motion vector. The value is set to 1.

  The cyclic moving image processing apparatus of the present invention is based on the following principle. That is, when cyclic addition processing (low-pass filter processing) is performed on image data using an arithmetic means, the amount of afterimage is intentionally increased by decreasing the value of the coefficient K, so that smooth movement can be achieved. Get a video.

  According to the present invention, when an image that can be used as a still image is reproduced as a moving image, a moving image with smooth movement is obtained, and the moving image can be viewed.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.
FIG. 1 is a block diagram showing an example of an image processing system using the cyclic moving image processing apparatus of the present invention. This embodiment corresponds to all the claims.
The image processing system shown in FIG. 1 includes an imaging device 1, an imaging lens 2, an imaging device driving circuit 3, a processing circuit 4, a compression circuit 5, a recording medium 6, an operation unit 7, and a shooting mode setting unit. 8, a motion processing circuit 9, a control circuit 10, a motion vector calculation circuit 11, a display unit 12, an aperture device 13, an aperture drive circuit 14, a lens drive circuit 15, and a zoom operation unit 16. Has been.

  In FIG. 1, an image of a subject (not shown) is formed on the imaging surface of the imaging device 1 by the imaging lens 2. In FIG. 1, for the sake of simplicity, the imaging lens 2 including a plurality of lenses including the magnifying optical system is shown as a single lens. The imaging lens 2 is driven by a lens driving circuit 15. That is, the imaging lens 2 is driven by the lens driving circuit 15 under the control of the control circuit 10 based on the operation of the zoom operation unit 16, and the optical zoom function is realized.

A diaphragm device 13 driven by a diaphragm driving circuit 14 is disposed between the image sensor 1 and the imaging lens 2.
The image sensor 1 can perform an electronic shutter operation, and is driven by the image sensor drive circuit 3 under the control of the control circuit 10. That is, the image data read from the image sensor 1 by the drive signal output from the image sensor drive circuit 3 is input to the processing circuit 4 and is used for DC reproduction, A / D conversion, white balance, gamma conversion, electronic zoom, etc. Signal processing is performed.

Note that, instead of the electronic shutter operation of the image sensor 1, a mechanical shutter may be used or both may be used in combination.
The image data output from the processing circuit 4 is input to the compression circuit 5 and the display unit 12, and is input to the motion processing circuit 9 and the motion vector calculation circuit 11.
The compression circuit 5 performs compression processing on the input image data, and the compressed image data includes incidental data related to the image data (accumulation time information of the image sensor 1, compression rate information of the compression operation by the compression circuit 5, etc.). At the same time, it is recorded on the recording medium 6.

A screen corresponding to the image data output from the processing circuit 4 or a screen corresponding to the image data output from the motion processing circuit 9 is selectively displayed on the display unit 12 under the control of the control circuit 10. Further, the display image of the display unit 12 is fixed (frozen) as necessary under the control of the control circuit 10.
A function for decoding the compressed image data is added to the compression circuit 5, and an image corresponding to the compressed image data recorded on the recording medium 6 is displayed on the display unit 12 based on the control of the control circuit 10. It is good also as a possible structure.

  The motion processing circuit 9 performs a later-described motion process on the input image data based on the output of the motion vector calculation circuit 11 and outputs the image data subjected to the motion process to the compression circuit 5 and the display unit 12. To do. The compression circuit 5 compresses the image data that has been subjected to the motion processing and records it on the recording medium 6. The display unit 12 displays the image data on which the motion process has been performed under the control of the control circuit 10.

  In FIG. 1, the operation unit 7 instructs to start capturing and recording continuous images. The shooting mode setting unit 8 sets the shooting mode. By operating the shooting mode setting unit 8, the operator captures a moving image capturing mode, a still image capturing mode, and a continuous image that is used as a still image and that can be used as a moving image with little blurring. One imaging mode is selected from the imaging modes (hereinafter referred to as a still image / moving image imaging mode), and the start of imaging is instructed by operating the operation unit 7. Here, the present invention is directed to a still image / moving image capturing mode.

Each unit such as the display unit 12 and the recording medium 6 shown in FIG. 1 may be provided as an individual device. For example, when the display unit 12 and the recording medium 6 are provided as individual devices, a connection connector (an antenna in the case of wireless connection) is provided to realize electrical connection with the display unit 12 and the recording medium 6. .
The operation of the image processing system shown in FIG. 1 will be described below when the still image / moving image capturing mode is selected by the operation of the shooting mode setting unit 8.

A still image / moving image capturing mode is selected by operating the shooting mode setting unit 8, and the start and recording of continuous imaging are instructed by the operation unit 7. As a result, the control circuit 10 sets the electronic shutter time (charge accumulation time) of the image sensor 1 so as to reduce image blur. As a result, an image used as a still image can be acquired.
The image data output from the image sensor 1 is subjected to the predetermined processing (DC reproduction, A / D conversion, etc.) as described above in the processing circuit 4.

The image data output from the processing circuit 4 is input to the compression circuit 5 as a plurality of continuous still image data, subjected to data compression processing, and then input to the recording medium 6. In this way, a high-quality still image with a few image blurs is recorded on the recording medium 6.
The image data output from the processing circuit 4 is input to the motion vector calculation circuit 11 and the motion processing circuit 9 as moving image image data, and subjected to motion processing.

The motion vector calculation circuit 11 extracts a motion region in the image region based on a plurality of image data input continuously in time, calculates a motion vector, and calculates the motion speed of the extracted motion region. Determine the magnitude of the motion vector.
Next, motion region extraction and motion vector calculation processing performed by the motion vector calculation circuit 11 will be described.

First, extraction of a region that moves with time in the screen will be described. Specifically, the difference between the target frame and a frame temporally prior to the target frame, and the difference between the target frame and a frame temporally subsequent to the target frame, and two frames preceding and following in time It is calculated by calculating an area having a change between them and calculating the logical product of both differences.
FIG. 2 is a diagram for explaining the principle of extracting a motion region.

FIG. 2A shows a state in which the subject 17 moves in the right direction on the screen at a constant speed in three frames F of tx−1, tx, and tx + 1 that are temporally continuous.
In order to extract the motion region, the absolute value of the difference between the image data at time tx-1 and the image data at time tx, and the absolute value of the difference between the image data at time tx and the image data at time tx + 1 are calculated. Compared with a predetermined level, areas 18 and 19 that have changed between consecutive frames F are extracted (see FIG. 2B). The above processing is performed for each pixel. The predetermined level may be a value exceeding the noise component normally included in the image data, for example. This is because it is apparent that the pixel has changed (moved).

The motion region 20 is extracted by obtaining an overlap region of two regions that have been changed in time extracted in this way by AND operation (see FIG. 2C). Needless to say, this processing is also performed for each pixel.
It can be seen that the position of the extracted motion region 20 within the frame F matches the position of the subject 17 at time tx shown in FIG.

The motion vector calculation circuit 11 determines a region slightly wider than the extracted motion region 20 as a new motion region 20 so as to include the boundary between the motion region extracted in this way and the still region. .
The above processing is continuously performed on the moving image data input to the motion vector calculation circuit 11, and the moving region 20 is extracted for each frame F constituting the moving image.

The motion region 20 thus extracted is divided into a plurality of blocks in each frame F, and pattern matching is performed for each block between adjacent frames F, thereby calculating a motion vector for each block. Is done.
Hereinafter, the motion processing circuit 9 shown in FIG. 3 will be described. The motion processing circuit 9 is a characteristic part of this embodiment together with the motion vector calculation circuit 11 shown in FIG.

The motion processing circuit 9 shown in FIG. 3 multiplies input image data X _i by K times (where 0 ≦ K ≦ 1) and image data Y _i-1 delayed by one frame by (1−K) times. In this configuration, the data are added together and sequentially written in the delay memory (Y _i = K * X _i + (1−K) * Y _i−1 ).
As shown in FIG. 3, the motion processing circuit 9 is connected to a terminal 91 based on motion information (motion vector information and motion area information of each divided block) input from the motion vector calculation circuit 11 via a terminal 93. A moving image in which low-pass filter processing (cyclic addition processing) in the time axis direction is performed on image data of continuous still images that are input, and then low-pass filter processing is performed in the time axis direction from the terminal 92 Output data. Hereinafter, execution of the low-pass filter process in the time axis direction will be described with reference to FIG.

  The image data (for each pixel) of continuous still images input from the terminal 91 is multiplied by K by a multiplier 95 (where K is 0 ≦ K ≦ 1), and the output of the multiplier 96 is Are added by an adder 97. The output of the adder 97 is output from the terminal 92 and also input to the frame memory 98. The frame memory 98 holds the input image data for a predetermined period based on the read / write control signals of the frame memory 98 by the control circuit 10 (see FIG. 1) input via the terminal 99, and then the multiplier Output to 96.

The multiplier 96 multiplies (1−K) times the image data output from the frame memory 98, outputs the multiplication result to the adder 97, and the moving image data output from the multiplier 95 Cyclic addition is sequentially performed for each pixel.
The holding period of the frame memory 98 is controlled so that the image data output from the multiplier 95 and the image data output from the multiplier 96 have the same pixel position on the screen.

Here, the value of the coefficient K of the multiplier 95 and the value of the coefficient (1-K) of the multiplier 96 are configured to be controllable for each pixel position or area position by the coefficient control circuit 94. The coefficient control circuit 94 controls the value of the coefficient K described above based on the motion information input from the terminal 93.
In the above operation, as shown in FIG. 3, the multiplier 96, the adder 97, and the frame memory 98 form a recursive filter.

  Next, the correspondence with the claims will be described. That is, the motion vector calculation means described in the claims corresponds to the motion vector calculation circuit 11, the storage means corresponds to the frame memory 98, the calculation means corresponds to the multipliers 95 and 96, the adder 97, etc., and the coefficient control Means correspond to the coefficient control circuit 94. The correspondence relationship between the above-described claims and the embodiments shows an example of interpretation and is not limited to this.

Next, the operation of the cyclic filter will be described using a specific example.
FIG. 4 shows how the subject images X and Y having a high-intensity part (thick line portions in FIGS. 4A and 4B) move rightward on the imaging surface of the image sensor 1. It is a thing. Here, tx−2, tx−1, tx, tx + 1, and tx + 2 indicate times when continuous image capturing is performed by the image sensor 1, and a case where the time interval is constant will be described for simplicity.

FIG. 4A shows a state in which the subject image X moves at a constant speed on the imaging surface of the imaging device 1. FIG. 4B shows a state where the subject image Y moves at a constant speed on the imaging surface of the imaging device 1 at a low speed. In FIGS. 4A and 4B, the subject images at each time are shown slightly shifted in the vertical direction of the paper in order to easily identify the subjects X and Y at each time.
The motion vector calculation circuit 11 (see FIG. 1) extracts a motion region using image data obtained at each imaging time. As can be easily understood from the above-described principle of motion region extraction, the position of the motion region in the image obtained at each imaging time is the same as the positions of the subject images X and Y shown in FIGS. It will be a thing.

  The motion vector calculation circuit 11 divides a region including the extracted motion region in the screen into a plurality of blocks and calculates a motion vector for each block (see FIG. 2C), but FIG. In the example of b), since the subject images X and Y move in the same direction at a constant speed, the movement amount and the movement direction of the subject images X and Y do not change at each moving time. That is, the direction and the magnitude of the motion vector are the same in each block of the motion area extracted at each moving time.

  The motion vectors at each time of the subject images X and Y calculated in this way are indicated by arrows in FIGS. 4 (a) and 4 (b). Here, it is assumed that the magnitudes of the motion vectors shown in FIGS. 4A and 4B are 200 and 100, respectively. That is, in FIG. 4 (a), the subject image X moves 200 pixels in the right direction on the screen between consecutively captured frames, and in FIG. 4 (b), between consecutively captured frames, The subject image Y has moved 100 pixels in the right direction on the screen.

  4 (a) and 4 (b), the number of pixels in the horizontal direction of the screen is 1024 pixels, the number of pixels in the vertical direction is 768 pixels, the number of horizontal pixels of the subject images X and Y is 200 pixels, and the vertical direction is the same. , The data value of the subject image X, Y portion is 8, the data value of the high luminance portion is 16, and the data value of the still portion (background portion) is 0. Here, the data value is a value when the image data is represented by 8-bit (0 to 255) luminance.

The coefficient control circuit 94 performs control so that the value of the coefficient K decreases as the magnitude of the motion vector increases. That is, the larger the movement, the smaller the value of K and the afterimage is added to realize a smooth movement.
For example, the coefficient control circuit 94 sets the value of the coefficient K to 1/4 when the magnitude of the motion vector is 200 for the area including the area extracted as the motion area at the times tx−2 to tx + 2. Assuming that the size is controlled to ½ when the size is 100, the images displayed on the display unit 12 in FIG. 1 at the respective times in FIGS. 4A and 4B are the left side of FIG. Shown on the left.

Further, in the image displayed on the left side of FIG. 5 and the image displayed on the left side of FIG. 6, the numbers written together are the data values (luminance levels) of each region, and the third decimal place is rounded off. The value is shown.
The right side of FIG. 5 and the right side of FIG. 6 also show the change in the data value (luminance level) in the horizontal direction at the center of the screen, corresponding to the image at each time.

Here, for simplicity, in FIGS. 4A and 4B, the positions of the subject images X before time tx-2 and after time tx + 2 are the subject images X and Y at time tx-2 and time tx + 2, respectively. It shall be the same as the position of.
For comparison, when the coefficient control circuit 94 controls the value of the coefficient K to 1/2 when the magnitude of the motion vector is 200 and 1/4 when the magnitude of the motion vector is 100, FIG. Changes in the image at each time of (a) and (b) and the data value (luminance level) in the horizontal direction in the center of the screen are shown in FIGS. 7 and 8, respectively, as in FIGS.

  For example, looking at the luminance level at time tx + 1 in FIG. 5, it can be seen that the afterimage effect of the subject image is greater than the luminance level at time tx + 1 in FIG. That is, the luminance level at time tx + 1 in FIG. 5 increases at the rear left portion of the image position, and the luminance level at time tx + 1 in FIG. 7 decreases at the rear left portion of the image position. This means that at time tx + 1 in FIG. 5, the afterimage effect is large for the moving subject and the resolution in the time direction is deteriorated, whereby a moving image with smooth motion can be obtained.

  On the other hand, when looking at the luminance level at time tx + 1 in FIG. 6, the afterimage effect of the subject image is small compared to the luminance level at time tx + 1 in FIG. 8, but the luminance level at time tx + 1 in FIG. Small), it can be seen that the luminance level of the moving subject image is large (the luminance level at time tx + 1 in FIG. 6 is large at the right front portion of the image position). That is, when the movement of the subject is small, an afterimage effect is provided so as to reduce deterioration of the resolution of the moving subject image in the screen.

  Note that Non-Patent Document 1 shows that the visual resolution decreases when the object is moving. Further, FIG. 2.14 of Non-Patent Document 1 shows that the higher the temporal frequency, the lower the relative sensitivity at a higher spatial frequency. In other words, if the moving speed of the subject is high, the visual resolution decreases, so that even if the resolution of the image itself is low, it can be recognized as a smooth moving image. On the contrary, if the moving speed of the subject is slow, the visual resolution does not decrease. Therefore, if the resolution of the image is not increased, it is recognized as a blurred moving image.

Comparing FIG. 5 and FIG. 6, the level of the high luminance portion of FIG. 5 is smaller than the level of the high luminance portion of FIG. It can be seen that a large afterimage effect is obtained.
On the other hand, it can be seen that FIG. 6 where the motion is small is smaller in the afterimage effect than FIG. 5 where the motion is large, but the level of the high luminance portion is large and the resolution characteristics in the screen are improved.

In this way, a smooth moving image can be obtained with a low-resolution image for a large-motion image, and a visual resolution for a small-motion image compared to a large-motion image. Can improve the moving image.
As described above, by changing the value of the coefficient K according to the magnitude of the movement of the subject image, it is possible to obtain a smooth moving image even when the movement is large, and when the movement is small. However, it is possible to obtain a moving image with smooth movement while preventing deterioration of the resolution within the screen.

In the above description, the motion processing circuit 9 has been described using the example shown in FIG. 3, but instead of this, for example, the configuration shown in FIG. 9 or the configuration using the lookup table shown in FIG. Also good.
The motion processing circuit 9 shown in FIG. 9 is configured to take a difference between input image data and 1-frame delayed image data, multiply the difference by (1−K), and subtract from the input image data. The same function as shown in FIG. 3 can be realized. That is, it is a circuit that realizes the motion processing circuit 9 by the following equation.

_{Y i = X i - (1} -K) * (X i -Y i-1)
Further, the motion processing circuit 9 shown in FIG. 10 constructs the lookup table 100 from the relationship between the value of the input image data and the one-frame delayed image data in advance without performing the above-described calculation. The output is read according to the frame delay image data.

  In the above description, an example in which a single subject image (X or Y) moves on the imaging surface of the imaging device 1 has been described. However, the present invention is not limited to this. For example, the subject image X moves on the upper part of the imaging surface at the speed shown in FIG. 4A, and the subject image Y moves on the lower part of the imaging surface in FIG. The present invention can also be applied when a plurality of subject images move on the imaging surface, such as moving at the speed shown in b). Even in this case, the value of the coefficient K for the area including the moving area of the fast-moving subject image is set smaller than the coefficient K for the area including the moving area of the slow-moving subject image.

In the above-described embodiment, the motion processing circuit 9 performs low-pass filter processing (cyclic addition processing) based on input image data and image data delayed by one frame. However, the present invention is not limited to using image data delayed by one frame, and can be realized by using image data delayed by a plurality of frames.
In the above-described embodiment, the motion processing circuit 9 is operated in units of frames. However, the present invention is not limited to this, and the motion processing circuit 9 may be operated in units of fields. Here, the field means that the screen is composed of two fields obtained by scanning one frame with every other scanning line. When a field is used, a field memory is used instead of the frame memory 98 shown in FIGS. Even in this case, the present invention can be realized using image data delayed by a plurality of fields.

In the above-described embodiment, the value of K is set to two values of 1/2 and 1/4. However, the present invention is not limited to this, and the value of K is 0 ≦ K. An arbitrary value can be taken in the range of ≦ 1. Further, even when the value of K is set, the value of K to be set is not limited to two.
In the above-described embodiment, an example in which the cyclic moving image processing apparatus is applied to an imaging apparatus has been described. However, the present invention is not limited to this, and the present invention is not limited to this. However, the same applies.

In such an apparatus, an image of one frame is divided into a plurality of blocks, a motion vector is calculated for each block, and based on the magnitude and direction of the motion vector of each block, panning of the image, Determine movements and scene changes.
Here, the motion area at the time of a general scene change is the entire screen, and the magnitude and direction of the motion vector cannot be calculated (even if it can be calculated, it is random in each block). In such a case, it is determined that the input image is in the scene change state, the value of the coefficient K is set to 1 regardless of the magnitude of the motion vector, and cyclic moving image processing is not performed. That is, the input image data is output as it is without any calculation being performed on the input image data. This corresponds to claim 4.

On the other hand, in the case of panning an image, the motion area is the entire screen, and the motion vector of each block is almost constant in both size and direction. In such a case, as described above, the value of the coefficient K is decreased as the amount of motion is increased.
The case where the subject moves is as described in the above embodiment.
Further, even when the image is enlarged or reduced, the motion region is the entire screen, and the direction of the motion vector is diffused or concentrated around the center point of enlargement or reduction. Whether the image is enlarged or reduced is determined based on the direction of the motion vector, and when the amount of motion is large, the value of the coefficient K is decreased as in the description of the above embodiment.

  The determination of the motion amount may be performed by comparing a predetermined threshold value with the magnitude of the motion vector. When the magnitude of the motion vector becomes larger than a predetermined threshold, the value of the coefficient K is decreased. Further, the value of the coefficient K may be continuously changed depending on the magnitude of the motion vector. The scene change is discriminated based on the range of the motion region and the direction and size of the motion vector. In this case, as in the above description, the value of the coefficient K is set to 1 regardless of the size of the motion vector. Do not perform type moving image processing.

  The motion form determination of these images is performed in the motion vector calculation circuit 11 shown in FIG.

  INDUSTRIAL APPLICABILITY The present invention can be used industrially in various fields that handle still images and moving images, such as imaging devices, image recording devices, and image playback devices.

It is a block diagram which shows an example of the image processing system using the cyclic | annular moving image processing apparatus of this invention. It is a figure for demonstrating the extraction principle of a motion area. It is a figure which shows the example of a motion processing circuit. (A) shows a state where the subject image X moves at a high speed on the imaging surface of the imaging device, and (b) shows a state where the subject image Y moves at a low speed on the imaging surface of the imaging device. It is. It is a figure which shows the change of the luminance level in the screen center horizontal direction corresponding to the image in each time. It is a figure which shows the change of the luminance level in the screen center horizontal direction corresponding to the image in each time. It is a figure which shows the change of the luminance level in the screen center horizontal direction corresponding to the image in each time. It is a figure which shows the change of the luminance level in the screen center horizontal direction corresponding to the image in each time. It is a figure which shows the other example of a motion processing circuit. It is a figure which shows the other example of a motion processing circuit.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Imaging device 2 Imaging lens 3 Imaging device drive circuit 4 Processing circuit 5 Compression circuit 6 Recording medium 7 Operation part 8 Shooting mode setting part 9 Motion processing circuit 10 Control circuit 11 Motion vector calculation circuit 12 Display part 13 Aperture device 14 Aperture drive circuit DESCRIPTION OF SYMBOLS 15 Lens drive circuit 16 Zoom operation part 17 Subject | subject 18,19 The area | region changed between continuous frames 20 Motion area 94 Coefficient control circuit 98 Frame memory 100 Look-up table F Frame K coefficient

Claims (4)

A motion vector calculating means for extracting a motion region of input image data and calculating a motion vector from image data of a plurality of fields or a plurality of frames temporally different for the motion region;
Storage means capable of storing the input image data in field or frame units;
The input image data is multiplied by K (0 ≦ K ≦ 1), and at least one field previous image data or at least one frame previous image data output from the storage means is (1−K) times. And a calculation means for performing a cyclic calculation for adding the K-folded image data and the (1-K) -folded image data output from the storage means,
And a coefficient control means for controlling the change so that the value of the coefficient K becomes smaller as the magnitude of the motion vector calculated by the motion vector calculation means becomes larger. The cyclic moving image processing apparatus according to claim 1,
The cyclic control unit, wherein the coefficient control unit performs change control so that the value of the coefficient K decreases as the size of a motion vector increases for a region including the extracted motion region. The cyclic moving image processing apparatus according to claim 1,
The coefficient control means includes
A cyclic moving image processing apparatus, wherein a change control is performed so that the value of the coefficient K decreases as the size of a motion vector increases for each of the plurality of extracted motion regions. In the cyclic | annular moving image processing apparatus as described in any one of Claims 1 thru | or 3,
The motion vector calculation means detects a scene change of the input image data according to the size of the motion region and the size and direction of the calculated motion vector,
The coefficient control means sets the value of K to 1 regardless of the magnitude of the motion vector when the scene change is detected by the motion vector calculation means. apparatus.

Images