JP2003179886A - Image processing apparatus and method, recording medium, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processing apparatus that can discriminate whether a pixel of a field image belongs to a stationary part or a moving part with high accuracy. <P>SOLUTION: A motion detection confirmation section 38 determines an evaluation value of a pixel of a motion detection object on the basis of an inter-frame difference received from an inter-frame difference calculation section 31 and an inter-field difference received from an inter-field difference calculation section 32. Further, the motion detection confirmation section 38 adjusts a threshold value used for motion detection on the basis of a detection result of an edge detection section 34, a discrimination result of a full image still discrimination section 35, a detection result of a repetitive pattern detection section 36, and a discrimination result of the still discrimination section 37. Moreover, the motion detection confirmation section 8 adjusts a threshold value used for motion detection on the basis of motion vector detection information received from a motion vector detection section 13. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing apparatus and method, a recording medium, and a program, for example,
The present invention relates to an image processing apparatus and method, a recording medium, and a program suitable for use in detecting the movement of each pixel in a field image in a series of processes for converting an interlaced video signal into a progressive video signal. .

[0002]

2. Description of the Related Art A video signal from a television broadcast or a video signal recorded on a recording medium such as a video cassette or a DVD (Digital Versatile Disc) is an interlaced system in which ODD field images and EVEN field images are alternately arranged. Is.

In contrast to the interlace system, a video signal in which frame images having a vertical resolution twice as high as a field image are continuously arranged is called a progressive system.

Conventionally, an interlaced video signal (hereinafter referred to as an interlaced video signal) is a progressive video signal (hereinafter referred to as a progressive video) for the purpose of displaying a high-quality video having a higher vertical resolution. There is a television receiver, a DVD player, etc. that can be displayed after being converted to a signal).

When converting an interlaced video signal into a progressive video signal, two field images are used for a still part in the image and one field image is used for a moving part. As a pre-process of such a process, a motion detection process is performed to detect a moving part in the field image (that is, to determine a stationary part and a moving part in the field image).

[0006]

By the way, in the conventional motion detection processing, since the detection accuracy is not sufficient, there is a case where a portion which actually moves is erroneously determined as a stationary portion. .

In such a case, in the process of converting into a progressive video signal, two field images that actually move (that is, a same object Therefore, there is a problem in that the corresponding portion of the converted progressive video signal becomes an unnatural video with blurring because two images whose positions are displaced) are used.

On the contrary, there is a case where a portion which is actually stationary is erroneously determined as a moving portion. In such a case, in the process of converting into the progressive video signal, the amount of information is insufficient because only one field image is actually used for the still portion, and the converted progressive video signal However, there was a problem that the resolution of the corresponding part of the image was reduced.

The present invention has been made in view of such a situation, and it is possible to determine with high accuracy whether a pixel of a field image belongs to a stationary portion or a moving portion. The purpose is to do.

[0010]

An image processing apparatus according to the present invention comprises a calculating means for calculating a motion vector corresponding to a pixel on a field image using a plurality of field images forming an interlaced video signal. A determination unit that determines whether or not the pixel on the field image belongs to a moving portion, and the determination unit determines the pixel on the field image based on the motion vector detection information supplied from the calculation unit. On the other hand, it is characterized in that the threshold value for determining whether or not it belongs to a moving portion is adjusted.

The image processing apparatus of the present invention uses the one or two field images corresponding to the judgment result of the judgment means and forming the interlace type video signal, and the frame image forming the progressive type video signal. It may further include generation means for generating.

The image processing apparatus of the present invention may further include edge detecting means for detecting an edge on the field image, and the judging means determines the pixel on the field image based on the detection result of the edge detecting means. On the other hand, it is possible to adjust the threshold value for determining whether or not the moving portion belongs.

The image processing apparatus of the present invention may further include full-screen stillness determining means for determining whether or not the entire screen of the field image is still, and the determining means may determine the full-screen stillness determining means. Based on the result as well, it is possible to adjust the threshold for determining whether or not the pixel on the field image belongs to a moving portion.

The image processing apparatus of the present invention may further include repetitive pattern detecting means for detecting whether or not a repetitive pattern is present on the field image, and the determining means determines the detection result of the repetitive pattern detecting means. Based on the above, it is possible to adjust the threshold for determining whether or not the pixel on the field image belongs to a moving portion.

The image processing method of the present invention uses a plurality of field images forming an interlaced video signal to calculate a motion vector corresponding to a pixel on the field image, and a pixel on the field image. On the other hand, including a determination step of determining whether or not it belongs to a moving portion, the processing of the determination step, based on the motion vector detection information supplied from the calculation step,
A feature is that a threshold for determining whether or not a pixel on the field image belongs to a moving portion is adjusted.

The recording medium program of the present invention uses a plurality of field images forming an interlaced video signal to calculate a motion vector corresponding to a pixel on the field image, and a calculation step on the field image. A determination step of determining whether or not the pixel belongs to a moving part, and the processing of the determination step is performed on the pixel on the field image based on the motion vector detection information supplied from the calculation step. On the other hand, it is characterized in that the threshold value for determining whether or not it belongs to a moving portion is adjusted.

The program of the present invention uses a plurality of field images that form an interlaced video signal,
The computer is caused to execute a calculation step of calculating a motion vector corresponding to a pixel on the field image, and a determination step of determining whether or not the pixel on the field image belongs to a moving portion. The processing is characterized by adjusting a threshold value for determining whether or not a pixel on the field image belongs to a moving portion based on the motion vector detection information supplied from the calculation step. .

In the image processing apparatus and method and the program of the present invention, a motion vector corresponding to a pixel on a field image is calculated using a plurality of field images forming an interlaced video signal, and the field image is calculated. It is determined whether or not the upper pixel belongs to a moving portion. In the determination processing, the threshold for determining whether or not the pixel on the field image belongs to a moving portion is adjusted based on the motion vector detection information supplied from the calculation processing.

[0019]

BEST MODE FOR CARRYING OUT THE INVENTION A configuration example of a DVD player to which the present invention is applied will be described with reference to FIG. This DVD player 1 reads out an interlaced video signal recorded on a DVD 2 and converts it into a progressive video signal,
It is output to the display 3. In the following, data relating to audio recorded on the DVD 2 will not be referred to, and only data relating to video will be referred to.

The DVD player 1 reads a coded data recorded on the DVD 2, for example, coded by the MPEG2 system, and a read unit 11 that decodes the read coded data to generate an interlaced video signal. An MPEG decoding unit 12, for example, a block matching method is applied, a motion vector detecting unit 13 for detecting an inter-field motion vector of each pixel forming a field image of an interlaced video signal, and a motion including the detected inter-field motion vector. The motion detection unit 14 detects the motion of each pixel in the field image using the vector detection information, and interpolates the pixel in the motion part using one field image, the pixel in the stationary part in the image Is interpolated using two front and back field images, and a moving part output from the motion detection unit 14 is interpolated. It generates a frame image in combination with the configured progressive conversion unit 15, and a progressive video signal comprising a generated frame image from the signal output unit 16 for outputting to the display 3.

The motion vector detecting unit 13 is replaced by the motion detecting unit 14.
The motion vector detection information to be output to, in addition to the inter-field motion vector, the inter-frame motion vector, the evaluation value when the motion vector is detected, the average value of the evaluation value,
It includes a pixel difference calculation result when the evaluation value is calculated.

The invention previously proposed by the present applicant as Japanese Patent Application No. 2001-378884 can be applied to the motion vector detecting section 13.

The display 3 displays an image corresponding to the input progressive image signal.

Next, the motion vector detecting section 13 through the program.
Interlaced video signal input to the recessive conversion unit 15
Will be described with reference to FIG. Below, the interlace
Of three consecutive field images that make up the video signal
Of these, the reference field image is F_tAnd write
Image F_tThe field image one field before is F
_t-1Field image F_t-1One field before
Field image is F_t-2Write. Field image F_t
And field image F_t-2Are in phase and the field image
Statue F_t-1And field image F_t-2Are out of phase.

The field images F _t sequentially output from the MPEG decoding unit 12 are input to the motion vector detecting unit 13, the motion detecting unit 14, and the field memory 21.
The field memory 21 stores the input field image F.
_The field image F _{t-1 is} delayed by delaying _t by one field period.
As the motion vector detection unit 13, the motion determination unit 14, the progressive conversion unit 15, and the field memory 22.
Output to. The field memory 22 delays the input field image F _t-1 by one field period and outputs it as a field image F _t-2 to the motion vector detection unit 13 and the motion determination unit 14.

Therefore, the motion vector detecting unit 13 and the motion detecting unit 14 are supplied with all three continuous field images F _{t to} F _t-2 . The progressive converter 15 has three consecutive field images F.
Output of _t to F field image of the _t-2 F _t-2 and the motion detector 14 will be supplied.

The field memories 21 and 22 shown in FIG.
May be provided between the MPEG decoding unit 12 and the motion vector detecting unit 13 or may be built in the MPEG decoding unit 12.

FIG. 3 shows an example of the structure of the motion detector 14.
There is. The inter-frame difference calculation unit 31 is input from the upper stage.
In-phase field image with an interval of 1 field
Statue F _tAnd field image F_t-2Difference between corresponding pixels of
To determine the full screen stillness determination unit 35 and the motion detection
It is output to the unit 38. In addition, the inter-frame difference calculation unit 31
Records the calculated pixel difference in the memory 33, and
Read after the field cycle, the full-screen stillness determination unit 35,
And output to the motion detection determining unit 38. In addition, the frame
The inter-difference calculation unit 31 uses the field image F_tAnd field
Image F_t-2The pixels of are output to the edge detection unit 34.

The inter-field difference calculating section 32 uses a vertical correction filter or the like for one or both of the continuous field images F _t-1 and F _t-2 having different phases, which are input from the upper stage. After performing the interpolation process, the difference between the corresponding pixels is calculated and output to the repetitive pattern detection unit 36 and the motion detection determination unit 38. Further, the inter-field difference calculation unit 32 outputs the pixels of the field image F _t-1 and the field image F _t-2 to the edge detection unit 34.
Note that the interpolation processing for the field image may use linear interpolation, cubic interpolation, or the like, in addition to the vertical correction filter.

Hereinafter, the relationship between the field image F _t and the field image F _t-2 having the same phase with one field interval left is also described between frames. Further, the relationship between the continuous field images F _t-1 and F _t-2 having different phases is also described between fields.

The edge detection unit 34 is based on the pixels of the field image input from the inter-frame difference calculation unit 31 and the inter-field difference calculation unit 32, and the vicinity of the pixel to be subjected to the motion detection (for example, the pixel and the vertical direction). It is determined whether or not an edge of the object in the image exists between the pixel) and the motion detection determination unit 38. This will be specifically described with reference to FIG.

The field image F not exist in practice on _t, when the pixel P _'7 to be interpolated is subject to motion detection, field image F _t pixel P ₆ and the field image F of
The difference from the pixel P ₄ of _t−1 and the pixel P _{8 of the} field image F _t
And the difference between the pixel P ₄ of the field image F _t-1 and
If the larger difference is sufficiently large, it is determined that an edge exists.

It should be noted, and the difference between the pixel P ₆ of the field image F _t field image F _t-1 of the pixel P _4, field image F _t-1 of the pixel P _3, the smaller the difference of P _4, field compared with the difference between the image F _t pixel P ₈ and the field image F _t-1 of the pixel P ₄ in the case the difference between the larger is large enough, it may be determined that an edge is present. In this case, the edge can be detected with higher accuracy.

Further, similar processing may be performed on pixels adjacent to each of the pixels P ₃ , P ₄ and P _{6 in} the horizontal direction and used for edge determination.

Returning to FIG. The full-screen stillness determination unit 35 determines the motion vector in the field image input from the motion vector detection unit 13 and the difference between corresponding pixels between the frames input from the inter-frame difference calculation unit 31 by a predetermined number of frames. By comparing over time, it is determined whether or not the entire screen is stationary, and the determination result is output to the motion detection confirming unit 38.

Specifically, for example, the number of pixels having a motion vector of 0 in the field image input from the motion vector detection unit 13 and the corresponding pixel between frames input from the interframe difference calculation unit 31. The number of pixels in which the difference between them is smaller than a predetermined size is counted, and if the count value is equal to or smaller than the predetermined number, it is determined that the entire screen is stationary.

The full-screen stillness determination unit 35 can also determine whether or not a predetermined area within the entire screen is still, and output the determination result to the motion detection determination unit 38.

The repetitive pattern detecting section 36 is based on the difference between corresponding pixels between the fields input from the inter-field difference calculating section 32, and the repetitive pattern (for example, a striped pattern or the like) around the pixel to be subjected to the motion detection. ) Is present, and the determination result is output to the motion detection confirming unit 38.

In addition, in the repetitive pattern detecting section 36, for example, when the field image includes an image of a horizontal line which is stationary at the same interval as the horizontal scanning line, the repetitive pattern detecting unit 36 repeats it in a moving part. It may be erroneously determined to be a pattern. In order to compensate for this erroneous determination, the full-screen stillness determination unit 35 described above is provided.

The stillness judging unit 37 is a motion vector detecting unit 1.
Based on the motion vector in the field image input from 3, it is determined whether or not the pixel for which the motion is to be detected is a still pixel, and the determination result is output to the motion detection determination unit 38.

The motion detection determining section 38 is a difference between corresponding pixels between frames input from the inter-frame difference calculating section 31 and a difference between corresponding pixels between fields input from the inter-field difference calculating section 32. Based on
The evaluation value of the pixel that is the target of motion detection is determined.

A specific description will be given with reference to FIG. When determining the evaluation value of the pixel P ′ ₇ which does not actually exist on the field image F _t and is interpolated when the interlaced video signal is converted into the progressive video signal, the inter-frame difference calculation unit 31 determines Field image F supplied
The difference between the pixel P ₉ of _{t + 1} and the pixel P ₄ of the field image F _t−1 , the pixel P ₆ of the field image F _t and the field image F
the difference between the pixel P ₁ of _t-2, and is focused on pixel P ₈ and the field difference image F _t-2 of the pixel P ₂ field images F _t.

In the inter-frame difference calculation unit 31, the pixel P ₉ of the field image F _{t + 1} and the field image F _t
When the difference between the pixel _{t 4} of _{t−1 and} the pixel P ₄ (hereinafter referred to as the inter-frame difference P ₉ P ₄ and the like) is calculated, the frame already calculated in the memory 33 one field period before is calculated. Since the inter-difference P ₆ P ₁ and the inter-frame difference P ₈ P ₂ are recorded, they are used.

Next, the larger _one of the inter-frame difference P ₉ P ₄ and the inter-frame difference P ₆ P _{1 and} the larger one of the inter-frame difference P ₉ P ₄ and the inter-frame difference P ₈ P ₂ are compared. The smaller one is determined as the inter-frame difference evaluation value.

Further, the inter-field difference calculation unit 32 pixel P interpolated field image F _t supplied from 'the difference between the ₇ and the field image F _t-1 of the pixel P ₄ (hereinafter, field difference P' ₇ attention to P ₄ and describing.), to determine the inter-field difference evaluation value.

Further, the inter-frame difference evaluation value is compared with the inter-field difference evaluation value, and the larger one is determined as the motion detection evaluation value.

Returning to FIG. In addition, the motion detection confirmation unit 38
Is the detection result of the edge detection unit 34, the full-screen stillness determination unit 3
Based on the determination result of No. 5, the detection result of the repeated pattern detection unit 36, and the determination result of the stillness determination unit 37, the threshold used for motion detection is adjusted.

That is, in the vicinity of the edge, a portion which is actually stationary is often erroneously determined as a moving portion. Therefore, when the edge is detected and it is determined that the entire screen is stationary. If so, the threshold value for motion detection is adjusted in a direction in which it is easy to determine that the portion is stationary. Further, even when the determination result of the stillness determination unit 37 is still, the threshold value for motion detection is adjusted to a direction in which it is easy to determine that the portion is still.

On the other hand, it is often mistakenly determined that the object having the repeating pattern is stationary even if it is moving. Therefore, when the repeating pattern is detected, the threshold for motion detection is set to
Adjust so that it is easy to determine that there is a moving part. However,
When it is determined that the entire screen is still and the repeated pattern is detected, the determination that the entire screen is still is given priority, and the threshold for motion detection is set as a moving portion. No adjustment is made in the direction that is easy to judge.

Further, the motion detection determining section 38 adjusts the threshold value used for motion detection based on the motion vector detection information input from the motion vector detecting section 13.

For example, based on the motion vector detection information,
The average value of the evaluation values for motion vector detection, the distribution within the search range, and the difference between the detected motion vector and the surrounding evaluation values are calculated, and based on them, the motion vector of the pixel to be the target of motion detection is calculated. When the evaluation value is more prominent than the others and the obtained motion vector indicates that the motion vector is not stationary, the threshold value used for motion detection is adjusted in a direction in which it is easy to determine that there is a motion portion.

Further, the amount of noise included in the image is determined based on the motion vector detection information corresponding to other motion vectors in the field image and the motion vector detection information corresponding to the motion vectors of several previous fields. When the amount of noise is large, it is erroneously determined that there is a moving portion, so the threshold value used for motion detection is adjusted so that it is easy to determine that it is a stationary portion.

When not only the inter-field motion vector but also the inter-frame motion vector is 0, the threshold value used for the motion detection is adjusted to a direction in which it is easy to determine that it is a stationary portion.

The motion detection determining section 38 further compares the determined evaluation value of the pixel with the set threshold value,
It is determined whether the pixel for which the motion is to be detected belongs to a moving portion or a stationary portion, and the determination result is output to the interpolation processing unit 39.

Returning to FIG. The interpolation processing unit 39 interpolates pixels belonging to a moving portion using one field image based on the result of the motion detection of each pixel input from the motion detection determining unit 38, and the progressive conversion unit 15 Output to.

The control unit 40 reads the control program recorded on the recording medium 41 composed of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, and based on the read control program, the motion detection unit 14 Control each part of. In FIG. 3, the control lines from the control unit 40 to each unit are omitted.

Next, the motion detection processing by the motion detection unit 14 will be described with reference to the flowchart of FIG.
This motion detection processing is performed by the progressive conversion unit 15 in the subsequent stage.
The pixel on the field image F _t−2 (including the pixel to be interpolated like the pixel P ′ _{7 in} FIG. 4) corresponding to the pixel on the frame image generated in (4).

In step S1, the inter-field difference calculating section 32 determines the field image F input from the upper stage.
_After one or both of _t-1 and the field image F _t-2 are subjected to interpolation processing using a vertical correction filter or the like, the difference between corresponding pixels is calculated, and the repeated pattern detection unit 3
6 and the motion detection determination unit 38. In addition, the inter-field difference calculation unit 32 outputs the pixels of the field image F _t-1 and the field image F _t-2 to the edge detection unit 34.

In step S2, the inter-frame difference calculation unit 31 calculates the difference between the corresponding pixels of the field image F _t and the field image F _t-2 input from the upper stage, and the full screen stillness determination unit 35, and Motion detection confirmation unit 38
Output to. In addition, the inter-frame difference calculation unit 31
Outputs the pixels of the field image F _t and the field image F _t-2 to the edge detection unit 34.

The process of step S1 and the step S
The processing of 2 may be actually executed in parallel at the same time.

In step S3, the edge detector 34
Determines whether an edge exists in the vicinity of the pixel to be processed based on the pixels of the field image input from the inter-frame difference calculation unit 31 and the inter-field difference calculation unit 32, and the determination result is the motion detection confirmation. It is output to the unit 38. The full-screen stillness determination unit 35 determines the entire screen based on the motion vector in the field image input from the motion vector detection unit 13 and the difference between corresponding pixels between frames input from the inter-frame difference calculation unit 31. It is determined whether or not it is stationary, and the determination result is output to the motion detection confirming unit 38. The repetitive pattern detection unit 36 determines whether or not a repetitive pattern exists around the pixel to be processed based on the difference between the corresponding pixels between the fields input from the inter-field difference calculation unit 32, and the determination result Is output to the motion detection determining unit 38.

In step S4, the motion detection determining section 3
8 determines whether the detection result of the edge detection unit 34 indicates “there is an edge”. "There is an edge"
If it is determined to indicate, the process proceeds to step S5.
In step S5, the motion detection confirming unit 38 determines that the determination result of the full-screen stillness determining unit 35 is “full-screen still”.
Is determined. If it is determined that "all screens are still", the process proceeds to step S6. In step S6, the motion detection determination unit 38 adjusts the threshold value for motion detection in a direction in which it is easy to determine that the part is stationary.

If it is not determined in step S5 that the determination result of the full screen stillness determination section 35 indicates "the entire screen is still", the process proceeds to step S7. In step S7, the motion detection confirming unit 38 determines that the detection result of the repetitive pattern detection unit 36 is “repetitive pattern”.
Is determined. When it is determined that the "repeated pattern" is indicated, the process proceeds to step S8. In step S8, the motion detection determination unit 38 adjusts the threshold value for motion detection in a direction in which it is easy to determine that there is a motion portion.

If it is determined in step S4 that the detection result of the edge detector 34 does not indicate "there is an edge", the processes of steps S5 to S8 are skipped. Further, when it is determined in step S7 that the detection result of the repeated pattern detection unit 36 does not indicate "it is a repeated pattern", the process of step S8 is skipped.

In step S9, the motion detection determining section 3
8 is a pixel to be processed based on the difference between corresponding pixels between frames input from the inter-frame difference calculating unit 31 and the difference between corresponding pixels between fields input from the inter-field difference calculating unit 32. The evaluation value of is calculated.

In step S10, the stillness determination unit 3
7 determines whether or not the pixel to be processed is still based on the motion vector in the field image input from the motion vector detection unit 13, and outputs the determination result to the motion detection determination unit 38. The motion detection confirming unit 38 uses the stillness determining unit 3
It is determined whether or not the determination result of 7 indicates “still pixel”. When it is determined that the pixel is “still pixel”,
The process proceeds to step S11.

In step S11, the motion detection confirming section 38 adjusts the motion detection threshold value in a direction in which it is easy to determine that the part is stationary. In addition, the motion detection confirming unit 38
The threshold used for motion detection is adjusted based on the motion vector detection information input from the motion vector detection unit 13. When it is determined in step S10 that the determination result of the stillness determination unit 37 does not indicate "still pixel", the process of step S11 is skipped.

In step S12, the motion detection confirming section 38 determines the threshold value used for motion detection, reflecting the adjustments made by the processing in steps S6, S8, S11 and the like. In step S13, the motion detection confirming unit 38
Determines whether or not the evaluation value of the pixel to be processed calculated in step S9 exceeds the threshold value determined in step S12. If it is determined that the evaluation value exceeds the threshold value, the pixel to be processed is moving. Determined to belong to the part. Conversely,
When it is determined that the evaluation value does not exceed the threshold value, it is determined that the pixel to be processed belongs to the stationary portion. further,
The motion detection confirming unit 38 outputs the determination result of whether or not the processing target pixel belongs to a moving portion and its evaluation value to the interpolation processing unit 39.

In step S14, the interpolation processing unit 39
Is a pixel on the field image F _t-2, which are determined to belong to the part of the motion, and interpolated using pixels in the vicinity on the same field image F _t-2, and outputs the progressive conversion unit 15.

As described above, the motion detection process for the pixel currently being processed is completed. Note that, in the motion detection process for the pixel to be processed next, the process of step S1, the process of step S2, and the full-screen stillness determination process of step S3 have already been executed. Can be diverted. This is the end of the description of the motion detection process performed by the motion detection unit 14.

As described above, since the motion detecting section 14 also uses the motion vector detection information including the detected inter-field motion vector, the motion of each pixel in the field image can be detected with high accuracy. .

The present invention is not limited to the DVD player,
For example, a television receiver, a video tape recorder,
It can be applied to a video-related device such as a hard disk recorder that converts an interlaced video signal into a progressive video signal.

By the way, the series of processes described above can be executed by hardware, but can also be executed by software. When a series of processes is executed by software, a program that constitutes the software can execute various functions by installing a computer in which dedicated hardware is installed or various programs. If possible, for example in a general-purpose personal computer,
It is installed from the recording medium 41 or the like.

In the present specification, the steps for describing the program recorded on the recording medium are not limited to the processing performed in time series according to the order described, but may be performed in parallel even if the processing is not necessarily performed in time series. Alternatively, it also includes processes that are individually executed.

[0075]

As described above, according to the image processing apparatus and method and the program of the present invention, a plurality of field images forming an interlaced video signal are used to correspond to pixels on the field image. The motion vector is calculated, and it is determined whether or not the pixel on the field image belongs to a moving part. In the determination process, based on the motion vector detection information supplied from the calculation process, the field image on the field image is determined. Since the threshold for judging whether or not the pixel of belongs to a moving part is adjusted, the pixel of the field image belongs to a still part or a moving part. It is possible to determine with high accuracy whether it belongs.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration example of a DVD player to which the present invention is applied.

2 is a block diagram for explaining an interlaced video signal input to a motion vector detection unit 13 to a progressive conversion unit 15 in FIG.

FIG. 3 is a block diagram showing a configuration example of a motion vector detection unit 13.

FIG. 4 is a diagram showing corresponding pixels of field images F _{t + 1 to} F _t-2 .

5 is a flowchart illustrating a motion vector detection process by the motion vector detection unit 13. FIG.

[Explanation of symbols]

1 DVD player, 13 motion vector detector, 1
4 motion detector, 15 progressive converter, 3
1 frame difference calculation unit, 32 field difference calculation unit, 34 edge detection unit, 35 full screen stillness determination unit, 36 repeated pattern detection unit, 37 stillness determination unit, 38 motion detection confirmation unit, 39 interpolation processing unit, 4
0 control unit, 41 recording medium

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Katsunari Miyata             6-735 Kita-Shinagawa, Shinagawa-ku, Tokyo Soni             -Inside the corporation (72) Inventor Masashi Ota             6-735 Kita-Shinagawa, Shinagawa-ku, Tokyo Soni             -Inside the corporation F-term (reference) 5C063 AB03 AC01 BA04 BA12 CA07                       CA09 CA34 CA38                 5C082 AA02 BA12 BA41 BB03 BB22                       BC03 BC05 CA81 CA84 CB01                       DA86 MM10

Claims (10)

[Claims] 1. An image processing device for converting an interlaced video signal into a progressive video signal, wherein a plurality of field images forming the interlaced video signal are used to display pixels on the field image. It includes a calculating means for calculating a corresponding motion vector and a judging means for judging whether or not the pixel on the field image belongs to a moving portion, and the judging means is supplied from the calculating means. An image processing apparatus, which adjusts a threshold value for determining whether or not a pixel on the field image belongs to a moving portion based on the motion vector detection information. 2. A frame image forming the progressive video signal is generated using one or two field images corresponding to the judgment result of the judging means and forming the interlace video signal. The image processing apparatus according to claim 1, further comprising a generation unit. 3. The image processing apparatus according to claim 1, wherein the motion vector detection information includes an inter-field motion vector corresponding to a pixel. 4. The motion vector detection information includes an evaluation value corresponding to the inter-field motion vector, a pixel difference calculation result when the evaluation value is calculated, and an evaluation value corresponding to the inter-field motion vector candidate. The image processing apparatus according to claim 3, further comprising at least one of an inter-frame motion vector and an inter-frame motion vector. 5. An edge detecting unit for detecting an edge on the field image is further included, and the judging unit has a motion on a pixel on the field image based on a detection result of the edge detecting unit. The image processing apparatus according to claim 1, wherein a threshold value for determining whether or not the portion belongs is adjusted. 6. A full-screen stillness determining unit that determines whether or not the entire screen of the field image is still, the determining unit including the full-screen stillness determining unit based on the determination result of the full-screen stillness determining unit. The image processing apparatus according to claim 5, wherein a threshold for determining whether or not a pixel on the image belongs to a moving portion is adjusted. 7. The repeating pattern detecting means for detecting whether or not a repeating pattern exists on the field image, wherein the judging means is arranged on the field image based on a detection result of the repeating pattern detecting means. The image processing apparatus according to claim 5, wherein a threshold value for determining whether or not the pixel of (3) belongs to a moving portion is adjusted. 8. An image processing method of an image processing apparatus for converting an interlaced video signal into a progressive video signal, wherein a plurality of field images constituting the interlaced video signal are used for the field image. A calculation step of calculating a motion vector corresponding to the upper pixel, and a determination step of determining whether or not the pixel on the field image belongs to a moving portion, the process of the determination step, An image characterized by adjusting a threshold for determining whether or not a pixel on the field image belongs to a moving part based on the motion vector detection information supplied from the process of the calculating step. Processing method. 9. A program for converting an interlaced video signal into a progressive video signal, wherein a plurality of field images constituting the interlaced video signal are used to display on the field image. A calculation step of calculating a motion vector corresponding to the pixel; and a judgment step of judging whether or not the pixel on the field image belongs to a moving part, wherein the processing of the judgment step includes the calculation Based on the motion vector detection information supplied from the process of step, the computer adjusts a threshold for determining whether or not the pixel on the field image belongs to a moving part. A recording medium in which possible programs are recorded. 10. A computer for converting an interlaced video signal into a progressive video signal, wherein a plurality of field images forming the interlaced video signal are used to correspond to pixels on the field image. A calculation step of calculating a motion vector and a determination step of determining whether or not the pixel on the field image belongs to a moving portion are executed, and the processing of the determination step is the processing of the calculation step. A program for adjusting a threshold value for determining whether or not a pixel on the field image belongs to a moving portion based on the motion vector detection information supplied from the program.