KR20140138358A - Apparatus and method for de-interlacing using Local motion compensation - Google Patents

Abstract

An apparatus for deinterlacing motion compensation by an area classification according to an embodiment of the present invention includes: a delay device which delays an inputted image field; a bidirectional motion processing unit which includes a motion vector detecting unit for detecting a reverse direction motion vector and a forward direction motion vector from each block after dividing the image field delayed in the delay device into blocks of a predetermined size, a block motion flag setting unit for setting the motion flag of each block by using the size of the reverse direction motion vector and forward direction motion vector of each block detected in the motion vector detecting unit, and a partial motion flag processing unit for calculating a partial motion flag count of blocks within a predetermined range by using a block motion flag set in the block motion flag setting unit and calculating a three-dimensional partial motion flag count of the blocks within a predetermined range by summing partial motion flag counts of multiple image fields arranged on a time axis; and a reference block generator which includes an image processing unit for receiving an image field delayed in the delay device and generating and outputting a progressive image by a line average algorithm and a progressive image by a field insertion algorithm respectively, and a reference block processing unit for selecting and outputting any one image block, between the progressive image by the line average algorithm and the progressive image by the field insertion algorithm, as a reference block by using the three-dimensional partial motion flag count generated in the partial motion flag processing unit.

Description

BACKGROUND OF THE INVENTION Field of the Invention [0001] The present invention relates to a motion compensating deinterlacing apparatus and method,

The present invention relates to an apparatus and method for motion compensation deinterlacing based on region classification, and more particularly, to an apparatus and method for motion compensation deinterlacing based on region classification, And more particularly, to a motion compensation deinterlacing apparatus and method using a region classification that outputs a block of a reference image having high reliability in a case where the reliability is low to obtain a higher quality image.

In general, users want to buy expensive high-definition TVs and provide them with high-quality screens. The current TV signal is transmitted as an NTSC signal divided into an even field and an odd field. When displaying the TV signal on a cathode ray tube, the cathode ray tube provides an image of a quality suitable for human viewing according to the physical characteristics of the cathode ray tube.

The high-definition TV uses a display device such as an LCD or a PDP, and these display devices follow a progressive scanning method in which signals are continuously provided. Therefore, a deinterlacing algorithm is required to track the information transmitted in half by the transmitting end and to reconstruct the image sequentially. The deinterlacing algorithm that finds and restores the information removed from the received current image field in the previous or next field is a necessity since the specification of the NTSC signal has been established.

The conventional TV display method performs the same operation as the field insertion deinterlacing. This method is good for less moving images but produces poor quality images for many moving images. In reality, however, the physical characteristics of existing TV CRTs and the human visual system compensate them appropriately for an average quality.

The deinterlacing algorithm can be broadly classified into a motion adaptive deinterlacing algorithm that detects motion and determines new motion information and a motion compensated deinterlacing algorithm that compensates motion to generate new information.

The motion adaptive deinterlacing algorithm detects the degree of motion and performs interpolation appropriately. There is an interpolation algorithm using the median filter as the simplest motion adaptive algorithm. The interpolation algorithm using the median filter will bring pixels that are subject to motion adaptation by interpolating the pixels that are one line above the current pixel and one pixel below the current interpolation pixel and the median of the pixels of the previous screen.

There is also a Grand Alliance - HDTV (GA-HDTV) algorithm. The GA-HDTV algorithm tracks the extent of edge movement in addition to motion, and shows excellent performance by detecting and applying 5 fields of motion to both front and back fields based on the current field. However, since it requires 5 fields of memory, it requires a lot of memory.

The Pixel Classifier algorithm stores five fields, compares the values of the three fields, finds the size of the motion, calculates the weight of the previous field and interpolation, It is an algorithm that determines the weight. The Pixel Classifier algorithm is simpler to implement than the GA-HDTV algorithm. It has relatively good performance in low-motion images, but deteriorates image quality in large-motion images and requires five fields of memory.

The motion-compensated algorithm restores the scene when the motion is constant or within the search range in a continuous input field, and reconstructs the optimal value when the motion is out of the search range. Various algorithms have been proposed and often require large amounts of computation and memory. In addition, when the motion is tracked and compensated for, it is impossible to obtain accurate motion.

The successive-approximation algorithm is a typical motion-compensated algorithm. In order to find the correct motion, a successive-approximation algorithm is used to obtain a field as a search reference from temporal and spatial components, Motion compensation algorithm. This algorithm can obtain the deinterlacing result of excellent image quality, but it requires a lot of memory and complicated operation, so it is difficult to implement it in hardware and it is costly.

In order to more easily perform such an operation, the Kenju algorithm compares the compensated image and the image obtained by performing Line Average Interpolation on the image compensated for motion, and if the difference is large, We propose an algorithm that deinterlaces the image by assigning a larger weight to the resulting image of the line average deinterleaching algorithm and a larger weight to the image obtained by motion compensation, .

This method is easier to implement than other motion compensated deinterlacing algorithms, but it is judged whether or not it is based on only the difference value. Based on the result of the line average deinterlacing only, the result is rather poor in the motionless image .

This algorithm is advantageous in that it obtains a relatively good image with a relatively small amount of image compared to other motion compensation algorithms. However, the algorithm performs de-interlacing on the assumption that the motion vector values found are always correct. However, a problem arises because the reference image for finding the motion vector is found in the previous field, not in the current field, and is regarded as a vector of the current field. This is a problem caused by the motion vector detection algorithm based on the bidirectional motion compensation used in the Kenju algorithm because the motion of the target block always moves at a constant speed and constant direction.

If you look at the H mark on the pans in the above image, you can see that it made a rather bad image because it can not perform the deinterlacing correctly. If the value of the motion vector in this case is examined, the following facts can be known. As shown in FIGS. 4 and 5, since the motion of the target moves from the upper left to the lower right, the motion vector should be detected in the corresponding direction. Actually, the motion vector value is detected in the wrong direction as shown in the following figure. This is a problem that occurs when the reference image is not F (t) but F (t-1) when the motion vector is obtained by bidirectional search. In order to solve this problem, the Successive Approximation algorithm is used to optimize the reference image over several stages. However, the successive-approximation algorithm requires a lot of computation and a lot of memory that are difficult to implement.

That is, the conventional motion compensating deinterlacing algorithm performs deinterlacing by tracking motion information on a previous or a subsequent screen through motion detection. This requires more computation amount and memory than the motion adaptive deinterlacing algorithm, It is not an accurate motion vector.

Korean Registered Patent No. 10-0287850 (registered on February 21, 2001)

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a method and apparatus for classifying and restricting reliability of a motion vector, And to provide a motion compensating deinterlacing apparatus and method by region classification that outputs a block of reference images having high reliability when reliability is low, so that a higher quality image can be obtained.

According to an aspect of the present invention, there is provided a motion compensation deinterlacing apparatus comprising: a delay unit for delaying an input video field; A motion vector detector for dividing an image field delayed by the delay device into blocks of a predetermined size and then detecting an inverse motion vector and a forward motion vector of each block; and a motion vector detector for detecting a backward motion vector and a forward motion vector of each block detected by the motion vector detector, A block motion flag setting unit for setting a motion flag of each block using a size of the block motion flag setting unit and a block motion flag set in the block motion flag setting unit to calculate a partial motion flag count for blocks within a certain range, A partial motion flag processing unit for calculating a three-dimensional partial motion flag count for blocks within a certain range by summing the partial motion flag counts of the plurality of video fields arranged on the motion picture flag field; And an image processing unit for receiving the delayed image field from the delay device and generating and outputting a progressive scan image by a line average algorithm and a progressive scan image by a field insertion algorithm, respectively, and a three-dimensional partial motion flag And a reference block processor for selecting one of the progressive scan image by the line average algorithm or the progressive scan image by the field insertion algorithm as a reference block using the count and outputting the reference block, have.

의 수학식에 의해 산출되고, 상기 수학식에서

는 현재 블록의 좌표이고,

은 부분 움직임 플래그 카운트의 참조 범위일 수 있다.The partial motion flag count (LMC)

, And in the above equation

Is the coordinates of the current block,

May be the reference range of the partial motion flag count.

의 수학식에 의해 산출되고, 상기 수학식에서

는 삼차원 부분 움직임 플래그 카운트이고,

는 시간 t의 영상필드의 부분 움직임 플래그 카운트이며,

는 시간 축 상에서 참조할 프레임의 수일 수 있다.The three-dimensional partial motion flag count (3D LMC)

, And in the above equation

Is a three-dimensional partial motion flag count,

Is the partial motion flag count of the video field at time t,

May be the number of frames to be referred to on the time axis.

The reference block processing unit may select a block generated by the field insertion algorithm if the three-dimensional partial motion flag count is larger than the threshold value, and may select a block generated by the line average algorithm if the count is smaller than the threshold value.

And a motion compensation processor for processing motion compensation for the input image field using the size of the forward motion vector and the backward motion vector of each block detected by the motion vector detector.

의 수학식에 의해 산출되고, 상기 수학식에서

는 보상된 영상필드이고,

는 역방향 움직임 보상 가중치이며,

는 역방향 움직임 벡터이고,

는 순방향 움직임 벡터이며,

는 순방향 움직임 보상 가중치일 수 있다.The video field compensated by the motion compensation processing unit

, And in the above equation

Is a compensated video field,

Is a backward motion compensation weight,

Is a backward motion vector,

Is a forward motion vector,

May be the forward motion compensation weight.

And a motion compensation block output unit for selecting and outputting a motion compensation block among the image fields obtained by the motion compensation process in the motion compensation processing unit.

A difference between the motion compensation block output from the motion compensation block output unit and the reference block output from the reference block processing unit is detected, and if the difference is greater than or equal to a predetermined size, And outputting the image obtained by the motion compensation processing in the motion compensation processing unit to the screen.

The block motion flag setting unit may set the motion flag of the corresponding block to '1' if the value of the motion vector of each block is greater than a predetermined threshold value, and may set it to '0' if it is smaller.

According to another aspect of the present invention, there is provided a method of deinterlacing motion compensation by area classification, comprising: generating a progressive scan image by a line averaging algorithm and a progressive scan image by a field insertion algorithm, respectively, Dividing the image field into blocks of a predetermined size, and detecting a backward motion vector and a forward motion vector of each block; Setting a partial motion flag of each block using the detected backward motion vector and forward motion vector of each block; Calculating a three-dimensional partial motion flag count for blocks within a certain range by summing partial motion flag flag counts of a plurality of video fields arranged on a time axis; And selecting one of the progressive scan image by the line average algorithm or the progressive scan image by the field insertion algorithm using the three-dimensional partial motion flag count as a reference block and outputting the selected block.

의 수학식에 의해 산출되고, 상기 수학식에서

는 현재 블록의 좌표이고,

은 부분 움직임 플래그 카운트의 참조 범위일 수 있다.The partial motion flag count (LMC)

, And in the above equation

Is the coordinates of the current block,

May be the reference range of the partial motion flag count.

의 수학식에 의해 산출되고, 상기 수학식에서

는 삼차원 부분 움직임 플래그 카운트이고,

는 시간 t의 영상필드의 부분 움직임 플래그 카운트이며,

는 시간 축 상에서 참조할 프레임의 수일 수 있다.The three-dimensional partial motion flag count (3D LMC)

, And in the above equation

Is a three-dimensional partial motion flag count,

Is the partial motion flag count of the video field at time t,

May be the number of frames to be referred to on the time axis.

And processing motion compensation for the input image field using the detected backward motion vector and forward motion vector of each block.

의 수학식에 의해 산출되고, 상기 수학식에서

는 보상된 영상필드이고,

는 역방향 움직임 보상 가중치이며,

는 역방향 움직임 벡터이고,

는 순방향 움직임 벡터이며,

는 순방향 움직임 보상 가중치일 수 있다.The step of processing motion compensation comprises:

, And in the above equation

Is a compensated video field,

Is a backward motion compensation weight,

Is a backward motion vector,

Is a forward motion vector,

May be the forward motion compensation weight.

And selecting and outputting a motion compensation block from among the images obtained by the motion compensation process.

Detecting a difference value between the reference block and the motion compensation block and outputting the image including the reference block to the screen if the difference value is greater than or equal to a predetermined size, ; ≪ / RTI >

According to the above configuration, in the deinterlacing apparatus for motion compensation according to the present invention, the reference image for detecting the forward motion vector and the backward motion vector is determined based on the motion size of each block of the image, Compares the selected reference image with the motion compensated image, and if the difference is large, it is determined that the reliability of the detected motion image is low and the reference image is output. If the difference is small, it is determined that the motion image has been found correctly and the motion compensated image is outputted. Image.

In addition, the deinterlacing apparatus for motion compensation according to the present invention can process a screen in a unit of small blocks appropriately and process it in units of streaming data, so that it can operate at a minimum memory and a small amount of calculation at a high speed.

Also, the apparatus for deinterlacing motion compensation according to the present invention may further include a motion estimation unit for performing motion compensation on a progressive scanning image or a field insertion algorithm using a linear average algorithm using a three-dimensional partial motion flag count calculated in a plurality of image fields arranged on a time axis. The deinterlacing performance is improved and a high quality image can be obtained.

FIG. 1 shows a configuration of a motion compensation deinterlacing apparatus according to the present invention.
FIGS. 2A to 2O are mathematical expressions for explaining a processor used in a motion compensation deinterlacing apparatus according to the present invention.
3 is a flowchart of a motion compensation deinterlacing method according to the present invention.
FIG. 4 illustrates a deinterlacing result image based on a motion vector erroneously found in a conventional motion compensation type algorithm.
FIG. 5 is an exemplary diagram for explaining a motion vector that is erroneously tracked in a conventional motion compensation type algorithm.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the present embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout.

The apparatus for deinterlacing motion compensation by region classification according to the present invention divides an input field into blocks of a predetermined size and detects a motion vector of each block in order to detect the magnitude of motion. If the size of the detected motion vector is equal to or larger than a predetermined size, the motion flag of the corresponding block is set to '1'. To determine whether a reference block to be compared for a motion compensated image is to be taken with an image of a line average algorithm or to take a result image of a field insertion algorithm, the number of motion flags in an adjacent predetermined area other than the target block is checked, Determine the image.

1, a de-interlacing apparatus for motion compensation according to the present invention includes a delay unit 110 for delaying a largely input image field f (t), a reference block generator 120, A bidirectional motion compensator 130, and a video output controller 140.

The delay device 110 is implemented with first and second sample memories. The reference block generator 120 includes an image processor 121 including a field insertion deinterlacer and a line average deinterlacer, and a reference block processor 122.

The image processing unit 121 receives the delayed image field from the delay unit 110, and generates and outputs a progressive scan image by the line averaging algorithm and a progressive scan image by the field insertion algorithm, respectively. The field insertion algorithm fetches the information necessary for the construction of the current field from a field before the field as shown in FIG. 2A. The field insertion algorithm shows good deinterlacing results for small motion images.

The line average algorithm performs the interpolation using only the image of the current field as shown in FIG. 2B. Outputs the average of the value of the upper 1 line and the value of the lower 1 line in the current line. Linear averaging algorithms show good deinterlacing results in motion-rich images.

The reference block processing unit 122 uses the partial motion flag table generated by the bidirectional motion compensator 130 to convert any one of the progressive scan image by the line average algorithm or the progressive scan image by the field insertion algorithm into the reference block And outputs it.

The bidirectional motion compensator 130 includes a motion vector detection unit 131, a block motion flag setting unit 132, a partial motion flag processing unit 133, a motion compensation processing unit 134, a motion compensation block output unit 135, .

, 해당 블록의 후보 움직임 벡터는

로 정의하면, 도 2c 및 도 2d에 도시한 바와 같이, 시간 축선상에서 이전 시간 및 이후 시간에 대해서 양방향으로 움직임 벡터를 검출하여 영상을 보상하므로 하나의 블록에 대해서 2개의 벡터를 검출하는데, 하나는 후 프레임에 대한 움직임 벡터로

로 나타내며 나머지 하나는 이전 움직임에 대한 벡터로

으로 나타낸다.The motion vector detection unit 131 receives the delayed image field from the delay unit 110, divides the image field into blocks of a predetermined size, and detects a backward motion vector and a forward motion vector of each block. The motion vector detecting unit 131 detects an arbitrary block of the current field

, The candidate motion vector of the corresponding block is

As shown in FIGS. 2C and 2D, two vectors are detected for one block because the motion vector is detected in both directions for the previous time and the following time on the time axis to compensate the image. As a motion vector for a subsequent frame

And the other as a vector for the previous motion

Respectively.

에서의 움직임 벡터의 값이 미리 설정된 임계값 (

) 보다 크면 해당 블록의 움직임 플래그를 '1'로 설정하고 보다 작으면 '0'으로 설정한다.The block motion flag setting unit 132 sets a motion flag of each block using the size of the forward motion vector and the backward motion vector of each block detected by the motion vector detection unit 131. [ The block motion flag setting unit 132 determines whether the size of a motion vector of an arbitrary block is equal to or larger than a predetermined size. For example, as shown in FIG. 2E, the block motion flag setting unit 132 sets the block motion flag

The value of the motion vector at the predetermined threshold value (

), The motion flag of the corresponding block is set to '1', and if it is smaller, it is set to '0'.

As shown in FIGS. 2F and 2G, the partial motion flag processing unit 133 calculates a partial motion flag count for blocks within a certain range using the block motion flag set by the block motion flag setting unit 132, Create a table.

FIG. 2F shows a formula for calculating the partial motion flag count.

When interpolating one field, it is possible to have a good performance by having the number of all motion flags, but it makes a wrong decision in case of partial motion or partial motion. Therefore, selecting a reference image using only a local motion flag count (LMC), which is the number of motion flags in an appropriate range of blocks, has a good result.

Meanwhile, the partial motion flag processor 133 may calculate a partial motion flag count (LMC) by adding a time component.

Specifically, if the nth image field is represented by frmae (n) and the position of a specific block of the nth image field is represented by bx, by, as shown in FIG. 2K, the LMC of the nth image field is LMC (bx , by).

As shown in FIG. 21, the LMC of each image field arranged on the time axis is displayed by arranging a plurality of image fields on the time axis as follows.

That is, LMC of the image field at time t is LMC (t, bx, by), LMC of the image field at time t-1 is LMC Can be expressed by LMC (t + 1, bx, by).

The formula for obtaining the 3D LMC using this is shown in FIG. As shown in FIG. 2m, the LMCs of the multiple image fields arranged on the time axis can be summed to calculate the 3D motion flag count (3D LMC).

The expression shown in FIG. 2m can be expressed as shown in FIG. 2n. In FIG. 2m, if 3D LMC is calculated using only three image fields, it is as follows.

The 3D LMC thus obtained is obtained by accumulating LMC on the time component.

The motion compensation processing unit 134 compensates for the motion of the input image field using the backward motion vector and the size of the forward motion vector of each block detected by the motion vector detection unit 131 . The motion compensation block output unit 135 selects and outputs a motion compensation block among the images obtained by the motion compensation process in the motion compensation processing unit 134. [

The motion compensation processing unit 134 searches for information on the current field and the position of the previous field in which the motion has been moved along with searching for the motion of the next field in the current field and compensates the value Compensates for bi-directional motion.

The equation for the method of compensating the field by the motion compensation processing unit 134 is as shown in FIG. 2H.

The image output control unit 140 detects the difference between the motion compensation block output from the motion compensation block output unit 135 and the reference block output from the reference block processing unit 122 as shown in FIG.

The reference block processing unit 122 refers to any one of the progressive scanning image by the line average algorithm or the progressive scanning image by the field insertion algorithm by using the partial motion flag table generated by the partial motion flag processing unit 133 Select it as a block and output it.

That is, as shown in FIG. 2I, the reference block processing unit 122 processes the reference block of the progressive scan image by the field insertion algorithm when there is a lot of motion and the reference block of the progressive scan image by the line average algorithm .

In addition, the reference block processor 122 may select a reference block of the progressive scan image by the field insertion algorithm using the 3D LMC calculated by the partial motion flag processor 133, It is possible to determine whether to select a reference block.

That is, as shown in FIG. 20, the reference block processing unit 122 selects a block generated by the field insertion algorithm if the 3D LMC obtained by the partial motion flag processing unit 133 is larger than a threshold value. However, if the 3D LMC is smaller than the threshold value, the block generated by the line averaging algorithm is selected.

Thus, more accurate deinterlacing can be achieved by determining whether to select a block generated by the field insertion algorithm or a block generated by the line averaging algorithm using the 3D LMC computed with time components . Therefore, a high-quality image can be obtained.

If the difference between the motion compensation block output from the motion compensation block output unit 135 and the reference block output from the reference block processing unit 122 is greater than a predetermined size, the video output controller 140 outputs a motion compensated block As a result, the reference block is recognized as an output block. The image output controller 140 selects the motion compensation block as an output block if the difference is less than a predetermined value.

If the difference between the motion compensation block output from the motion compensation block output unit 135 and the reference block output from the reference block processing unit 122 is equal to or greater than a predetermined value, the video output controller 140 outputs the video including the reference block to the screen The motion compensation processing unit 134 outputs the image obtained by the motion compensation processing to the screen.

As shown in FIG. 3, the motion compensation deinterlacing method according to the present invention generates a progressive scan image by a line average algorithm and a progressive scan image by a field insertion algorithm, respectively, by receiving an image field S310). Thereafter, the image field is divided into blocks of a predetermined size, and the backward motion vector and the forward motion vector of each block are detected (S320).

Thereafter, motion compensation for the input image field is performed using the detected backward motion vector and the forward motion vector of each block (S330). Thereafter, the motion compensation block is selected from among the images obtained by the motion compensation process and output (S340).

Meanwhile, a motion flag of each block is set using the size of the forward motion vector and the backward motion vector of each block detected in step S330 (S335).

A partial motion flag count for a block within a certain range is calculated using the set block motion flag to generate a partial motion flag table (S345).

The partial motion flag counts of the plurality of image fields arranged on the time axis are summed up to calculate the three-dimensional partial motion flag count for blocks within a certain range (S350).

In step S355, the generated partial motion flag table is used to select one of the progressive scan image by the line average algorithm generated in step S310 or the progressive scan image by the field insertion algorithm as a reference block.

The motion compensating unit detects the difference value between the reference block and the motion compensation block and outputs the image including the reference block to the screen if the difference value is equal to or larger than a predetermined size, (S365).

Since the existing algorithm operates under the assumption that the result of motion search is always correct, accurate deinterlacing is often not performed when it is not found properly. The motion compensation deinterlacing apparatus and method according to the present invention compares the motion vector with a reference block to determine whether the motion vector has been correctly detected and determines an output image when it is determined that the motion vector has been found inaccurately or inaccurately. In addition, in the process of determining the reference block, it is possible to increase the accuracy by judging only the adjacent block of the target block, not by determining the whole image.

Experimental results show that the proposed method has a PSNR of 1.5662 [dB] higher than the 2.7973 [dB] line average algorithm compared to the field insertion algorithm.

The apparatus and method for motion compensation deinterlacing according to the present invention are made up of a relatively small amount of memory and simple calculations by reusing motion vectors obtained by motion detection, so that they can be easily implemented by other motion compensation deinterlacing algorithms . Therefore, it can be realized with fewer hardware and memory when implementing with SoC.

While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined only by the appended claims.

110: Delay device
120: reference block generator
121:
122: reference block processor
130: Bi-directional motion compensator
131: Motion vector detection unit
132: Block motion flag detection unit
133: partial motion flag processing unit
134: motion processing compensation section
135: Motion compensation block output unit
140: Video output control unit

Claims (16)

A delay device for delaying an input video field;
A motion vector detector for dividing an image field delayed by the delay device into blocks of a predetermined size and then detecting an inverse motion vector and a forward motion vector of each block; and a motion vector detector for detecting a backward motion vector and a forward motion vector of each block detected by the motion vector detector, A block motion flag setting unit for setting a motion flag of each block using a size of the block motion flag setting unit and a block motion flag set in the block motion flag setting unit to calculate a partial motion flag count for blocks within a certain range, A partial motion flag processing unit for calculating a three-dimensional partial motion flag count for blocks within a certain range by summing the partial motion flag counts of the plurality of video fields arranged on the motion picture flag field; And
An image processor for receiving a delayed image field from the delay device and generating and outputting a progressive scan image by a line averaging algorithm and a progressive scan image by a field insertion algorithm, A reference block generator for selecting one of a progressive scan image by the line average algorithm or a progressive scan image by a field insertion algorithm as a reference block and outputting the selected reference block;
Wherein the motion compensation deinterlacing unit comprises:
The method according to claim 1,
The partial motion flag count (LMC)

Is calculated by the following equation,
In the above equation

Is the coordinates of the current block,

Is a reference range of the partial motion flag count.
The method according to claim 1,
The three-dimensional partial motion flag count (3D LMC)

Is calculated by the following equation,
In the above equation

Is a three-dimensional partial motion flag count,

Is the partial motion flag count of the video field at time t,

Is a number of frames to be referred to on the time axis.
The method according to claim 1,
The reference block processing unit,
Selecting a block generated by the field insertion algorithm if the three-dimensional partial motion flag count is greater than a threshold value, and selecting a block generated by a line average algorithm if the count is less than a threshold value. .
The method according to claim 1,
A motion compensation processing unit for performing motion compensation on the input image field using a size of a forward motion vector and a backward motion vector of each block detected by the motion vector detection unit;
Wherein the motion compensating deinterlacer further includes a motion compensating deinterlacer.
6. The method of claim 5,
The video field compensated by the motion compensation processing unit

Is calculated by the following equation,
In the above equation

Is a compensated video field,

Is a backward motion compensation weight,

Is a backward motion vector,

Is a forward motion vector,

Is a forward motion compensation weight. ≪ RTI ID = 0.0 > [10] < / RTI >
6. The method of claim 5,
A motion compensation block output unit for selecting and outputting a motion compensation block among the image fields obtained by the motion compensation process in the motion compensation processing unit;
Wherein the motion compensating deinterlacer further includes a motion compensating deinterlacer.
8. The method of claim 7,
A difference between the motion compensation block output from the motion compensation block output unit and the reference block output from the reference block processing unit is detected, and if the difference is greater than or equal to a predetermined size, An image output control unit for outputting the image obtained by the motion compensation processing in the motion compensation processing unit to a screen;
Wherein the motion compensating deinterlacer further includes a motion compensating deinterlacer.
The method according to claim 1,
Wherein the block motion flag setting unit comprises:
Wherein the motion flag of the corresponding block is set to '1' if the value of the motion vector of each block is greater than a preset threshold value, and is set to '0' when the value of the motion vector is smaller than a preset threshold value.
Generating a progressive scan image by a line average algorithm and a progressive scan image by a field insertion algorithm, respectively;
Dividing the image field into blocks of a predetermined size, and detecting a backward motion vector and a forward motion vector of each block;
Setting a partial motion flag of each block using the detected backward motion vector and forward motion vector of each block;
Calculating a three-dimensional partial motion flag count for blocks within a certain range by summing partial motion flag flag counts of a plurality of video fields arranged on a time axis; And
Selecting one of a progressive scan image by the line average algorithm or a progressive scan image by a field insertion algorithm as a reference block using the three-dimensional partial motion flag count, and outputting the selected block;
Wherein the motion compensation deinterlacing method comprises:
11. The method of claim 10,
The partial motion flag count (LMC)

Is calculated by the following equation,
In the above equation

Is the coordinates of the current block,

Is a reference range of the partial motion flag count.
11. The method of claim 10,
The three-dimensional partial motion flag count (3D LMC)

Is calculated by the following equation,
In the above equation

Is a three-dimensional partial motion flag count,

Is the partial motion flag count of the video field at time t,

Is a number of frames to be referred to on the time axis.
11. The method of claim 10,
Processing motion compensation for the input image field using the detected backward motion vector and forward motion vector of each block;
The motion compensation deinterlacing method according to claim 1,
14. The method of claim 13,
The step of processing motion compensation comprises:

Is calculated by the following equation,
In the above equation

Is a compensated video field,

Is a backward motion compensation weight,

Is a backward motion vector,

Is a forward motion vector,

Is a forward motion compensation weight. ≪ RTI ID = 0.0 > [10] < / RTI >
14. The method of claim 13,
Selecting and outputting a motion compensation block among the images obtained by the motion compensation process;
The motion compensation deinterlacing method according to claim 1,
15. The method of claim 14,
Detecting a difference value between the reference block and the motion compensation block and outputting the image including the reference block to the screen if the difference value is greater than or equal to a predetermined size, ;
The motion compensation deinterlacing method according to claim 1,

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