CN100583960C - Video de-interlacing strategy decision method and system - Google Patents

Abstract

A method and apparatus for determining video de-interlacing strategy, the method includes the following steps: correspondingly subtracting all pixels in the ith field and the (i + 2) th field to obtain a difference field; finding out a specific checking block according to the difference field; combining the ith field and the (i + 1) th field into a specific frame; and checking whether the specific check block in the specific frame has a comb phenomenon or not to determine a de-interlacing mode for pixels in the specific check block.

Description

Method and system for determining video deinterlacing strategy

technical field

The present invention relates to a video processing technology, in particular to a video deinterlacing strategy decision method and system.

Background technique

Traditionally, there are three methods for video de-interlacing, the first is "single-field interpolation" (Bob), the second is "field merging" (Weave), and the third is "adaptive dynamic de-interlacing" (Motion Adaptive). The single-field interpolation method mainly expands each field into a complete frame. The lost columns between the scanning lines in the field are filled by the data interpolation calculation of the upper and lower rows, as shown in Figure 14, if you want to de-interleave the first field 1401 or the third field 1403, you can use the data of the even-numbered columns The data of the odd columns is interpolated; similarly, if the second field 1402 or the fourth field 1404 is to be deinterleaved, the data of the odd columns can be used to interpolate the data of the even columns. If done poorly, the image will look mosaic. Even when done well, images can look soft, with an inevitable loss of resolution. The field merging method is to use the adjacent even field and odd field to form a complete frame. Under this algorithm, two consecutive fields are merged into one frame, as shown in Figure 14. The first field 1401 and The second field 1402 forms a complete frame, or combines the second field 1402 and the third field 1403 to form a complete frame. This usually only works well when there is very little motion between the two fields, such as when the two fields are one movie frame. However, if there is motion between fields, the synthesized frame will have combing phenomenon.

The adaptive dynamic deinterleaving method is a combination of the single field interpolation method and the field combination method, which intercepts the advantages of both. This method is mainly to perform dynamic detection on the received field in units of dots. When the dot is detected to be static, the dot is deinterleaved using the field combining method to obtain the result of the best resolution. When it is detected that this point is dynamic, the single field interpolation method is used to de-interleave this point to avoid combing (Combing) phenomenon. Therefore, the quality of the deinterlaced picture made by this adaptive dynamic deinterlacing method mainly depends on the ability of dynamic detection.

Motion detection, there are two methods in the prior art, one is called frame motion (frame motion) detection method, and the other is called field motion (field motion) detection method. FIG. 16A shows a schematic diagram of an existing frame motion detection method. Please refer to FIG. 16A, in this FIG. 16A, there are 4 fields F161-F164. The frame motion detection method mainly uses pixels 1601 and 1602 at the same position in the same field (for example, F162 and F164) to determine whether it is dynamic. , so pixel 1602 must be interpolated with pixel 1603 to obtain pixel 1604 by single-field interpolation.

Fig. 16B shows a schematic diagram of the existing field dynamic detection method. Please refer to FIG. 16B. In FIG. 16B, there are also four fields F161-F164. The frame motion detection method mainly judges whether the pixels 1605 and 1606 are dynamic based on adjacent pixels 1607 in adjacent fields (such as F161 and F162). Indicates that the pixel 1607 in F162 and the pixels 1605 and 1606 in F161 are dynamic. If it is judged to be static, use the field combining method, that is, directly combine pixels 1605, 1606 and pixel 1607.

场动态(field motion)检测法比较相邻不同奇偶的场，如将101与102作比较、102与103作比较，其比较出的结果将会是动态(motion)。导致图1于动态的单场插值法解出的帧如图2的201所示，遮阳棚部份并没有出现梳形现象。Due to the above-mentioned existing dynamic detection, the following problems often occur, resulting in wrong selection of de-interlacing algorithm, resulting in poor de-interlacing pictures. Please refer to FIG. 1 , which shows a schematic diagram of virtual static. Among them, 101 and 103 are odd fields, and 102 and 104 are even fields. On the sampling line 105, it can be seen that the points sampled by 103 and 101 on the awning are all white, while the points sampled by 102 and 104 are all black. If a frame motion detection method (frame motion) is used to compare adjacent odd fields or adjacent even fields, such as comparing 101 with 103, and comparing 102 with 104, the result of the comparison will be still. If the above-mentioned misjudgment is static due to the frame motion detection method, resulting in the combination of fields 101-104 in FIG. 1, the result of 202 in FIG. 2 will be produced. In the result 202 of FIG. 2 , a very serious comb phenomenon appears in the awning part. In contrast, if the

The field motion detection method compares adjacent fields with different parities, such as comparing 101 with 102, 102 with 103, and the comparison result will be motion. As shown in 201 in FIG. 2, the frame solved by the dynamic single-field interpolation method in FIG. 1 shows no comb phenomenon in the sunshade part.

Please refer to FIG. 3 , which shows a schematic diagram of a virtual static that is different from FIG. 1 . 301 and 303 are odd fields, and 302 and 304 are even fields. On the sampling line 305, it can be seen that the points sampled on the “O” diagram by 303 and 301 are white, while the points sampled on the “O” diagram by 302 and 304 are black. The points sampled on the "K" graph at 303 and 301 are black, while the points sampled at 302 and 304 on the "K" graph are white. If a field motion detection method (field motion) is used to compare adjacent fields with different parities, for example, 301 is compared with 302, and 303 is compared with 304, the result of the comparison will be motion. If the field 301-304 in FIG. 3 is "single-field interpolated" due to the above misjudgment as dynamic due to the use of the field dynamic detection method, the result as shown in FIG. 4 will be produced. In the result 401 of FIG. 4 , the "OK" part appears to flicker very seriously.

If the existing frame motion detection method (frame motion) only judges adjacent and identical fields to determine whether the frame is dynamic or not, when the input fields are 301-304 in Fig. 3, it will be as shown in Fig. 4 The result of 402 (no flickering), but when the input field is 101-104 in Figure 1, the result of 202 in Figure 2 (severe comb) will appear. If the existing field motion detection method (field motion) only judges adjacent and different fields to determine whether the frame is dynamic or not, the result of 201 as shown in Figure 2 will appear when the input field is 101-104 in Figure 1 (There is no comb generation), but when the input field is 301-304 in Figure 3, the result of 401 in Figure 4 will appear (severe flickering of the screen).

Existing technologies can only handle one of the above-mentioned situations in FIG. 1 or FIG. 3 , and cannot handle both situations correctly at the same time. However, the situation in Figure 1 should be judged as dynamic, and the situation in Figure 3 should be judged as static, in order to obtain the best results.

Contents of the invention

The purpose of the present invention is to provide a method for determining a video deinterlacing strategy, which is used to correctly determine the video deinterlacing strategy, so as to improve the image quality of the video after deinterlacing.

Yet another object of the present invention is to provide a system for determining a video deinterlacing strategy, which avoids errors in deinterlacing strategies in the prior art and improves image quality.

The present invention proposes a method for determining a video deinterlacing strategy. The method includes the following steps: subtracting all pixels in the i-th field and the i+2-th field correspondingly to obtain a difference field; finding a specific inspection area according to the difference field block; merge the i-th field and the i+1-th field into a specific frame; and check the comb phenomenon of the specific inspection block in the specific frame to determine the de-interlacing method for the pixels in the specific inspection block, where i is a natural number.

According to the video de-interlacing strategy determination method described in the preferred embodiment of the present invention, the above-mentioned step of "finding a specific inspection block according to the difference field" includes: from the above-mentioned difference field, set the pixel difference greater than a default value The block surrounded by pixels is used as a specific inspection block. In another embodiment, the step of "finding a specific inspection block according to the difference field" includes: adding a first block surrounded by pixels with pixel differences larger than a default value from the above difference field to An extended range, as a specific inspection block.

According to the video de-interlacing strategy determination method described in the preferred embodiment of the present invention, the above-mentioned "check the comb phenomenon of the specific inspection block in this specific frame to determine the de-interlacing method of the pixels in the specific inspection block" The steps include: when there is no comb phenomenon in the pixel in the specific inspection block in the specific frame, determine the application of the pixel and de-interlace. In another embodiment, the above-mentioned step of "checking the comb phenomenon of the specific inspection block in the specific frame to determine the de-interlacing method for the pixels in the specific inspection block" includes: when the specific inspection block in the specific frame When a pixel in the block has a comb phenomenon, it is determined that the pixel is de-interlaced by single-field interpolation.

According to the video deinterlacing strategy determination method described in a preferred embodiment of the present invention, the above-mentioned i-th field and the i+1-th field are fields of different types, and the i-th field and the i+2-th field are of the same type field.

The present invention proposes a system for determining a video deinterlacing strategy, which includes: a pixel difference unit, a check block definition unit, a comb detection unit and a deinterlacing format determination unit. The pixel difference unit receives the i-th field and the i+2-th field, and subtracts all the pixels in the i-th field and the i+2-th field correspondingly to obtain a difference field. The inspection block definition unit receives and finds out a specific inspection block according to the difference field. The comb detection unit receives the i-th field and the i+1-th field for merging the i-th field and the i+1-th field into a specific frame. A de-interlacing format determination unit checks the comb phenomenon of pixels in a specific inspection block in a specific frame to determine a de-interlacing method for the pixels in the specific inspection block, where i is a natural number.

According to the video deinterlacing strategy decision system described in the preferred embodiment of the present invention, the inspection block definition unit is also used to use the block surrounded by pixels with pixel differences greater than a default value as a specific inspection area from the difference field piece. In another embodiment, the inspection block definition unit is further configured to add an extension range to a first block surrounded by pixels with pixel differences larger than a default value from the difference field as the specific inspection block.

According to the video de-interlacing strategy determination system described in the preferred embodiment of the present invention, when the pixel in the specific inspection block in the specific frame has no comb phenomenon, the de-interlacing format determining unit determines the use of the pixel and de-interleaves. When the pixel in the specific inspection block in the specific frame has a comb phenomenon, the de-interlacing format determining unit determines that the pixel is de-interlaced by single-field interpolation.

According to the video deinterlacing strategy determination system described in the preferred embodiment of the present invention, the i-th field and the i+1th field are of different types, and the i-th field and the i+2th field are of the same type field.

The present invention finds out a specific inspection block according to the difference field, and uses the comb phenomenon of pixels in the specific inspection block in the frame synthesized by inspecting adjacent fields to determine the de-interlacing method for the pixel in the field. In addition to ensuring the correct determination of the video de-interlacing strategy, errors in the de-interlacing strategy in the prior art can be avoided, so as to improve the image quality of the video after de-interlacing.

In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments are specifically cited below and described in detail with reference to the accompanying drawings.

Description of drawings

Fig. 1 shows a schematic diagram of an existing virtual static.

FIG. 2 shows different results of the field of FIG. 1 with different video deinterlacing algorithms.

Fig. 3 shows a schematic diagram of another existing virtual static.

FIG. 4 shows different results of the field of FIG. 3 with different video deinterlacing algorithms.

FIG. 5 shows a system block diagram of a system for determining a video deinterlacing strategy according to an embodiment of the present invention.

FIG. 6 shows a flowchart of a method for determining a video deinterlacing strategy according to an embodiment of the present invention.

FIG. 7 shows the difference field formed by field 101 and field 103 according to the embodiment of the present invention.

FIG. 8A and FIG. 8B are schematic diagrams showing the manner of defining the above-mentioned specific inspection area.

FIG. 9 shows the specific inspection block diagram defined by the inspection block definition unit 502 in FIG. 7 .

FIG. 10 shows the result of merging the fields 101 and 102 into a specific frame and detecting whether the pixel comb phenomenon exists according to the embodiment of the present invention.

FIG. 11 shows the difference field formed by field 301 and field 303 according to the embodiment of the present invention.

FIG. 12 shows the inspection block diagram defined by the inspection block definition unit 502 in FIG. 11 .

FIG. 13 shows the result of merging the fields 301 and 302 into a specific frame and detecting whether the pixel comb phenomenon exists according to the embodiment of the present invention.

Fig. 14 shows a schematic diagram of an existing even field and an odd field.

Fig. 15 shows a schematic diagram of a conventional combing.

FIG. 16A shows a schematic diagram of an existing frame motion detection method.

Fig. 16B shows a schematic diagram of the existing field dynamic detection method.

Description of reference symbols

101, 103, 301, 303, 1402, 1404: odd field

102, 104, 302, 304, 1401, 1403: even field

105, 305: sampling line

201: The result of single-field interpolation using the field in Figure 1

202: Combined results using the scenarios in Figure 1

401: The result of single-field interpolation using the field in Figure 3

402: The result of merging with the scene in Figure 3

501: Pixel difference unit

502: Check block definition unit

503: Comb detection unit

504: deinterleaving format determination unit

601-604: steps in the embodiment of the present invention

80: Threshold

801, 802: data of scan lines

81: Higher Threshold

82: lower threshold

803: Scanline data 802 received data before exceeding the upper threshold 81

804: data received after scanline data 802 crosses upper threshold 81

901: Part of the awning

1001: Sunshade block

1301: "OK" block

P151～P156, 1601～1609: pixels

F161～F164: field

Detailed ways

The two dynamic detection methods in the prior art can only correctly handle one of the situations in FIG. 1 or FIG. 3 . The present invention proposes a method and a device that can correctly handle the above two situations respectively. In the following, the present invention will be described with examples of words and figures.

FIG. 5 shows a system block diagram of a system for determining a video deinterlacing strategy according to an embodiment of the present invention. Please refer to FIG. 5 , the system includes a pixel difference unit 501 , an inspection block definition unit 502 , a comb detection unit 503 and a deinterleaving format determination unit 504 . FIG. 6 shows a flowchart of a method for determining a video deinterlacing strategy according to an embodiment of the present invention. The following uses the flowchart of FIG. 6 and the system diagram of FIG. 5 to illustrate the embodiment of the present invention.

First, it is assumed that the fields received by the system for determining the video deinterlacing strategy in this embodiment are the four fields 101 - 104 shown in FIG. 1 . The pixel difference unit 501 starts to subtract the adjacent odd fields (or adjacent even fields) 101, 103, subtract each pixel in the odd fields 101 and 103 correspondingly, and obtain a difference field, as Fig. 7 (step 601). In Fig. 7, the darker parts represent larger differences in pixel values. Lighter shades indicate less variance in pixel values. Larger differences in pixel values indicate that the motion of the object is relatively serious. The smaller the difference in pixel values, the relatively slight dynamics of the object. It can be seen from Figure 7 that some parts of the awning are less dynamic.

Next, the inspection block definition unit 502 receives the difference field as shown in FIG. 7 , and finds a specific inspection block according to the difference field (step 602 ). Here, it is assumed that the difference field received by the inspection block definition unit 502 is transmitted in the form of serial (Serial) data, that is, the difference field is divided into multiple scanning lines, and the data of each scanning line is transmitted in a serial format. sent to the inspection block definition unit 502 in a manner. Here, how to define a specific inspection block is explained with FIG. 8A and FIG. 8B .

First, before explaining the method of defining the inspection block, it is defined that the vertical axis in FIG. 8A and FIG. 8B represents the size of the serial data received by the inspection block definition unit 502 . Redefine the horizontal axis of FIG. 8A and FIG. 8B as time. Therefore, the data 801 and 802 of the scanning lines in FIG. 8A and FIG. 8B, if taking FIG. 7 as an example, refers to the pixel value from the first pixel to the last pixel of one of the scanning lines in FIG. 7 A schematic diagram of the values arranged in a row according to time.

Please refer to FIG. 8A for the first method of defining the inspection block. A threshold 80 is defined in FIG. 8A . When the received scan line data 801 exceeds the threshold at time T1 , the portion exceeding the threshold, together with the range extending left and right, are defined in a specific inspection block. For the second way, please refer to FIG. 8B . In FIG. 8B , a higher threshold 81 and a lower threshold 82 are defined. When the received data 802 of the scanning line is greater than the upper threshold 81 at the time T2, the data 803 received during the period of fixed extension before T2 (T2-T0) is defined in a specific inspection block, and the data after T2 Received data 802 is also defined in a particular check block until the received data 802 falls below the lower threshold 82 (time T3).

Please refer to FIG. 9 , which shows a specific inspection block diagram defined by the inspection block definition unit 502 in step 602 , wherein the gray blocks are the above-mentioned specific inspection blocks. Here it can be seen that the part 901 of the awning is completely defined in the particular inspection block.

In the next step, fields 101 and 102 are merged into a specific frame (step 603). Compared with the embodiment in FIG. 5 , the comb detection unit 503 receives the fields 101 and 102 and combines them into one frame. The detection results of the combined comb phenomenon can refer to Figure 10 (the black part indicates the existence of the comb phenomenon). Please note that it can be seen from the awning block in Fig. 10 that after two consecutive fields are merged, the awning block will have a severe combing phenomenon.

The final step is to output the inspection result of the frame comb phenomenon as shown in FIG. 10 , and cooperate with the previously defined specific inspection block to determine the de-interlacing method for the field (step 604 ). In the embodiment shown in FIG. 5 , the deinterleaving format determining unit 504 receives the inspection result of the comb phenomenon of the specific frame output by the comb detection unit 503 , and uses the inspection block definition unit 502 to check the comb phenomenon of the specific frame. Although the pixel difference unit 501 judges that the pixels in the inspection blocks in the above-mentioned continuous fields 101-104 are static, however, after this embodiment judges the pixels in the inspection blocks again, it can be determined that the comb-shaped pixels in the inspection blocks may occur. The pixels of the single-field interpolation (BOB) are de-interlaced, and the pixels that do not have combs in the inspection block are de-interlaced with motionadaptive based on the pixel difference obtained from the 501 difference field, and the pixels outside the block are checked. Same.

Please note that although step 603 of the above-mentioned embodiment only proposes the way of combining fields 101 and 102, those skilled in the art should know after referring to this embodiment that the comb detection unit 503, in addition to combining fields 101 and 102 in the above-mentioned embodiment , comb-type detection can still be done in advance, the way of detection is, for example, to detect whether every three vertically adjacent pixels of the frame after merging fields 101 and 102 conform to the two situations in Figure 15, the first situation is that pixels P151, P152 , P153 are generally bright and dark, and the second case is the general dark and bright conditions of pixels P154, P155, and P156. After the comb detection unit 503 pre-detects, the detection result is sent to the deinterleaving format determination unit 504 . Afterwards, the de-interleaving format determining unit 504 judges how de-interleave processing should be performed on the above-mentioned pixels in the specific inspection block according to the defined specific inspection block.

In addition, although step 603 in this embodiment is after step 602, those skilled in the art should know after referring to this embodiment that step 603 and step 602 should be processed in parallel, and this embodiment is only for the convenience of description. , so the present invention should not be limited to this embodiment.

In the same way, the above-mentioned embodiments of FIG. 5 and FIG. 6 can be used to perform correct deinterleaving processing on the field in FIG. 3 . In the following, FIG. 3 will be combined with FIG. 5 and FIG. 6 for illustration. First, the pixel difference unit 501 starts to subtract the adjacent odd field (or even field) 301, 303, and subtracts each pixel in the odd field 301 and 303 correspondingly to obtain a difference field, as shown in the figure 11 (step 601). It can be seen from FIG. 11 that almost no motion occurs in the "OK" part, therefore, the pixels in the "OK" part will be judged as static (that is, suitable for scene merge processing).

Next, the inspection block definition unit 502 receives the difference field as shown in FIG. 11 , and finds a specific inspection block according to the difference field (step 602 ). Similarly, by means of the above-mentioned FIG. 8A or FIG. 8B , a specific inspection block can be circled, as shown in the gray part in FIG. 12 . However, it can be clearly seen from FIG. 12 that the part of "OK" is not in the specific inspection block, and the inspection area circled by the specific inspection block falls in the swinging area of a single pendulum.

In the next step, fields 301 and 302 are merged into a specific frame (step 603). Compared with the embodiment in FIG. 5 , the comb detection unit 503 receives the fields 301 and 302 and combines them into one frame. The combined comb inspection results can refer to Figure 13 (the black part indicates the presence of comb). Please note that in the "OK" block 1301 in Figure 13, it can be seen that after two consecutive fields are merged, there will be a comb-shaped phenomenon of interlaced light and dark, because this part will not be enclosed in a specific inspection block , so the pixels of this block will still be static according to the previous result. Finally, the specific frame output by the comb detection unit 503 is received by the deinterleaving format determination unit 504, and the specific inspection block defined by the inspection block definition unit 502 is used to check the comb phenomenon of the specific frame, because "OK ” block 1301 falls outside the check block, the check result is still the judgment result of the pixel difference unit, and the “OK” block 1301 still uses the field merge (WEAVE) method for de-interleaving (step 604 ). Therefore, the defect of picture flicker caused by the prior art is also solved.

Similarly, although step 603 of this embodiment only proposes the method of merging fields 301 and 302, those skilled in the art should know after referring to this embodiment that comb detection unit 503, in addition to merging fields 301 and 302 as in the above-mentioned embodiment In addition to 302, comb detection as previously described can still be performed in advance, and then, the deinterleaving format determination unit 504 checks in the above-mentioned specific inspection block according to the defined specific inspection block to determine the above-mentioned specific inspection block. How the pixels in the block should be de-interlaced.

In summary, the present invention uses the difference field to find out the specific inspection block, and uses the comb phenomenon of the specific inspection block in the frame synthesized by inspecting adjacent fields to determine the de-interlacing method for the field. In addition to ensuring the correct determination of the de-interlacing strategy of the video, it can also avoid the error of the de-interlacing strategy in the prior art, so as to improve the quality of the de-interlaced video.

Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Those skilled in the art can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the present invention The scope of protection is based on the claims of the present invention.

Claims (15)

1. video de-interleaving solution strategy determining method comprises:

Subtract each other corresponding with a plurality of pixels in the i+2 field of i field obtained a difference field;

According to this difference field, difference and the one or more acquiescence pixel value that is received compared, find out a specific inspection block;

Merge i field and i+1 field or merge the i+1 field and the i+2 field is a particular frame; And

Check the comb shape phenomenon of this specific inspection block in this particular frame, in the release of an interleave mode of decision to the pixel in this specific inspection block,

Wherein i is a natural number.

2. video de-interleaving solution strategy determining method as claimed in claim 1, wherein the step of " finding out a specific inspection block " comprises:

From this difference field, the block that pixel difference is surrounded greater than a default value pixel is as this specific inspection block.

3. video de-interleaving solution strategy determining method as claimed in claim 1, wherein the step of " finding out a specific inspection block " comprises:

From this difference field, pixel difference is added an expanded range greater than one first block that a default value pixel is surrounded, as this specific inspection block.

4. video de-interleaving solution strategy determining method as claimed in claim 1 is prejudged a pre-release of an interleave mode according to this difference field.

5. video de-interleaving solution strategy determining method as claimed in claim 4, when the comb shape phenomenon of this specific inspection block in this particular frame during less than one first default value, decision with this pre-release of an interleave mode as the release of an interleave mode.

6. video de-interleaving solution strategy determining method as claimed in claim 4, when the comb shape phenomenon of this specific inspection block in this particular frame during greater than one second default value, decision is the release of an interleave mode with the another way that is different from this pre-release of an interleave mode.

7. video de-interleaving solution strategy determining method as claimed in claim 1, wherein i field and i+1 field are the field of different shape.

8. video de-interleaving solution strategy determining method as claimed in claim 1, wherein i field and i+2 field are the field of same modality.

9. video de-interleaving solution strategy decision systems comprises:

One pixel difference unit receives i field and i+2 field, and subtract each other corresponding with a plurality of pixels in the i+2 field of i field obtained a difference field;

One checks the block definition unit, couples this pixel difference unit, receives and according to this difference field, with difference and the comparison of one or more acquiescence pixel value that is received, finds out a specific inspection block;

One comb shape detecting unit receives i field and i+1 field, is a particular frame in order to merge i field and i+1 field; And

One release of an interleave format determination unit, couple this pixel difference unit, check block definition unit and this comb shape detecting unit, according to the testing result of the comb shape phenomenon of this specific inspection block in this particular frame, in the release of an interleave mode of decision to the pixel in this specific inspection block

Wherein i is a natural number.

10. video de-interleaving solution strategy decision systems as claimed in claim 9 wherein should be checked block definition unit more in order to from this difference field, and the block that pixel difference is surrounded greater than a default value pixel is as this specific inspection block.

11. video de-interleaving solution strategy decision systems as claimed in claim 9, should check wherein that the block definition unit was more in order to from this difference field, pixel difference is added an expanded range greater than one first block that a default value pixel is surrounded, as this specific inspection block.

12. video de-interleaving solution strategy decision systems as claimed in claim 9, when the comb shape phenomenon of this specific inspection block in this particular frame during less than one first default value, the pre-release of an interleave mode that this release of an interleave format determination unit decision is judged with difference field.

13. video de-interleaving solution strategy decision systems as claimed in claim 9, when the comb shape phenomenon of this specific inspection block in this particular frame during greater than one second default value, this release of an interleave format determination unit decision is the release of an interleave mode with the another way that is different from this pre-release of an interleave mode.

14. video de-interleaving solution strategy decision systems as claimed in claim 9, wherein i field and i+1 field are the field of different shape.

15. video de-interleaving solution strategy decision systems as claimed in claim 9, wherein i field and i+2 field are the field of same modality.

Images