JP2005260309A - Sequential scanning conversion method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a sequential scanning conversion method providing high sharpness independently of scenes at all times by solving a task of production of a sequential scanning conversion image with a sense of incongruity caused by a big difference from the sharpness between processing of moving pictures and processing of still pictures switched depending on the scenes in the sequential scanning conversion method for converting interlace scanning images into sequential scanning images. <P>SOLUTION: The sequential scanning conversion method determines whether a picture is a still picture or a moving picture, produces interpolation pixels between fields in the case of the still picture, and extracts a high frequency component of a received interlace picture in the case of the moving picture, detects edges from the high frequency component, and produces interpolation pixels by frequency analysis and edge composition so that a sense of high sharpness can be obtained independently of the scenes at all times. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a progressive scan conversion method for converting an interlaced scan image into a progressive scan image.

  In recent years, the progressive scan conversion method has become more important due to the spread of fixed pixel display devices such as liquid crystal and plasma displays. However, the generation of the interpolation line is to add information which is not originally present, and a perfect method has not yet been found.

  A conventional progressive scan conversion method will be described below.

  First, the concept of progressive scan conversion will be described. FIG. 11 is a diagram for explaining the concept of progressive scanning conversion. Reference numeral 1101 denotes a progressively scanned image, which is expressed as a series signal by scanning one screen called a frame sequentially from the upper left to the lower right. The line of the sequentially scanned image 1101 is called a scanning line. Reference numerals 1102 and 1103 denote interlaced scanned images, which are scanned by skipping every other scanning line of the frame to express one frame on two screens called fields. The dotted lines in the interlaced scanning image field 0 1102 and the interlaced scanning image field 1 1103 represent the scanning lines that are interlaced and not scanned.

  Sequential scan conversion means that the pixels of the scanning line skipped from each field are reproduced by some method. In the description of the present invention, a line reproduced by the skipped scanning line is expressed as an interpolation line, and a pixel of the interpolation line is expressed as an interpolation pixel.

  In the case of a still image, the progressively scanned image 1101 is always the same regardless of the time, so that the interlaced scanned image field 0 1102 and the interlaced scanned image field 1 1103 can be combined to completely reproduce the progressively scanned image 1101. This method is called inter-field interpolation. However, in the case of moving images, the sequentially scanned image 1101 changes every moment, so if the interlaced scanned image field 0 1102 and interlaced scanned image field 1 1103 are combined in the same way as in the case of a still image, a completely different screen is combined. Destroy. Therefore, in the case of a moving image, intra-field interpolation that generates an interpolation line with information only within a frame is generally used. Specifically, a vertical filter that performs filtering on adjacent upper and lower line pixels to generate an interpolation pixel is used. Since the actual video signal is a mixture of video and still images, still images and video are discriminated. In the case of still images, frames are played back by interpolation between two fields. A progressive scan conversion method for reproduction is generally used at present.

  Conventionally, the progressive scan conversion method described in Patent Document 1 is known. FIG. 12 shows a flowchart of the main part of the process of the progressive scan conversion method. FIG. 12 shows a flowchart of a conventional progressive scan conversion method. In FIG. 12, reference numeral 1201 denotes a moving image determination step for comparing adjacent fields of an input image of an interlaced video signal to determine a moving image and a still image, and 1202 denotes an in-field that generates an interpolation pixel of an interpolation line using a vertical filter in the field. An interpolation pixel generation step by a filter 1203 is an interpolation pixel generation step by an inter-field filter that generates an interpolation pixel of an interpolation line using a filter between fields.

  The operation of the conventional progressive scan conversion system configured as described above will be described below.

When it is determined that the input image is a moving image in the moving image determination step 1201, an interpolation pixel of an interpolation line is generated from only information in the field using a vertical filter in an interpolation pixel generation step 1202 using an intra-field filter. On the other hand, when it is determined as a still image, an interpolation pixel of an interpolation line is generated by a filter from successive fields in an interpolation pixel generation step 1203 by an inter-field filter. The process of combining the above-described interlaced scanning image field 0 1102 and interlaced scanning image field 1 1103 can also be interpreted as one of the filter processes.
JP-A-63-82077

  However, in the conventional method described above, an interpolated image is generated between fields in the case of a still image, and almost ideal progressive scan conversion is possible, and sufficient sharpness can be obtained. Since the interpolation pixel is generated by the filter, the sharpness is lost. A general video has a problem that the processing of moving images and still images is changed depending on the scene, and a progressive scan converted image with a sense of incongruity due to a large difference in sharpness.

  SUMMARY OF THE INVENTION An object of the present invention is to solve the above-mentioned conventional problems, and to provide a progressive scan conversion method that always has a high sharpness regardless of the scene of an image.

  In order to achieve this object, the progressive scan conversion method of the present invention determines a moving image still image of an input interlaced image, generates an interpolated pixel between fields in the case of a still image, and generates a high frequency of the input interlaced image in the case of a moving image. By extracting components, detecting edges from high-frequency components, generating interpolated pixels by frequency analysis and edge synthesis, high sharpness can always be obtained regardless of the scene.

  As described above, the present invention has an excellent effect that a high sharpness can always be obtained regardless of the video signal moving image or still image scene.

  The invention according to claim 1 of the present invention is a progressive scan conversion method for converting an interlaced scan image into a progressive scan image, the high frequency component extracting step for extracting a high frequency component from the interlaced scan image, and the high frequency component. Edge detection step for detecting an edge, edge frequency analysis step for frequency analysis of the edge, reliability evaluation step for evaluating the reliability of the edge frequency analysis result, and edge generation for generating an interpolation pixel from the edge frequency analysis result An interpolation pixel generation step by the filter and an interpolation pixel generation step by the filter, and the processing branches to the interpolation pixel generation step by the edge generation and the interpolation pixel generation step by the filter by the determination of the reliability evaluation step This is a progressive scan conversion method that performs video signal motion and stillness. Always higher sharpness regardless of the scene has the effect of is obtained.

  The invention according to claim 2 of the present invention is a progressive scan conversion method for converting an interlaced scan image into a progressive scan image, the high frequency component extracting step for extracting a high frequency component from the interlaced scan image, and the high frequency component. An edge detecting step for detecting an edge; an edge frequency analyzing step for analyzing the frequency of the edge; a reliability evaluating step for evaluating the reliability of the edge frequency analysis result; and an edge for generating an interpolation pixel from the edge frequency analysis result Interpolated pixel generation step by generation, moving image determination step for determining moving image or still image from the interlaced scanned image, and interpolated pixel generation by an intrafield filter that generates an interpolated pixel only from an image in the field of the interlaced scanned image Between the step and the interlaced scanned image field An interpolated pixel generation step by an inter-field filter that generates an interpolated pixel by a filter, and the processing branches to the interpolated pixel generation step by the edge generation and the moving image determination step in the determination of the reliability evaluation step. In the sequential scan conversion method, the process branches to an interpolation pixel generation step by the intra-field filter and an interpolation pixel generation step by the inter-field filter in accordance with the determination of the video signal moving image and still image scene Regardless of this, there is an effect that a high sharpness can always be obtained.

  According to a third aspect of the present invention, there is provided a progressive scan conversion method for converting an interlaced scan image into a progressive scan image, a moving image determining step for determining a moving image or a still image from the interlaced scanned image, and the interlaced scanning. A high frequency component extracting step for extracting a high frequency component from the image; an edge detecting step for detecting an edge from the high frequency component; an edge frequency analyzing step for analyzing the frequency of the edge; and an edge for generating an interpolation pixel from the edge frequency analysis result An interpolated pixel generating step by generation, and an interpolated pixel generating step by an interfield filter that generates an interpolated pixel by a filter from an image between fields of the interlaced scanned image, and a high frequency component extracting step by the determination of the moving image determining step; Interpolated pixel generation step by the inter-field filter Process has the effect that successively is obtained by a scan conversion method of video signal Video, characterized in that the branch, is always higher sharpness regardless of the still image of the scene obtained.

  The invention according to claim 4 of the present invention is a progressive scan conversion method for converting an interlaced scan image into a progressive scan image, a moving image determination step for determining a moving image or a still image from the interlaced scan image, and the interlaced scanning. A high-frequency component extracting step for extracting a high-frequency component from the image; an edge detecting step for detecting an edge from the high-frequency component; an edge frequency analyzing step for analyzing the frequency of the edge; and a reliability for evaluating the reliability of the edge frequency analysis result An interpolated pixel generation step by edge generation for generating an interpolated pixel from the edge frequency analysis result, and an interpolated pixel generation by an in-field filter that generates an interpolated pixel by a filter only from an image in the field of the interlaced scanning image Between the step and the interlaced scanned image field An interpolated pixel generation step by an inter-field filter that generates an interpolated pixel by a filter, and the processing branches to a high frequency component extraction step and an interpolated pixel generation step by the inter-field filter according to the determination of the moving image determination step, and the reliability According to the judgment of the evaluation step, the process is branched into an interpolation pixel generation step by the edge generation and an interpolation pixel generation step by the intra-field filter. Regardless of the scene, it always has a high sharpness.

  The invention according to claim 5 of the present invention is a progressive scan conversion method for converting an interlaced scan image into a progressive scan image, a motion vector detecting step for detecting a motion vector from the interlaced scan image, and the interlaced scan image. A motion vector evaluation step for evaluating the motion vector from the motion vector, a high frequency component extraction step for extracting a high frequency component from the interlaced scanning image, an edge detection step for detecting an edge from the high frequency component, and a frequency of the edge. An edge frequency analysis step to analyze, a reliability evaluation step to evaluate the reliability of the edge frequency analysis result, an interpolation pixel generation step by edge generation to generate an interpolation pixel from the edge frequency analysis result, and a field of the interlaced scanning image Interpolated pixels by filter only from the image inside An interpolation pixel generation step by an intra-field filter to be generated; an interpolation pixel generation step by a motion vector that generates an interpolation pixel from the motion vector by a motion vector; and a high-frequency component extraction step by the determination of the motion vector evaluation step; The processing branches to an interpolation pixel generation step based on a motion vector, and the processing branches to an interpolation pixel generation step based on the edge generation and an interpolation pixel generation step based on the intra-field filter according to the determination in the reliability evaluation step. This is a scan conversion method, and has an effect that a high sharpness can always be obtained irrespective of a moving image of a video signal or a scene of a still image.

  The invention according to claim 6 of the present invention is the progressive scan conversion method according to any one of claims 1 to 5, characterized in that wavelet transform is used in the high-frequency component extraction step. The high sharpness is always obtained regardless of the still image scene.

  A seventh aspect of the present invention is the progressive scan conversion method according to any one of the first to fifth aspects, wherein the high-frequency component extraction step uses a high-pass filter. The high sharpness can always be obtained regardless of the moving image and still image scenes.

  The invention according to claim 8 of the present invention is the progressive scan conversion method according to any one of claims 1 to 5, wherein the high-frequency component extraction step uses a second-order derivative or a first-order derivative. There is an effect that a high sharpness can always be obtained regardless of a moving image of a video signal or a scene of a still image.

  According to a ninth aspect of the present invention, in the edge detection step, the edge of the high-frequency component is detected by pattern matching. Therefore, it has an effect that a high sharpness can always be obtained regardless of a moving image of a video signal or a scene of a still image.

  The invention according to claim 10 of the present invention is characterized in that, in the edge frequency analysis step, the frequency analysis result includes a band limited frequency when an edge of the input image is approximated by a band limit of a step signal. The progressive scan conversion method according to any one of claims 1 to 5 has an effect that a high sharpness can always be obtained regardless of a moving image or a still image scene of a video signal.

  According to an eleventh aspect of the present invention, in the edge frequency analyzing step, the frequency analysis is performed after the edges of the high frequency components are decomposed into individual edges, and then the progressive scan conversion method according to the tenth aspect of the present invention. Therefore, it has an effect that a high sharpness can always be obtained regardless of the moving image of the video signal and the scene of the still image.

  The invention according to claim 12 of the present invention is the progressive scan conversion method according to claim 1, wherein the filter uses a temporal filter, and is independent of a moving image of a video signal and a scene of a still image. It has an effect that a high sharpness can always be obtained.

 A thirteenth aspect of the present invention is the progressive scanning conversion method according to the second, fourth or fifth aspect, wherein the intra-field filter uses a vertical filter, and the image is an image. Regardless of the moving image of the signal or the scene of the still image, it always has a high sharpness.

  The invention according to claim 14 of the present invention is the progressive scan conversion method according to claim 5, wherein the motion vector is detected by pattern matching, and is used for moving images of video signals and scenes of still images. Regardless of this, it always has a high sharpness.

  According to a fifteenth aspect of the present invention, the motion vector is detected by a gradient method. The progressive scan conversion method according to the fifth aspect is applied to a moving image of a video signal and a still image scene. Regardless of this, it always has a high sharpness.

  Hereinafter, embodiments of the present invention will be described with reference to FIGS.

(Embodiment 1)
FIG. 1 is a flowchart of the progressive scan conversion method of the present invention.

  In FIG. 1, 101 is a high frequency component extracting step for extracting a high frequency component from an input image of an interlaced video signal, 102 is an edge detecting step for detecting an edge from the high frequency component, 103 is an edge frequency analyzing step for analyzing the frequency of the detected edge, 104 is a reliability evaluation step for evaluating the reliability of edge frequency analysis result information, 105 is an interpolation pixel generation step by edge generation for generating an interpolation pixel of an interpolation line using the frequency analysis result, and 106 is an interpolation using a filter. This is an interpolation pixel generation step by a filter that generates interpolation pixels for a line.

  FIG. 2 is a one-dimensional representation image for explaining the high-frequency component extraction step 101, the edge detection step 102, and the edge frequency analysis step 103 in the progressive scan conversion method of the present invention shown in FIG. In FIG. 2, 201 is an input image, and 202 is the nth edge.

  FIG. 3 is a diagram showing the result of processing the input image 201 in the high-frequency component extraction step 101, and 301 is a high-frequency component.

  FIG. 4 is a diagram showing a detection result of the nth edge 202 detected in the edge detection step 102, and 401 is an edge detection waveform which is a detection result of the nth edge 202.

  FIG. 5 is a diagram showing an analysis result of frequency analysis of the edge, and reference numeral 501 denotes the frequency component f obtained in the edge frequency analysis step 103.

  FIG. 6 is a diagram for explaining the operation of the reliability evaluation step 104. Reference numeral 601 denotes an image obtained by separating the nth edge of the input image 201, and reference numeral 602 denotes an edge generated from the frequency analysis result.

  A progressive scan conversion method that operates in the above steps will be described with reference to FIGS. Although the actual image is two-dimensional, it will be described with a one-dimensional image for ease of explanation.

  A high frequency component is extracted from the input image 201 in a high frequency component extraction step 101. Here, attention is focused on the nth edge 202. The edge 202 has a minimum value L, a maximum value H, and an edge center coordinate x.

  In the high frequency component extraction step 101, the frequency component of the input image 201 is separated to become a high frequency component 301.

  In the edge detection step 102, the nth edge 202 is detected from the high frequency component 301 in the present embodiment, and the high frequency component is separated into an edge detection waveform 401.

  In the frequency analysis step 103, a frequency component 501 that is a band limited frequency is calculated as a parameter expressing an edge from the edge detection waveform 401.

  In the reliability evaluation step 104, an edge 602 is generated using one of the frequency analysis results, the frequency component 501 of the value f, the maximum value L and minimum value H of the edge, and the center coordinate x, and the nth edge 601 of the input image 201. Compare with As an index, for example, if a mean square error or the like is used and is smaller than a certain threshold value, the generated edge is evaluated as having high reliability.

  In the interpolated pixel generation step 105 by edge generation, processing is performed in the case where the reliability is evaluated to be high in the reliability evaluation step 104, an edge is generated in the same manner as in the reliability evaluation step 104, and the edge generated in the interpolation pixel of the interpolation line is generated. Allocate a pixel with the corresponding coordinate value. By this process, the input image 201 can be reproduced almost accurately on the interpolation line without dulling the edge, and the sharpness is not impaired.

  The interpolated pixel generation step 106 using a filter is a process performed when the reliability evaluation step 104 evaluates that the reliability is low. In this case, if the interpolated pixel is generated in the process of step 105, the image is destroyed. Therefore, although the sharpness is inferior, interpolation pixels are generated by a filter in order to avoid image destruction. As a filter, an interpolated pixel is generated by a vertical filter from pixels of several lines above and below in the field, or a temporal filter is used between fields.

  As described above, according to the present embodiment, the high-frequency component of the interlaced input image is extracted, the edge is detected from the high-frequency component, the frequency analysis, the reliability analysis of the frequency analysis result is performed, and the reliability is determined to be high. When the interpolation pixel is generated by edge synthesis using the frequency analysis result and it is determined that the reliability is low, the interpolation pixel is generated by the filter, so that a high sharpness is always obtained regardless of the scene.

(Embodiment 2)
FIG. 7 is a flowchart of the progressive scan conversion method of the present invention.

  7, reference numerals 101 to 105 are the same as those in FIG. Reference numeral 701 denotes a moving image determination step for determining a moving image and a still image by comparing adjacent fields of an input image of an interlaced video signal, and reference numeral 702 indicates interpolation by an intra-field filter that generates an interpolation pixel of an interpolation line using a vertical filter in the field. A pixel generation step 703 is an interpolation pixel generation step by an inter-field filter that generates an interpolation pixel of an interpolation line using a filter between fields.

  A progressive scan conversion method that operates in the above steps will be described with reference to FIGS. Since the operation from step 101 to step 105 is the same as that of the first embodiment, a description thereof will be omitted.

  In the moving image determination step 701, the moving image and the still image are determined from the input image in the process when the reliability evaluation step 104 evaluates that the reliability is low. Compare block areas in previous and next fields. At this time, if the sum of squared differences of the compared blocks is larger than a set threshold, it is determined as a moving image.

  In the interpolated pixel generation step 702 using the intra-field filter, interpolated pixels are generated from adjacent lines using the vertical filter in the same field in which the interpolated pixels are generated. However, the sharpness is considerably lower than in the case of step 105.

  In the interpolated pixel generation step 703 using the inter-field filter, an interpolated pixel is generated using a filter from the field for generating the interpolated pixel and the adjacent field. If the image is completely a still image, complete progressive scan conversion can be performed. The sharpness may be the same or slightly lower than in the case of step 105.

  As described above, according to the present embodiment, the high-frequency component of the interlaced input image is extracted, the edge is detected from the high-frequency component, the frequency analysis, the reliability analysis of the frequency analysis result is performed, and the reliability is determined to be high. Interpolated pixels are generated by edge synthesis using the frequency analysis results. If it is determined that the reliability is low, moving image still images of the interlaced input image are determined. In this case, by generating interpolated pixels with an inter-field filter, high sharpness can always be obtained regardless of the scene.

(Embodiment 3)
FIG. 8 is a flowchart of the progressive scan conversion method of the present invention.

  8, reference numerals 101 to 103 and 105 are the same as in FIG. 1, and reference numerals 701 and 703 are the same as in FIG.

  A sequential scanning conversion method that operates in the above steps will be described with reference to FIGS. 2 to 6 and FIG. Since operations in steps 101 to 103 and 105 are the same as those in the first embodiment and operations in steps 701 and 703 are the same as those in the second embodiment, description of the individual steps is omitted.

  If it is determined in step 701 that the image is a moving image, an interpolated pixel is generated by edge generation by a series of processing in steps 101 to 103 and 105. On the other hand, if it is determined in step 701 that the image is a still image, an interpolated pixel is generated by an inter-field filter.

  The difference from the first embodiment is that priority is given to the determination of moving images and still images, and the progressive scan converted image when determined to be a still image is closer to ideal.

  As described above, according to the present embodiment, a moving image still image of an interlaced input image is determined, an interpolation pixel is generated between fields in the case of a still image, and a high frequency component of the interlaced input image is extracted in the case of a moving image. By detecting an edge from a high-frequency component, generating an interpolation pixel by frequency analysis, and edge synthesis, a high sharpness can always be obtained regardless of the scene.

(Embodiment 4)
FIG. 9 is a flowchart of the progressive scan conversion method of the present invention.

  9, 101 to 105 are the same as in FIG. 1, and 701 to 703 are the same as in FIG.

  A sequential scanning conversion method that operates in the above steps will be described with reference to FIGS. Since the operations in steps 101 to 105 are the same as those in the first embodiment and the operations in steps 701 to 703 are the same as those in the second embodiment, the description of the individual steps is omitted.

  If it is determined in step 701 that the image is a moving image and it is determined in step 104 that the reliability is high, an interpolated pixel is generated by edge generation in a series of steps from step 101 to step 105. If it is determined in step 701 that the image is a moving image and it is determined in step 104 that the reliability is low, an interpolated pixel is generated by a series of processing in steps 101 to 104 and an in-field filter in step 702. On the other hand, if it is determined in step 701 that the image is a still image, an interpolated pixel is generated by an inter-field filter in step 703.

  The difference from the third embodiment is that image destruction is less likely to occur because the reliability of the edge frequency analysis result is evaluated.

  As described above, according to the present embodiment, a moving image still image of an interlaced input image is determined, an interpolation pixel is generated by an inter-field filter for a still image, and a high frequency component of an interlaced input image is extracted for a moving image. Detect edges from high-frequency components, perform frequency analysis, generate interpolated pixels by edge synthesis when it is determined that the reliability of the frequency analysis results is high, and field if it is determined that the reliability of the frequency analysis results is low By generating interpolated pixels with the inner filter, a high sharpness can always be obtained regardless of the scene.

(Embodiment 5)
FIG. 10 is a flowchart of the progressive scan conversion method of the present invention.

  10, reference numerals 101 to 105 are the same as in FIG. 1, and reference numeral 702 is the same as in FIG. 1001 is a motion vector detection step for detecting a motion vector by comparing block areas between fields, 1002 is a motion vector evaluation step for evaluating the correctness of the motion vector detection result, and 1003 is an interpolation line interpolation based on the detected motion vector. This is an interpolation pixel generation step by a motion vector for generating a pixel.

  A progressive scan conversion method that operates in the above steps will be described with reference to FIGS. Since operations in steps 101 to 105 are the same as those in the first embodiment and step 702, description of the individual steps is omitted.

  The most probable motion vector is determined in the motion vector evaluation step 1002 from the motion vector candidates detected in the motion vector detection step 1001. At this time, if none of the candidate vectors is accurate, it is determined that a motion vector cannot be detected. When the motion vector can be detected, an interpolation pixel of the interpolation line is generated from the motion vector in an interpolation pixel generation step 1003 based on the motion vector. If a perfect motion vector is detected, perfect progressive scan conversion can be performed even in a moving image, but in many cases it cannot actually be detected.

  If a motion vector cannot be detected, the processing from step 101 to step 105 and step 702 is performed. The processing here is the same as in the fourth embodiment.

  As described above, according to the present embodiment, a motion vector of an interlaced input image is detected, the motion vector is evaluated, and if the motion vector is likely, an interpolation pixel is generated with the motion vector, and the motion vector is accurate. If not, extract the high frequency component of the interlaced input image, detect the edge from the high frequency component, perform frequency analysis, and if it is determined that the reliability of the frequency analysis result is high, generate interpolated pixels by edge synthesis, When it is determined that the reliability is low, an interpolation pixel is generated by the in-field filter, so that a high sharpness is always obtained regardless of the scene.

  The progressive scan conversion method according to the present invention has an excellent effect that a high sharpness can always be obtained regardless of a moving image or a still image scene, and is useful as a process for converting an interlaced scanned video signal into a progressive scanned video signal. is there.

Flowchart of progressive scan conversion method in Embodiment 1 of the present invention Diagram of a one-dimensional representation image of the progressive scan conversion method in the first embodiment The figure of the high frequency component of the progressive scan conversion method in Embodiment 1 The figure of the detection result of the nth edge 202 detected in the edge detection step 102 of the progressive scan conversion method in the first embodiment FIG. 5 is a diagram of frequency analysis results of edges of the progressive scan conversion method according to the first embodiment. Operation explanatory diagram of the reliability evaluation step 104 of the progressive scan conversion method in the first embodiment Flowchart of progressive scan conversion method in Embodiment 2 of the present invention Flowchart of progressive scan conversion method in Embodiment 3 of the present invention Flowchart of progressive scan conversion method in embodiment 4 of the present invention Flowchart of progressive scan conversion method in embodiment 5 of the present invention Illustration of the concept of progressive scan conversion Flowchart of conventional progressive scan conversion method

Explanation of symbols

DESCRIPTION OF SYMBOLS 101 High frequency component extraction step 102 Edge detection step 103 Edge frequency analysis step 104 Reliability evaluation step 105 Interpolation pixel generation step by edge generation 106 Interpolation pixel generation step by filter

Claims (15)

A progressive scan conversion method for converting an interlaced scan image into a progressive scan image,
A high frequency component extraction step for extracting a high frequency component from the interlaced scanning image;
An edge detection step for detecting an edge from the high-frequency component;
An edge frequency analysis step for frequency analysis of the edge;
A reliability evaluation step for evaluating the reliability of the edge frequency analysis result;
An interpolation pixel generation step by edge generation for generating an interpolation pixel from the edge frequency analysis result;
Consisting of
An interpolation pixel generation step by the edge generation in the judgment of the reliability evaluation step, which comprises an interpolation pixel generation step by a filter,
A sequential scanning conversion method characterized in that the process branches to an interpolation pixel generation step by the filter. A progressive scan conversion method for converting an interlaced scan image into a progressive scan image,
A high frequency component extraction step for extracting a high frequency component from the interlaced scanning image;
An edge detection step for detecting an edge from the high-frequency component;
An edge frequency analysis step for frequency analysis of the edge;
A reliability evaluation step for evaluating the reliability of the edge frequency analysis result;
An interpolation pixel generation step by edge generation for generating an interpolation pixel from the edge frequency analysis result;
A moving image determination step for determining a moving image or a still image from the interlaced scanning image;
An interpolation pixel generation step by an intra-field filter that generates an interpolation pixel by a filter only from an image in a field of the interlaced scanning image;
An interpolated pixel generation step by an inter-field filter that generates an interpolated pixel by a filter from an image between fields of the interlaced scanning image;
Consisting of
The processing branches to the interpolation pixel generation step by the edge generation and the moving image determination step in the determination of the reliability evaluation step, the interpolation pixel generation step by the intra-field filter in the determination of the moving image determination step, and the inter-field filter A sequential scanning conversion method characterized in that the process branches to an interpolation pixel generation step according to. A progressive scan conversion method for converting an interlaced scan image into a progressive scan image,
A moving image determination step for determining a moving image or a still image from the interlaced scanning image;
A high frequency component extraction step for extracting a high frequency component from the interlaced scanning image;
An edge detection step for detecting an edge from the high-frequency component;
An edge frequency analysis step for frequency analysis of the edge;
An interpolation pixel generation step by edge generation for generating an interpolation pixel from the edge frequency analysis result;
An interpolated pixel generation step by an inter-field filter that generates an interpolated pixel by a filter from an image between fields of the interlaced scanning image;
Consisting of
A sequential scanning conversion method characterized in that the processing branches to a high-frequency component extraction step and an interpolated pixel generation step by the inter-field filter according to the determination of the moving image determination step. A progressive scan conversion method for converting an interlaced scan image into a progressive scan image,
A moving image determination step for determining a moving image or a still image from the interlaced scanning image;
A high frequency component extraction step for extracting a high frequency component from the interlaced scanning image;
An edge detection step for detecting an edge from the high-frequency component;
An edge frequency analysis step for frequency analysis of the edge;
A reliability evaluation step for evaluating the reliability of the edge frequency analysis result;
An interpolation pixel generation step by edge generation for generating an interpolation pixel from the edge frequency analysis result;
An interpolation pixel generation step by an intra-field filter that generates an interpolation pixel by a filter only from an image in a field of the interlaced scanning image;
An interpolated pixel generation step by an inter-field filter that generates an interpolated pixel by a filter from an image between fields of the interlaced scanning image;
Consisting of
Processing is branched into a high-frequency component extraction step and an interpolated pixel generation step by the inter-field filter in the determination of the moving image determination step, and an interpolation pixel generation step by the edge generation and interpolation by the intra-field filter in the determination of the reliability evaluation step A sequential scanning conversion method characterized in that processing branches to a pixel generation step. A progressive scan conversion method for converting an interlaced scan image into a progressive scan image,
A motion vector detection step of detecting a motion vector from the interlaced scanning image;
A motion vector evaluation step for evaluating the motion vector from the interlaced scan image and the motion vector;
A high frequency component extraction step for extracting a high frequency component from the interlaced scanning image;
An edge detection step for detecting an edge from the high-frequency component;
An edge frequency analysis step for frequency analysis of the edge;
A reliability evaluation step for evaluating the reliability of the edge frequency analysis result;
An interpolation pixel generation step by edge generation for generating an interpolation pixel from the edge frequency analysis result;
An interpolation pixel generation step by an intra-field filter that generates an interpolation pixel by a filter only from an image in a field of the interlaced scanning image;
An interpolation pixel generation step by a motion vector for generating an interpolation pixel from the motion vector by a motion vector;
Consisting of
The processing branches to a high frequency component extraction step and an interpolation pixel generation step based on the motion vector in the determination of the motion vector evaluation step, and the interpolation pixel generation step based on the edge generation and the interpolation by the intra-field filter in the determination of the reliability evaluation step A sequential scanning conversion method characterized in that processing branches to a pixel generation step. 6. The progressive scanning conversion method according to claim 1, wherein wavelet conversion is used in the high-frequency component extraction step. 5. The progressive scan conversion method according to claim 1, wherein a high-pass filter is used in the high-frequency component extraction step. 6. The progressive scan conversion method according to claim 1, wherein the high-frequency component extraction step uses second-order differentiation or first-order differentiation. 6. The progressive scan conversion method according to claim 1, wherein in the edge detection step, an edge of the high frequency component is detected by pattern matching. 6. The progressive scan conversion according to claim 1, wherein in the edge frequency analysis step, the frequency analysis result includes a band limited frequency obtained when the edge of the input image is approximated by a band limit of a step signal. Method. 11. The progressive scan conversion method according to claim 10, wherein in the edge frequency analysis step, the frequency analysis is performed after the edges of the high frequency components are decomposed into individual edges. 2. The progressive scan conversion method according to claim 1, wherein a temporal filter is used as the filter. 6. The progressive scan conversion method according to claim 2, wherein a vertical filter is used as the intra-field filter. 6. The progressive scan conversion method according to claim 5, wherein the motion vector is detected by pattern matching. 6. The progressive scan conversion method according to claim 5, wherein the motion vector is detected by a gradient method.

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