JP4612433B2 - Information processing apparatus and program - Google Patents

Description

  The present invention relates to an information processing apparatus such as a personal computer and a program used in the apparatus.

  In recent years, personal computers having the same AV function as audio / video (AV) devices such as DVD (Digital Versatile Disc) players and TV devices have been developed.

  In general, video data such as a TV broadcast program is composed of interlaced video data. For example, in an NTSC TV broadcast signal, the number of scan lines per video frame is 525. Each video frame of the interlaced video data is composed of a top field and a bottom field. The number of scan lines included in each field is half of the number of scan lines in the video frame.

  The video data displayed on the computer display monitor is progressive video data.

  Therefore, in order to display interlaced video data on a computer display monitor with high image quality, it is necessary to convert each field of the interlaced video data into progressive video data. This conversion is usually referred to as progressive conversion or IP conversion. In progressive conversion processing, interpolation processing is performed to compensate for scan lines that do not exist in each field of interlaced video data.

Patent Document 1 discloses a method of combining two consecutive fields and a method of using line interpolation in the same field as interpolation processing methods.
JP 2004-120635 A

  However, interlaced video data such as received broadcast program data includes a lot of noise, and the value of the interpolation pixel may be greatly affected by the noise. For example, in the method of simply interpolating the interpolation target pixel with the average value of the upper and lower two pixels, if one of the upper and lower two pixels is noise, the value of the interpolation target pixel directly affects the noise. You will receive it.

  In particular, in a personal computer equipped with a TV tuner, it is usually difficult to provide a high-performance noise reduction circuit in the TV tuner. For this reason, in a personal computer, it is necessary to use an interpolation processing method that is relatively less affected by noise contained in interlaced video data.

  Also, when progressive conversion is executed by software in a personal computer, it is required to reduce the amount of calculation processing as much as possible. Usually, in a TV receiver, in order to improve image quality, filtering processing such as reverse edge correction and isolated point removal is performed as post-processing on the interpolated pixels. However, when progressive conversion is executed by software, if post-processing including filtering processing is employed, the amount of calculation processing increases, which is not realistic.

  The present invention has been made in view of the above-described circumstances, and an object thereof is to provide an information processing apparatus and program that can reduce the influence of noise and can perform progressive conversion with a small amount of computation and high accuracy.

In order to solve the above-described problems, the present invention provides an information processing apparatus that converts interlaced video data into progressive video data and displays the data on a display device, and a processor, and image processing that converts the interlaced video data into the progressive video data. And a storage device storing a program for causing the processor to execute, wherein the program determines, for each interpolation target pixel of the interlaced video data, whether the interpolation target pixel belongs to a moving region or a still region. And when the interpolation target pixel belongs to the moving region, two of the pixel pairs having the highest correlation between the two pixels among a plurality of pixel pairs each including two pixels sandwiching the interpolation target pixel. the interpolated picture and the luminance value on a pixel average value of the luminance value of the pixel is located on the interpolation target pixel It is determined whether or not the brightness value of the lower pixel located below is within the range, and if the average value is within the range, the interpolation target pixel is interpolated with the average value, and the average value is If not within the range, a procedure for interpolating the interpolation target pixel with a luminance value closer to the average value among the luminance value of the upper pixel and the luminance value of the lower pixel; and A step of interpolating the interpolation target pixel based on the luminance value of the pixel in the field immediately before the field including the interpolation target pixel among the pixels at the position corresponding to the interpolation target pixel when belonging to the static region; Is executed by the processor.

  According to the present invention, the influence of noise can be reduced, and progressive conversion can be executed with high accuracy with a small amount of calculation.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
First, the configuration of an information processing apparatus according to an embodiment of the present invention will be described with reference to FIG. 1 and FIG. This information processing apparatus is realized as, for example, a notebook personal computer 10.

  FIG. 1 is a front view of the notebook personal computer 10 with the display unit opened. The computer 10 includes a computer main body 11 and a display unit 12. The display unit 12 incorporates a display device composed of a TFT-LCD (Thin Film Transistor Liquid Crystal Display) 17, and the display screen of the LCD 17 is positioned substantially at the center of the display unit 12.

  The display unit 12 is attached to the computer main body 11 so as to be rotatable between an open position and a closed position. The computer main body 11 has a thin box-shaped casing, and a keyboard 13, a power button 14 for turning on / off the computer 1, an input operation panel 15, and a touch pad 16 are arranged on the upper surface. Has been.

  The input operation panel 15 is an input device that inputs an event corresponding to a pressed button, and includes a plurality of buttons for starting a plurality of functions. These button groups also include a TV start button 15A and a DVD / CD start button 15B. The TV activation button 15A is a button for activating a TV function for reproducing, viewing, and recording TV broadcast program data. When the TV activation button 15A is pressed by the user, a TV application program for executing the TV function is automatically activated.

  In this computer, in addition to a general-purpose main operating system, a dedicated sub-operating system for processing AV (audio / video) data is installed. The TV application program is a program that operates on the sub-operating system.

  When the power button 14 is pressed by the user, the main operating system is activated. On the other hand, when the TV activation button 15A is pressed by the user, the sub operating system is activated instead of the main operating system, and the TV application program is automatically executed. The sub-operating system has only a minimum function for executing the AV function. For this reason, the time required for booting up the sub operating system is much shorter than the time required for booting up the main operating system. Therefore, the user can immediately watch / record TV by simply pressing the TV start button 15A.

  The DVD / CD start button 15B is a button for playing back video content recorded on a DVD or CD. When the DVD / CD activation button 15B is pressed by the user, a video reproduction application program for reproducing video content is automatically activated. This video playback application program is also an application program that runs on the sub-operating system. When the DVD / CD start button 15B is pressed by the user, the sub operating system is started instead of the main operating system, and the video playback application program is automatically executed.

  Next, the system configuration of the computer 10 will be described with reference to FIG.

  As shown in FIG. 2, the computer 10 includes a CPU 111, a north bridge 112, a main memory 113, a graphics controller 114, a south bridge 119, a BIOS-ROM 120, a hard disk drive (HDD) 121, and an optical disk drive (ODD) 122. A TV tuner 123, an embedded controller / keyboard controller IC (EC / KBC) 124, a network controller 125, and the like.

  The CPU 111 is a processor provided to control the operation of the computer 10, such as a main operating system / sub-operating system and a TV application program 201 loaded from the hard disk drive (HDD) 121 to the main memory 113. Execute various application programs. The CPU 111 can execute a plurality of processes in parallel using a plurality of pipelines.

  The TV application program 201 has a function for improving the image quality of video data included in TV broadcast program data received by the TV tuner 123. That is, the TV application program 201 has, as shown in FIG. 3, a noise reduction module 210, an IP conversion module 211, a black extension module 212, a white extension module 213, as a video processing function for improving the quality of video data. A sharpness module 214 and an overdrive module 215 are provided.

  The noise reduction module 210 executes processing for removing noise from video data included in broadcast program data received by the TV tuner 123. The IP conversion module 211 executes progressive conversion processing for converting video data from interlaced video to progressive video having twice the data amount by motion adaptive IP conversion. In the motion adaptive IP conversion, it is determined whether the interpolation target pixel belongs to a moving area with movement or a stationary area without movement. The interpolation target pixel in the moving region is interpolated using another pixel group in the same field as the interpolation target pixel. On the other hand, the interpolation target pixel in the still region is interpolated using corresponding pixels in the field before and after the interpolation target pixel. Further, in the interpolation processing of the interpolation target pixel in the moving region, among the plurality of pixel pairs each including two pixels sandwiching the interpolation target pixel, the two pixels in the pixel pair having the highest correlation between the two pixels are used. Based on this, an interpolation process (oblique interpolation) for interpolating the interpolation target pixel is executed.

  The black extension module 212 and the white extension module 213 execute processing for extending and correcting the black and white gradations, respectively. The sharpness module 214 executes sharpness processing for contour enhancement and the like. The overdrive module 215 executes an overdrive process for improving the response speed of the LCD. With these modules 211 to 214, video data such as a TV broadcast program can be displayed on the LCD 17 with high image quality.

  The video data whose image quality has been improved by the TV application program 201 is written into the video memory 114A of the graphics controller 114 via the display driver 202. The display driver 202 is software for controlling the graphics controller 114.

  The CPU 111 also executes a system BIOS (Basic Input Output System) stored in the BIOS-ROM 120. The system BIOS is a program for hardware control.

  The north bridge 112 is a bridge device that connects the local bus of the CPU 111 and the south bridge 119. The north bridge 112 also includes a memory controller that controls access to the main memory 113. The north bridge 112 also has a function of executing communication with the graphics controller 114 via an AGP (Accelerated Graphics Port) bus or the like.

  The graphics controller 114 is a display controller that controls the LCD 17 used as a display monitor of the computer 10. The graphics controller 114 displays the video data written in the video memory (VRAM) 114A on the LCD 17.

  The south bridge 119 controls each device on an LPC (Low Pin Count) bus and each device on a PCI (Peripheral Component Interconnect) bus. The south bridge 119 incorporates an IDE (Integrated Drive Electronics) controller for controlling the HDD 121 and the ODD 122. Further, the south bridge 119 has a function of controlling the TV tuner 123 and a function of controlling access to the BIOS-ROM 120.

  The HDD 121 is a storage device that stores various software and data. An optical disk drive (ODD) 123 is a drive unit for driving a storage medium such as a DVD or a CD in which video content is stored. The TV tuner 123 is a receiving device for receiving broadcast program data such as a TV broadcast program from the outside.

  The embedded controller / keyboard controller IC (EC / KBC) 124 is a one-chip microcomputer in which an embedded controller for power management and a keyboard controller for controlling the keyboard (KB) 13 and the touch pad 16 are integrated. . The embedded controller / keyboard controller IC (EC / KBC) 124 has a function of powering on / off the computer 10 in accordance with the operation of the power button 14 by the user. The operation power supplied to each component of the computer 10 is generated from a battery 126 built in the computer 10 or an external power supply supplied from the outside via the AC adapter 127.

  Furthermore, the embedded controller / keyboard controller IC (EC / KBC) 124 can also power on the computer 10 in accordance with the user's operation of the TV start button 15A and the DVD / CD start button 15B. The network controller 125 is a communication device that executes communication with an external network such as the Internet.

  Next, the motion adaptive IP conversion process executed by the computer 10 will be described.

  FIG. 4 shows a pixel group used in the interpolation processing of the interpolation target pixel in the moving region. As shown in FIG. 4, the following three pixel pairs are considered for a certain pixel to be interpolated (CC).

(1) First pixel pair: two pixels above (UC) and below (LC) in the same field as the interpolation target pixel (CC) (2) Second pixel pair: within the same field as the interpolation target pixel (CC) Upper left (UL1) and lower right (LR1) 2 pixels (3) Third pixel pair: Upper right (UR1) and lower left (LL1) 2 pixels in the same field as the interpolation target pixel (CC) Interpolation target pixel ( CC) is diagonally interpolated using the above three pixel pairs.

(Oblique interpolation processing)
FIG. 5 shows a specific example of the diagonal interpolation process.

  In the motion adaptive IP conversion, the interpolation target pixel determined to be a moving region is interpolated by a pixel group in the same frame. In the case of simple interpolation in which interpolation is performed with the average value of the upper pixel and lower pixel of the interpolation target pixel, if the pixel on the diagonal line of the moving object is interpolated, as shown in FIG. Jaggy that looks jagged like a staircase occurs. This is because the interpolated pixel CC obtained by interpolation is the average value of the upper pixel UC (black 60% in FIG. 5) and the lower pixel LC (black 0%) (black 30%), so the expected black does not become 60%. Because.

  Therefore, in the diagonal interpolation process of the present embodiment, the value of the interpolation target pixel CC is determined in consideration of the following three pixel pairs.

-Upper pixel UC and lower pixel LC
・ Upper left pixel UL1 and lower right pixel LR1
・ Upper right pixel UR1 and lower left pixel LL1
In FIG. 5, the absolute value of the difference between the two pixels sandwiching the interpolation target pixel CC among these three pixel pairs is the pixel pair of the upper right pixel UR1 and the lower left pixel LL1. For this reason, the interpolation target pixel CC is interpolated with the average value of the luminance values of the upper right pixel UR1 and the lower left pixel LL1. As a result, as shown in FIG. 6, the value of the interpolated pixel CC is 60% black, and the diagonal lines are not jagged. Further, even if noise is on one of the upper pixel UC and the lower pixel LC, the value of the pixel CC is not directly affected by the noise.

  Thus, in the present embodiment, a pixel pair having the highest correlation between two pixels is selected from among a plurality of pixel pairs each including two pixels sandwiching the interpolation target pixel CC, and the selected pixel pair The interpolation target pixel CC is interpolated based on the luminance values of the two pixels. As a result, the influence of noise can be reduced and the occurrence of jaggy can be suppressed.

(Clip processing)
However, the interpolation target pixel CC may be interpolated with an incorrect pixel pair only by the above-described oblique interpolation processing. FIG. 7 shows an example. Since the field image before interpolation shown in FIG. 7 has an oblique white line, the value of the pixel CC obtained by interpolation is expected to be an average value (black 0%) of the upper left pixel UL1 and the lower right pixel LR1. Is done. However, since the difference value between the upper right pixel UR1 and the lower left pixel LL1 is also almost 0, the pixel CC is interpolated by the average value of the latter pixel pair (60% black) as shown in FIG. It may be done.

  In order to avoid this erroneous interpolation, in this embodiment, clipping processing (or clipping processing) is performed. In this clipping process, the luminance average value between two pixels in the selected pixel pair is clipped using the luminance value of the upper pixel UC and the luminance value of the lower pixel LC. That is, in the clipping process, it is determined whether or not the luminance average value between two pixels in the selected pixel pair is included in the range between the luminance value of the upper pixel UC and the luminance value of the lower pixel LC. Is done. If included, the interpolation target pixel CC is interpolated with the average luminance value between the two pixels in the selected pixel pair, but if not included, the interpolation target pixel CC is the luminance value of the upper pixel UC. And the luminance value of the lower pixel LC is interpolated with a value closer to the average luminance value between the two pixels in the selected pixel pair.

  With this clipping process, the luminance average value (60% black) of the upper right pixel UR1 and lower left pixel LL1 in the selected pixel pair is clipped with 0% black to 30% black defined by the upper pixel UC and lower pixel LC. Thus, the interpolation target pixel CC is interpolated with black 30% which is the value of the lower pixel LC. As a result, the dot noise becomes inconspicuous as shown in FIG. Therefore, it is possible to solve the problem of erroneous interpolation in which an incorrect pixel pair is selected without performing post-processing including filtering processing with a large amount of calculation.

  Note that if the average luminance value between two pixels in the selected pixel pair is not included in the range between the luminance value of the upper pixel UC and the luminance value of the lower pixel LC, the interpolation target pixel CC is It is also conceivable to interpolate with the average luminance value of the upper pixel UC and the lower pixel LC. However, this makes it difficult to remove the diagonal lines.

  Next, the procedure of the motion adaptive IP conversion process executed by the CPU 111 will be described with reference to the flowchart of FIG. This motion adaptive IP conversion process is performed by the CPU 111 that executes the IP conversion module 211.

  The CPU 111 inputs a luminance signal of interlaced video data (step S11), and performs the following processing for each interpolation target pixel.

  The CPU 111 determines whether or not the luminance value of the upper pixel UC is larger than the luminance value of the lower pixel LC (step S12). When it is determined that the luminance value of the upper pixel UC is larger than the luminance value of the lower pixel LC (YES in Step S12), the CPU 111 sets the luminance value of the upper pixel UC in the variable U and sets the lower pixel LC in the variable L. Is set (step S13). On the other hand, when the luminance value of the upper pixel UC is equal to or lower than the luminance value of the lower pixel LC (NO in step S12), the CPU 111 sets the luminance value of the lower pixel LC in U and sets the luminance value of the upper pixel UC in L. Set (step S14). Accordingly, U is a luminance value having a higher value in the upper pixel UC and the lower pixel LC, and L is a luminance value having a lower value in the upper pixel UC and the lower pixel LC.

  In parallel with the processes in steps S12 to S14, the CPU 111 performs the following process.

  The CPU 111 calculates the absolute difference value of each of the three pixel pairs around the interpolation target pixel CC (step S19). In step S19, the absolute difference between the luminance value of the upper pixel UC and the luminance value of the lower pixel LC is calculated as D1, and the absolute difference between the luminance value of the upper left pixel UL1 and the luminance value of the lower right pixel LR1 is calculated as D2. Further, an absolute difference value between the luminance value of the upper right pixel UR1 and the luminance value of the lower left pixel LL1 is calculated as D3. Next, the CPU 111 determines the minimum value among D1, D2, and D3 (steps S20 and S22). If D1 is the smallest value among D1, D2, and D3, the CPU 111 selects a pixel pair of the upper pixel UC and the lower pixel LC, and averages the luminance value of the upper pixel UC and the luminance value of the lower pixel LC. The value is calculated as MD (step S21). If D2 is the smallest value among D1, D2, and D3, the CPU 111 selects a pixel pair of the upper left pixel UL1 and the lower right pixel LR1, and determines the luminance value of the upper left pixel UL1 and the luminance value of the lower right pixel LR1. Is calculated as MD (step S23). If D3 is the minimum value among D1, D2, and D3, the CPU 111 selects a pixel pair of the upper right pixel UR1 and the lower left pixel LL1, and the luminance value of the upper right pixel UR1 and the luminance value of the lower left pixel LL1. Is calculated as MD (step S24).

  Thereafter, the CPU 111 determines whether or not any of the two conditions MD is larger than U or MD is smaller than L (steps S15 and S16).

  If MD is larger than U (YES in step S15), the CPU 111 clips the MD value with the value U (step S17). Thereby, the value of MD becomes U.

  If MD is smaller than L (YES in step S16), the CPU 111 clips the MD value with the L value (step S18). Thereby, the value of MD becomes L.

  Further, when neither of the above two conditions is satisfied, that is, when MD is included in the range of U and L, clipping processing is not performed.

  In parallel with the above processing, the CPU 111 executes the following processing.

  The CPU 111 calculates the difference absolute value of the field before and after the interpolation target pixel CC as DS (step S25). For example, when the interpolation target pixel CC is the pixel CC (t + 2) in the top field at time t + 2 shown in FIG. 10, the pixel in the bottom field at time t + 1 corresponding to the interpolation target pixel CC (t + 2). The absolute value of the difference between the luminance value of CC (t + 1) and the luminance value of the pixel CC (t + 3) in the bottom field at time t + 3 corresponding to the interpolation target pixel CC (t + 2) is calculated as DS. Is done. In step S25, the average value of the field before and after the interpolation target pixel CC, for example, the luminance value of the pixel CC (t + 1) in the bottom field at time t + 1 corresponding to the interpolation target pixel CC (t + 2) The average value of the luminance value of the pixel CC (t + 3) in the bottom field at time t + 3 corresponding to the interpolation target pixel CC (t + 2) is calculated as MS.

  Further, the CPU 111 executes a motion detection process related to the interpolation target pixel CC, and determines whether or not the interpolation target pixel CC belongs to the moving region (steps S26 and S27). In this motion detection process, the absolute difference value between the interpolation target pixel CC and the pixel in the field immediately before the interpolation target pixel CC is calculated as Det. For example, in FIG. 10, when the interpolation target pixel is CC (t + 2), the absolute difference between the pixel CU (t + 2) and the pixel CU (t), or the pixel CL (t + 2) and the pixel The absolute difference value with respect to CL (t) is calculated as Det. If Det is equal to or greater than a predetermined threshold t (NO in step S27), the CPU 111 determines that the interpolation target pixel CC is a pixel belonging to the moving region. In this case, the CPU 111 interpolates the interpolation target pixel CC with MD (step S28).

On the other hand, if Det is smaller than the predetermined threshold value t (YES in step S27), the CPU 111
DS <DD + offset
It is determined whether or not the condition is satisfied (step S29).

  Here, DD is an absolute difference value between two pixels included in the pixel pair selected in steps S20 and S22. Further, offset is a predetermined value.

  If DS <DD + offset is not satisfied (NO in step S29), the CPU 111 determines that the interpolation target pixel CC is a pixel belonging to the moving region. In this case, the CPU 111 interpolates the interpolation target pixel CC with MD (step S28).

  On the other hand, when DS <DD + offset is satisfied (YES in step S29), the CPU 111 determines that the interpolation target pixel CC is a pixel belonging to the still region. In this case, the CPU 111 interpolates the interpolation target pixel CC with MS (step S30). For the still region, interpolation processing is performed using only the value of the pixel CC (t + 1) corresponding to the interpolation target pixel that belongs to the field immediately before the field to which the interpolation target pixel CC (t + 2) belongs. May be performed.

  As described above, according to the motion adaptive IP conversion of this embodiment, the following effects can be obtained.

  (1) The oblique lines on the moving image can be displayed smoothly by the above-described oblique interpolation method. (2) The above-described oblique interpolation method can be performed on all the pixels by the same process regardless of odd / even field. (3) The above-described oblique interpolation method uses four types of difference values, and is strong against abnormal values due to noise. (4) With the above clipping process, it is possible to prevent an erroneous operation of the diagonal interpolation. (5) The above clipping process does not impair the effect of diagonal interpolation. (6) Since the above clip processing is easy to implement by software, an increase in processing amount can be suppressed.

  In the above description, only three pixel pairs are used. However, in addition to these three pixel pairs, the UL2 and LR2 pixel pairs, the UR2 and LL2 pixel pairs, and the like are also considered. A pixel pair having the smallest difference absolute value between two pixels sandwiching the interpolation target pixel CC may be selected from the pixel pairs. In this embodiment, since all motion adaptive IP conversion is executed by software, the number of pixel pairs used for interpolation processing can be flexibly changed according to the target image quality, the load state of the computer 10, and the like. it can.

  For example, if the load of the computer 10 is below a certain threshold value, diagonal interpolation using five pixel pairs is executed, and if the load exceeds a certain threshold value, diagonal interpolation using three pixel pairs is executed. Is done.

  Also, as shown in the flowchart of FIG. 11, when the load of the computer 10 exceeds a certain threshold (YES in step S102), the clipping process (S103) is skipped and only the diagonal interpolation (S101) is executed. You may make it do.

  Further, as shown in the flowchart of FIG. 12, it is determined whether the computer 10 is driven by a battery or an external power source, and the vertical interpolation process and the diagonal interpolation process are selectively executed according to the determination result. Also good. In this case, the CPU 111 first determines whether the computer 10 is driven by a battery or an external power source through communication with the EC / KBC 124 (step S201). If the computer 10 is driven by an external power supply (AC power supply), the CPU 111 executes diagonal interpolation and clip processing (steps S202 and S203). On the other hand, if the computer 10 is driven by a battery, the CPU 111 executes vertical interpolation (step S204).

  As described above, in the present embodiment, since all IP conversion is executed by software, the IP conversion processing content can be flexibly changed in accordance with the use environment of the computer 10.

  The above-described progressive conversion processing procedure can also be applied to video data read from a DVD drive.

  9, 11, and 12 are all realized by the TV application 201, the same procedure as in the present embodiment can be achieved by simply installing the TV application 201 into a normal computer through a computer-readable storage medium. The effect can be easily realized.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of components disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine a component suitably in different embodiment.

The perspective view showing the general view of the computer concerning one embodiment of the present invention. The block diagram which shows the system configuration | structure of the computer of FIG. The block diagram which shows the function structure of the TV application program used with the computer of FIG. The figure for demonstrating the several pixel pair used for the IP conversion process in the computer of FIG. The figure for demonstrating a vertical interpolation process. FIG. 2 is a first diagram illustrating an example of oblique interpolation processing executed by the computer of FIG. 1. FIG. 3 is a second diagram illustrating an example of oblique interpolation processing executed by the computer of FIG. 1. The figure which shows the example of the clip process performed with the computer of FIG. The flowchart which shows the procedure of the IP conversion process performed with the computer of FIG. The figure for demonstrating the example of the motion detection used with the IP conversion process performed with the computer of FIG. The flowchart which shows the example of the procedure for changing the content of the interpolation process performed with the computer of FIG. The flowchart which shows another example of the procedure for changing the content of the interpolation process performed with the computer of FIG.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 ... Computer, 111 ... CPU, 123 ... TV tuner, 201 ... TV application program, 211 ... IP conversion module.

Claims (7)

In an information processing apparatus that converts interlaced video data into progressive video data and displays the data on a display device,
A processor;
A storage device storing a program for causing the processor to execute image processing for converting the interlaced video data into the progressive video data;
With
The program is
A procedure for determining for each interpolation target pixel of the interlaced video data whether the interpolation target pixel belongs to a moving region or a still region;
When the interpolation target pixel belongs to the moving region, the luminance value of two pixels in the pixel pair having the highest correlation between the two pixels among a plurality of pixel pairs each including two pixels sandwiching the interpolation target pixel Is determined to be within a range of the luminance value of the upper pixel located above the interpolation target pixel and the luminance value of the lower pixel located below the interpolation target pixel, and the average value is If the average value is not within the range when the average pixel is interpolated with the average value when the pixel is within the range, the average value of the luminance value of the upper pixel and the luminance value of the lower pixel is A procedure for interpolating the pixel to be interpolated with the nearer luminance value ;
When the pixel to be interpolated belongs to the still region, the pixel to be interpolated based on the luminance value of the pixel in the field immediately before the field including the pixel to be interpolated among the pixels corresponding to the pixel to be interpolated. And an information processing apparatus for causing the processor to execute a procedure for interpolating.   The plurality of pixel pairs include a first pixel pair including an upper pixel positioned above the interpolation target pixel and a lower pixel positioned below the interpolation target pixel, an upper right pixel positioned at the upper right of the interpolation target pixel, and the A second pixel pair including a lower left pixel positioned at the lower left of the interpolation target pixel; and a third pixel pair including an upper left pixel positioned at the upper left of the interpolation target pixel and a lower right pixel positioned at the lower right of the interpolation target pixel. The information processing apparatus according to claim 1, further comprising: Means for determining whether or not the information processing apparatus is driven by a battery;
The program, when the information processing apparatus is driven by the battery, the procedure for interpolating the interpolation target pixel belongs the moving area, the average value of the luminance values of two pixels located above and below the interpolation target pixel The information processing apparatus according to claim 1, wherein the processor is executed. A receiver for receiving broadcast data;
The information processing apparatus according to claim 1, wherein the interlaced video data is broadcast data received by the receiving unit. A program for causing a computer to execute a progressive conversion process for converting interlaced video data into progressive video data,
A procedure for determining for each interpolation target pixel of the interlaced video data whether the interpolation target pixel belongs to a moving region or a still region;
When the interpolation target pixel belongs to the moving region, the luminance value of two pixels in the pixel pair having the highest correlation between the two pixels among a plurality of pixel pairs each including two pixels sandwiching the interpolation target pixel Is determined to be within a range of the luminance value of the upper pixel located above the interpolation target pixel and the luminance value of the lower pixel located below the interpolation target pixel, and the average value is If the average value is not within the range when the average pixel is interpolated with the average value when the pixel is within the range, the average value of the luminance value of the upper pixel and the luminance value of the lower pixel is A first interpolation processing procedure for interpolating the interpolation target pixel with the nearer luminance value ;
When the pixel to be interpolated belongs to the still region, the pixel to be interpolated based on the luminance value of the pixel in the field immediately before the field including the pixel to be interpolated among the pixels corresponding to the pixel to be interpolated. A program for causing the computer to execute a second interpolation processing procedure for interpolating. The plurality of pixel pairs include a first pixel pair including an upper pixel positioned above the interpolation target pixel and a lower pixel positioned below the interpolation target pixel, an upper right pixel positioned at the upper right of the interpolation target pixel, and the A second pixel pair including a lower left pixel positioned at the lower left of the interpolation target pixel; and a third pixel pair including an upper left pixel positioned at the upper left of the interpolation target pixel and a lower right pixel positioned at the lower right of the interpolation target pixel. The program according to claim 5 , comprising: A procedure for referring to information indicating whether the computer is driven by a battery;
If the computer is powered by the battery, the interpolation target pixel belongs the moving area, and a procedure for interpolating the mean value of the luminance values of two pixels located above and below the interpolation target pixel in the computer The program according to claim 5 , further executed.

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