JP2003163942A - Image-processing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a means for quickly judging whether flicker occurs on a moving picture or not. <P>SOLUTION: In the image-processing program for allowing a computer to execute flicker judgment processing, a moving image is inputted to the computer, a change cycle in a specific color attribute included in the inputted moving picture is predicted based on the power supply frequency of lighting in a moving picture photography environment and the imaging frame rate of the moving picture, the change cycle in the color attribute is actually calculated according to the inputted moving image, it is confirmed whether change in the color attribute is generated corresponding to the predicted change cycle in the color attribute, and the presence or absence of the flicker is determined based on the confirmed result. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing program for determining whether or not flicker has occurred in an input moving image.

[0002]

2. Description of the Related Art In a moving image, when the frequency of the illumination in the shooting environment and the image capturing frame rate of the moving image are not synchronized, a periodic change of color attributes such as brightness and saturation (so-called flicker) occurs. Known to have problems.

The principle of occurrence of flicker will be described. When the power supply frequency is fHz, the amount of change in the power supply phase per second is 2πf, so the imaging frame rate is rf.
With ps, the amount of change in the power supply phase per frame is 2πf / r. Therefore, the phase (phase) of the n-th frame (n is an integer of 0 or more) is the initial power supply phase ρ (0
Considering ≦ ρ <2π), it can be expressed as the following formula (1). Here,% is a remainder operator. If there is no change in the phase in consecutive frames, it means that continuous shooting was performed under a light source with the same emission intensity.
If there is a change in the phase, it means that continuous shooting is performed under a light source in which the emission intensity changes, and a change in brightness and darkness can be confirmed in the moving image. This is the flicker principle.

When an electric lamp connected to an AC power source is used as a light source, the light emission intensity changes with time. Looking at equation (1), when f / r is an integer value, the value of n is It can be seen that the phase takes a constant value ρ regardless of. That is, in this case, flickering does not occur because the blinking of the electric light does not affect the moving image.

[0005]

Conventionally, in order to determine whether or not such a flicker occurs in a moving image, the color attributes such as lightness and saturation are cyclically determined for all frames of the moving image. It is known to determine whether or not a change has occurred. However, in this case, since all the frames of the moving image are targeted for determination, there is a problem that the time required for the flicker determination processing becomes long.

Further, for example, in Japanese Unexamined Patent Publication No. 8-172569, in order to solve the problem that flicker occurs, the image capturing frequency of the video camera is set in accordance with the power source frequency obtained by the power source frequency acquiring means. There is disclosed a method of setting and thereby preventing the occurrence of flicker. Here, the power supply frequency acquisition means extracts the power supply frequency by connecting to an ISDN or the like, acquiring a telephone number, and referring to the AC power supply frequency table corresponding to the telephone number of the telephone number. However, this method is for creating a moving image without flicker, and it is not possible to determine whether or not a moving image created by another method has flicker.

The present invention has been made in view of the above technical problems, and an object of the present invention is to provide a flicker determination method capable of quickly determining whether or not a moving image has flicker.

[0008]

According to a first aspect of the present invention, in an image processing program for causing a computer to execute a flicker determination process, a step of inputting a moving image to the computer, and a power supply frequency of illumination in a moving image shooting environment. And a step of predicting a change cycle of a predetermined color attribute included in the input moving picture based on the image capturing frame rate of the moving picture, and a step of actually calculating a change cycle of the color attribute from the input moving picture, It is characterized by including a step of confirming whether the color attribute changes according to the predicted change cycle of the color attribute, and a step of determining the presence or absence of flicker based on the confirmation result. It is a thing.

According to a second aspect of the present invention, in the invention according to the first aspect, the input moving image is divided into a certain number of frames, and each divided frame group is a unit after the prediction step. It is characterized by executing the processing of.

Further, the invention according to claim 3 of the present application is, in the invention according to claim 1 or 2, a possibility related to occurrence of flicker in predicting a change cycle of a color attribute included in the moving image. It is characterized by setting a high value of.

Further, the invention according to claim 4 of the present application is the invention according to any one of claims 1 to 3, wherein when the application program for causing the computer to execute a flicker determination process is installed or first started up, The power supply frequency is adopted in order to allow the user to input the information for specifying the power supply frequency of the illumination in the moving image shooting environment and to predict the change cycle of the color attribute included in the moving image.

Further, the invention according to claim 5 of the present application is the moving image shooting environment according to any one of claims 1 to 4, based on the country / region information of the operation system for managing the computer. In estimating the power supply frequency of the illumination in and predicting the change cycle of the color attribute included in the moving image, the power supply frequency is adopted.

According to the flicker determination method of the present invention, it is only necessary to predict the flicker light / dark cycle and determine whether or not there is a lightness change in the predicted cycle, and it is not necessary to perform processing for all frames. Therefore, it is possible to quickly determine whether or not the moving image has flicker.

[0014]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Embodiment 1. FIG. 1 is a block diagram showing the configuration of an apparatus to which the flicker determination method of the present invention is applied. The device 10 has a host computer 1, and an external storage device 2, a monitor 3, a mouse 4, and a keyboard 5 are connected to the host computer 1.

FIG. 2 is a diagram showing the internal configuration of the host computer 1. The host computer 1 includes a storage device 11 including a processing operation unit 14 and an OS 15 for exchanging data with each other, an input / output interface 12 for exchanging data with the OS 15, and a CPU / CPU for exchanging data with the OS 15. It has a memory 13. A part of the storage device 11 may be included in the external storage device.

Then, user instructions from the keyboard / mouse 4, 5 are supplied to the input / output interface 12 to exchange data between the monitor 3 and the image data input / output 16 and the input / output interface 12. .

Next, a flicker determination method based on this device will be described. First, a method of recognizing flicker by a computer and making a flicker determination with respect to a moving image whose image pickup frame rate is known to be, for example, 15 fps will be described.

FIG. 3 is a flow chart showing an outline of the determination process. Here, two stages are provided for the determination process. One is from the image capture frame rate of the input video,
A process of determining a light / dark cycle predicted when flicker may occur (hereinafter referred to as stage A), and another is whether or not flicker occurs in the calculated predicted light / dark cycle, and each frame of a moving image. Is a process of actually accessing and making a determination (hereinafter, stage B).

In order to predict the light-dark cycle, the power supply frequency of the illumination existing in the imaged environment is required in addition to the image capture frame rate. Power supply frequency is 50Hz or 60 worldwide
Since it is Hz, try these two cases.

That is, a total of four stages including stages A and B (steps S11 and 13) when the power supply frequency is 50 Hz and stages A and B (steps S15 and 17) when the power supply frequency is 60 Hz are processed. Then, it is determined whether or not the bright / dark cycle predicted after the processing of stage A is one frame (steps S12 and 16), and whether flicker has occurred after the processing of stage B (steps S14 and 18). When the light / dark cycle is predicted to be 1 in stage A, the process in stage B is skipped.

The flow of actual processing is shown below. The computer determines whether flicker occurs at this imaging frame rate when the shooting environment has a power supply frequency of 50 Hz. FIG. 4 shows a flowchart of processing for determining the light-dark cycle. Here, the greatest common divisor of 50 (power supply frequency) and 15 (imaging frame rate) is calculated (step S2
1), the result 5 is obtained, and with this, the imaging frame rate 1
3 is obtained by dividing 5 (step S22). The value obtained here is a light-dark cycle (unit is frame) predicted when flicker occurs. 50Hz according to the above calculation
It is understood that under the illumination of, the flickers of 3 frame cycle may occur in the moving image of 15 fps.

The calculation process of the flicker light / dark cycle is as follows. The flicker light-dark cycle can be predicted from the power supply frequency and the imaging frame rate. Assuming that the light and dark are repeated in the T frame period, the following formula (2)
Holds (T is a natural number).

That is, T where (T · f) / r is an integer
Of these, the smallest one is the predicted flicker light / dark cycle. If the greatest common divisor of r and f is G, then equation (3) holds. T = r / G (3) Therefore, as described above, under illumination of 50 Hz, 15
It is predicted that a flicker with a 3-frame period will occur in an fps moving image.

Since the predicted light / dark cycle is 3 frames, the process proceeds to stage B (step S13 in FIG. 3).

FIG. 5 shows a flow of processing in stage B. First, the average brightness value of each frame included in the input moving image is obtained (step S31). Although each pixel is RGB data, it is converted to HSL data and the L data is used as the brightness. Then, groups for storing the brightness average value are created by the number of frames of the predicted brightness cycle, and the brightness average values are sequentially allocated (step S32). 3 here
Individual groups G1, G2, and G3 are created, and the lightness average value is sequentially assigned from the first frame as G1 → G2 → G3 → G1. Once all the frames have been sorted,
For each group, the average value of the average brightness values of all the belonging frames is calculated (step S33). As shown in FIG. 6, if flicker occurs in the cycle as predicted in stage A, the average value of each group varies. On the contrary, as shown in FIG. 7, in the case of a moving image in which no flicker occurs, each group has the same average value. Paying attention to this point, all the groups are compared, and if the difference between the maximum value and the minimum value exceeds a preset threshold value, flicker determination is made (step S
34, 36).

Image size 320 taken by a digital camera on the market under illumination with a power supply frequency of 50 Hz
An experiment was conducted on a moving image with a photo JPEG compression of × 240 pixels, an imaging frame rate of 15 fps. Each pixel of the frame is composed of 256 gradations of RGB, and when this is converted into HSL data, L data of 256 gradations is obtained. Therefore, when the above process was performed and the threshold value was set to 1.0, a normality determination rate of 96% was obtained.

The image processing program for causing the host computer 1 to execute the above flicker determination processing is an OS.
15 together with a recording medium such as a CD-ROM 41 and a floppy (registered trademark) disk 42 (see FIG. 1),
It can be installed in the storage device 11 in the host computer 1.

Embodiment 2. The flicker determination method according to the second embodiment of the present invention is different from the flicker determination method according to the first embodiment only in the processing of stage B. Also in this case, for example, consider a case where a moving image of 15 fps is input and the predicted light / dark cycle is output at stage A as 3.

FIG. 8 shows a flow of processing in stage B. The brightness average value of each frame included in the input moving image is calculated (step S41), and at the same time, the brightness transition average value of several frames before and after the time axis direction is calculated (step S42). For example, when taking the moving average in the n frames before and after, if the lightness average value of the i-th frame is L _i , the moving average value L _i ′ is obtained by the following mathematical expression (4). L _i '= (L _i-n + L _{i-n + 1} + ... + L _i-1 + L _i + L _{i + 1} + ... + L _{i + n-1} + L _{i + n} ) / (2n + 1) (4) However, (3) When there is no actual frame in the formula) (when the moving average for the first and last frames is taken), the calculation is performed without including it in the target of the average.

As shown in FIG. 9, the change becomes gentle when the moving average is taken. If this is used, in the case of a flicker image, the difference between the brightness average value and the brightness transition average value has the property of repeating positive and negative in the flicker light-dark cycle. Therefore, the difference data D _i is obtained as in the following mathematical expression (5) (step SP3). D _i = L _i −L _i ′ (5) Then, the change in the sign of the obtained difference data D _i is checked, and the ratio of the section in which the positive / negative changes in the three frame period occupy the whole is calculated. If the ratio exceeds a preset threshold value, flicker determination is made (steps SP4 and SP5).

Embodiment 3. FIG. 10 shows the implementation of the present invention.
The flow of the process which concerns on the form 3 is shown. This embodiment is
It is not necessary to calculate the forecasted light and dark cycle,
The A is skipped. First, the frame included in the input video
The brightness average value of each of the colors is calculated (step S51).
L is the average brightness value of the i-th frame_iAnd And
Compare the values with the frames before and after, and L_i≧ L_i-1And L_i
≧ L_{i + 1}Then L_iIs the maximum brightness frame (
Up S52), L_i≤L_i−₁And L_i≤L_{i + 1}And
If L _iIs the minimum brightness frame (step S5)
4). In addition, using this method, as shown in FIG.
It is also possible that the extreme values are continuous with the same value.
In this case, the latter is ignored, for example.

Each time a maximum brightness frame is found, the number of frames elapsed from the immediately previous maximum brightness frame is stored in the array (step S52). If flicker occurs in the predicted light / dark cycle, the interval is concentrated at a certain value as shown in FIG. 11. Therefore, if the ratio of the most frequent value to the whole is larger than a preset threshold value, it is determined as flicker. (Steps S53, 57). On the contrary, if no flicker occurs in the predicted light / dark cycle, as shown in FIG.
The interval varies, and the ratio of the most frequent to the whole is,
It is much lower than in the case of FIG.

In order to improve the determination accuracy, even if the flicker is not determined here, the same determination is performed on the local minimum value (step S55). If the flicker is not determined there, it is determined that the flicker is not detected. You can also

Fourth Embodiment Depending on the moving image, even if the imaging frame rate is set to 15 fps in the internal information, the actual imaging frame rate may not be exactly 15 fps. In such a case, in order to improve the determination accuracy, it is preferable to divide the input moving image into a certain number of frames and apply the fourth embodiment to each frame group.
Also, the frame rate is 2 as in the NTSC standard.
Even in the case of 9.97, "frame rate 30" +
By considering “a phase shift of a long period”, it is possible to apply the determination process of dividing the image into a certain number of frames.

The normality determination rate was 83.3% when all frames were determined without this process, whereas the normality determination rate when dividing every 15 frames was 9%.
It was 1.8%, and the flicker determination accuracy could be improved. Further, if flicker is determined for some of the frame groups, the step of flicker determination for the remaining frame groups can be omitted to speed up the processing.

Embodiment 5. Depending on the video, it may not be possible to acquire even the image capture frame rate. In such a case, the process of stage B may be performed by assuming a value having a high possibility as the flicker light / dark cycle as a predicted value.

The power supply frequency of lighting is 50 Hz or 6 worldwide.
It is 0 Hz, and most of the moving images captured by the digital camera are 10 fps, 15 fps, or 30 fps. Other than this, PAL standard 25 fps and NTSC standard 29.9.
There is 7 fps. The NTSC standard can be handled in the same manner as 30 fps when processed as described in the fourth embodiment. The combinations that generate flicker other than 29.97 fps are 50 Hz, 15 fps and 50 Hz, 30 f.
ps, 60Hz, and 25fps, 50Hz,
For 15 fps, 50 Hz and 30 fps, the flicker light / dark cycle is 3 frames, and for 60 Hz and 25 fps, it is 5 frames. Details of the method for predicting the flicker light / dark cycle will be described later.

As described above, when flicker occurs in a moving image, it is most likely that the frame period is 3 frames, and then 5 frames.
It is likely to be the frame period. Furthermore, it can be understood that flicker is unlikely to occur in other light-dark cycles. Therefore, assuming that the three-frame cycle is the flicker prediction light-dark cycle, the process of stage B is performed.
If it is determined that the flicker is not generated under this assumption, the PAL standard can be supported by assuming a 5-frame period, and therefore even if the imaging frame rate is unknown, the computer can determine most flicker.

The flicker light / dark cycle prediction at 50 Hz and 15 fps / 30 fps will be described. Most digital cameras that can shoot movies have image capture frame rates of 10, 15, and 3.
Most of them are 0 fps. In an area where the power supply frequency is 60 Hz, f / r in the mathematical expression (1) is an integer value, so flicker does not occur. However, in an area where the power supply frequency is 50 Hz, the value becomes an integer only when the imaging frame rate is 10 fps, and the imaging frame rate is 15 fps / 30.
In the case of fps, flicker occurs. By substituting into the formula (3), T = 3 is obtained in any case, and if flicker occurs, it is predicted that light-dark change occurs in three frame cycles.

Actually obtained by substituting the case of f = 50, r = 15 and the case of f = 50, r = 30 into the equation (1),
Table 1 shows the power supply phase phase at the time of shooting the nth frame. Note that k is a non-negative integer.

[0041]

[Table 1] In any case, it can be seen that the power supply phase changes with a periodicity in a 3-frame cycle.

As described above, by using the equation (3), it is possible to calculate the flicker prediction light / dark cycle from the combination of the power supply frequency and the image pickup frame rate.

Sixth Embodiment In each of the above-described embodiments, since the flicker determination process is speeded up, some frames used for the determination can be omitted. Here, two examples of how to omit the frame are shown.

As a first example, as shown in FIG. 14, a frame group included in one cycle of the predicted light-dark cycle calculated in stage A is set as one unit, and several units are omitted at equal intervals. .

As a second example, as shown in FIG. 15, there is a method of extracting frames at a frame interval obtained by adding 1 to the predicted light / dark cycle and performing a determination process on them.

In either case, if there is a large change in lightness that is not the influence of flicker in the moving image, the determination accuracy will be slightly degraded. However, when flicker occurs in the moving image, the bright and dark are repeated in the predicted light and dark cycle, and therefore, it can be used for the determination process. And by these omitting methods, the number of frames used for processing can be significantly reduced,
High-speed flicker determination processing can be achieved. For example, when the predicted light / dark cycle is 3, when flicker determination processing is performed on a frame group extracted at intervals of 4 frames, the processing time becomes about 1/4 as compared with the case where all the frames are subject to determination processing. It is easy to guess.

Embodiment 7. In the second example of the determination processing example described in the sixth embodiment, as the interval I of the extracted frame, the one obtained by the following mathematical expression (6) using the predicted light / dark cycle T and the natural number k is used. It is also possible. I = kT ± 1 (6) However, the determination accuracy decreases as I increases.

Furthermore, when the method is applied to the flicker determination method according to the first and third embodiments, the interval I between the extracted frames is
Need only be coprime to the predicted light / dark cycle T.

If the interval I between the extracted frames and the predicted light-dark cycle T are relatively prime, the light-dark change occurs in the extracted frame group of the flicker image at the T-frame cycle. However, the change may not be applied to the flicker determination method according to the second embodiment because the positive / negative change of the difference from the moving average may occur four times or more in one cycle. On the other hand, in the excerpt frame interval I obtained by the equation (6), the number of positive and negative changes included in one cycle is basically equal to that before the excerpt (when I becomes large, the original light and dark changes become severe and equal. This is the reason why the determination accuracy is lowered.) Therefore, it can be applied to the flicker determination method according to the second embodiment.

Embodiment 8. In the eighth embodiment of the present invention, when installing the application program that causes the host computer 1 to execute the flicker determination processing, the user is prompted to input information that specifies the power supply frequency of the illumination in the moving image shooting environment, and the color attribute included in the moving image is displayed. The power supply frequency is used to predict the change cycle. Figure 1
6 is a flowchart for enabling the user to input the power supply frequency when installing the application program. When installing the application program, a dialog as shown in FIG. 17 is displayed to prompt the user to input the power supply frequency (step S6).
1). Then, when flicker determination is performed on the moving image by the application program, flicker determination processing is performed based on the power supply frequency input by the user and the image capturing frame rate of the moving image. In this flicker determination process, only the frequency input by the user is tried as the power supply frequency. In addition,
The input of the power supply frequency may be prompted not only when the application program is installed but also when the application program is first started up.

Ninth Embodiment In the ninth embodiment of the present invention, the power supply frequency of the illumination in the moving image shooting environment is estimated based on the country / region information that the OS 15 (see FIG. 1) has,
The power frequency is used to predict the light-dark cycle included in the video. FIG. 18 is a flowchart for acquiring the power supply frequency based on the country / region information of the operation system. First, the installed O
The power supply frequency is estimated according to the language of S15 (step S71). For example, in Windows (registered trademark), an API called VerLanguageName ()
By 0x0409English (United
State), the country information of the operating system is the United States, and its power supply frequency can be estimated to be 60 Hz.

Then, flicker determination processing is performed based on the power supply frequency and the moving image capturing frame rate (S72). In this flicker determination process, only the power frequency estimated from the country / region information is tried as the power frequency. However, when the information of the country / region in which a plurality of power source frequencies (50/60 Hz) is adopted, such as Japan, is acquired, the plurality of frequencies are tried.

Further, the country / region information may be obtained by prompting the user to input a dialog as shown in FIG. Also, in Windows, GetTimeZoneInformation
() Retrieves time zone information, which is OS1
Only when there is no contradiction with the country information estimated based on the 5 languages, by adopting the power frequency based on the country information, it is possible to improve the estimation accuracy of the power frequency.

Needless to say, the present invention is not limited to the illustrated embodiments, and various improvements and design changes can be made without departing from the gist of the present invention. For example, it is also possible to read the lightness in each of the above flicker determination methods as saturation and adapt it. In this case, S data obtained by converting RGB data into HSL data may be used as the saturation data, as with the lightness.

Further, the above-described embodiments include inventions having the following configurations. In a computer-readable recording medium recording an image processing program for causing a computer to execute a flicker determination process, the image processing program inputs a moving image to the computer, a power supply frequency of illumination in a moving image capturing environment, and an image capturing of the moving image. A step of predicting a change cycle of a predetermined color attribute included in the input moving image based on a frame rate; a step of actually calculating a change cycle of the color attribute from the input moving image; A recording medium comprising: a step of confirming whether a color attribute change occurs in accordance with a color attribute change cycle; and a step of determining the presence or absence of flicker based on the confirmation result.

In the image processing apparatus for executing the flicker determination processing, the input means for inputting the moving image, the predetermined power supply frequency of the illumination in the moving image capturing environment and the image capturing frame rate of the moving image are included in the input moving image. A predicting unit that predicts a color attribute change cycle, a calculating unit that actually calculates a color attribute change cycle from the input moving image, and a color attribute change occurs in accordance with the predicted color attribute change cycle. An image processing apparatus comprising: a confirmation unit for confirming whether or not there is a flicker based on a confirmation result by the confirmation unit.

In the flicker determination method, a step of inputting a moving image to a computer, a change cycle of a predetermined color attribute included in the input moving image based on a power supply frequency of illumination in a moving image capturing environment and an image pickup frame rate of the moving image. A step of predicting, a step of actually calculating a color attribute change cycle from the input moving image, and a step of confirming whether a color attribute change occurs according to the predicted color attribute change cycle, Based on the above confirmation results,
And a step of determining the presence or absence of flicker, the method of determining flicker.

[0058]

As is apparent from the above description, according to claim 1 of the present invention, the flicker can be obtained by predicting the cycle in which the color attribute changes in advance from the combination of the power supply frequency and the imaging frame rate. The determination process can be speeded up.

According to a second aspect of the present invention, the input moving image is divided into a certain number of frames, and the processing after the prediction step is executed for each divided frame group unit to perform flicker. The determination accuracy can be improved.

Further, according to claim 3 of the present invention, even if the power supply frequency or the image pickup frame rate is unknown, it is actually found that there are many combinations of the power supply frequency and the image pickup frame rate at which flicker occurs. The flicker determination processing can be speeded up by adopting the set that is set.

Further, according to claim 4 of the present invention,
When installing the application program or at the first startup, let the user input the power frequency,
The flicker determination process can be speeded up.

Further, according to claim 5 of the present invention,
The power supply frequency can be estimated based on the country / region information of the operation system to speed up the flicker determination process.

[Brief description of drawings]

FIG. 1 is a block diagram schematically showing an example of an apparatus to which a flicker determination process of the present invention is applied.

FIG. 2 is a block diagram showing in detail a part of the apparatus of FIG.

FIG. 3 is a flowchart illustrating an embodiment of a flicker determination method of the present invention.

FIG. 4 is a flowchart illustrating processing of stage A.

FIG. 5 is a flowchart illustrating an example of processing of stage B.

FIG. 6 is a diagram showing an example of change in brightness after grouping.

FIG. 7 is a diagram showing another example of brightness change after grouping.

FIG. 8 is a flowchart illustrating another example of the process of stage B.

FIG. 9 is a diagram showing an example of changes in brightness average, brightness transition average, and difference between the two.

FIG. 10 is a flowchart illustrating still another example of processing in stage B.

FIG. 11 is a diagram showing an example of a maximum brightness frame and a minimum brightness frame.

FIG. 12 is a diagram showing another example of a maximum brightness frame and a minimum brightness frame.

FIG. 13 is a diagram showing an example of a case where brightness maximum values are continuous.

FIG. 14 is a diagram illustrating an example of speeding up flicker determination processing.

FIG. 15 is a diagram showing another example of speeding up of flicker determination processing.

FIG. 16 is a flowchart for enabling a user to input a power supply frequency when installing an application program for flicker determination processing.

FIG. 17 is a diagram showing an example of a dialog in which a user inputs a power supply frequency.

FIG. 18 is a flowchart for acquiring country / region information that the operation system has.

FIG. 19 is a diagram showing an example of a dialog in which a user inputs country / region information.

[Explanation of symbols]

1 ... Host computer 2 ... External storage device 3 ... Monitor 4 ... mouse 5 ... Keyboard 10: Flicker determination device 11 ... Storage device 12 ... I / O interface 13 ... CPU / memory 14 ... Processing operation unit 15 ... OS 16 ... Image data input / output 41 ... CD-ROM 42 ... Floppy disk

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Claims (5)

[Claims] 1. An image processing program for causing a computer to execute a flicker determination process, wherein the step of inputting a moving image to the computer, the power supply frequency of illumination in a moving image capturing environment, and the image capturing frame rate of the moving image are input. A step of predicting a change cycle of a predetermined color attribute included in the moving image; a step of actually calculating the change cycle of the color attribute from the input moving image; and a step of calculating the color attribute according to the predicted change cycle of the color attribute. An image processing program, comprising: a step of confirming whether a change has occurred, and a step of determining the presence or absence of flicker based on the confirmation result. 2. The input moving image is divided into a predetermined number of frames, and the processing after the prediction step is executed in each divided frame group unit.
The image processing program described in. 3. The image according to claim 1, wherein in predicting a change cycle of a color attribute included in the moving image, a value having a high possibility in relation to occurrence of flicker is set. Processing program. 4. When installing an application program that causes the computer to execute a flicker determination process or at the time of initial startup, the user is prompted to input information that specifies the power supply frequency of the illumination in the moving image shooting environment, and the The image processing program according to any one of claims 1 to 3, wherein the power supply frequency is used to predict the change cycle. 5. The power supply frequency of the illumination in a moving image shooting environment is estimated based on the country / region information of the operation system for managing the computer, and the change cycle of the color attribute included in the moving image is predicted. The image processing program according to claim 1, wherein a power supply frequency is used.