JPH0937286A - Image processing unit and database for image processing - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain the image processing unit with convenience of use by providing a function executing automatically part or all of command entry job to a new image source. SOLUTION: A database means 6 and an image processing procedure induction means 7 are used in place of the aid by an expert. Intelligent information relating to classification of image title, image expression intention, image quality improving point, processing on color physic, image processing procedure, side reaction countermeasures, intelligence information relating to image processing command and side reaction countermeasure command being operation commands entered to the image processing means to execute image quality processing and relevant image information are classified into the image title, image expression intention, image quality improving point, processing on color physic processing, image processing means, image processing commands, side reaction countermeasures, side reaction countermeasure command, and image information, and all information sets are arranged properly and they are registered in advance in a database means 6.

Description

Detailed Description of the Invention

[0001]

[Industrial application] Still images such as color photographs and color illustrations are caused by various factors such as weather conditions at the time of shooting, lighting conditions, seasonal restrictions, time restrictions, and storage conditions after shooting and creation. Looking at the purpose of using a still image, there are many dissatisfaction points or dissatisfaction contents regarding hue, saturation, brightness, gradation, color tone contrast, image noise, image composition, blur and sharpness, etc. Usually, many improvement processes are performed until the image quality finally becomes usable. In that sense, it can be said that the still image before the improvement process is merely an image material. The same thing can be said for a moving image taken by a video camera or the like.

A device used for improving the image quality of an image material converts the image information of the image material into a digital signal, and then, hue correction, saturation correction, brightness correction, gradation correction, hue contrast correction, image noise correction There is an image processing apparatus that improves image quality by performing correction processing such as image composition correction, blur correction, and sharpening correction.

The present invention relates to such an image processing apparatus, and more specifically, still image input means for taking in image information of a still image or frame image taking out means for taking in image information of a moving image, and image information. Display means for displaying various information including, image quality is evaluated, image processing means for improving image quality by correction processing such as hue correction, saturation correction, and the like, information regarding classification of image material, information regarding image expression intention, Information about image quality improvement points, information about color physical processing, information about image processing procedures, information about operation commands input to the image processing means, and various information such as image information of still images are registered. -Tabber means and the various information described above are guided from the data base means and displayed on the display means, or the database.
Image processing procedure guiding means for delivering the operation command information guided from the image processing means to the image processing procedure recording means and recording it, and an image processing procedure for delivering the operation command recorded in the image processing procedure recording means to the image processing means. It is suitable from a large amount of information registered in the data base means based on the synergistic action of the guide by the image processing procedure guide means and the selection action by the operator, which is provided with a delivery means. Information that has a high possibility of being narrowed down is displayed on the display means, and it starts from the classification of the image material that is necessary when executing the image quality improvement processing, the estimation of the image representation intention, the selection of the image quality improvement point, and the color physics. The above-mentioned processing selection, image processing procedure and side effect countermeasure procedure selection, operation command input to the image processing means, support for each determination work leading to the determination of the image processing result, An image processing apparatus that supports image quality improvement processing of still images and moving images by automating a part or all of the operation of inputting operation commands input to the image processing means using the operation commands guided by the same action. It is about.

[0004]

2. Description of the Related Art To execute image quality improvement processing, an image processing apparatus is used to perform hue correction, saturation correction, brightness correction, gradation correction, tone contrast correction, image noise correction, image composition correction, blur correction, and the like. It is necessary to perform correction processing such as sharpening correction.

The above-mentioned hue correction includes input of an initial image, display of the initial image, designation of a range of hue correction points in the displayed image, hue evaluation, rough setting of a hue correction value, and rough hue correction processing. A series of operations required for these processes, including execution, determination of processing results, setting of fine adjustment values for hue correction, execution of hue fine adjustment correction processing, determination of fine adjustment processing results, and saving of processing results. It is executed by inputting a command or input information to the image processing apparatus. The same applies to saturation correction, brightness correction, and the like.

The operation of inputting a series of these operation commands and input information (hereinafter referred to as "command") is performed by manually inputting to the image processing apparatus via a keyboard or a mouse. However, by recording these commands in advance and reproducing the recorded series of commands for the new image material, the image processing procedure that can automatically perform the image quality improvement processing operation of the new image material. An image processing device with a delivery means is known (Macworld March 19
94, 74 pages, two products that power up Photoshop, or Adobe Photoshop 2.5J, User Guide, 150 pages, application of color correction to multiple images, publisher, Adobe Systems Japan).

However, even if the image processing apparatus with the image processing procedure delivery means as described above is used, a series of prerecorded commands is applied to another new image material to perform the image quality improvement processing work. Can only be automated in special cases that are very similar to the original image material. Therefore, in a normal case where the similarity with the original image material is low, even if the image processing apparatus with the image processing procedure delivery means as described above is used, the image quality improvement processing work cannot be supported. .

Now, in order to appropriately perform the image quality improving process given a certain image material, it is necessary to set the image quality improving point. The point of image quality improvement depends on the image representation intention, but the image representation intention varies depending on the image material. The image material can be classified into various types such as landscape, still life, portrait, and product.

Therefore, in order to properly perform the image quality improving process, first, it is necessary to properly classify the image material of the given image material and appropriately estimate the expression intention. If the image material can be classified and the expression intention can be estimated, the image quality improvement point can be determined based on them.

Although the image quality improvement point is realized by color physical processing, a plurality of color physical processing for realizing a certain image quality improvement point are usually considered. Therefore, in order to realize the image quality improvement point, it is necessary to make a judgment to select an appropriate color physical processing from a plurality of possible methods.

Further, a certain color physical processing is realized by executing a corresponding image processing procedure that brings about the processing effect. However, depending on the parameter values set when the image processing procedure is executed, undesirable side effects often occur. Further, in many cases, a plurality of image processing procedures and side effect countermeasure procedures corresponding to a certain color physical process can be considered. Therefore, it is necessary to make a decision to select the most appropriate image processing procedure or side effect countermeasure procedure from a plurality of possible methods.

As described above, in order to appropriately execute the image quality improvement processing work, it is necessary to start from the classification of the image material, to estimate the expression intention of the image, to select the image quality improvement point, to select the processing on the color physics, and the processing thereof. It is premised that each judgment up to the selection of the image processing procedure that produces the effect and the selection of the side effect countermeasure procedure can be appropriately performed.

Therefore, the worker who performs the image quality improvement process starts with the knowledge about the classification of the image material necessary for each of these judgments, the knowledge about the image representation intention, the knowledge about the image quality improvement point, and the color physical process. Familiarity with various knowledge such as knowledge, knowledge about image processing procedure, knowledge about side effect countermeasure procedure, etc. is indispensable.

However, there is no known image processing apparatus that presents the above-mentioned various knowledge when executing the image quality improvement processing work and supports the image quality improvement processing work. For this reason,
Conventionally, in order for an operator who is not familiar with the above-mentioned various knowledge to perform an appropriate image quality improvement processing operation, it is necessary to support an expert who is familiar with the above-mentioned various knowledge.

[0015]

There are many cases in which it is difficult to obtain the support of a skilled person when performing the image quality improvement processing work.
In such a case, in order to perform the image quality improvement processing work using the conventional image processing apparatus, the operator himself starts from the classification of the image material, estimates the image representation intention, selects the image quality improvement point, and color physics. It is necessary to make each judgment up to the selection of the above processing, the selection of the image processing procedure, and the selection of the side effect countermeasure procedure.

As described above, in each of these judgments, it is usual that a plurality of options can be considered. Therefore, an operator who is not familiar with the above-mentioned knowledge can perform the image quality improvement process without the assistance of a skilled person. When performing, there is no choice but to repeat a large number of trials and errors in the state of being in the fog, and it often takes a very long time to perform the image quality improvement work, and in some cases, an appropriate improvement process cannot be realized.

According to the present invention, an operator who is not familiar with the above-mentioned knowledge is forced to repeat many trials and errors while performing the image quality improvement processing work in the state of being in the fog. Not only is the usability of the processing device improved, but when the image processing procedure delivery means is used, it has the function of automatically executing a part or all of the command input work for a new image material. An object is to provide an image processing device.

[0018]

In order to achieve the above object, the present invention uses a data base means 6 and an image processing procedure guiding means 7 as a substitute for support by a skilled person.

Knowledge information about each of image material classification, image representation intention, image quality improvement point, color physical processing, image processing procedure, side effect countermeasure procedure, and
Knowledge information about image processing commands and side effect countermeasure commands, which are operation commands input to the image processing means for executing the image quality improvement processing, and related image information are converted into images as shown in FIG. 7 and FIG. Divide into subject matter, image representation intention, image quality improvement point, color physical processing, image processing procedure, image processing command, side effect countermeasure procedure, side effect countermeasure command, and image information, and correlate each of the above information appropriately with each other. It is organized and registered in the database means 6 in advance.

In FIG. 7 and FIG. 8, in each column other than the image material column, from the → mark to the downward direction, immediately before the next → mark, the information corresponding to the left side of the previous → mark is appropriately corresponded to each other. The above-mentioned respective information items are associated with each other such that a group of candidate information items are located. For example, “→ Genkiness, cuteness, beauty, vitality and intelligence” in the image representation intention column in FIG. 7 appropriately corresponds to the expression intention of the image of “person” to the left of “→ Genkiness”. It is information that gives highly probable candidate information.

When an operator inputs a command signal to the image processing procedure guiding means 7 via the command input means 12, the image processing procedure guiding means 7 causes the data base means 6 to display "Landscape person" in the image material column. It has a function of guiding classification information such as "flowers" and the above-mentioned group of candidate information in each column other than the image subject column and displaying it as an option on the display unit 10.

When the operator selects one of the displayed options, the image processing procedure guiding means 7 guides the group of candidate information to the right of the selected information. It has a function of displaying on the display means 10 and recording on the image processing procedure recording means 9.

[0023]

One example of the data base according to the present invention is shown in FIGS.
Shown in Further, FIG. 2 shows a processing flow of the image quality improvement work. The state of transition of the display screen of the display means 10 with the progress of the processing flow is shown in the square box on the right side of FIG. The essential points of the image quality improvement processing operation according to the present invention will be described below with reference to FIGS. 2, 7, and 8.

As described above, in the databases shown in FIGS. 7 and 8, in each of the columns other than the image material column, from a certain → mark to the lower side, just before the next → mark, the previous A group of candidate information corresponding to the information on the left side of the → symbol is located appropriately.

Therefore, the database shown in FIGS. 7 and 8 is used.
When a certain information is selected from the information registered in each column of FIG. 7, the group of candidate information appropriately corresponding to the selected information can be found to the right of the selected information.

Therefore, using the databases shown in FIGS. 7 and 8, starting from the classification of the image material, the estimation of the image representation intention, the selection of the image quality improvement point, the selection of the color physical processing, In each judgment that leads to the selection of the image processing procedure and the side effect countermeasure procedure, it is possible to easily guide a group of candidate information that appropriately corresponds to certain information selected in each preceding judgment.

Now, the image quality improving work according to the present invention will be described with reference to FIG.
The processing flow shown in FIG. The operator uses the image processing means 8 to display the initial image of the image material whose image quality should be improved on the display means 10. And the worker
In ii to xiii, using the image processing procedure guiding means 7,
Each column of the data base shown in FIG. 7 and FIG. 8 is sequentially referred to, and as shown in the right frame of FIG.
It is displayed on the display unit 10.

In ii, the image processing procedure guiding means 7 is
The candidate information registered in the image material column of FIG. 7 is displayed on the display means as an option, as shown on the right side of FIG.

Next, the operator marks a circle in the right frame of FIG. 2 according to the characteristics of the design of the given image material and the purpose of use.
As will be shown, one of the above options, which is considered to be the most appropriate, for example, "person" is selected.

Then, in iii, the image processing procedure guiding means 7
Shows the information selected by the worker in ii from underneath the → mark to the right of "Person" in Fig. 7 to immediately before the next → mark in the right frame of Fig. 2 in the box "Energy and cuteness". "Beauty animation and intelligence" is displayed on the display means 10 as an option. Next, the operator selects one option, which is considered to be the most appropriate, from among the options, for example, "beauty" according to the feature of the design of the given image material, the purpose of use, and the like. Hereinafter, in each process from ii to xiii, the guide display of the candidate information by the image processing procedure guide means 7 and the selection by the operator are alternately repeated.

In each of the processes ii to xiii, it is a natural condition for the operator to find an appropriate option if the applicable range of the information registered in the database is wide. . When this condition is satisfied, the image processing procedure guiding means 7 starts from the classification of the ii image subject, estimates the representation intention of the iii image, selects the iv image quality improvement point, selects the v color physical process, and the vi image process. It is possible to easily guide appropriate candidate information in order when making decisions for selecting a procedure and selecting a side effect countermeasure procedure.

The image processing procedure guiding means 7 is vii.
Or xi, the image processing command or side effect countermeasure command that appropriately corresponds to the information selected in each preceding judgment is deleted.
Image processing procedure recording means 9 is guided from the tabulation means 6.
To record. Then, the image processing procedure delivery means 11
Since the image processing command and the side effect countermeasure command recorded in the image processing procedure recording means 9 are handed over to the image processing means 8, the operator uses viii or xii to execute those commands for the image quality improvement processing of the given image material. Available for

In this way, when the applicable range of the information registered in the database is wide, when performing image processing with viii or xii, the worker starts from the classification of the image material, You can use the appropriate image processing commands and side effect countermeasure commands for the image representation intention, image quality improvement points, color physics processing, image processing procedures, and side effect countermeasure procedures. Some or all of the input work can be automated. Also,
Appropriate image quality improvement processing can be easily performed on a given image material.

[0034]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 shows the essential structure of an embodiment of an image processing apparatus for still images according to the present invention. In the figure, 1 is CC
It is a still image input means including a scanner device having a D line sensor, a drive unit, an A / D conversion circuit, and the like. The still image input means 1 captures image light signals of various image materials such as color photographs and color prints, digitally processes the captured image light signals by an A / D conversion circuit, and digitized image information will be described later. Output to the computer 14.

Reference numeral 2 is a still program which has a function of controlling the still image input operation of the still image input means 1 and sending the digitized image information output from the still image input means 1 to the input image recording means 3. Image input control means. The still image input control means 2 is stored in the ROM 4.

Reference numeral 3 is an input image recording means for recording the digitized image information sent by the still image input control means 2. The input image recording means 3 is housed in the RAM 5.

Reference numeral 6 is a database means for registering various kinds of information such as an image processing command and a side effect countermeasure command, and C for recording a database of various kinds of information.
It is composed of a disc such as a D-ROM and an optical disc, and a disc drive device for reproducing and recording various information from these discs. Various information registered in the database means 6 will be described later in detail.

Reference numeral 9 denotes an image processing procedure recording means for recording the image processing commands and the side effect countermeasure commands sent from the image processing procedure guiding means 7 and the image processing procedure delivery means 11 which will be described later with a registration number. The image processing procedure recording means 9 is housed in the RAM 5.

Reference numeral 10 denotes a still image input control means 2, an image processing procedure guiding means 7 and an image processing procedure delivery means 1 which will be described later.
1. A display means including a CRT display for displaying various input / output information of the image processing means 8.

An image processing 7 is a program having a function of sequentially guiding appropriate information from various information registered in the database means 6 and displaying it on the display means 10 as an option. It is a procedure guide means.

When the operator successively selects one of the options displayed on the display means 10, the image processing procedure guiding means 7 outputs a specific image processing operation command and side effect countermeasure operation command to the database. It also has a function of guiding from the image processing means 6 and delivering it to the image processing procedure recording means 9 for recording. The image processing procedure guiding means 7 is housed in the ROM 4.

Reference numeral 8 reads the still image information recorded in the input image recording means 3 and evaluates hue, color, lightness, gradation and tone contrast based on the distribution state of these, hue correction, color correction. , Brightness correction, gradation correction, color tone contrast correction, image noise correction, 2-gradation processing, multi-gradation processing, averaging processing, blurring and sharpening processing, image composition correction, and other correction processing. The processing result information is sent to the display means 10 for display, or sent to the processed image recording means 13 housed in the RAM 5, and the data is displayed.
The image processing means is composed of an image processing program for sending to the recording means 6 and recording.

Reference numeral 11 denotes an image processing procedure delivery means including a program having a function of reading the image processing command and the side effect countermeasure command recorded in the image processing procedure recording means 9 and delivering them to the image processing means 8. The image processing procedure delivery means 11 is a command input means 12 to be described later by an operator.
It also has a function of reading an image processing command or a side effect countermeasure command sent to the image processing means 8 using, and sending it to the image processing procedure recording means 9 for recording. Image processing procedure delivery means 11
Are stored in the ROM 4.

When the image processing procedure delivery means 11 reads the image processing command and the side effect countermeasure command recorded in the image processing procedure recording means 9 and delivers them to the image processing means 8, the operator starts the image processing means 8. The image processing means 8 reproduces the image processing process by using the delivered image processing command and side effect countermeasure command. In this way, when the image processing command or the side effect countermeasure command registered in advance in the database means 6 is applied to a new image material, part or all of the image processing process of the new image material is automatically performed. Can be carried out. The image processing means 8 is housed in the ROM 4.

Reference numeral 12 denotes the still image input control means 2, the image processing procedure guiding means 7, the image processing procedure delivery means 11,
The command input means is composed of a keyboard and a mouse for inputting operation commands and input information necessary for executing various processes to the image processing means 8.

Reference numeral 13 is a processed image recording means for recording the image information of the processing result sent from the image processing means 8. 1
Reference numeral 4 denotes a computer including a CPU 15 that executes various arithmetic processes and a RAM 5 and ROM 4 that can record various information.

An input image recording means 3, an image processing procedure recording means 9 and a processed image recording means 13 are housed in the RAM 5. In the ROM 4, the operation of the CPU 15 and the CPU
By controlling and controlling the entry / exit of information between the RAM 15, the RAM 5, and the ROM 4, the processing operations of the still image input control means 2, the image processing procedure guiding means 7, the image processing procedure delivery means 11 and the image processing means 8 are controlled. The OS 16 which is a control program is stored.

As the OS 16 which is a control program, a multi-job function capable of simultaneously executing a plurality of programs in parallel, and a multi-function capable of dividing the screen of the display means 15 into a plurality of parts and displaying the processing results of the plurality of programs on the same screen. It has a window function and uses a control program that handles still images and moving images.

Various kinds of information registered in the database means 6 will be described. In carrying out the present invention, prior to the execution of the image quality improving process of the image material, the knowledge about the classification of the image material, the knowledge about the expression intention of the image, the knowledge about the image quality improving point, the knowledge about the color physical processing, For example, the knowledge about the image processing procedure, the knowledge about the side effect countermeasure, the knowledge about the image processing command and the side effect countermeasure command that need to be input at the time of executing the image quality improvement processing work, and the related image information are shown in, for example, FIGS.
It is registered in the format shown in FIG. 1 and recorded in the database means 6.

In the image material column shown in FIGS. 7 and 8, knowledge regarding classification of image materials is given. In FIG. 7, a group of information hierarchically arranged from one → mark in the representation intention column of the image to the next immediately before the next → mark is the image material on the left side of the previous → mark. The candidate for the expression intention that is highly likely to be appropriate is given as the expression intention. For example, "magnificence, violence, freshness, divineness" in the expression intention column of the image is highly likely to be appropriate as the expression intention of "landscape" in the image material column.

In the image quality improvement point column, a group of information arranged hierarchically from one → mark to the next immediately before the next → mark is the representation intention of the image on the left side of the previous → mark. The candidate of the image quality improvement point that is highly likely to be realized is given. For example, in the image quality improvement point column, "Create a perspective, brighten the sea sky mountain near the water (horizon) horizon, make the sky color blue, give the sky a sense of depth" in the image expression intention column. There is a high possibility that "magnificence" will be appropriately realized.

A group of information arranged hierarchically from one → mark to the bottom in the processing column on the color physics until immediately before the next → mark is the image quality improvement on the left side of the previous → mark. The candidates for color physics processing that are highly likely to realize points appropriately are given. For example, in the processing field of color physics, "emphasize the difference in color between the near view, middle view, and distant view, and gradually brighten in the order of the near view, middle view, and distant view."
Is likely to be properly realized.

In the image processing procedure column, a group of information arranged hierarchically from one → mark to the next immediately before the next → mark is the physical color on the left side of the previous → mark. This is a candidate of an image processing procedure that is highly likely to appropriately realize the processing. For example, "Increase the contrast of the entire screen by hue correction, increase the color saturation in the near view and decrease it in the distant view" in the image processing procedure column is "Colors of near view, middle view, and distant view" in the color physical process column. There is a high possibility that "emphasizing the difference between" will be appropriately realized.

The above-mentioned image processing procedure includes hue correction, saturation correction, lightness correction, color tone contrast correction consisting of these distribution states, image composition correction, softening correction and shadow correction for blurring or sharpening an image. Processing, correction processing for removing dirt, scratches, noise, etc., or a combination thereof. Then, the hue correction starts from calling the file name in which the initial image information is registered, and specifies the range of correction points in the image, hue evaluation, rough setting of the hue correction value, execution of rough hue correction processing, and processing result This is executed by inputting to the image processing means 8 a series of operation commands for determination, setting of fine adjustment values for hue correction, execution of fine hue adjustment correction processing, determination of fine adjustment processing results, and storage of processing results.
Processings such as color correction, lightness correction, noise removal correction, etc. are similarly executed.

"C1" in the image processing command column of FIG.
, C12, ..., C1N ”and“ C21, C22, ..., C
2N ”and the like are the series of operation command information input to the image processing means 8 when the image processing procedure is actually executed, and each image processing described in the image processing procedure column. It is given in a one-to-one correspondence with the procedure. For example, “C11, C12, ...
"C1N" is a series of operation command information that is highly likely to appropriately realize "enhance the contrast of the entire screen by hue correction" in the image processing procedure column, and C11 is a file name in which initial image information is registered. , A command for specifying the range of correction points in the image,
..., C1N is a processing result save command.

As described above, when the image processing procedure is executed, side effects often occur depending on parameter values such as correction values given in the image processing procedure. Further, in the series of operation commands described above, the range designation of the correction location is designation processing information for minimizing side effects, but the range designation work of the correction location often takes time depending on the design, This is the work that I want to omit if possible. For this reason, the image processing is often executed once as a trial, and after the state of the processing result is checked, the value of the parameter is reviewed and the processing of designating the range of the correction location is often performed as the finishing processing. .

The information for such finishing processing is shown in FIG.
It is given in the side effect countermeasure procedure column. To the bottom of one → mark in the side effect countermeasure procedure column, a group of information hierarchically arranged up to immediately before the next → mark is processed using the image processing command on the left side of the previous → mark. When a side effect occurs as a result of executing, the candidate for the side effect countermeasure procedure that is highly likely to be appropriately dealt with is given. For example, "Adjust contrast to be within color turbidity allowable range" in the side effect countermeasure procedure column is "C11, C12," in the image processing command column.
, C1N ”, the side effect countermeasure information is highly likely to appropriately prevent the side effect when the side effect occurs as a result of the image processing.

"C1" in the side effect countermeasure command column in FIG.
1 ', C12', ..., C1N '"and"C21', C2
2 ', ..., C2N'"is a series of operation command information to be input to the image processing means 8 when the above-mentioned side effect countermeasure procedure is actually executed, and is one described in the side effect countermeasure procedure column. It is given in a one-to-one correspondence with one side effect countermeasure procedure. For example, “C1
"1 ', C12', ..., C1N '" is a series of operation command information that is highly likely to appropriately realize "contrast increase is within color turbidity allowable range" in the side effect countermeasure procedure column.

"P11, P1" in the image information column of FIG.
2, P13 ”,“ P21, P22, P23 ”and the like indicate registration numbers relating to image information of a still image obtained as a result of executing the image processing command or the side effect countermeasure command on the left side of the → mark in the image information column. Then, P11, P21 and the like indicate registration numbers of the initial image information, and the initial image information of the original material is registered under these registration numbers.

Further, P12, P22, etc. indicate the registration numbers of the image information of the still image obtained as a result of executing the image processing by the command given in the image processing command field. Below these registration numbers, the classification of the image material is performed. , The image representation intention, the image quality improvement point, the color physical processing, the image processing procedure, and the image processing command are respectively appropriate, but the image information in which the side effect countermeasure processing is not executed is registered. Since side effect countermeasure processing has not been executed for these pieces of image information, some of them have good image quality improvement levels, and some do not.

P13, P23, etc. indicate the registration numbers of the image information of the still image obtained as a result of executing the image processing by the command of the side effect countermeasure command column. Below these registration numbers, the classification of the image material and the representation of the image are shown. Regarding the intention, the image quality improvement point, the color physical processing, the image processing procedure, the image processing command, the side effect countermeasure procedure, and the side effect countermeasure command. There is.

The method of registering the various data described above in the data base means 6 is as follows. First, prepare image materials by taking photographs or collecting them. Database
Whether or not the data is valid is a natural condition that the applicable range of the information registered in the database is wide. Therefore, in order to satisfy this condition, commercial advertisement using images,
Prepare various image materials for each field, such as education and art, without leaking frequently used image materials.

An image for appropriately improving the image quality of the prepared image material by using the still image input means 1, the image processing means 8, the image processing procedure delivery means 11 and the like with the support of the expert. Process process. And
Image material classification information that appropriately corresponds to the prepared image material, image representation intention information, image quality improvement point information, color physical processing information, image processing procedure information, image processing command information, initial image information, image processing command Image information after execution, side effect countermeasure procedure information, side effect countermeasure command information,
The image information after the side effect countermeasure command is executed is recorded in the database means 6 as a database in the format shown in FIG. 7 or 8. Such preparations are made prior to implementation of the present invention.

Since the information of the database can be easily copied to another disk, once the database is completed, it can be easily supplied to a large number of workers. Therefore, it is possible to support the image quality improvement processing work of many workers by the method described below.

Referring again to FIG. 2, FIG. 7 and FIG. 8, a method of supporting the image quality improvement processing work according to the present invention will be described. An example will be described in which an image material having a woman's face in the center is given and an image quality improvement processing operation is performed.

First, at i, the worker activates the image processing means 8. When the operator sends a command signal via the command input means 12, the image processing means 8 displays the initial image of the image material to be improved on the display means 10. The worker
Thereafter, the initial image is displayed and displayed on the display means 10 up to viii, and the work of ii to viii is executed while watching the initial image.

At ii, the operator activates the image processing procedure guiding means 7. When the operator sends a command signal via the command input means 12, the image processing procedure guiding means 7 causes the database to operate.
The options registered in the image material column of the table are guided and displayed on the display unit 10. In the example of FIG. 7, “landscape person flower” is displayed as shown in the right frame of ii. Next, while looking at the pattern of the given image material displayed on the display means 10, the operator considers the purpose of use of the image and the like, and the image considered to be appropriate from the displayed options. One of the subject classifications, for example, “person” is selected using the mouse of the command input means 12.

After that, in iii, the image processing procedure guiding means 7 is operated based on the command signal by the selection action performed by the worker in ii.
Guides the registered options to the expression intention column to the right of "person" in the image material column of the database and displays them on the display means 10. In the example of FIG. 7, as shown in the right frame of iii, “Energy, cuteness, beauty, vitality and intelligence”
Is displayed. Next, it is displayed on the display means 10,
While looking at the pattern etc. of the given image material, the operator estimates the expression intention suitable for the given image material in consideration of the purpose of use of the image, etc., and determines that it is appropriate from the displayed options. One of the possible expression intentions, for example "beauty", is selected using the mouse.

Thereafter, in iv, the image processing procedure guiding means 7 is operated based on the command signal by the selection action performed by the worker in iii.
Is "Beauty" in the expression intention column of the image of the database.
The registered option is guided to the image quality improvement point column to the right of, and displayed on the display unit 10. In the example of FIG.
As shown in the right frame of iv, "Whiten teeth, smooth skin, weaken spots, moles, and scratches" is displayed. Next, the operator estimates the image quality improvement point suitable for realizing the expression intention selected in iii while observing the design and the image quality state of the given image material displayed on the display unit 10, One of the image quality improvement points that is considered appropriate from the displayed options, for example, "Blot, mole,
Weak wound "is selected using the mouse.

Thereafter, at v, the image processing procedure guiding means 7 is based on the command signal by the selection action performed by the operator at iv,
The registered option is guided and displayed on the display means 10 in the processing field on the color physics to the right of "Stain, mottle, and scratches are weakened" in the image quality improvement point field of the database. In the example of FIG. 7, as shown in the right frame of v, “stain,
Weakened the sharpness, which hides the scratches with the surrounding skin color. ” Next, while looking at the design, the image quality state, etc. of the given image material displayed on the display unit 10, the worker performs the color physical processing suitable for realizing the image quality improvement point selected in iv. Using the mouse, one of the estimated and displayed color physical processing that is considered to be appropriate, for example, "weakness" is selected.

Then, in vi, the image processing procedure guiding means 7
The registered options are guided to the display means 10 in the image processing procedure column to the right of "Decrease Sharpness" in the processing column on the data color physics. In the example of FIG. 7, as shown in the right frame of vi, "An angle sleep between the shadow area and the intermediate area of the tone curve in which the softness filter processing is performed using the G filter" is displayed. Next, while looking at the design, image quality state, etc. of the given image material displayed on the display means 10, the worker performs an image processing procedure suitable for realizing the color physical processing selected in v. One of the image processing procedures that is estimated and considered to be appropriate from the displayed options is selected by using the mouse, for example, “Perform softness filter processing using G filter”.

After that, in vii, the image processing procedure guiding means 7 is executed based on the command signal by the selection action performed by the worker in vi.
Guides the registered information to the image processing command column and the image information column to the right of "Perform softness filter processing using G filter" in the image processing procedure column of the database. Then, it is displayed on the display means 10. In the example of FIG. 7, as shown in the right frame of vi, the image processing command “CL
1, CL2, ..., CLN ”and image information PL1, PL
2, PL3 is displayed.

Next, while looking at the design and image quality state of the given image material displayed on the display means 10, the operator finds an inappropriate command in the displayed image processing commands, for example, an initial command. Make corrections such as changing the image file name command to the image file name command to be improved. After that, the worker sends a command signal to the image processing procedure guiding means 7 and records the corrected image processing command in the image processing procedure recording means 9 with an appropriate registration number. Next, the operator activates the image processing procedure delivery means 11 to deliver the image processing command recorded in the image processing procedure recording means 9 to the image processing means 8.

After that, in viii, the worker operates the image processing means 8
And execute the image processing work using the image processing command passed by vii. Each time image processing is executed,
The image processing means 8 changes the image before image processing into the image after image processing and displays it on the display means 10. A method of executing the image processing work will be described later in detail.

Thereafter, in ix, the operator determines the image processing result. The operator performs the image processing work and determines the image processing result while comparing the image information PL3 with the image information of the image material to be improved.

The image information PL3 is the same as the above description and FIG.
As can be understood from FIG. 8, the "beauty" of an image whose image material is "person" is expressed by "improve stains, moles, and scratches" image quality improvement points, so "decrease sharpness" color physics The above processing is realized by using the image processing means 8 with the image processing procedure of "processing the softness filter using the G filter" and the side effect countermeasure procedure of "adjusting the parameter value so as not to blur too much". The image information has a good image quality.

Therefore, in viii or ix, the operator displays the image information PL3 having a good image quality state and the image information after the image processing of the image material to be improved side by side on the screen of the display means 10 for comparison. Thus, it is possible to set the values of parameters and the like required for image processing while easily grasping the target image quality state to be improved.

At ix, when the determination result is OK, the worker finishes the image processing work or returns to iii again and performs the image quality improvement processing work on the next improvement point of the image material. When a side effect occurs and the judgment result is NG, go to x. To go to iii or x, the operator sends a necessary command signal to the image processing procedure guiding means 7 via the command input means 12. From ix to xi, the operator displays the image after the image processing of the image material on the display screen of the display means 10.

At x, the image processing procedure inducing means 7 causes the image processing procedure guiding means 7 to display "CL1, CL2," in the image processing command column of the data base, based on the command signal by the selection action performed by the operator at vi.
.., CLN ”, the registered options are guided and displayed on the display means 10. In the example of FIG. 7, as shown in the right frame of x, “Do not overblurring, perform softness filter processing only on face range” is displayed. Next, while looking at the image information which is the image processing result of viii displayed on the display means 10, the worker is displayed in consideration of the image quality state due to the side effect caused by the image processing of viii. From the options, the side effect countermeasure procedure effective for eliminating the side effect is estimated, and one side effect countermeasure procedure that is considered to be appropriate, for example, "process the softness filter only in the face area" Select with the mouse.

Thereafter, at xi, based on the command signal by the selection action performed by the operator at x, the image processing procedure guiding means 7
In the side effect countermeasure procedure column of the database, the information in the side effect countermeasure command column and the image information column to the right of "Perform a softness filter only on the face area" is guided to the display means 10. indicate.

In the example of FIG. 7, as shown in the right frame of xi,
Side effect countermeasure command "CM1 ', CM2', ..., CM
N '"and image information PL1, PL2 and PL3' are displayed. Next, the operator corrects an inappropriate command in the displayed side effect countermeasure commands, for example, an initial image file name command. After that, the operator sends a command signal to the image processing procedure guiding means 7 and records the side effect countermeasure command in the image processing recording means 9. Next, the worker activates the image processing procedure delivery means 11 and delivers the side effect countermeasure command recorded in the image processing recording means 9 to the image processing means 8.

Thereafter, in xii, the worker again activates the image processing means 8 and executes the image processing work by using the above-mentioned side effect countermeasure command.

The method of executing the image processing work in viii and xii will be described in detail. After activating the image processing means 8, the worker first confirms whether the image information file name of the image material to be improved is input as the initial image file name. When this confirmation is completed, formally, the image processing means 8 is automatically given all of the initial image information and the image processing command or the side effect countermeasure command, so that the image by the given image processing command or side effect countermeasure command is given. It is possible to perform the entire treatment process all at once by penetrating all at once.

However, the initial image file name in the image processing command or the side effect countermeasure command recorded in the image processing recording means 9 is changed from the image file name of the image material registered in the database means 6 to the image quality. The image file name of the image material that is the target of the improvement processing work has been changed. Therefore, in the image processing command or the side effect countermeasure command recorded in the image processing recording unit 9, a command for designating an image range having a high degree of dependence on the image pattern or the like, and a correction processing command requiring subtle mixing Inevitably, inconvenience occurs.

However, even in such a case, the data
Many of the image processing image quality improvement commands or side effect countermeasure commands output from the image processing unit 6 to the image processing recording unit 9 can often be used as they are.

For example, as described above, the hue correction processing starts from the calling of the file name in which the initial image information is registered, the range of correction points in the image is designated, the hue item to be corrected is set, and the hue evaluation is performed. Execution, rough setting of hue correction value, execution of rough correction processing, determination of processing result, setting of fine adjustment value of hue correction, execution of fine adjustment correction processing, determination of processing result, saving of processing result It is executed by inputting a command to the image processing means 8. Of the series of operation commands, it is often not possible to use the range of the file name in which the initial image information is registered and the correction position. It is a command related to the setting and setting of the fine adjustment value of the hue correction, and other commands, that is, the setting of the hue item to be corrected, the execution of the hue evaluation, the rough setting of the hue correction value,
In many cases, commands relating to rough correction processing, processing result determination, fine adjustment correction processing, processing result determination, and processing result storage can be used as they are. The same applies to correction items other than hue, such as saturation, brightness, gradation, contrast, image noise, image composition, softening, and sharpening.

Therefore, it is a particularly difficult judgment work for an unskilled person, that is, hue correction, saturation correction, brightness correction, gradation correction, tone contrast correction, image noise correction, image composition correction, blur correction and sharpening correction. There is a high possibility that the work of determining which correction item should be used for correction and the work of estimating an appropriate correction value can be greatly reduced.

In many cases, correction values given by various correction processes need to be manually input again. However, the order of correction values is often correct, and only a slight finishing of the correction values is necessary. There is a high possibility that the correction will be completed with. Further, with respect to correction processing that does not specify an image range or correction processing that does not require subtle blending, there is less inconvenience, and it is more likely that not only correction item specification but also correction value setting can be automatically used. . In this way, many tasks of the image processing process are more likely to be performed automatically.

However, as a matter of course, the image material highly similar to the image material given to the image database 6 for improving the image quality or the expression intention suitable for the given image material is not registered. Case or database means 6
If no highly similar image processing command or side effect countermeasure command given to the image processing command or the side effect countermeasure command that can be applied to improve the image quality of the image material is found, it is inevitable that an inconvenience will occur.

In such a case, a method similar to the above-mentioned method of temporarily registering various kinds of data in the data base means 6 with the support of a skilled person, or a second best method is found. By making improvements, information such as a new image processing command or side effect countermeasure command is created and additionally registered in the database means 6.

In any case, if there is no highly similar image processing command or side effect countermeasure command registered in the data base means 6, it is possible to avoid inconvenience. Absent.

Due to such circumstances, in the present invention, vi
Command input work required for image processing performed on ii and xii
The image processing procedure guiding means 7 is an automatic processing in which the image processing command or the side effect countermeasure command guided from the data base means 6 by vii or xi is used as it is, and a manual processing in which an operator manually inputs these commands. Are appropriately switched and proceeded.

Even in the case of automatic processing, each time the processing procedure is advanced, the processing work is advanced while a pause state is appropriately added to confirm the contents of the command input and the processing result.

Among the image processing commands and the side effect countermeasure commands guided by the image processing procedure guiding means 7 from the data base means 6, those relating to the range designation and the setting of the minute correction value which are expected to cause inconvenience in advance. With regard to, the processing work is carried out while manually changing.

When an inconvenience occurs during the processing process, regardless of whether it is an automatic process or a manual process, the process returns to the state immediately before the process in which the inconvenience occurred and the input information necessary for the process is returned. You can change it manually or input it again and try again.

After exiting the processing that causes inconvenience,
The image processing procedure guiding means 7 returns to the automatic processing in which the image processing command or the side effect countermeasure command guided from the database means 6 is used as it is, and the processing work is advanced. While doing this, the image processing work in viii and xii is performed.

After executing the processing of xii, the operator determines the processing result of the side effect countermeasure at xiii.

During execution of the image processing operation of xii or when determining the processing result of xiii, the image information PL3 ′ after the side effect countermeasure processing displayed on the display means 10 is compared with the image quality state of the image material to be improved. .

The image information PL3 'is the above-mentioned image information PL.
Similar to 3, the image information has a good image quality. Therefore, similarly to ix, the operator displays the image information PL3 ′ having a good image quality state and the image information after the side effect countermeasure processing of the image material side by side on the display unit 10 to indicate the target image quality state to be improved. Values such as parameters required for image processing can be set while easily grasping.

When xiii is NG, the process returns to x, another side effect countermeasure procedure is selected, and x to xii are executed again. When OK, end or return to iii. And when returning to iii, after ix ii
Just like when returning to i, improve the next improvement. The operator repeats the above processing until all the points to be improved of the given image material are improved.

The worker, if necessary, uses the image processing procedure guiding means 7, the image processing means 8, and the image processing procedure delivery means 1
When a command signal is sent to 1, the process can be returned to any place of i to xii at any time and any processing can be re-executed. Similarly, it is possible to omit any processing of i to xii and start from any position of i to xii.

As described above, the worker starts from the classification of the image material, the estimation of the image representation intention, the setting of the image quality improvement point, the color physical processing selection, the image processing procedure selection, and the image processing command selection. Selection, setting of side effect countermeasure procedures,
It is possible to easily induce the most likely option for each of the side effect countermeasure command selections and to make the most appropriate selection among them.

Further, it is highly possible that the operator is appropriate for each of the classification of the image material, the image representation intention, the image quality improvement point, the color physical processing, the image processing procedure, the side effect countermeasure procedure, and the command selection. Since the image processing can be executed by using the image processing command or the side effect countermeasure command, the burden of inputting the image processing command and the side effect countermeasure command can be reduced and trial and error can be reduced. Further, the worker can perform the work while easily grasping the image quality state of the improvement target during the image processing work or when determining the image processing result. In this way, the operator is more likely to be able to easily perform the image quality improvement processing operation that is highly likely to be appropriate for the given image material.

As described in detail above, the present invention can support the image quality improvement processing work of the worker.

The present invention is mainly intended for still images.
However, since the moving image is a still image when viewed in frame units, the present invention can be applied to the moving image. An implementation method for moving images will be described below.

FIG. 3 shows a flow chart for improving the image quality of a moving image according to the present invention. According to the present invention, as shown in FIG. 3, the process of improving the image quality of a moving image is very short when viewed from the frame number assigning process (1) for improving the handling of the moving image and the number of frames of the entire moving image. An image processing command (hereinafter referred to as an image processing command including a side effect countermeasure command) while performing image processing on an image having a small number of scattered frame numbers, for example, an image of 1 frame for every 10 frames. Image processing command creating steps (2) to (5),
It is composed of an image quality improvement executing step (6) for performing image processing using the image processing commands created in (2) to (5) and a moving image completing step (7) to (8) after the image processing.

Then, in (1), in order to improve the handling of the moving image at the time of executing the image processing, the frame number is given to the moving image which is given as the image material and is to be subjected to the image quality improvement.

In (2), while paying attention to the change of the scene and the break of the cut, the moving image with the frame numbering is selected for each appropriate range where the change of the scene and the change of the pattern are small. Divide into small pieces.

In (3) to (5), the iterative process is performed to create the image processing command used in (6).
The frame in one divided part divided in (2),
4 and 9 show the relationship between the application ranges of the image processing commands C1, C2, ..., Cn created by repeating (3) to (5). The meanings of the symbols are shown at the bottom of FIG. The relationships shown in FIG. 4 and FIG. 9 are established in all the divided parts of the moving image targeted for image quality improvement.

In the first time of (3), the processing flow shown in FIG. 2 is applied to the head frame image corresponding to a of FIG. 4 in all the divided parts divided in (2). Therefore, the image quality improving work is executed to create the image processing command (C1 in FIG. 4).

In the moving image, the frame images within the range where the number of frames is appropriately separated are slightly different except for the cut breaks. Therefore, by using an image processing command that has performed image processing well on an image of a certain frame, other frames that remove the cut breaks and appropriately separate the frame and the number of frames are used. Even if the image processing is performed on the image of the camera, the image processing result may be good.

Therefore, the head frame image (a in FIG. 4) in each of the divided parts divided in (2) can be satisfactorily improved in image quality. The image processing command created in (3) (C1 in FIG. 4). ) Can be suitably used for improving the image quality of other frame images in which the number of frames in the same division is appropriately separated.

When it is judged whether the image processing command to be applied to the image quality improvement of all the frame images in a certain division is proper, the number of all the frames in the division is targeted. It is more efficient to perform image processing on only the frame images in each division than to perform image processing.

Therefore, in the first division of (4), in each of the divisions divided in (2), the first frame (a in FIG. 4) and the frame of the division targeted in the first division of (3) are included. The image processing command created in (3) for the discrete frames (a + b, a + 2b, ..., C in FIG. 4) that are given by the increment numbers (b in FIG. 4) that appropriately separate the number of frames. C of 4
Using 1), image processing is executed sequentially in a batch.

In (5), the image processing result executed in (4) is determined. If there is a defect in the determination result in any of the divided parts, in order to recreate the image processing command for the frame group in the defective judgment range in the divided part in which the defect has occurred, (3) to ( Repeat 5).

In the case of (5) the first judgment, if a to f are good judgments but f + b to c are bad judgments, as shown in FIG. 4, the image processing command created in the first time of (3). C1
The good application range of is only a to f, and a good processing result cannot be obtained in the frame number range of the last numbers f + 1 to c determined to be good.

Therefore, in the second time (3), 2 in FIG.
As shown in the second time, the image processing command C1 created in the first time in (2) is corrected to create a new image processing command C2 for f + 1. Then, in the second time of (4), as shown in the second time of the (4) processing target frame column of (4) of FIG. F + 1 +, which is a discrete frame that appropriately separates the number of frames from f + 1 targeted in the second time in 3).
For b, f + 1 + 2b, ... C, the image processing command C2 created in the second time in (3) is used to execute the image processing collectively and sequentially.

Similarly, at the n-th time in (3), as shown in the n-th time in FIG. 9, the last number m + 1 judged to be good in the (n-1) -th time is targeted, and the n- in (2) is performed. The image processing command Cn-1 created in the first time is modified to create a new image processing command Cn.

Then, in the n-th time of (4), the n-th time of (5)
In each of the divided portions that have a defect in the -1st determination, as shown in the nth time in the frame to be processed column (4) in FIG. 9, it is determined to be good in the n-1th determination in (3). The last number m + 1 and the number of frames are appropriately separated, and the frames are scattered, m + 1 + b, m + 1 + 2b, ...
Using the image processing command Cn created in the nth time of (3), the image processing is sequentially executed collectively.

In (5), when there is no determination failure in all the divided parts, the image processing command C1 is the frame range a to f and the image processing command C2 in the subsequent image processing execution in (6). Are ready for image processing in the frame ranges f + 1 to g and the image processing command Cn is in the frame ranges m + 1 to c.

The column (6) in FIG. 9 shows the frame number to be processed by each of the image processing commands used in (6) in FIG. In (6) of FIG. 3, it is possible to perform good image processing on all the frames of the moving image, but in order to save processing time, it is shown in the column (6) of FIG. (2) ~
In (5), only the frame group that has not been processed or has not been determined is targeted for image processing.

At (6), the image processing commands C1, C2, ..., Cn created at the 1st to nth times of (3) are used,
(2) to (5), which accounts for the majority of the total number of frames in a movie
In this case, the image processing is executed collectively and sequentially for a frame group that has not been processed or has not been determined.

The good image processing results in (3), (4), and (6) are recorded in the order of execution.

In (7), the image processing results are re-recorded in the frame number order to re-combine the frame images after the image quality improvement in the frame number order. In (8),
(7) Play back and check the whole moving image combined in frame number order. If a defect is found, the process returns to (3) and the defective portion is corrected in the same manner as described above. If there is no defect, the image quality improvement work ends. In this way,
In (7) to (8), the entire moving image after image quality improvement is completed.

As described above, when the image processing is executed in (6) or (4), the image processing command created in (3) can be used. Therefore, in (6) and (4), the image processing can be performed completely automatically, so that the present invention can efficiently improve the image quality of a moving image.

FIG. 5 shows an embodiment for executing the processing flow shown in FIG. As the image processing apparatus for moving images, in addition to the means of No. 1 to No. 16 of the image processing apparatus shown in FIG.
Method is used.

The moving picture reproducing / recording means 17 comprises a digital VTR deck, a VTR tape and a display.
A VTR in which a moving image recorded with a video camera is recorded in advance.
The video signal of the moving picture is sent from the tape to the display in the moving picture reproducing / recording means 17, and can be reproduced in various control modes such as normal reproduction, fast-forward, slow, reverse, and stop, and of any part of the moving picture. The video signal is sent to the frame image extracting means 18.

The moving image reproducing / recording means 17 may also record the frame image signal after image quality improvement, which is sent through the frame image recording control means 19, on the VTR tape.

The frame image extracting means 18 makes it possible to handle the video signal of the moving image by the frame number.
The frame signal sent from the moving image reproducing / recording means 17 is detected, the number of frames is counted to generate a frame number, or the frame image signal is provided with a frame number. The program is sent to the display means 10 and the moving image input image recording means 20, and is stored in the ROM 4.

The moving image input image recording means 20 is an external storage device composed of an MO (magneto-optical) disk drive device and an MO disk, and in order to record a moving image which requires a large storage capacity, still image quality is improved. It is used instead of the input image recording means 3 used for improvement.

The frame image sent to the display means 10 via the frame image extracting means 18 is displayed on the display means 10 with a frame number attached. Further, the frame image sent to the moving image input image recording means 20 via the frame image extracting means 18 is given a frame number generated by the frame image extracting means 18 as a file name. Then, the MO in the moving image input image recording means 20
It is recorded on the disc.

When the operator sends an arbitrary frame number, a frame number at the beginning and end of an arbitrary range, or an increment number via the command input means 12, the frame image extracting means 18 outputs the frame number. Based on the number, the frame image signal of the corresponding number or the range of corresponding numbers recorded on the MO disk in the moving image input image recording means 20 is read, and the frame number is added to the display means 10. The image is displayed or the image of the frame number which is given by the increment number is displayed on the display means 10. The frame image extracting means 18 also sends the frame image signal to the display means 10 by reversing the order of the numbers.

Further, the frame image extracting means 18 is
Similarly, the moving image input image is added to the frame image signal of the corresponding number or the corresponding number range recorded on the MO disk in the moving image input image recording means 20 while giving the file name of the frame number. It is also sent to the recording means 20.

Further, when the operator sends a command signal through the command input means 12, the frame image extracting means 1
Reference numeral 8 denotes a frame number management means 22, which will be described later. Referring to FIG. 10 and FIG. 11, an arbitrary frame image signal is displayed on the display means 10 in the same manner as described above. It may also be sent to the moving image input image recording means 20.

In (2) of FIG. 3, when dividing a moving image, the operator looks at the frame number and the frame image displayed on the display means 10 by the frame image extracting means 18,
When the frame image to be the beginning or end of the divided portion is displayed on the display means 10, the command input means 12
A command signal is sent to the moving picture dividing means 21.

The moving picture dividing means 21 generates a division number on the basis of the above-mentioned command signal, or regards the frame number displayed on the display means 10 as the head or end number of a certain divided portion, This program is sent to the frame number management means 22 together with the division number, and is stored in the ROM 4.

The frame number management means 22 is based on a command signal or input information sent by the operator via the command input means 12, and the frame range of the divided portion, the application range of the image processing command, and the image processing command. The determination result is recorded in the format shown in FIGS. 10 to 12, and the image processing procedure recording means 9 and FIG.
With reference to FIG. 12, an initial image file name that gives a target of image processing in the image processing command is read, for example, by reading the start number, the end number, and the increment number indicating the application range of the image processing command. Number a to number a
This is a program for generating an image processing command changed to + b, a + 2b, ..., C and sending it to the image processing procedure recording means 9, and is stored in the ROM 4.

FIG. 10 shows the frame number range of each divided portion by the combination of the frame numbers at the beginning and the end.
When dividing the moving image in (2), the moving image dividing unit 2 is based on a command signal sent by the operator via the command input unit 12.
1 registers.

FIG. 11 shows the application range of the image processing command created in (3) and (i) at the time of command creation, and the application range after determination, for each repetition of (3) to (5). Show the relationship.

The applicable range at the time of command creation is (4)
It is intended to be used in (i), and in (3) and (ii) after the image processing command is created in (3) and (i), the start number of the division or the number for which the previous determination is good + 1 The operator registers the end number c as shown in the applicable range column at the time of command creation in FIG. 11. At that time, as shown by b in FIG. 11, an increment number for giving a scattered frame number is also registered.

The applicable range after the determination is to be used in (i) of (6), and the start number of the division or the number +1 for which the previous determination is good and the last number for which the determination is good. , As shown in the application range column after the determination in FIG.
The worker registers after determining the image processing result in (5).

FIG. 12 shows a good image processing determination result by a circle, which is registered by the operator after the image processing result is determined in (5).

While the image processing means 8 is executing the processing flow of FIG. 2 at (3) (i) of FIG. 3, when a predetermined command signal is given from the operator through the command input means 12, The frame image signal after the image processing is sent to the moving image processing image recording means 23 while adding frame numbers such as numbers a and a + b as file names. An image processing command given from the image processing procedure recording means 9 via the image processing procedure delivery means 11 when the image processing is executed completely automatically in (4) (ii) and (6) (ii) of FIG. The same is done when a given command is given inside.

The moving image processing image recording means 23 is an external storage device composed of a Mo disk drive device and a Mo disk in order to record a moving image requiring a large storage capacity, and is used for improving the image quality of a still image. It is used instead of the used processed image recording means 13.

The frame image recording control means 19 is a frame image signal after image processing recorded in the order sent from the image processing means 8 based on a command signal sent by the operator via the command input means 12. A moving image processing image recording means 23
From the frame number in order from the frame number and sent to the moving picture reproducing / recording means 17 in the frame number sequence.
It is stored in ROM4.

The moving image reproducing / recording means 17 records the frame image signal after the image processing, which is sent through the frame image recording control means 19, on the VTR tape in the moving image reproducing / recording means 17. At this time, if necessary, the moving image reproducing / recording means 1
The frame image after image processing is recorded in a tape different from the tape in which the moving image material of the VTR tape in 7 is recorded, or in a different recording space.

The details of the moving image quality improvement processing flow shown in FIG. 3 will be described with reference to FIGS. 4 to 5 and 9 to 12.

In (1) of FIG. 3, the worker preliminarily sets the VTR.
The VTR tape on which the moving picture taken by the camera is recorded is set in the moving picture reproducing / recording means 17, and the moving picture is subjected to the slow reproduction or the reverse feed to specify the moving picture part to be subjected to the image quality improvement processing. , To the frame image extracting means 18.

The frame image extracting means 18 operates in accordance with a command signal sent by the operator via the command input means 12 so that the frame of the moving picture sent from the moving picture reproducing / recording means 17 is reproduced.
The frame number and the frame image are sent to the moving image input image recording means 20 while generating the frame number for each frame.

The moving image input image recording means 20 assigns a frame number as a file name for each frame, and the frame image of the entire moving image to be subjected to image quality improvement is stored in the moving image input image recording means 20. Record on MO disc. Then
In (2) of FIG. 3, in order to divide the moving image finely, the operator sends a command signal to the frame image extracting means 18 via the command input means 12, and the moving image input image recording means 20 sends it. While playing the incoming frame image in slow playback, reverse feed, frame feed, etc.,
The frame number is added and displayed on the display means 10.

Then, when the display means 10 displays the frame change of the scene to be cut at the divided portion or the frame image of the cut break, the operator divides the command signal into moving images through the command input means 12. Send to means 21.

The moving picture dividing means 21 generates a division number based on the signal. Then, the moving image input image recording means 2
The frame number sent from 0 together with the division number
It is sent to the frame number management means 22. The frame number managing means 22 sets the frame number as the leading or trailing frame number, as shown in FIG.
Record in.

In (3) of FIG. 3, with respect to all the divided parts divided in (2), the following (3) (i), (3) (i) will be described.
Perform the processing work of i).

(3) (i) In the first time, according to the processing flow of the image quality improving work of FIG. 2 described above, the image quality of the image of the head frame number (a in FIG. 4) of each divided portion is targeted. Perform improvement work.

Then, in vii and xi of FIG. 2, the database
The image processing command and the side effect countermeasure command registered in the scanning means 6 are called and corrected to create a new image processing command. At that time, the worker identifies the input device for giving the image material, the initial image file name, the output device for saving the image after the image processing, and the identification name of the moving image input image recording means 20 as the image file name after the image processing. , The start frame number of the divided part (a in FIG. 4), the identification name of the moving image processing image recording means 23, and the start frame number of the divided part (a in FIG. 4) in the new image processing command. to add.

Further, the worker attaches a registration number (command C1 in FIG. 4) to the created image processing command and sends it to the image processing procedure recording means 9 for storage.

Then, in viii and xii in FIG. 2, image processing is executed for the image of the first frame of each divided portion, and the frame number determined to be good in ix or xiii in FIG. The processed images in the order of execution in the moving image processed image recording means 23,
Record.

Further, as indicated by a circle in FIG. 12, an image quality improvement end index is registered for the frame number (a in FIG. 4) for which the image quality improvement has been completed.

3 (ii) At the first time, the operator sets the frame number management means 22 to the applicable frame range of the image processing command (command C1 in FIG. 4) created in 3 (i) as shown in FIG. Registration is performed as a (start number) to c (end number) or b (increment number) shown in the column C1.

3 (ii) In the first time, the start number is
The start number of the divided portion (a in FIG. 4) is given, and the end number of the divided portion (c in FIG. 4) is given as the end number.
As the increment number, a value equal to or less than the end number-the start number of the divided portion is given so that b ≦ c−a in FIG.

The start number, the end number, and the increment number are the columns of (4) of FIG. 9 when the frame number is given as the file name of the image to be image-processed in (4) (i) of FIG. Then, as the frame to be processed, a + b, a + 2b,
, C are used to give frame numbers in increments of b. After performing (i) and (ii) in (3) for all the divided parts, go to (4).

(4) (i) At the first time, the operator sends a command signal to the frame number management means 22 via the command input means 12.

Based on the command signal, the frame number management means 22 uses the image processing command recorded in the image processing procedure recording means 9 in (3) (i) (command C in the first time of FIG. 4).
Read 1). Further, referring to FIGS. 10 and 11, the leading frame number, the trailing frame number, and the increment number indicating the applicable range of the command are read, and the image processing command C is read.
Image file name number a in 1 that gives the image processing target
, C are changed to the numbers a + b, a + 2b, ..., C and the image processing commands are given in increments of the number b.
The number of system numbers is sequentially generated and sent to the image processing procedure recording means 9 for storage.

Then, in (4) (ii) the first time, the operator sends a command signal to the image processing procedure delivery means 11 via the command input means 12. Then, the image processing procedure delivery means 11 delivers the image processing command sent to and stored in the image processing procedure recording means 9 to the image processing means 8. afterwards,
When the worker starts the image processing means 8, the image processing means 8
Using the above image processing command, frame number a +
Image processing is sequentially and continuously performed collectively on b, a + 2b, ..., C as processing targets. The processing result is recorded in the moving image processing image recording means 23 while registering the frame number as a file name in the order of execution.

In (5), the operator sends a command signal to the image processing means 8 via the command input means 12. Based on the command signal, the image processing means 8 calls the image processing result performed in (4) and (ii) from the moving image processing image recording means 23 and displays it on the display means 10. To judge.

Then, as indicated by f + b, f + 2b, ..., C in the first column of the judgment failure in FIG. 9 (5), a frame number whose processing result is not good is found. Then, as shown by a to f in the applicable range column after the determination in FIG. 11, the operator sets the frame number in the range where the determination is good.
It registers in the system number management means 22.

Further, as shown by a circle in FIG. 12, the operator sends an index for which the image quality improvement processing has been completed to the frame number management means 23 for a frame number for which the determination is good, and records it. The frame number for which this index was not sent is either the result of the judgment in (5) is bad or the frame number for which image processing has not been performed.
It is a mobile number.

When repeating (3) to (5) in FIG.
In (3) (i) repeated, the last frame (f in FIG. 4, g in the second time, and m in the n−1 time) in the last frame for which the determination of the previous time is good is performed in each divided portion. Targeting the next (in FIG. 4, f + 1 for the second time, g + 1 for the third time, and m + 1 for the nth time), a new image processing command (in FIG. 4, the second command C2,
Cn) is created for the nth time, and the processing of FIG. 2 is executed in the same manner as (3) (i) the first time.

As described above, except for the cut break,
Frame images whose frame numbers do not differ greatly differ only slightly. For this reason, if you create a frame for the last frame for which the previous determination was good and make a slight correction using the saved image processing command, the frames after the last for which the previous determination was good are corrected. Often, you can create image processing commands for your computer.

Therefore, in (3) and (i) of repetition, when a new image processing command is created for the frame of the judgment failure range, it is indicated in the image processing command column of (3) of FIG. As you can see, the second time, the command C created in the first time
1 is called from the image processing procedure recording means 9 and corrected to create the command C2.

Then, in repeated (3) (ii), the operator sets the applicable frame range of the image processing command (C2 in the second time) created in repeated 3 (i) in the C2 column of FIG. The frame numbers are registered in the frame number management means 22 in the same manner as the last frame numbers f + 1 to c that were judged to be good just before.

In the repetition (4) (i), the operator operates the command signal through the command input means 12 to send a frame signal.
The system number management means 22 is the same as the image processing procedure recording means 9 shown in FIG.
(4) (i) In the same manner as the first time, the image file name in the image processing command C2, that is, the last frame number f + 1 that was good in the previous determination is set to f + 1 +
An image processing command changed to b, f + 1 + 2b, ..., C is generated, sent to the image processing procedure recording means 9, and stored therein.

Then, in the repetition (4) (ii), using the above image processing command stored in the image processing procedure recording means 9, the second time is f + 1 + b, f + 1 + 2b, ...
Similar to the first time in (4) and (ii), the image processing is collectively and sequentially performed on the target c.

The repeated processing results in (4) and (ii) are recorded in the moving image processing image recording means 23 while registering frame numbers as file names in the order of execution. At this time, if the frame numbers are duplicated, the previous result is overwritten and recorded.

In (5) of the repetition, the worker judges the image processing result. If the judgment is defective, a frame number whose processing result is not good is found, as indicated by the second time g + b, g + 2b, ..., C in the judgment defective column of FIG. 9 (5).

Then, in the applicable range column after the determination in FIG.
As indicated by +1 to g, ..., M + 1 to c, the first frame number of good judgment +1 to the last frame number of good judgment are registered in the frame number management means 22. n
Similarly to the second time, the steps (3) to (5) are performed to determine the image processing result, and the frame number management means 22 is executed.
Register to Then, the processing operations (3) to (5) are repeatedly executed until the determination results of all the divided portions are good.

In (6), the image processing command stored in the image processing procedure recording means 9 in (3) (i) of the repeating step,
Using C1, C2, ..., Cn, etc., the image processing is performed for each of the applied ranges after the determination shown in FIG. Run.

Therefore, in (6) (i), (4) (i)
The frame number management means 22 is carried out in the same manner as the above.
However, referring to the image processing procedure recording means 9, the image processing command stored in (3) (i) of the repeating step is read. Then, the applicable range after the determination shown in FIG. 11 and FIG.
Refer to the frame number that is not given with a circle, and apply the image processing commands used in (6) and (ii) to the number of frames for which image quality improvement has not been performed for each applicable range after the determination. It is generated and sent to the image processing procedure recording means 9 for storage. (6)
As the image file name of the processing target in the image processing command used in (ii), a frame number without a circle is given in FIG.

Then, in (6) (ii), (4) (ii)
In the same manner as in (6) and (i), all the image processing commands stored in the image processing procedure recording means 9 are used to identify all the frame numbers for which the image quality improvement in all the divided portions is not processed. As processing targets, batch and sequential image processing is performed. The result of the image processing is recorded in the moving image processed image recording means 23 in the order of execution. In (6) (i) and (4) (i), the frame number management means 22
(3) The image processing command created in (i) is read from the image processing procedure recording means 9 and is targeted for image processing from FIGS. 11 and 12 registered in (3), (ii) and (5). Read the frame number and (6) (ii) or (4)
The image processing command used in (ii) is generated.

Therefore, in (6) (ii) and (4) (ii), when performing image processing, (6) (i) and (4) (i)
Since the image processing command generated in step 3 can be used as it is, in (6) (ii) and (4) (ii), image processing is performed by fully automatic processing.

In (7), the operator uses the frame image recording control means 19 to record the images in the execution order in the moving image processing image recording means 23 (3), (4), and (6). The image processing results are read in the frame number order and recorded in the moving image reproducing / recording means 17 in the frame number order.

In (8), the moving picture reproducing / recording means 1 in (7).
The whole moving picture recorded in the frame number 7 in the order of frame number is reproduced by using the moving picture reproducing / recording means 17 and checked for any defect.
If there is a defect, the process returns to (3), and the defective portion is corrected in the same manner as described above. If there is no defect, the image quality improvement work ends. As described above, the image quality improvement work of the moving image is completed.

When performing the image processing on a large number of frame images in (4) (ii) and (6) (ii) in a completely automatic manner, the above-mentioned means 17 is used as a moving image processing apparatus.
23 to 23, means for extracting a region of interest in the image is used by detecting the hue, saturation, and lightness of a specific range from the image. As a result, the range designation work of the correction point can be automated, so that the image quality improvement work of the moving image can be efficiently performed in which the work amount and the processing time are significantly longer than those of the still image.

[0184] Further, the image processing device for moving images is installed in the network.
A plurality of input means and a plurality of output means may be added to one image processing device for moving images. Then, when a plurality of workers work, the image quality improving process of the moving image can be completed in a short time.

Further, in the embodiment shown in FIGS. 1 and 5, the still image input control means 2, the image processing procedure guiding means 7, the image processing procedure delivering means 11, the image processing means 8, and the frame image extracting means 18 are provided. The frame image recording control means 19 and the moving image dividing means 21 are assigned to the ROM 4, and the input image recording means 3, the image processing procedure recording means 9 and the processed image recording means 1 are assigned.
3. The frame number management means 22 is assigned to the RAM 5, but the method of assigning each of the above means is not limited to this, and needless to say, may be assigned to an external recording means or the like.

Further, in the embodiment shown in FIG. 1, the image information of the image material whose image quality is to be improved is inputted from the still image input means 1. However, this is not always necessary, and it is an optical disc on which the image information of the image material is recorded. Alternatively, it may be supplied as a CD-ROM disc or the like.

Further, in the embodiment of FIG. 1, when selecting an image quality improvement point of ix or a process of color physics of v, etc., as shown in FIG. Although displayed, it is needless to say that a keyword-like selection branch may be displayed on the display screen and used as an operator's selection branch.

Also, the guidance of vii image processing commands and xi
When inducing the side effect countermeasure command of CL1, CL2,
.., CLN, etc. are displayed to be used for operator's selection and correction of command contents. However, by displaying a figure such as a tongue curve shown in FIG. 6 on the screen of the display means 10. Needless to say, it may be used as an auxiliary use of the image processing command and the side effect countermeasure command.

Further, in the database shown in FIGS. 7 and 8, only three classifications of landscape, person and flower are given as image materials, but as shown in FIG. 13 and FIG. , A large class and a middle class, a large class, a middle class, and a small class, and a key word-providing format as shown in FIG. The formats shown in FIGS. 13 to 15 are better for handling many image materials, but it goes without saying that the present invention does not depend on the classification format of image materials.

Further, in the databases shown in FIGS. 7 and 8, only the information suitable for giving for each image subject is given, but items common to various image subjects are provided,
It goes without saying that it is acceptable to give information to the database, which is more suitable not to be divided for each image subject.

Such information includes countermeasures for defects in image material originals such as exposure under, exposure over, color fog, dust, scratches, usage of complementary colors and similar colors, and warm color and cold color. Consideration for image quality improvement in color distribution, such as usage, consideration for image quality improvement in color tone contrast, such as clearing the foreground and background and blurring the distant view and background, etc. There are considerations such as image quality improvement related to general preference improvement such as dislike and preference for clear gradation.

Further, the data base means 6 is provided with information regarding classification of image materials, information regarding image representation intention, information regarding image quality improvement points, information regarding color physical processing, image processing procedures and side effect countermeasure procedures. Although the information about the image processing command and the side effect countermeasure command and the image information of the still image are registered, it is not always necessary that all of the above information is registered in the database means 6.

For example, information about classification of image material, information about intention of expressing image, information about image quality improvement point, information about color physical processing, image processing procedure and side effect, except information about image processing command and side effect countermeasure command. Information regarding the countermeasure procedure is registered in the database means 6 and the information is stored in the image processing procedure guiding means 7.
When you use, to guide the display, it does not support the input work of image quality improvement commands and side effect countermeasure commands, but it starts from the classification of image material, the estimation of the image representation intention, the setting of image quality improvement points, the selection of color physical processing, It is possible to support each judgment work leading to the selection of the image processing procedure and the side effect countermeasure procedure.

Therefore, according to the present invention, the information about the classification of the image material, the information about the intention of expressing the image, the information about the image quality improving point, the information about the color physical processing, the image except the information about the image processing command and the side effect countermeasure command is displayed. The information about the processing procedure and the side effect countermeasure procedure may be registered in the database means 6.

Since the image processing command and the side effect countermeasure command can be manually input by the operator, the image processing procedure delivery means 11 may be omitted from the configuration shown in FIG.

Further, according to the present invention, the image material is classified, the expression intention of the image is estimated, the image quality improvement point is grasped, the color physical processing is selected, the image processing procedure and the side effect countermeasure procedure. Of the image processing command and the side effect countermeasure command, and grasping the image quality state of the improvement target, in order to support two or more judgment works, the data base means 6 Information about classification of image material, information about image representation intention, information about image quality improvement point, information about color physical processing, information about image processing procedure and side effect countermeasure procedure, information about image processing command and side effect countermeasure command, and It suffices if two or more pieces of information among the image information of the still image are properly associated with each other and registered.

Further, in the embodiment shown in FIG. 5, an optical disk, a digital VTR tape or the like for converting the image information of the moving image into a digital signal and recording it is used as the means for supplying the image material of the moving image to be improved in image quality. The supply means is not limited as long as a means for converting moving image information into a digital signal is used.

In the embodiment shown in FIG. 5, the moving picture reproducing / recording means 17 is composed of a digital VTR deck, a VTR tape and a display.
The number 7 is not limited to these, and may be composed of an MO disk drive device, an MO disk, and the like.

In the embodiment of FIG. 5, the moving picture input image recording means 20 composed of the MO disk drive and the MO disk is used as the moving picture input means, but there is no problem in terms of storage capacity. Another storage medium may be used as the moving image input means, and the moving image input image recording means 20 may be used.
It is also possible to use the input image recording means 3 also without using.
Further, in the embodiment of FIG. 5, the moving image processed image recording means 23 composed of the MO disk drive and the MO disk is used as the frame image output destination of the moving image after the image processing. If there is no problem, the processed image recording unit 13 may be used as the moving image frame image output destination without using the moving image processed image recording unit 23.

In the embodiment of FIG. 5, when a start number, an end number and an increment number are given in (3) and (ii) of FIG. 3, if an end number smaller than the end number of the division number is given,
(4) The automatic image processing performed in (ii) can be stopped at a frame number smaller than the end number of the division number. If a negative number is given as the increment number, (4) (ii)
It is possible to carry out the automatic image processing carried out in step 1 by going back to the frame number.

By doing this, (3) efficiently search for frame numbers (f, g, m, c in FIG. 4) that cause a break in the application range of the image processing command created or modified in (i). You can Therefore, it goes without saying that any value may be given as the start number, the end number, and the increment number, if necessary.

In the embodiment shown in FIG. 5, the frame number is used as the file name of the frame image sent to the moving image input image recording means 20 via the frame image extracting means 18. Of course, the file name of the frame image is not limited to the number.

In the embodiment shown in FIG. 5, the frame image sent to the moving image input image recording means 20 via the frame image extracting means 18 is given a file name. It is a matter of course that the frame signal is not limited to the one attached to each frame as long as it is for extracting the image signal and has a function of the identification index, and it may be a header or the like.

If it is not necessary to accurately extract the frame image signal in frame units and perform image processing, a means for temporally dividing a moving image without adding an identification index such as a number is provided. It goes without saying that image processing may be performed for each unit that is temporally divided.

In the embodiment of FIG. 5, the image processing is performed for the frames between the discrete frame numbers given by the increment numbers in the image quality improving step (6) of FIG.
In the image quality improving step (6), image processing may be executed in frame order for all frames of the moving image. By doing so, the image processing time required in the image quality improvement step (6) increases, but if the image processing results performed in (6) are recorded in the moving image processing image recording means 23 in the order of execution, the moving image after the image quality improvement is performed as it is. The whole is completed. Therefore, (3) or (4) and (6)
The frame image recording control means 19 required in the steps (7) and (7) of combining the image processing results in the order of frame numbers may be omitted.

[0206]

As described above in detail, according to the present invention, the operator starts from the classification of the image material, the estimation of the intention of expressing the image, the setting of the image quality improvement point, the color physical processing selection, and the image processing. It is easy to guide a selection branch that is highly likely to be appropriate for each of the procedure selection, the image processing command selection, the side effect countermeasure procedure setting, and the side effect countermeasure command selection, and make the most appropriate selection among them. You can

It is highly possible that the operator is appropriate for each of the classification of the image material, the image representation intention, the image quality improvement point, the color physical processing, the image processing procedure, the side effect countermeasure procedure, and the command selection. Since it is possible to perform the image quality improvement processing work by using the image processing command or the side effect countermeasure command, it is possible to reduce the burden of input work of the image processing command and the side effect countermeasure command and reduce trial and error.

Further, the worker can carry out the work while grasping the image quality state of the improvement target in the course of the image processing work or when judging the image processing result. In this way, according to the present invention, the operator can easily perform the image quality improvement processing that is highly likely to be appropriate for the given image material.

Further, in image processing of a moving image, since the frame image is taken out from the frame image of the moving image by using the frame image extracting means 18, the moving image is divided and each frame is divided. As shown in FIG. 10 and FIG. 11, handling of a moving image such as defining the application range of an image processing command can be performed easily and accurately in frame units.

Further, in the image processing command creation work of (3) of FIG. 3, the image processing execution of (4) and (ii), and the result judgment work of (5), they are targets of work and processing. Since the frame images are continuously provided, the same type of work or processing can be performed continuously and efficiently.

Further, in the steps (2) to (5) of FIG. 3 for creating the image processing command, the frame numbers to be the target of the image processing executed in (4) and (ii) are given in random numbers. Thus, the number of frames targeted for image processing can be reduced. For this reason, it is possible to reduce the waiting time of the processing calculation that occurs during the image processing execution of (4) and (ii) while the image processing commands (2) to (5) are being created.

Further, since the image processing of (4) and (ii) can be performed collectively for all of the divided parts, (2)-
The number of work interruptions occurring in the middle of the image processing command creating step (5) is small.

Further, the frame range and increment number to which the image processing command is applied are given by frame numbers and managed as shown in FIG. Nevertheless, fully automatic image processing can be easily executed in (4) and (ii) of FIG.

Then, in the image processing command creation process of (2) to (5) in FIG. 3, targeting is a discrete frame number, which is a very small number of frames when viewed from the frame number of the entire moving image. The fully automatic image processing is performed (4) in FIG.
While performing in (ii), the image processing command necessary for image processing of the entire moving image performed in (6) and (ii) is created, so that the image processing command required for image processing of the entire moving image can be efficiently created.

Further, by managing the applied frame range and the applied object of the image processing command by the frame number as shown in FIG. 11 and FIG. 12, it is possible to carry out in (6) (ii) of FIG. ,
The number of frames that occupy most of the whole moving image can be batched, and image processing can be executed sequentially and continuously, and at the same time, the applicable range of image processing commands can be accurately managed in frame units. , It is possible to raise the standard of video quality improvement.

Furthermore, in (6) (ii) and (4) (ii), when executing image processing, in (6) (i) and (4) (i),
Since the image processing command generated by the frame number management means 22 can be used, (6) (ii) and (4) (i)
In i), image processing can be performed by fully automatic processing.

In (7), the frame after the image quality is improved.
It is possible to easily combine the entire frame images automatically in the frame number order to complete the entire moving image after the image quality improvement.

As described above, according to the present invention, the work of improving the image quality of a moving image can be efficiently performed with high quality.

[Brief description of drawings]

FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention.

FIG. 2 is a diagram showing a process flow of still image quality improvement work and a transition of screen display according to the present invention.

FIG. 3 is a diagram showing an image quality improvement processing flow of a moving image according to the present invention.

FIG. 4 is a diagram showing a relationship between an application range of an image processing command and a frame in one divided portion of a moving image.

FIG. 5 is a block diagram showing the configuration of an embodiment for improving the image quality of a moving image.

FIG. 6 is a tongue curve diagram.

FIG. 7 is a diagram showing a data base (No. 1).

FIG. 8 is a diagram showing a data base (No. 2).

FIG. 9 is a diagram showing a relationship between an image processing command and a frame to be processed.

FIG. 10 is a diagram showing a frame range management list of divided parts.

FIG. 11 is a diagram showing an application range management list of image processing commands.

FIG. 12 is a diagram showing a judgment management list of image processing results.

FIG. 13 is a diagram showing a classification example (No. 2) of image materials.

FIG. 14 is a diagram showing a classification example (No. 3) of image materials.

FIG. 15 is a diagram showing a classification example (No. 4) of image material.

[Explanation of symbols]

 1 Still Image Input Means 2 Still Image Input Control Means 3 Input Image Recording Means 4 ROM 5 RAM 6 Data Base Means 7 Image Processing Procedure Guidance Means 8 Image Processing Means 9 Image Processing Procedure Recording Means 10 Display Means 11 Image Processing Procedures Handover means 12 Command input means 13 Processed image recording means 14 Computer 15 CPU 16 OS 17 Moving image reproducing / recording means 18 Frame image extracting means 19 Frame image recording control means 20 Input image recording means for moving images 21 Moving image dividing means 22 frame number managing means 23 processed image recording means for moving image

Claims (9)

[Claims] 1. Information regarding classification of image material, information regarding image representation intention, information regarding image quality improvement points,
Various information including information on color physical processing, information on image processing procedure or side effect countermeasure procedure, information on image processing command or side effect countermeasure command, and image information of still image is registered in association with each other. An information processing means, a display means for displaying various information including image information, and an image processing procedure guiding means for guiding the various information from the database means and displaying it on the display means. An image processing means for performing image processing for evaluating or improving the image quality, guiding various information by the image processing procedure guiding means, and selecting an appropriate one from various information by the operator In cooperation with the above, various information registered in the database means is guided to support image quality improvement processing work for either or both of a still image and a moving image. An image processing apparatus characterized by the following. 2. Information relating to classification of image material, information relating to image representation intention, information relating to image quality improvement points,
Various information including information on color physical processing, information on image processing procedures and side effect countermeasure procedures, information on image processing commands and side effect countermeasure commands, and image information of still images are registered in association with each other. A database for image processing characterized in that 3. The image processing apparatus according to claim 1, wherein each of the various kinds of information has a plurality of options, and at least two or more kinds of the various kinds of information are guided. 4. The image processing command or side effect countermeasure command according to claim 1, further comprising an image processing procedure passing means for delivering the image processing command information or side effect countermeasure command information to the image processing means. Alternatively, the image processing apparatus is characterized by executing all of them. 5. The frame according to claim 1, 3 or 4, wherein a frame number is attached to a frame image of a moving image, or frame images are continuously taken out at arbitrary frame number intervals. An image processing apparatus comprising a frame image extracting means, and delivering the extracted frame image to the image processing means. 6. The division unit of a moving image or a frame range to which an image processing command is applied is recorded based on an identification index including a frame number, or an image processing result is recorded for each frame. An image processing apparatus comprising frame number management means for recording a judgment index. 7. The frame image signal is read from the moving image processing image recording means recorded in an arbitrary image processing execution order according to claim 5, and the frame images are recorded in the order of frame numbers. An image processing apparatus comprising: a frame image recording control means for correcting. 8. The correction according to claim 5, further comprising extraction means for detecting a hue, saturation or lightness from the frame image to extract a region of interest in the image, An image processing apparatus characterized by automating the specification of a range of a part. 9. An image processing apparatus according to claim 5, 6, 7 or 8, wherein the step of improving the image quality of a moving image is performed by adding an identification index including a frame number to a frame image of the moving image. A step of creating an image processing command by targeting frame images at every frame number interval, and using the image processing command, a frame image between discrete frame numbers or image quality improvement A method for improving the image quality of a moving image, comprising the steps of collectively and sequentially performing image processing on all frame images of the target moving image.