JP2006157365A - Image forming method and image forming apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image forming method and an image forming apparatus capable of appealing a fact of execution of high quality image processing such as red-eye correction to a requester of print forming and allowing the requester to recognize the execution. <P>SOLUTION: The task above is solved by outputting a reference image as an image properly selected from one order item to which no high quality image processing is applied together with a product image resulting from applying high quality image processing to the selected image, and outputting the reference image continuously with respect to the product image. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  In the technical field of image formation for outputting photographic prints and the like, the present invention outputs to a customer who ordered photographic prints or the like when performing high-quality image processing such as red-eye correction processing and outputting images. The present invention relates to an image forming method and an image forming apparatus that make it possible to recognize that an image has been subjected to high-quality image processing.

In recent years, an image recorded on a film is photoelectrically read, the read image is converted into a digital signal, and then subjected to various image processing to obtain image data for recording. By recording light modulated in accordance with the image data, Digital photo printers that expose photosensitive materials and output them as prints have been put into practical use.
In a digital photo printer, an image photographed on a film is photoelectrically read, and the image is processed as digital image data to perform image processing or exposure of a photosensitive material. Therefore, a print can be created not only from an image shot on a film but also from an image (image data) shot by a digital camera or the like.

As described above, since the digital photo printer handles images as digital image data, image processing (image correction and adjustment) can be performed by processing the image data.
Therefore, compared to conventional analog exposure printers (printers that expose photosensitive materials (printing paper) with the projection light of the film), the color / density correction, gradation correction, saturation correction, and sharpness are much more flexible. Image processing such as processing, dodging processing (adding a dodging effect by adjusting the dynamic range of the image while maintaining intermediate gradation), such as overexposure, underexposure, backlight scene, high contrast scene, etc. Even if it exists, it is possible to stably reproduce high-quality images.

  Furthermore, for digital photo printers, red-eye correction (correction of red-eye phenomenon caused by flash photography), peripheral light reduction correction (correction of density unevenness due to peripheral light reduction of the taking lens), aberration correction (distortion due to aberration of the taking lens) ) And scratch removal processing (correction of defective pixels due to scratches on the film or taking lens, attached dust, etc.), printers with analog exposure require very advanced technology from the operator, or are extremely difficult or practical. Image processing that is impossible in particular can be performed by processing image data.

By performing the color / density correction, gradation correction, saturation correction, sharpness processing, and dodging processing, a sufficiently high quality image can be obtained in terms of photographic image quality. That is, a print as a product can be finished by performing only these image processes.
On the other hand, red-eye correction, peripheral light reduction correction, aberration correction, scratch-removal processing, and the like are processes for correcting image defects, which are different from so-called photographic image quality.
Here, each image processing such as color / density correction can set image processing conditions and the like by analyzing low-resolution image data such as so-called pre-scan data and thinned images, and the amount of calculation. Therefore, the processing can be performed in a relatively short time. On the other hand, red-eye correction and scratch removal processing require analysis with high-resolution image data corresponding to the output, and also require a complicated and large amount of computation. In addition, aberration correction and peripheral dimming correction also require information corresponding to the taking lens, and require a complicated and large amount of computation.

  In other words, red-eye correction and peripheral light reduction correction can be said to be high-quality image processing compared to normal image processing that corrects color, density, gradation, etc. to finish a proper image. By performing these processes, the advantages of digital exposure can be fully exerted, and high-quality prints corrected for so-called image-like defects can be output. It takes time and requires an advanced system.

However, customers (photographers who create photo prints) appreciate the finished prints, and even if high-quality image processing such as red-eye correction is performed, the customer usually performs these high-quality image processing. There is no knowledge of what has been done or its effect.
Therefore, even if processing time is taken and high-quality processing is performed using an advanced image processing system, and a higher quality image than a general lab system or processing system is finished, it is appealed to the customer. It is very difficult to get an evaluation.

  As a method for solving such a problem, Patent Document 1 discloses that an image is selected from one item ordered by a customer, and this image is digitally enhanced (qualitative improvement / enhancement). A printing method is disclosed that outputs a print that reproduces an image that has been reproduced and a print that reproduces an image that has not been enhanced.

JP 2003-205660 A

According to this method, it is possible to have a customer recognize and evaluate that a print in which a high-quality image is reproduced by image processing is output.
However, with this printing method, the effects of high-quality processing such as red-eye correction, scratch cancellation processing, peripheral light reduction correction, and aberration correction cannot be sufficiently exhibited, and an image without enhancement is efficiently output. I can't do that either.

  An object of the present invention is to solve the above-described problems of the prior art, and to high-quality images that are taken on a photographic film or taken with a digital camera or the like, such as red-eye correction, which requires time and effort. An image forming method that, when performing image processing and outputting an image, can reliably appeal to the customer who ordered the image, etc., that the image has been output by performing high-quality image processing, Another object of the present invention is to provide an image forming apparatus that performs this image forming method.

  In order to achieve the above object, the image forming method of the present invention performs first image processing and second image processing on one entire image composed of a plurality of optically photographed images, A product image that is output as a product image, and for one or more target images selected from the one case, an unprocessed image that has undergone only the first image processing is also output, and a product that corresponds to the unprocessed image An image provides a method of forming an image, wherein the image is output continuously in the one case.

  In such an image forming method of the present invention, at least a target image of the one image is subjected to the first image processing, and then the first image processing is performed separately from the second image processing. It is preferable that the image subjected only to the image processing is stored in a predetermined storage unit, and the target image is read from the storage unit and output in accordance with the progress of the second image processing in the one case, or At least the target image of the one image stores an unprocessed image in a predetermined storage unit separately from the execution of the first image processing and the second image processing. It is preferable that the target image is read from the storage unit according to the progress of the first image processing and the second image processing, and is output after the first image processing is performed.

  In addition, the image forming apparatus of the present invention includes a unit that acquires an image for each item including a plurality of optically photographed images, and a process that performs first image processing and second image processing on the acquired image. A selection means for selecting one or more images as target images from the one case, and an array means for outputting the images in a predetermined order, and the processing means includes the selection For the image selected by the means, a product image subjected to the first image processing and the second image processing and an unprocessed image subjected to only the first image processing are formed. An image forming apparatus is provided in which the output order of images is set so that the unprocessed image and the corresponding product image are continuously output in the one case.

  In such an image forming apparatus of the present invention, the image forming apparatus includes a storage unit that stores an image, and at least a target image of the one image is subjected to the first image processing and then the second image. Separately from the execution of the processing, an image subjected to only the first image processing is stored in the storage means, and the target image is stored from the storage means according to the progress of the second image processing in the one case. It is preferable to read and output, or it has a storage means for storing an image, and at least the target image of the one image is separated from the execution of the first image processing and the second image processing. , Storing an unprocessed image in the storage unit, reading the target image from the storage unit in accordance with the progress of the first image processing and the second image processing in the one case, Output after image processing It is preferable to that.

Further, in the image forming method and the image forming apparatus of the present invention, the first image processing is image processing for completing an image, and the second image processing corrects an image defect. And the second image processing analyzes the information related to the image and, as a result, detects the image defect only when it is detected to have the image defect. Preferably, the image processing is to be corrected, and the first image processing is image enlargement or reduction, gradation correction, color / density correction, saturation correction, sharpness processing, and dodging processing, It is preferable that the second image processing is at least one of red-eye correction, image defect correction, aberration correction caused by the photographing lens, and peripheral light reduction correction caused by the photographing lens.
Preferably, the product images are output in the order corresponding to the image numbers in the one case, and the unprocessed image is output immediately before or immediately after the corresponding product image, or the unprocessed image and The corresponding product image is preferably output at the beginning or end of the one case.
Further, it is preferable to reproduce and output the product print obtained by reproducing the product image and the reference print obtained by reproducing the unprocessed image on the same type of recording medium using the same image recording method. The recording medium is preferably photographic paper. Further, the reference print is preferably different in print size from the product print, and the first image processing and the first print on one side of one hard copy. It is also preferable to reproduce an image that has been subjected to the second image processing, and to reproduce an image that has been subjected only to the first processing on the other side. Further, when outputting the product image as image data, the image data including the unprocessed image is output, and the image data including the unprocessed image is different from the image data including the product image in data size and header. It is preferred that at least one of the information is different.

By having the above-described configuration, the present invention is caused by red-eye correction, correction of image (pixel) defect due to dust and film or lens scratches attached to the film or lens, and aberration of the lens that captured the image. When image output is performed with high-quality image processing that takes time and effort, such as correction of image distortion and correction of decrease in peripheral density due to peripheral light reduction of the lens that took the image, print creation and image file The customer who has requested the creation can recognize that the image has been output by performing such high-quality image processing.
Therefore, by using the present invention, high quality processing and work such as red-eye correction are surely appealed to and recognized by the customer, and high added value and high quality processing of the image (product) are achieved. Differentiation from images that are not performed, differentiation from other stores in a lab store, maintenance of prices for other stores, acquisition and securing of customers, and the like can be achieved.

  Hereinafter, an image forming method and an image forming apparatus of the present invention will be described in detail based on preferred embodiments shown in the accompanying drawings.

FIG. 1 is a flowchart showing an example of an image forming method according to the present invention.
FIG. 1 shows an example of a processing flow when the image forming method of the present invention is carried out with the above-described digital photo printer.

  The digital photo printer includes an input device 10 that acquires an image (image data) and outputs the image (image data), and an output device 12 that outputs a print reproducing the output image. It is what is done. The input device 10 is an example of an image forming apparatus of the present invention.

As an example, the input device 10 photoelectrically reads an image photographed on a photographic film by a scanner to obtain an image (image data), and / or an imaging device such as a digital camera or a mobile phone with a photographing function, SmartMedia ^TM and PC card ^TM like storage medium that stores an image captured by the imaging device, various kinds of communication network or the like of a personal computer or a print order receiving terminal or the like is connected, an image captured by the imaging device ( Image data).
The input device 10 that has acquired the image displays the verification image (finished simulation image) on the display for verification, and after the verification is completed, it performs necessary image processing (basic processing and high-quality processing described later). The image is output to the output device 12 as an output image (image data). Note that the verification may not be performed, and the input device 10 does not necessarily have a verification function.

  That is, even if the input device 10 has a function corresponding only to image formation from photographic film, it corresponds only to image formation obtained by acquiring an image (that is, image data) taken by a digital camera or the like. Even if it has a function, it may have both functions. The digital photo printer may be configured by connecting a plurality of input devices 10 and one or more output devices 12.

The output device 12 that has received the output image from the input device 10, for example, pulls out the photographic paper (photosensitive material) wound in a roll shape, cuts it according to the print size, and then transports the photographic paper, The recording light (for example, laser light) modulated according to the image supplied from the input device 10 is two-dimensionally scanned and exposed to form a latent image, and the exposed photographic paper is subjected to a predetermined wet process. , Dried, output as (finished) photo prints, sorted by item.
Alternatively, the input device 10 changes the output image to the output device 12 or, in addition to outputting the image to the output device, collects the output images one by one and records them in a storage medium, And / or output to an external device via a communication network or the like.

  The present invention provides a promotion image (reference image) for prosecuting the effect of high-quality processing from among one image in the output of one image for performing image processing (basic processing and high-quality processing) as described above. One or more images (frames) to be promoted are selected as promotion target images, and the selected promotion target images are subjected to high quality processing together with output images (product images) subjected to basic processing and high quality processing. A promotion image with only basic processing is also formed and output.

The basic processing (first image processing) is a basic processing performed to output an image having an appropriate color / density (tone reproduction, color reproduction), image structure (sharpness, graininess), and the like. Image processing. By performing this basic processing, the image is completed in terms of photographic image quality, and becomes a completed image corresponding to image output such as normal print output without high-quality processing. In the illustrated example, as an example, enlargement or reduction of an image (electronic scaling process), gradation correction, color / density correction, saturation correction, sharpness processing, and dodging processing (maintaining the intermediate gradation of the image) , Compression or expansion of the image density dynamic range).
On the other hand, high-quality processing (second image processing) is image processing for correcting only an image having a defect in order to correct an image defect. More preferably, it is image processing for correcting only an image detected to have a defect as a result of analyzing information on the image. Specifically, red-eye correction (red-eye correction) caused by flash photography, foreign matter adhering to photographic film or taking lens, and image (pixel) defect caused by scratches on photographic film or taking lens (scratching process) ), Correction of image distortion caused by aberration of the photographing lens (lens aberration correction), and correction of lowering of peripheral density caused by peripheral light reduction of the photographing lens (peripheral light reduction correction).

In the present invention, the information relating to the image is the image (image data) itself and image photographing information.
The shooting information specifically refers to the presence or absence of flash emission at the time of shooting, the information of the camera (lens) that shot the image, the information of the photographic film that shot the image, the information of the aperture at the time of shooting, the shutter speed, etc. Information etc. are illustrated. Shooting information may be acquired from magnetic information recorded on a film if the image is formed from an APS film, for example, and acquired from information recorded in an image file if the image is captured by a digital camera or the like. do it.

In the following, an example of image formation according to the present invention shown in FIG. 1A will be described by taking as an example the case where red-eye correction is performed as high-quality processing.
Further, in the following description, for convenience, an image that has undergone both basic processing and high-quality processing (including a case in which only analysis of information about the image is performed and no correction is performed) An image that has been processed only is set as an unprocessed image, and a print obtained by reproducing a promotion image formed from the unprocessed image is set as a promotion print.

FIG. 1A shows an example of selecting a promotion target image (manual selection of a promotion image) in accordance with an input instruction from an operator.
In the example shown in FIG. 1, when the input device 10 acquires one image (image data) as described above (or during acquisition of one image), the input device 10 displays the test image on the display. , Let the operator perform the test. The test image is subjected to image processing according to basic processing. In addition, the image processing conditions of the basic process are set by analyzing the original image of the test image as an example. When color / density adjustment is performed by the test, the image of the basic process is Processing conditions are also changed.
In the illustrated example, the test image may be displayed in the same manner as a normal digital photo printer. In other words, when an image is acquired by reading a film with a scanner, it is performed with an image (pre-scan data) obtained by pre-scanning, which is performed prior to fine scanning, which is image reading for output, and with a digital camera or the like. In the case of a photographed image, the acquired image may be thinned (or reduced).

In the illustrated digital photo printer (the image forming apparatus of the present invention), the verification is not an essential operation, and an image may be output without performing the verification. In addition, the operation mode is normally a verification performed. A mode and an automatic mode in which no verification is performed may be set, and either one may be selected and an image output.
Further, when the film is read by the scanner, the fine scan may be performed after the completion of the test, or may be performed continuously following the pre-scan.

  In the illustrated example, the test screen also serves as a selection screen for the image to be promoted, and is promoted by the operator using a known means such as GUI (Graphical User Interface) (the same applies to other selections to be performed below). The target image is input. In response to this, the input device 10 selects the instructed image as the promotion target image. The promotion target image may be selected (input instruction) by one frame or a plurality of frames. Note that the operator may select the promotion target image using, for example, a selection criterion for automatic selection described later.

  In the case where the promotion target image is not selected in one case, the promotion print output (promotion image creation) is not performed in this case. When the test is not performed, an image (preferably an image similar to the test image) is displayed for selection of the promotion target image.

When the test is finished, basic processing is sequentially performed on the image of each frame. This image is an image corresponding to the output, and is a fine scan image (fine scan data) if a print is made from photographic film, and a captured image (photographed image data) if the image is from a digital camera or the like. is there.
In the illustrated example, as described above, enlargement or reduction (electronic scaling processing), gradation correction, color / density correction, saturation correction, sharpness processing, and dodging processing are performed as basic processing.
Any of these image processing may be performed by a known method.

Next, red-eye correction (high quality processing) is sequentially performed on the image subjected to the basic processing. In addition, the image selected as the promotion target image also sends an unprocessed image (an image subjected to only basic processing) to the storage means and stores it in parallel with the red-eye correction.
It should be noted that at this point in time, since the shooting information can be acquired and the image obtained from the analysis result of the shooting information can be found not to be flash photography, the image cannot be subjected to red-eye correction. The processed image is subjected to basic processing and red-eye correction (high quality processing).

There are no particular limitations on the red-eye correction method, and various known methods can be used. The following method is illustrated as a suitable example.
In this red-eye correction, first, a red-eye candidate (a region that may be red-eye) is detected from an image for which basic processing has been completed, and position information (center coordinate position information), region information, and number of red-eye candidates are detected. Get information and more.
Therefore, an image in which no red-eye candidate is detected by the detection of the red-eye candidate is regarded as a non-red-eye image in which no red-eye is generated, and the red-eye correction is finished at this point, and the basic processing and the red-eye are performed without correcting the image. It is assumed that the processed image has been corrected.

  As an example, if a person is photographed in a scene having three red lamps in the background as shown in FIG. 2 and an image (scene) in which this person has a red-eye phenomenon, a, b, And c, and regions indicated by d and e corresponding to red eyes are detected as red eye candidates.

There are no particular limitations on the method for detecting a red-eye candidate, and various known methods can be used.
As an example, using a red-eye color information (red-eye is red) and shape information (red-eye is round), a circular region having a red hue and a predetermined number of pixels or more is extracted, and a large number of red-eye images are obtained in advance. Use the red eye degree (how much red-eye color) and circularity (how round it is) set from the sample, and the area where the red eye degree and circularity exceed the threshold values as red eye candidates that may be red eyes The method of detecting is illustrated.

Next, using the detection result of the red eye candidate (for example, the position information), face detection is performed in a peripheral region including the detected red eye candidate.
For example, in the example illustrated in FIG. 3, face detection is sequentially performed in a predetermined region including each red-eye candidate corresponding to each of the red-eye candidates a, b, c, d, and e. Therefore, for example, a region surrounded by a dotted line is detected as the face region, and information that the red-eye candidates d and e are red-eye candidates included in the face region, or information on the detected face region is obtained.

The face detection method is not particularly limited, and various known methods can be used.
As a preferred example, a method of performing face detection by template matching using an average face image so-called face template (hereinafter referred to as a face template) created in advance from a large number of face image samples is performed.
In this method, as an example, a face template (or target image) is displayed on the top and bottom as shown in FIG. 3A according to the orientation of the camera at the time of shooting such as vertical position (vertical shooting) / horizontal position (horizontal shooting). And in the left-right direction (0 ° → 90 ° → 180 ° → 270 ° rotation on the image plane) to change the face direction, and according to the size (resolution) of the face in the image, FIG. ), The face size of the face template (same as above) is changed (enlargement / reduction = resolution conversion), a face template of a combination of various face orientations and face sizes, a face candidate area in the image, The face detection is performed by sequentially performing matching (confirmation of matching).
Instead of rotating and enlarging / reducing the face template, a rotated face template or an enlarged / reduced face template may be created in advance, and matching may be performed using the template. Further, the face candidate area may be detected by means such as skin color extraction or contour extraction.

Note that the method for detecting wrinkles is not limited to this template matching method.
For example, face detection using a learning method is also preferably exemplified. In this method, a large number of facial images and non-facial images are prepared, the respective feature amounts are extracted, and a face or non-face is separated from the result using an appropriately selected learning method. Perform prior learning to calculate functions and thresholds. When performing face detection, the feature amount is extracted from the target image in the same manner as in the pre-learning, and it is determined whether it is a face or a non-face using the function and threshold obtained in the pre-learning, It is also preferable to detect wrinkles by a learning method that performs face detection.
Furthermore, face detection by shape recognition by edge (contour) extraction and edge direction extraction disclosed in JP-A-8-184925 and JP-A-9-138471, face by color extraction such as skin color extraction or black extraction Various methods exemplified as face detection methods other than matching using face templates in Patent Documents 1 to 3 described above can also be used.

In this way, using the detection result of the red-eye candidate and the information of the red-eye candidate whose face has been detected, the red-eye candidate whose face can be detected around is identified as a red-eye.
Therefore, after performing eyelid detection, images for which eyelids cannot be detected around all red eye candidates are regarded as non-red eye images, and red eye correction is terminated at this point, and basic processing and red eye are not performed without image correction. It is assumed that the processed image has been corrected.

When the red eye is specified in this manner, the specified red eye region is subjected to image processing, red eye correction is performed, and a processed image having undergone basic processing and red eye correction is obtained.
There are no particular limitations on the red-eye correction method, and various known methods can be used. For example, processing to correct red-eye by controlling the saturation, brightness, hue, etc. of the red-eye area according to the image features such as red-eye and the surroundings of the red-eye (may include the periphery of the face), or simply the color of the red-eye area The correction process etc. which convert black into black are illustrated.

In this way, the red-eye candidate detection is performed first, then the face detection is performed only around the detected red-eye candidate, and the red-eye candidate whose face can be detected in the vicinity is identified as the red-eye, thereby reducing the time for red-eye detection. It can be greatly shortened.
That is, as described above, red-eye detection including face detection is a time-consuming process, but in conventional red-eye detection, after face detection, red-eye detection is performed within the detected face area. Therefore, face detection is performed even in a region where no red eye exists, and as a result, it takes a very long time to detect the face. On the other hand, after detecting a red eye candidate in this way, by performing face detection only in a predetermined region including the red eye candidate, there is no useless face detection in a region where no red eye exists, and in red eye detection, The time required for face detection can be greatly reduced.

The red-eye correction method (red-eye correction algorithm) is not limited to this method, and a normal red-eye correction method in which red-eye detection is performed after eyelid detection is performed can be used. All correction methods are available.
Further, the same red-eye correction method is performed in all the apparatuses, and the red-eye correction method may be executed in one or more apparatuses or in all apparatuses.

  The processed image that has been subjected to the red-eye correction in this way is sequentially supplied to the output order process as an image (product image) to be reproduced on the product print (finished photo print).

  On the other hand, the promotion target image stored in the storage means is read at a predetermined timing and supplied to a promotion process for forming a promotion print image.

In the promotion print, the promotion print image is formed so that the unprocessed image of the promotion target image is reproduced as it is as the promotion image, and the promotion image (unprocessed image) is reproduced just like the processed image of the product print. It may be a print. Therefore, in this case, in the promotion process, the promotion image is supplied to the output order process without performing any process.
However, preferably, the unprocessed image is reduced to form a promotion image to provide a margin in the print, or the unprocessed image is used as it is as a promotion image and the print size is made larger than the product print. It is preferable to create a promotion print image so that a margin is provided in the image, and a comment that allows the customer to recognize that red-eye correction has been performed is added to the blank image in addition to the promotion image.

The content of the comment is not particularly limited. As an example, a comment that red-eye correction has been performed on this image, information on other frames (images) that have undergone red-eye correction, an appeal of the effect of red-eye correction (high-quality processing), and advertisements for stores such as lab stores Examples include digital photo printers and manufacturer advertisements, photography advice, discount tickets, camera advertisements, sightseeing / excursion information, and comments that combine these.
Further, it is preferable to set a plurality of comment contents in advance so that they can be selected, and it is also preferable to be able to set them arbitrarily. Furthermore, it is preferable that the comment entry position, font, character size, color, and the like can be arbitrarily selected and set.

Here, in the present invention, the size of the promotion print is preferably larger than that of the product print, or preferably smaller than that of the product print, and an image of the promotion print is formed correspondingly. preferable. Also, when outputting the image data as a product, it is preferable to change the image size between the product image and the image including the promotion image, or different header information may be attached instead of the image size, Alternatively, both the image size and the header information may be changed.
By making the promotional print different in size from the product print, the presence of the promotional print can be more suitably appealed. Increasing the size of the promotional print than the product print is advantageous in terms of appealing the presence of the promotional print. Conversely, reducing the size of the promotional print suppresses the cost increase by reducing the consumption of photographic paper. (Normally, the promotion print is considered to be output by the service).
Also, the size of the promotional print may be the same size as the product print, a smaller size than the product print, and a larger size than the product print so that it can be selected. You may be able to do it.

  Further, not only the promotion print, but also a product print corresponding to the promotion print (that is, a product print obtained by reproducing the processed image of the same image as the promotion image reproduced in the promotion print) as necessary. It is good also as a print of the size different from a print.

When changing the size of a promotional print or even a product print to a normal product print, only the size in the longitudinal direction may be changed, or only the size in the short direction may be changed. You may change the size of.
Here, in consideration of outputting as a print, it is preferable to change the size of the roll-shaped photographic paper loaded in the output machine 12 in the longitudinal direction. Preferably, an image or a corresponding product print image is formed. In order to change the print size in a direction different from the longitudinal direction, it is necessary to load photographic papers having different widths (sizes), and the output device 12 can load photographic papers having a plurality of types of widths. However, in order to supply photographic paper having different widths in one case, complicated control and operation are required, which is not preferable.

Promotion print images formed by the promotion process are also supplied to the output order process. In addition, as described above, processed images reproduced for product printing are also sequentially supplied to the output order processing.
In the output order process, images are arranged in a predetermined print output order and output to the output device 12.

In addition to product prints that have been reprocessed processed images that have undergone basic processing and red-eye correction (high-definition processing), as described later, promotions that reproduce promotional images formed from unprocessed images to prosecute the effects of high-quality processing In the present invention for outputting a print, a promotion print and a product print corresponding to the promotion print are continuously output.
Corresponding to this, in the output order processing, the processed image and the image of the promotion print are rearranged in a predetermined print output order in which the promotion print and the corresponding product print are continuously output in one case. The image is output to the output device 12.

Other than the above conditions, the print output order is not particularly limited.
Here, the product prints are usually output in the order of frame numbers (file number or folder number). Therefore, as an example, a method of outputting product prints in the order of frame numbers and outputting (inserting) a promotion print immediately before or immediately after the corresponding product print is exemplified. For example, as shown in FIG. 4A, when the fourth frame image is used as a promotion print, the first frame to the third frame sequentially output product prints, and then the fourth frame. After outputting the promotion print, the product print is output, and after the fifth frame, the images are arranged so that the product print is sequentially output according to the frame number.
Or, conversely, as shown in FIG. 4B, in the fourth frame in which the promotion print is created, images are arranged so that the product print is output first and then the promotion print is output. Also good.

Further, the promotion print and the corresponding product print may be output at the beginning or end of one item.
Similarly, when the image of the fourth frame is set as the promotion print, as shown in FIG. 5A, first, the promotion print of the fourth frame and then the product print of the fourth frame are output. Thereafter, images are arranged so that product prints are output in order of frame numbers (except for the fourth frame) in order from the first frame.
Alternatively, as shown in FIG. 5B, from the first frame, product prints are output in order of frame numbers (except for the fourth frame), and the last frame (24th frame in the illustrated example) is printed. Next, the image may be arranged so that the promotion print of the fourth frame and the product print of the fourth frame are output.

As described above, when the promotion print and the corresponding product print are output at the beginning or end of one item, the output order of the promotion print and the product print is not particularly limited. In contrast to FIG. A print may be output and then a promotional print may be output.
In the example shown in FIG. 5, the product print corresponding to the promotion print (the product print of the fourth frame in the illustrated example) is not output among the product prints output in the order of the frame numbers. The product print corresponding to the promotion print may be output among the product prints output in the order of the frame numbers. Therefore, in this case, two prints reproducing the same image are output.

  In the present invention, the output order of the promotion prints may be fixed, or a plurality of output orders may be set and appropriately selected.

The output machine 12 supplied with the processed image and the promotional print image from the input machine 10 draws out the photographic paper wound in a roll shape and cuts it according to the print size, as described above. While the photographic paper is conveyed in a predetermined direction (sub-scanning direction), the photographic paper is exposed with recording light modulated according to the image supplied from the input device 10 to form a latent image, and then developed and dried. The product prints and promotional prints that reproduce only the processed images are sorted and output one by one.
Here, when the size of the promotion print or the corresponding product print is changed to a normal product print, it is preferable to change the size in the longitudinal direction of the photographic paper wound in a roll shape. In this case, the output machine 12 changes the cut-out length of the photographic paper from the roll according to the size of the promotion print or the corresponding product print.

  In addition, the input device 10 outputs the processed image and the promotion print image arranged in a predetermined order instead of outputting the processed image and the promotion print image arranged in a predetermined order to the output device 12. In addition to the output to the machine 12, processed images and promotional print images arranged in a predetermined order are collected one by one, recorded on a storage medium, and / or output to an external device via a communication network or the like. To do.

In the illustrated example, the input device 10 arranges such processed images and promotional print images in a predetermined order.
However, the present invention is not limited to this, and when the output becomes possible, the input device 10 sequentially supplies the processed image and the promotion print image to the output device 12. A similar image arrangement may be performed to output a print.

As is apparent from the above description, according to the image forming apparatus of the present invention, in image formation for performing high-quality processing such as red-eye correction, scratch cancellation, lens aberration correction, peripheral light reduction correction, etc., one film, a recording medium, etc. It takes a lot of time and effort to select an image from one related image, such as an order from 1), and output a high-quality processed product image and a basic processed promotional image. The implementation of the high-quality processing and the effect can be surely appealed and recognized to the customer who is requested to create the print. In addition, since the promotion image and the processed image are output continuously, the presence and effect of the promotion image can be surely appealed to the customer.
Therefore, according to the present invention, high added value such as printing, differentiation from images not subjected to high quality processing, differentiation from other stores in lab stores, etc., price maintenance for other stores, acquisition and securing of customers Etc.

In the example shown in FIG. 1A, the promotion target image is selected in accordance with an input instruction from an operator or the like. However, the present invention is not limited to this, and the selection of the promotion target image is performed using information about the image, That is, the apparatus may automatically perform the analysis by analyzing the image (image data) and the shooting information (automatic selection of the promotion target image).
Hereinafter, an example will be described with reference to FIG.

  In this example, except for not selecting a promotion target image at the time of verification, acquisition of one image, display / verification of the verification image is performed in the same manner as in the previous example, and each image (frame ) Are sequentially subjected to basic processing.

Next, the image subjected to the basic processing is sequentially subjected to red-eye correction (high quality processing) to obtain a processed image. In addition to the red-eye correction, an unprocessed image subjected to only basic processing is sequentially sent to the storage means and stored.
At this point, the image that was found not to be flash photography from the photographing information is not subject to red-eye correction (high-quality processing), so it is not necessary to send it to the storage means, and red-eye correction is not performed. The processed image may be the same as the previous example. When the shooting information cannot be acquired and when it is not possible to determine whether or not the flash photography is based on the shooting information, all the unprocessed images are stored in the storage means, and red-eye correction is performed on all the images. Apply.
That is, in this example, all the unprocessed images of one case, or all of the unprocessed images that can be determined to be stroboscopic shooting from the shooting information, are stored in the storage unit.

Red-eye correction is performed as before.
That is, first, an image that was found not to be a flash photography from the shooting information is a non-red-eye image. At this point, the red-eye correction is completed and the basic process and the red-eye correction are performed without performing the correction. The finished image. For the other images, first, the red eye candidate is detected, then the eyelid is detected around the redeye candidate, the redeye candidate in which the eyelid is detected in the vicinity is determined as the red eye, the correction is performed, the basic processing and The processed image is subjected to red-eye correction. In addition, images for which red-eye candidates cannot be detected and images for which wrinkles cannot be detected in the vicinity of red-eye candidates are treated as non-red-eye images, and red-eye correction is completed at that time, and basic processing is performed without image correction. And a processed image on which red-eye correction has been performed.

When the red-eye correction is completed, it is next determined (evaluated) for each image whether or not it is an optimal image as a promotion image, and then supplied to the output order process as a processed image.
The optimal image for the promotion image is determined using the above-described red-eye detection result. For example, the size of the red eye (the size of the eyelid), whether the red eye exists near the center of the image (the main part of the image), the red eye Reliability (color and saturation), whether or not a specific person with red eyes has been photographed in one image (whether or not a red-eye person is an important person), reliability of red-eye detection (red-eye candidate detection, 顏This is performed with an image considered to have a great appeal effect of red-eye correction, that is, an image subjected to red-eye correction, by comprehensively judging one or more from various factors such as the height of the determination value in detection, etc. One image or a plurality of images are selected as a promotion target image as an image that can be clearly found that the red-eye correction has been performed on the output image by comparing with the image that did not exist.

In the illustrated example, when red-eye correction is completed, the suitability as a promotion image is evaluated for each image sequentially using a red-eye detection result in red-eye correction based on a predetermined discrimination criterion. When the process is finished, one image (one frame) having the highest evaluation is selected as a promotion target image. Or you may select the predetermined number of images with high evaluation as a promotion object image.
As an example, assuming that it has a red eye that is 2 mm or more on the promotion print, in an image that satisfies the essential condition, the suitability as a promotion image is determined by the distance from the center of the largest red eye image (center of the screen). evaluate. That is, an image having a red eye of 2 mm or more and the largest-sized red eye in the image is closest to the center of the image is determined as the optimum image and selected as the promotion target image.

Alternatively, instead of comparing the evaluation of all the images of one to select the optimum image, the evaluation is sequentially compared for each image, and only the high evaluation image is stored in the storage means. The remaining image may be selected as the optimal promotion target image.
That is, when the basic processing of the first frame image is completed, the unprocessed image is stored in the storage means, and the red eye correction is performed on the image and the red eye detection result is used to optimize the promotion image. Evaluation according to the discrimination criterion for discriminating the image is performed, and the evaluation result is sent to the storage means. When the basic processing of the second frame image is completed, similarly, an unprocessed image is stored in the storage means, red-eye correction is performed, evaluation is performed, and the result is sent to the storage means. In the storage means, the evaluation of the image is compared between the first frame and the second frame, and only the image with the higher evaluation is left as the promotion handling image, and the other is deleted. Further, the third frame image is similarly stored in the storage means of the unprocessed image, red-eye correction, and evaluated, and sent to the storage means. In the storage means, the stored promotion target image and the third frame image are sent. Compare the evaluation with the other images, leave only the images with the highest evaluation as the images to be promoted, and in the same way, process the fourth frame, the fifth frame, and so on. At the point of time, the image remaining in the storage means is selected as the promotion target image. When selecting a plurality of promotion target images, for example, first, a predetermined number of images are stored in the storage means, and the evaluation is compared between the lowest evaluation image and the supplied image, and the lower one is selected. Just delete it.

  Even in this method, it is not necessary to send an unprocessed image to the storage means for an image that is determined not to be flash photography at the time of red-eye correction from the analysis result of the shooting information, and without performing red-eye correction. The processed image subjected to the red-eye correction may be the same as the previous example.

In the present example in which the promotion target image is automatically selected, the promotion image is not limited to a configuration in which an optimal image is determined and selected. For example, a predetermined number of images (frames in which red eyes are detected first) ) May be selected as the promotion image. Or, similarly, when the red-eye correction is completed for each image, evaluation as a promotion image is performed, and an image having an evaluation exceeding a suitably set threshold is selected as a promotion target image, and a predetermined number can be selected. At some point, the selection may end.
Further, for selection of the promotion target image, some discrimination criteria may be prepared and selectable, and / or discrimination criteria may be arbitrarily set.

When the promotion target image is selected in this way, the selection result is sent to the storage means.
The storage means receives this selection result, selects a corresponding image from the stored unprocessed images, adds information indicating that the image is a promotion target image, and sends it to a promotion process for creating a promotion print image. . Furthermore, the storage unit erases other unprocessed images as necessary.

After selecting the promotion target image and sending it to the promotion process, the input device 10 creates a promotion print image by the promotion process and processes it by the output order process as in the case of the manual selection described above. The finished image and the promotion print image are arranged in a predetermined order and sent to the output device 12, and the output device 12 creates a product print and a promotion print obtained by reproducing the processed image, and sorts them one by one.
Alternatively, similarly to the above, the input device 10 arranges the processed images and the promotion print images in a predetermined order by the output order process, collects the images one by one, and records the images on the storage medium, communication network Output to the outside by etc.

  As described above, in the aspect of automatically selecting the promotion target image, either the aspect of selecting the promotion target image after red-eye correction of all the images or the method of selecting the promotion target image by comparing one image at a time However, for example, in the case of the above-mentioned example, when there is no image that satisfies the essential requirement (minimum standard) in determining the optimal image of the promotion image, such as when there is no image that has a red eye of 2 mm or more on the promotion print. Since the effect of the promotion print cannot be sufficiently obtained, it is preferable not to create the promotion print.

In the above example, only the promotion image is reproduced in the promotion print, but the present invention is not limited to this, and has a position for incorporating the promotion image and the processed image of the corresponding image (frame). A template that becomes a form (form) of a promotion print may be prepared, and a promotion print (image) that reproduces the promotion image and the processed image may be formed.
Alternatively, a mode or the like may be set so that formation of a promotion print that reproduces only the promotion image and formation of a promotion print that reproduces the promotion image and the processed image may be selected.

As an example, a template for reproducing a promotion image and a processed image without a blank as shown in FIG. 6A, and a processed image and a processed image on one print as shown in FIG. 6B. A template for reproducing a smaller promotional image, a template for reproducing a processed image and a promotional image of the same size on a single print, as shown in FIG. 6C, and a template shown in FIG. 6D. A template for reproducing a processed image and a promotional image smaller than the processed image is prepared for one print.
Further, in these templates, an enlarged image or the like may be recorded by cutting out only uncorrected and / or corrected red-eye portions as shown in FIG. Note that this enlarged view may be recorded in a blank portion, a part of the enlarged view may be recorded on the image, or all may be recorded on the image. Further, such an enlarged image may be recorded on a promotion print obtained by reproducing only the above-described promotion image.

When creating a promotion print using such a template, as shown by a dotted line in FIG. 1, for example, a template selection step is provided after the test, and a template selection screen is displayed to prompt selection of the template.
In the case of manual selection of a promotion image, the template may be selected immediately after the promotion image is determined, or after the examination of all one image is completed. The template may be selected by, for example, displaying the template type as a figure and / or characters and selecting it using a GUI or the like.

The template selection result is sent to the promotion process. Similarly to the above-described example, the unprocessed image of the image selected as the promotion target image is also sent to the promotion process.
Also, at this time, red-eye correction is performed to make a processed image in the same manner as described above, or when the determination of the optimum image is completed, the processed image for product printing (that is, the product image) is processed in the output order process. Apart from the supply, a processed image corresponding to the selected promotion target image is also supplied to the promotion process. Therefore, when automatically selecting the promotion target image, it is necessary to store the processed images formed so far until the promotion target image is determined.

When the unprocessed image and the processed image of the promotion target image are sent to the promotion process, the promotion process is started.
In this case, first, the size of the promotion image and processed image to be inserted into the promotion print is determined according to the selected template, and the unprocessed image and processed image of the promotion target image are determined according to the determined size. Resize (size adjustment) to form a promotional image and a processed image that fit into the template. The resizing method is not particularly limited, and a known method such as thinning or electronic scaling may be used. Alternatively, instead of reducing, the image may be cut out according to the size of each image of the template with the red-eye corrected region as the center.
Next, the promotional image and the processed image obtained by resizing are inserted into a predetermined position of the selected template to form a promotional print image.

  In this way, when the promotion print image in which the promotion image and the processed image are incorporated into the selected template is formed, this image is sent to the output order process. The image is output to a recording medium or the like.

Image reduction and incorporation into a template (image composition) may be performed by a known electronic scaling process or image composition.
Even in the case where a promotion print (that image) in which a promotion image and a corresponding processed image are reproduced using a template as described above, the blank portion of the promotion print (in the case of FIG. As in the above, it is preferable to form an image of a promotion print so as to include a comment, and it is preferable to change the size between the promotion print and the product print.
Further, the number of templates is not limited to four, and may be five or more, three or less, or one. Furthermore, the arrangement and size of each image are also arbitrary.

  In the above example, as a preferred mode, after red-eye correction (high-quality processing) is performed, images (processed images and promotion images) are images (resized) having a size corresponding to the template. However, the present invention is not limited to this, and in this aspect in which a promotion image is selected in advance, the image is resized for promotion printing, and then basic processing and red-eye correction are performed for promotion printing. Also good.

In the above example, red-eye correction is performed as high-quality processing (second image processing). As described above, in the present invention, various images other than red-eye correction are used as high-quality processing. Image processing that corrects a general defect can be used. Preferably, various image processing that corrects only an image in which a defect is detected as a result of analysis of information on the image can be used. As described above, scratch removal processing, lens aberration correction, peripheral light reduction correction, and the like are preferably exemplified.
Similar to the red-eye correction, each of these high-quality processes may be performed by a known method.

As an example of the scratch-removal processing method, a line segment that satisfies the condition is detected by edge detection as disclosed in Japanese Patent Laid-Open No. 2000-74846. A method for detecting and correcting a missing portion by continuity with surrounding pixels or complementation using image data of a surrounding area, or a difference between a smoothed image and an original image disclosed in Japanese Patent Laid-Open No. 2000-92319 Examples include a method of detecting a defect candidate area caused by dust scratches from the size of the object, detecting a defect part from the characteristics of the candidate area such as a change in shape and color, and correcting the defect part as before. .
In addition, when forming an image from an image taken on a photographic film, in addition to normal image reading of R (red), G (green), and B (blue), IR light (infrared light) is used. Using the IR light reading and scattering results to detect the position of dust scratches on the film using the IR light reading and scattering, A correction method can also be suitably used.

In the case of performing scratch removal as high-quality processing, the optimum image as the promotion image is determined using, for example, the detection result of the dust scratches, the length, thickness, and number of dust scratches, The appeal effect of the scratch-removal process by comprehensively judging one or more of whether or not the subject is covered by the main subject, whether the position of the dust wound is close to the center of the image (main part of the image), etc. This may be done by selecting one image or a plurality of images that are considered to be large.
Further, when the position of dust or scratches using IR light is detected as a scratch erasing method, an unprocessed image is used as an image that does not have an IR light image for an image that does not have an IR light image. You may handle as a processed image which did not supply to a memory | storage means and also performed the high quality process, without performing a flaw removal process.

  On the other hand, as a lens aberration correction method and a peripheral light attenuation correction method, for example, disclosed in Japanese Patent Application Laid-Open No. 11-225270, a camera type in which the lens characteristics of a camera are known and stored in advance and an image is taken ( A method of knowing the lens type) and performing lens aberration correction and / or peripheral dimming correction using corresponding lens characteristics is exemplified. If the lens type is image formation from an APS film, magnetic information is also read at the time of reading with a scanner, and this information is analyzed. On the other hand, image formation from an image taken with a digital camera or the like is possible. If there is, it may be detected by analyzing various information recorded in the image file.

When performing lens aberration correction and peripheral dimming correction as high-quality processing, the optimum image as a promotion image is determined, for example, by comprehensively determining aberration, dimming magnitude, aberration and dimming conspicuousness, etc. Then, it is sufficient to select one image or a plurality of images that are considered to have a great appeal effect of lens aberration correction and peripheral light reduction correction. The magnitude of the aberration and dimming, and the degree of conspicuousness may be performed by detecting the change in aberration and dimming in a concentric circle that gradually increases with the center of the screen as the center.
In addition, when performing lens aberration correction and peripheral dimming correction as high-quality processing, the lens aberration correction and peripheral dimming correction are applicable to images for which the lens type cannot be identified or the lens characteristics cannot be acquired. As an image that does not become an image, an unprocessed image may not be supplied to the storage unit, and may be handled as a processed image that has been subjected to high-quality processing without correction.

  In the present invention, the high-quality processing performed on the image is not limited to any one of red-eye correction, scratch cancellation processing, lens aberration correction, and peripheral light reduction correction, and two or more of these processing are performed. Of course, you can go.

Further, depending on the combination of high-quality processing to be performed and a plurality of high-quality processing, it may be preferable to perform high-quality processing (or a part thereof) prior to basic processing.
In such a case, as schematically shown in FIG. 7, the basic processing and high-quality processing for obtaining the processed image are performed on the image, and the original image is stored in parallel without performing the basic processing. The image stored in the means and selected as the promotion target image by determining the optimum image is subjected to basic processing after reading the corresponding original image from the storage means to be an unprocessed image. do it.

The present invention is not limited to image formation using a photographic print using photographic paper as shown in the illustrated example, but is a printer using a printing, thermal recording medium, a printer using a photosensitive thermal recording medium, and a printer using a photosensitive medium. Also, it may correspond to image formation (print (hard copy) creation) with an inkjet printer, an electrophotographic printer, or the like.
Here, the product print and the promotion print may be different in the recording medium and the image recording method (drawing method), but the effect of the high-quality processing by comparing the product print and the promotion print, the texture of the promotion print, etc. In this respect, it is preferable to create a promotion print using the same recording medium and image recording method as the product print. In particular, when creating a photographic print, outputting the promotional print as a photographic print in which a promotional image is recorded on photographic paper is preferable in terms of the promotional print texture, customer satisfaction, the appeal of high-quality processing, and the like.
In addition, if possible depending on the image forming method, the image is not formed on only one side of the print (hard copy). For example, a processed image (product image) is provided on the surface as a promotion print or a product print. The print may be output and the promotion image reproduced on the back side.

In the present invention, when a promotion print is output, the promotion print image or the product print image is displayed on a display or the like, thereby confirming the appeal effect of the promotion print and the effect of high quality processing. This is more preferable.
It is also preferable that the same service can be provided by an unmanned photographing device installed at a store, a print creation device installed at a store, a photo print order receiving machine installed at a store.

  The image forming method and the image forming apparatus of the present invention have been described in detail above. However, the present invention is not limited to the above embodiments, and various improvements and modifications can be made without departing from the gist of the present invention. Of course it is good.

(A) And (B) is a flowchart which shows the concept of an example of the image forming method of this invention. It is a conceptual diagram for demonstrating an example of the red eye correction method in this invention. (A) And (B) is a conceptual diagram for demonstrating an example of the red-eye correction method in this invention. (A) And (B) is a conceptual diagram which shows an example of the image output order in this invention. (A) And (B) is a conceptual diagram which shows another of the image output order in this invention. (A)-(E) is a conceptual diagram which shows an example of the template of the image formed with the image forming method of this invention. It is a flowchart which shows the concept of another example of the image forming method of this invention.

Explanation of symbols

10 Input machine 12 Output machine

Claims (17)

With respect to one entire image composed of a plurality of optically photographed images, the first image processing and the second image processing are performed and output as a product image,
For one or more target images selected from the one case, an unprocessed image subjected to only the first image processing is also output, and a product image corresponding to the unprocessed image is the one case An image forming method characterized in that the image is continuously output.   At least a target image of the one image is subjected to the first image processing, and an image subjected to only the first image processing is determined as a predetermined image separately from the execution of the second image processing. The image forming method according to claim 1, wherein the image is stored in a storage unit, and the target image is read from the storage unit and output in accordance with the progress of the second image processing in the one case. At least the target image of the one image stores an unprocessed image in a predetermined storage unit separately from the execution of the first image processing and the second image processing,
2. The target image is read from the storage unit in accordance with the progress of the first image processing and the second image processing in the one case, and is output after performing the first image processing. Image forming method.   The image according to any one of claims 1 to 3, wherein the first image processing is image processing for completing an image, and the second image processing is processing for correcting a defect in the image. Forming method.   5. The image processing according to claim 4, wherein the second image processing is an image processing that analyzes information related to an image and corrects the image defect only when it is detected that the image image defect is detected as a result. Image forming method.   The first image processing is image enlargement or reduction, gradation correction, color / density correction, saturation correction, sharpness processing, and dodging processing, and the second image processing is red-eye correction, image 6. The image forming method according to claim 4, wherein the image forming method is at least one of correction of a defect portion, correction of aberration caused by a photographing lens, and peripheral light reduction correction caused by a photographing lens.   The image formation according to claim 1, wherein the product images are output in an order corresponding to the image numbers in the one case, and the unprocessed images are output immediately before or immediately after the corresponding product images. Method.   The image forming method according to claim 1, wherein the unprocessed image and the corresponding product image are output at the beginning or end of the one case.   The product print obtained by reproducing the product image and the reference print obtained by reproducing the unprocessed image are reproduced and output on the same type of recording medium by the same image recording method. Image forming method.   The image forming method according to claim 9, wherein the recording medium is photographic paper.   The image forming method according to claim 9, wherein the reference print has a print size different from that of the product print.   2. An image obtained by performing the first image processing and the second image processing on one surface of one hard copy is reproduced, and an image obtained by performing only the first processing on the other surface is reproduced. The image forming method according to any one of -8.   When outputting the product image as image data, the image data including the unprocessed image is output, and the image data including the unprocessed image is different from the image data including the product image in data size and header information. The image forming method according to claim 1, wherein at least one of them is different. Means for acquiring an image for each case composed of a plurality of optically photographed images, processing means for performing first image processing and second image processing on the acquired image, and among the one case, A selection unit that selects one or more images as target images, and an arrangement unit that outputs the images in a predetermined order,
In addition, for the target image selected by the selection unit, the processing unit performs a product image on which the first image processing and the second image processing are performed, and an unprocessed image on which only the first image processing is performed. And the arrangement means sets the image output order so that the unprocessed image and the corresponding product image are continuously output in the one case. apparatus.   Storage means for storing an image, and at least a target image of the one image is subjected to the first image processing, and then the first image processing is performed separately from the execution of the second image processing. The image according to claim 14, wherein an image subjected to only image processing is stored in the storage unit, and the target image is read from the storage unit and output in accordance with the progress of the second image processing in the one case. Forming equipment.   Storage means for storing an image, and at least a target image of the one image is an unprocessed image stored in the storage means separately from the execution of the first image processing and the second image processing. And storing the target image from the storage unit in accordance with the progress of the first image processing and the second image processing in the one case, and outputting the target image after performing the first image processing. 14. The image forming apparatus according to 14.   The image according to any one of claims 14 to 16, wherein the first image processing is image processing for completing an image, and the second image processing is processing for correcting a defect in the image. Forming equipment.

Images