JP4513006B2 - Emulsion scratch determination method and emulsion scratch determination system - Google Patents

Description

  The present invention is based on image data composed of a large number of pixels acquired from an image recorded on a photographic film, and has an effect due to emulsion scratches on the photographic film (scratches on the emulsion surface of the photographic film). The present invention relates to an emulsion flaw determination technique for creating an emulsion flaw map that defines the received emulsion flaw pixels.

  As a photographic printing device that outputs images recorded on photographic film such as negative film and positive film to photographic paper, it has recently been obtained using a film scanner that photoelectrically converts light transmitted through the photographic film image using a CCD or the like. 2. Description of the Related Art Digital photo printing apparatuses that perform appropriate image processing on digital image data and expose photographic paper using light modulated based on the processed image data have become mainstream.

  When film images are converted into image data by a film scanner, if the photographic film is scratched or dusty, the pixel values of the obtained image data will be inaccurate, and faithful film images may be reproduced on photographic paper. It becomes difficult. In order to solve such a problem, a technique for effectively removing the influence of scratches by applying special image processing called scratch removal has been proposed. (For example, refer to Patent Document 1). This kind of scratch-removal image processing technology, when infrared light is transmitted through a photographic film, the infrared light transmitted through the photographic film is scattered by scratches on the photographic film, but forms an image on the photographic film. It is based on the principle that it is basically unaffected by the dyes that do. In other words, in the infrared image data formed by infrared light transmitted through the photographic film, only the information on the flaw is included, and only the pixel affected by the flaw tends to decrease its pixel value. is there. In addition, visible light image data (digital image data of red component, green component, and blue component) formed by transmitting visible light through the same photographic film is basically damaged to the same extent as infrared image data. It is considered that the pixel value of the pixel that is affected by the decrease in the value occurs. Therefore, in the infrared image data, a pixel having a reduced pixel value can be determined as a pixel affected by a scratch (hereinafter referred to as “scratched pixel”), and the corresponding pixel in the visible light image data. By adding the pixel value decrease amount of the infrared image data to the pixel value for each color component, the influence of the scratch can be removed. However, the scratch removal process is effective for pixels affected by scratches (hereinafter referred to as “base scratches”) applied to the base surface of a photographic film. The influence cannot be removed for the affected pixels. The reason will be described below.

  The state in which the emulsion surface of the photographic film is scratched is a state in which the dye forming the image of the photographic film is scraped. Further, a blue photosensitive layer (yellow dye), a green photosensitive layer (magenta dye), and a red photosensitive layer (magenta dye) are sequentially laminated on the emulsion surface of the film. Therefore, when the emulsion surface is scratched, each layer is scraped in order from the blue-sensitive layer, and the missing amount of each layer is different. As a result, the pixel value of the pixel affected by the emulsion scratch is increased by a different amount for each color component compared to the state without the scratch. Therefore, with respect to pixels affected by emulsion scratches (hereinafter referred to as “emulsion scratched pixels”), the pixel value decrease amount of infrared image data is added to the pixel value of each color component of visible light image data. Even if the scratch removal process is performed, the influence cannot be removed.

  For this reason, the present applicant has proposed an emulsion damage determination technique that can accurately detect only pixels affected by an emulsion damage (see, for example, Patent Document 2). In this emulsion damage determination technique, each pixel of image data composed of a large number of pixels acquired from an image recorded on a photographic film is sequentially designated as a pixel of interest, and is located within a predetermined range around the pixel of interest. A normal pixel is searched using a preset threshold, and an average value of each pixel value of the normal pixel corresponding to the target pixel is obtained with any one color component, and the target pixel in the one color component is calculated. When the pixel value is higher than the average value by a predetermined amount, an emulsion scratch determination routine for determining the target pixel as an emulsion scratch pixel is executed over all the pixels of the image data. In this normal pixel search process, when a normal pixel cannot be detected in a predetermined peripheral area, the detection level of the used threshold is relaxed, and the normal pixel search process is performed again. According to this emulsion scratch determination technique, it is possible to determine emulsion scratches with high reliability. However, when the data size (number of pixels) of image data to be determined is large, the normal pixel search process described above is particularly performed. There is a problem that processing time is considerably required as a burden.

JP 2000-341473 A

JP 2004-132743 A (paragraph numbers 0086 to 0127, FIG. 1)

  In view of the above situation, an object of the present invention is to provide an emulsion scratch determination technique capable of determining only pixels affected by an emulsion scratch at a high processing speed.

  In order to solve the above-mentioned problems, an emulsion scratch determination method for creating an emulsion scratch map for defining emulsion scratch pixels affected by emulsion scratches in a photographic film according to the present invention is obtained from an image recorded on a photographic film. A pixel-of-interest designating step for sequentially designating a pixel of interest from the image data composed of a large number of pixels, an emulsion-scratch candidate pixel determining step for determining whether the pixel of interest is an emulsion-scratch candidate pixel, and the emulsion-scratch A normal pixel search step for searching for a normal pixel located in a peripheral region of the emulsion scratch candidate pixel determined in the candidate pixel determination step, and a pixel value of the normal pixel detected when the normal pixel is detected in the normal pixel search step Is used to determine whether the emulsion scratch candidate pixel is an emulsion scratch pixel, and the normal pixel search step. If the normal pixel is not detected in the step, the emulsion scratch pixel determination step for determining the emulsion scratch of the current target pixel based on the previous determination result of the target pixel, and the emulsion scratch pixel determined in the emulsion scratch pixel determination step And a map recording step for writing the pixel positions to the emulsion scratch map.

  In this method, when a normal pixel is not detected in the normal pixel search process, the normal pixel search process is performed again after relaxing the threshold level of normal pixel determination as shown in, for example, Patent Document 2 as in the past. The normal pixel search process is shortened because the determination of the emulsion flaw of the current pixel of interest is directly performed based on the previous determination result of the target pixel. That is, instead of repeating the normal pixel search process again with the relaxed threshold, if the normal pixel is not detected in the normal pixel search process with the initially set threshold, the previous pixel of interest is determined as an emulsion scratch. If this is the case, the current pixel of interest is also determined to be an emulsion scratch, and if the previous pixel of interest is determined not to be an emulsion scratch, it is determined that the current pixel of interest is also not an emulsion scratch.

  This solution is based on the inventor's knowledge that emulsion scratches are not considered to occur in units of one pixel, and a plurality of pixels (emulsion scratch pixels) affected by one emulsion scratch are continuous. . In other words, a general photographic film generally has a normal pixel region composed of a plurality of pixels, followed by an emulsion scratch pixel region composed of a plurality of pixels, and then a normal pixel region composed of a plurality of pixels appears again. become. For this reason, the periphery of the pixel at the center of the emulsion scratch pixel area is surrounded by the emulsion scratch pixel, and no normal pixel exists around the periphery. In view of this, if there is no normal pixel in a predetermined peripheral area centered on the target pixel determined to be an emulsion scratch candidate pixel, the emulsion scratch of the current target pixel is determined according to the previous emulsion scratch determination result of the target pixel. Even if pixel determination is performed, there is almost no problem. The present invention utilizes this fact.

  However, in general, when sequentially specifying a pixel of interest from image data acquired from photographic film by line scanning, the image data is in the form of matrix data, and the pixel of interest is sequentially specified row by row. Since the continuity with the pixel at the end of the previous row is lost, if such a pixel at the start of the row is the target pixel, the emulsion defect pixel determination of this target pixel is performed as the previous target pixel. It cannot be left to the emulsion scratch pixel determination result. For this reason, in one of the preferred embodiments according to the present invention, as a special case, when no normal pixel is detected in the normal pixel search step, if the target pixel to be determined is an edge portion of image data, this attention The pixel is forcibly determined not to be an emulsion scratch.

  The present invention also covers a program for causing a computer to execute the above-described emulsion scratch determination method and a medium on which the program is recorded.

In the present invention, an emulsion scratch determination system for carrying out the above-described emulsion scratch determination method is also subject to the right, and such an emulsion scratch determination system includes a large number of pixels acquired from an image recorded on a photographic film. A pixel-of-interest designating unit that sequentially designates a pixel of interest from image data, an emulsion-scratch candidate pixel determining unit that determines whether the pixel of interest is an emulsion-scratch candidate pixel, and an emulsion-scratch-candidate pixel determining unit A normal pixel search unit for searching for a normal pixel located in a peripheral region of the determined emulsion scratch candidate pixel, and a normal pixel detected when the normal pixel is detected by the normal pixel search unit. If the emulsion scratch candidate pixel is determined using the emulsion scratch determination condition and the normal pixel search unit does not detect a normal pixel, the previous pixel of interest Based on the determination result, it is composed of an emulsion scratch pixel determination unit for determining the emulsion scratch of the current pixel of interest, and a map recording unit for writing the pixel position of the emulsion scratch pixel determined by the emulsion scratch pixel determination unit to the emulsion scratch map Has been. Naturally, such an emulsion scratch determination system also includes all the embodiments described in the above-described emulsion scratch determination method, and can obtain all the above-described effects.
Other features and advantages of the present invention will become apparent from the following description of embodiments using the drawings.

Embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is an external view showing a photographic printing apparatus equipped with a film flaw correction processing unit employing an emulsion flaw determination technique according to the present invention. This photographic printing apparatus is developed by a film developing machine not shown here. In addition, a film scanner 3 that reads a photographed image frame of a photographic film 1 (hereinafter simply referred to as “film”) as digital image data (hereinafter simply referred to as “image data”) composed of a large number of pixels and image processing on the acquired image data. The photographic print 2a is created by performing an exposure process and a development process on the photographic paper 2 based on the print information from the operation station OS and the controller 5 that creates the print information by performing the above. It consists of a print station PS. The controller 5 is basically composed of a general-purpose personal computer, and is mounted with a film scratch correction processing unit incorporating the emulsion scratch determination technique according to the present invention. This personal computer incorporates a monitor 4a for displaying the operation screen of the photo printing apparatus, a media reader 4b for reading image data from a memory card used in a digital camera, etc., a keyboard 4c used for operation input by an operator, and the like. It is.

  As shown in FIG. 2, the print station PS draws out the roll-shaped photographic paper 2 stored in the two photographic paper magazines 11 and cuts it into a print size by the sheet cutter 12. On the photographic paper 2, print processing information such as color correction information and frame number is printed on the back surface of the photographic paper 2 by the back print unit 13, and the photographed image is exposed on the front surface of the photographic paper 2 by the exposure print unit 14. The exposed photographic paper 2 is sent to a processing tank unit 15 having a plurality of development processing tanks for development processing. After drying, the photographic paper 2, that is, the photographic prints 2a, sent to the sorter 17 from the transverse feed conveyor 16 at the top of the apparatus is collected in a plurality of trays 17a of the sorter 17 in a state of being sorted in order units (FIG. 1). reference).

  A photographic paper transport mechanism 18 is laid to transport the photographic paper 2 at a transport speed in accordance with various processes for the photographic paper 2 described above. The photographic paper transport mechanism 18 is composed of a plurality of nipping and transporting roller pairs including a chucker type photographic paper transport unit 18a disposed before and after the exposure unit 14 in the photographic paper transport direction.

  The exposure print unit 14 applies R (red) and G (green) to the photographic paper 2 conveyed in the sub-scanning direction based on print information such as print data from the operation station OS along the main scanning direction. A line exposure head for irradiating laser beams of the three primary colors B (blue) is provided. The processing tank unit 15 includes a color developing tank 15a for storing a color developing processing liquid, a bleach-fixing tank 15b for storing a bleach-fixing processing liquid, and a stabilizing tank 15c for storing a stable processing liquid.

  The film scanner 3 is a film scanner provided with components for correcting film scratches. The main components are an illumination optical system 31, a zoom lens 32 as an imaging optical system, and incident light as visible light and infrared light. A dichroic mirror 33 for dividing light, a visible light sensor unit 34, and an infrared light sensor unit 35 are provided. The illumination optical system 31 includes a halogen lamp or a light emitting diode as a light source, and a mirror tunnel or a diffusion plate that dimmes light from the light source. The visible light sensor unit 34 is equipped with color filters that are suitable for detecting a visible light image composed of three basic color components (for example, R: red component, G: green component, B: blue component) of the film 1. The three CCD arrays 34a and the visible light signals detected by these CCD arrays 34a are processed to generate R, G, B image data composed of basic color components and transfer them to the controller 5 for visible light A signal processing circuit 34b is provided. On the other hand, the infrared light sensor unit 35 is disposed so as to receive only the infrared light branched from the dichroic mirror 33 in order to detect the state of scratches on the film 1 as an infrared light image. And an infrared light signal processing circuit 35b for processing infrared light signals detected by the CCD array 35a to generate infrared light image data and transferring it to the controller 5.

  In the film scanner 3 configured as described above, when the shot image frame of the film 1 is positioned at a predetermined reading position, reading processing of the shot image frame is started. At this time, the projection light image of the shot image frame is The film 1 is sequentially read by the visible light sensor unit 34 and the infrared light sensor unit 35 in the form of being divided into a plurality of slit images by feeding the film 1 in the sub-scanning direction by the film transport mechanism 36. , B color component image signals and infrared component image signals are photoelectrically converted and sent to the controller 5 as raw image data. Each control of the illumination optical system 31, the imaging optical system 32, the visible light sensor unit 34, and the infrared light sensor unit 35 is performed by an operation command from the controller 5.

  The controller 5 has a CPU as a core member, and a functional unit for performing various processes on input data is constructed by hardware and / or software. The functional unit particularly related to the present invention. As shown in FIG. 3, detailed description will be given later using the visible light image data acquired by the visible light sensor unit 34 and the infrared light image data acquired by the infrared light sensor unit 35. Film defect correction processing unit 6 for correcting defective pixels (scratched pixels) caused by scratches on the film 1 to be corrected, color correction and filtering (blurring, sharpness, etc.) for the image data corrected in the film scratches and developed in the memory 51 ) And image processing unit 52 for performing various image processing such as trimming, image data and other display items in video memory At the same time, the image developed in the video memory is converted into a video signal by a video controller and sent to the monitor 4a. The final image data processed by the image processing unit 52 is converted into print data. The print data generation unit 54 transferred to the exposure print unit 14 of the print station PS, an operation command input through the keyboard 4c or the like under an operation screen created using the GUI, or a pre-programmed operation command There is a print management unit 55 that controls each functional unit.

  The film flaw correction processing unit 6 executes base flaw removal processing, emulsion flaw detection processing, and emulsion flaw removal processing using the visible light image data and infrared light image data sent from the film scanner 3. , A pre-processing module 61, a base flaw removal module 62, an emulsion flaw determination module 63, an emulsion flaw removal module 64, and an internal memory 65 are provided.

  The pre-processing module 61 is a module that executes processing that is a previous stage of base scratch removal processing and emulsion scratch detection processing. Specifically, the pre-processing module 61 is a clear film value (hereinafter abbreviated as a CF value) that is a pixel value of infrared light image data of a pixel (hereinafter referred to as a “normal pixel”) that is not affected by a scratch. ) Is calculated.

  The infrared light image data and the visible light image data obtained from the same film 1 have corresponding pixels. On the other hand, the infrared light transmitted through the film 1 is not affected by the pigment of the film 1 although it is affected by the base scratch of the film 1. That is, the infrared light image data includes information on the base flaw, but does not include image information formed on the film 1, and the pixels affected by the base flaw (hereinafter referred to as “base flaw pixel”). ")" Tends to decrease the pixel value from a state in which there is no scratch. Therefore, the CF value can be used as a threshold value for distinguishing between normal pixels and base flaw pixels, and a pixel having a pixel value of infrared light image data equal to or less than the CF value can be determined as a base flaw pixel.

  The base flaw removal module 62 is a module that executes the above-described base flaw removal processing. Specifically, for the base flaw pixel, the base flaw pixel is obtained by subtracting the pixel value of the infrared light image data from the CF value. The pixel value decrease amount from a state in which there is no flaw is calculated, and a process of adding the pixel value decrease amount to each pixel value of the red component, the green component, and the blue component in the visible light image data is executed.

  Although the base scratch is scratched on the base surface on the film 1, basically the pigment is not missing, so the amount of decrease in the pixel value from the scratch-free state in the base scratch pixel is red It is considered that the component, green component, and blue component are almost equal. Therefore, for each base scratch pixel, if a pixel value reduction amount, which is the difference between the CF value and the pixel value of the infrared light image data, is added to each pixel value of the red component, green component, and blue component, The effect can be removed from the base flaw pixel.

  However, since the emulsion scratches lack the dyes of the respective color components of the film 1, the pixel value of the visible light image data in the emulsion scratch pixels rises from the state without the emulsion scratches. Furthermore, the missing amount of the pigment is different for each color component. For this reason, the amount of increase in the pixel value from the state in which the visible light image data is not damaged in the emulsion scratch pixel is different for each of the red component, the green component, and the blue component. Therefore, in order to remove the influence of the emulsion scratches from the emulsion scratch pixels, a process different from the base scratch removal process is required.

  The emulsion scratch determination module 63 processes the visible light image data while applying the CF value determined by the preprocessing module 61 to the infrared light image data, detects emulsion scratch pixels, and detects the detected emulsion scratch pixels. This module creates an emulsion scratch map indicating pixel positions. As shown in FIG. 4, the emulsion scratch determination module 63 includes a pixel-of-interest specifying unit 63a that sequentially specifies a pixel of interest from image data, and an emulsion that determines whether the specified pixel of interest is an emulsion scratch candidate pixel. Scratch candidate pixel determination unit 63b, normal pixel search unit 63c for searching for a normal pixel located in the peripheral area of the emulsion scratch candidate pixel determined by emulsion scratch candidate pixel determination unit 63b, and normal pixel search unit 63c If detected, it is determined whether the emulsion scratch candidate pixel is an emulsion scratch pixel using the emulsion scratch determination condition created by the emulsion scratch determination condition creating unit 63d based on the pixel value of the detected normal pixel. When no normal pixel is detected by the normal pixel search unit 63c, an emulsion scratch pixel determination unit 63e that performs emulsion scratch determination of the current pixel of interest based on the previous determination result of the pixel of interest, and emulsion And is configured to pixel positions of the emulsion scratch pixels determined by the pixel determining section 63e and a map recording unit 63f writing to emulsion scratch map for the processing procedure of the respective functional elements will be described in detail later.

  The emulsion scratch removal module 64 corrects the pixel value for each color component of the visible light image data corresponding to the emulsion scratch pixel position defined by the emulsion scratch map recorded by the map recording unit 63d by using an interpolation method. This module executes an emulsion scratch removal process.

  Next, the flow of processing in the film flaw correction processing unit 6 will be described based on the flowchart shown in FIG. First, the image data from the film 1 acquired by the film scanner 3, in this case, visible light image data and infrared light image data are sent to the film flaw correction processing unit 6 (# 01). The image data sent to the film flaw correction processing unit 6 is used for determining the CF value in the preprocessing module 61 (# 02).

  The CF value is basically a pixel value of infrared image data of normal pixels, but one typical CF value calculation method is disclosed in Japanese Patent Application Laid-Open No. 2004-132743, which is Patent Document 2 described above. This is described in detail in paragraph numbers 0068-0080. That is, prior to obtaining the CF value, first, a temporary CF value is calculated, only pixels that can be considered normal pixels are detected using the temporary CF value as a threshold, and pixels that can be considered as detected normal pixels. By calculating the red leakage using only the infrared light, corrected infrared light image data in which the red leakage is removed from the infrared light image data is generated, and the true CF value is obtained therefrom. As a result, the CF value becomes closer to the pixel value of the infrared light image data of the normal pixel than the temporary CF value.

Next, the base scratch removal module 62 receives the infrared light image data (the infrared light image data from which the red leakage has been removed) and the visible light image data received from the preprocessing module 61 and the CF value determined by the preprocessing module 61. Is used to perform base scratch removal processing (# 03). In this base flaw removal processing, a pixel whose pixel value of infrared light image data is lower than the CF value is determined as a base flaw pixel, and for each base flaw pixel,
(Correction amount) = (main CF value) − (pixel value of infrared light image data)
And the correction amount is added to the pixel value of each color component in the visible light image data for each base scratch pixel, so that the visible light image data after removal of the base scratch is output.

  Next, the emulsion scratch determination module 63 detects the emulsion scratch pixel using the visible light image data and infrared light image data after the base scratch removal, and the CF value determined by the preprocessing module 61, and the emulsion scratch map is obtained. The creation process is performed (# 04). This emulsion scratch map creation process will be described in detail later. When the emulsion scratch map is created, an emulsion scratch removal process for correcting emulsion scratch pixels included in the visible light image data is executed using the emulsion scratch map (# 05). Emulsion scratch removal processing is performed by interpolation using pixel values of so-called peripheral normal pixels, and various emulsion scratch removal algorithms are known. For example, JP 2001-78038 A and JP 2004-2004 A are known. Reference is made to US Pat. The visible light image data that has undergone the emulsion scratch removal process is subjected to appropriate image processing in the image processing unit 52 and then converted into print data for making a photographic print.

  The emulsion scratch map creation process described above will be described in detail with reference to the flowcharts shown in FIGS. Note that the CF value is also used in this emulsion scratch map creation process, but the CF value used here is preferably slightly higher than the CF value used in the base scratch removal process. This is because it has been empirically recognized that the pixel value of the infrared light image data in the emulsion scratch pixel tends to be slightly higher than the pixel value of the infrared light image data in the base scratch pixel.

  First, the target pixel is specified by the target pixel specifying unit 63a (# 40). The image data sent from the film scanner 3 is a continuous pixel group, but it is easy to understand if it is stored in the memory as two-dimensional matrix data corresponding to the shot image frames of the film 1. As described above, when the image data is matrix data composed of a large number of pixel elements, the pixel of interest is sequentially designated from the right end to the left end of the first row, and when one row ends, the jump to the start end of the next row is performed. It is done sequentially to the left end again.

When the pixel of interest is designated, its infrared light pixel value: Wd is compared with the CF value (# 41). If the infrared light pixel value: Wd is lower than the CF value, the pixel of interest is regarded as an emulsion scratch candidate. Move on to the next step. When the infrared pixel value: Wd is greater than or equal to the CF value, the target pixel is not regarded as an emulsion scratch candidate, and when there is a next target pixel, the process returns to step # 40 to designate the next target pixel. For pixels considered as emulsion scratch candidates, from the corresponding pixels in the visible light image data,
Average value of each color: Wave = (Wr + Wg + Wb) / 3
(# 42). Wr is the red component pixel value of the target pixel, Wg is the green component pixel value of the target pixel, and Wb is the blue component pixel value of the target pixel.

  With respect to a target pixel regarded as an emulsion scratch candidate, a normal pixel search is performed in the region surrounding the target pixel, which is necessary to set a determination condition for determining whether or not this emulsion scratch candidate is actually determined as an emulsion scratch. (# 43). The normal pixel search processing in the peripheral area will be described with reference to the flowchart of FIG. 7 and the search order schematic diagram of FIG. The normal pixel search is performed by expanding the outer peripheral pixel group sequentially from the first outer peripheral pixel group (the outer peripheral pixel of the 3 × 3 matrix) with the target pixel (the pixel blacked out in FIG. 8) as the central pixel as a search area. Here, the final outer peripheral pixel group is the third outer peripheral pixel group (the outer peripheral pixel of the 7 × 7 matrix, but this can be arbitrarily set. Note that the designated outer peripheral pixel is a normal pixel. The condition to be determined is that the infrared light pixel value of the designated outer peripheral pixel is larger than the CF value.

First, a first outer peripheral pixel group is set as a search area, and this is eight outer peripheral pixels of a 3 × 3 matrix centering on the target pixel. In the actual program, a method of directly specifying the element position of the two-dimensional matrix is used, but here, in order to simplify the description of the processing, as shown in FIG. 8, each pixel belonging to the first outer peripheral pixel group is assigned to each pixel. An index of 1 to 8: m is given. Therefore, for example, m = 1 specifies the upper left pixel. As an initial setting, m = 0 and Max = 8 (the maximum value of m assigned to the pixels of the specific outer peripheral pixel group) are set (# 430). Subsequently, in order to start a search routine for the outer peripheral pixel group, the value of m is incremented (# 431), and the infrared light pixel value Wd (m) of the outer peripheral pixel specified by m is compared with the CF value (#). 432). When the infrared pixel value of the outer peripheral pixel is equal to or less than the CF value (# 432 No branch), this outer peripheral pixel is not determined as a normal pixel, and the next outer peripheral pixel is determined. When the infrared pixel value of the outer peripheral pixel is larger than the CF value (# 432 Yes branch), this outer peripheral pixel is determined as a normal pixel, and the following pixel values are calculated for calculating the average value of each normal pixel performed in a later step. Cumulative processing is performed,
Red component total: Sr = Sr + Wr (m)
Green component total: Sg = Sg + Wg (m)
Blue component cumulative: Sb = Sb + Wb (m)
Infrared component accumulation: Sd = Sd + Wd (m)
Where Wr (m) is the red component pixel value of the outer peripheral pixel specified by m, Wg (m) is the green component pixel value of the outer peripheral pixel specified by m, and Wb (m) is the outer periphery specified by m. This is the blue component pixel value of the pixel (# 433).
Further, the normal pixels are counted in the normal pixel accumulation: CNT (# 434). Next, it is checked whether or not the value of m has reached the maximum value: Max, that is, whether or not all the pixels included in the first outer peripheral pixel group have been determined (# 435), and if undetermined pixels remain ( (# 435 No branch) Jump to step # 431 to determine the next pixel. When the determination of all the pixels included in the first outer peripheral pixel group has been completed (# 435 Yes branch), it is checked whether the normal pixel accumulation: CNT is equal to or greater than a predetermined determination value (for example, 10) ( If it is equal to or greater than the determination value (# 436 Yes branch), the normal pixel search routine is terminated and the process returns to the previous routine. Normal pixel accumulation: When the CNT has not reached the judgment value (# 436 No branch), it is checked whether or not the search area is covered up to the final outer peripheral pixel group (here, the third outer peripheral pixel group) (# 437). If the pixel group is searched (# 437 Yes branch), the normal pixel search routine is terminated and the process returns to the previous routine. Further, if there are remaining outer pixel groups to be searched (# 437 No branch), settings are made for the next outer pixel group (# 438), and the process jumps to step # 431 to search for the next outer pixel group. The normal pixel search is started.

  Returning from the normal pixel search routine shown in FIG. 7, in the emulsion scratch map creation process, it is checked whether or not the normal pixel total: CNT is 1 or more (# 44). Normal pixel accumulation: If CNT is 1 or more, the emulsion defect determination condition creation process is started (# 45).

In this emulsion scratch determination condition creation process, first, the following calculated values are obtained from each color component total Sr, Sg, Sb, infrared component total Sd, and normal pixel total: CNT.
Red average: ave_r = Sg / CNT,
Green average: ave_g = Sb / CNT,
Blue average: ave_b = Sr / CNT,
Infrared average: ave_d = Sd / CNT,
Pixel average: LA = (ave_r + ave_g + ave_b) / 3.
There are three conditions for judging emulsion scratches.
(1) The determination condition 1 is “Wave> LA + upper” or “Wave <LA + lower”, and upper and lower are constants.
(2) The determination condition 2 is “Wb−ave_b> Wg−ave_g” and “Wb−ave_b> Wr−ave_r + rto”, and rto is a constant. Wr, Wg, and Wb are pixel values of each color of the target pixel.
(3) The determination condition 3 is “Wd <ave_d + depth”, and depth is a constant.

  When the emulsion scratch determination condition is created, it is determined whether or not the target pixel regarded as an emulsion scratch candidate is a true emulsion scratch (# 46). In this determination process, first, a pixel of interest that does not satisfy the determination condition 1 is determined as a normal pixel. When the determination condition 1 is satisfied, the film to be processed is further classified as negative or positive. In the case of a negative film, if the combination determination condition of [determination condition 1 and (determination condition 2 or determination condition 3)] is satisfied, the target pixel is regarded as an emulsion scratch pixel. In the case of a positive film, if a combination determination condition of [determination condition 1 and (determination condition 2 and determination condition 3)] is satisfied, the target pixel is regarded as an emulsion scratch pixel. In any case, only when the target pixel is regarded as an emulsion scratch pixel (# 46 Yes branch), the position of this target pixel is recorded in the emulsion scratch map (# 47).

  If the normal pixel accumulation: CNT is 0 in the check of whether the normal pixel accumulation: CNT is 1 or more in the previous step # 44 (# 44 No branch), the target pixel is matrix data matched to the scanning. As to whether the pixel is located at the line start end in the image data stored in the memory (# 48). If the current pixel of interest is a pixel located at the line start end (# 48 Yes branch), the continuity on the captured image frame of film 1 is lost with the previous pixel of interest, so this pixel of interest is Considering that the pixel is not the target pixel, the process proceeds to the next step (# 49).

  On the other hand, if the current pixel of interest is not a pixel located at the row start end (# 48 No branch), there is continuity on the captured image frame of film 1 with the previous pixel of interest, Assuming that the previous emulsion pixel damage state of the target pixel is inherited by this target pixel, the previous emulsion pixel defect determination result of the target pixel is checked (# 50). If it is determined in this check that the previous pixel of interest is not an emulsion scratch (# 50 No branch), the current pixel of interest is also determined not to be an emulsion scratch, but the previous pixel of interest is determined to be an emulsion scratch. If so (# 50 Yes branch), it is determined that the current pixel of interest is also an emulsion scratch, and the position of this pixel of interest is recorded in the emulsion scratch map (# 47). In any case, the above-described emulsion scratch map creation processing from steps # 40 to # 50 is repeatedly executed until there is no pixel of interest to be designated (# 51).

  The preparation of the emulsion scratch determination conditions and the emulsion scratch determination processing using the emulsion scratch determination conditions are described in detail in paragraph Nos. 0085 to 0135 of Japanese Patent Application Laid-Open No. 2004-132743, which is described above. You can refer to it.

  In the description of the above embodiment, a color type film scanner has been exemplified. However, the present invention can also be applied to a monochrome type film scanner, and invisible light other than infrared light may be used for film scratch detection. Is possible.

  The present invention can be applied to a scratch-removing technique for removing the influence of film scratches from image data acquired by a film scanner.

External view of a photographic printing apparatus incorporating a film flaw correction processing unit employing an emulsion flaw judgment method according to the present invention Schematic configuration diagram of photo printing device Functional block diagram of controller Functional block diagram of the emulsion scratch determination module Scratch removal flowchart Flow chart showing the subroutine for emulsion scratch map creation processing A flowchart showing a normal pixel search subroutine in the region around the target pixel Explanatory drawing explaining the several outer periphery pixel group centering on an attention pixel

Explanation of symbols

3: Film scanner 6: Film flaw correction processing unit 34: Visible light sensor unit 35: Infrared light sensor unit 61: Pre-processing module 62: Base flaw removal module 63: Emulsion flaw determination module 63a: Pixel of interest designation unit 63b : Emulsion scratch candidate pixel determination unit 63c: normal pixel search unit 63d: emulsion scratch determination condition creation unit 63e: emulsion scratch pixel determination unit 63f: map recording unit 64: emulsion scratch removal module

Claims (5)

An emulsion that creates an emulsion scratch map that defines emulsion scratches that are affected by emulsion scratches in the photographic film based on image data composed of a large number of pixels acquired from an image recorded on the photographic film. In the wound determination method,
A pixel-of-interest specifying step for sequentially specifying a pixel of interest from the image data;
An emulsion scratch candidate pixel determining step for determining whether the pixel of interest is an emulsion scratch candidate pixel;
A normal pixel search step for searching for a normal pixel located in a peripheral region of the emulsion scratch candidate pixel determined in the emulsion scratch candidate pixel determination step;
When a normal pixel is detected in the normal pixel search step, it is determined whether the emulsion scratch candidate pixel is an emulsion scratch pixel using an emulsion scratch determination condition created based on the pixel value of the detected normal pixel, When normal pixels are not detected in the normal pixel search step, an emulsion scratch pixel determination step for performing emulsion scratch determination of the current target pixel based on the previous determination result of the target pixel;
A map recording step for writing the pixel position of the emulsion scratch pixel determined in the emulsion scratch pixel determination step in an emulsion scratch map;
A method for judging emulsion scratches.   When a normal pixel is not detected in the normal pixel search step, if the target pixel to be determined is an edge portion of image data, the target pixel is forcibly determined not to be an emulsion scratch. Item 4. The method for judging emulsion scratches according to Item 1. To create an emulsion scratch map that defines emulsion scratch pixels that are affected by emulsion scratches in the photographic film based on image data composed of a large number of pixels acquired from an image recorded on the photographic film. In addition,
A function of sequentially specifying a target pixel from the image data;
A function of determining whether the target pixel is an emulsion scratch candidate pixel;
A function for performing a normal pixel search process for searching for a normal pixel located in a peripheral area of the determined emulsion scratch candidate pixel;
When a normal pixel is detected in the normal pixel search process, it is determined whether the emulsion scratch candidate pixel is an emulsion scratch pixel using an emulsion scratch determination condition created based on the pixel value of the detected normal pixel, A function of performing emulsion scratch determination of the current pixel of interest based on the previous determination result of the target pixel when a normal pixel is not detected in the normal pixel search process;
A function of writing the determined pixel position of the emulsion scratch pixel to the emulsion scratch map;
Emulsion scratch detection program that causes a computer to execute. An emulsion that creates an emulsion scratch map that defines emulsion scratches that are affected by emulsion scratches in the photographic film based on image data composed of a large number of pixels acquired from an image recorded on the photographic film. In the wound determination system,
A pixel-of-interest specifying unit for sequentially skipping and specifying a pixel of interest at a predetermined pixel interval from the image data;
An emulsion scratch candidate pixel determining unit that determines whether the pixel of interest is an emulsion scratch candidate pixel;
A normal pixel search unit for searching for a normal pixel located in a peripheral region of the emulsion scratch candidate pixel determined by the emulsion scratch candidate pixel determination unit;
When the normal pixel is detected by the normal pixel search unit, it is determined whether the emulsion scratch candidate pixel is an emulsion scratch pixel using an emulsion scratch determination condition created based on the pixel value of the detected normal pixel, An emulsion scratch pixel determination unit that performs emulsion scratch determination of the current pixel of interest based on the previous determination result of the pixel of interest when a normal pixel is not detected by the normal pixel search unit;
A map recording unit that writes the pixel position of the emulsion scratch pixel determined by the emulsion scratch pixel determination unit in an emulsion scratch map;
Emulsion scratch detection system consisting of   If the normal pixel search unit does not detect a normal pixel, the emulsion scratch pixel determination unit forcibly determines that the target pixel is not an emulsion scratch if the target pixel to be determined is an edge portion of image data. The emulsion scratch determination system according to claim 4.

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