CN113256535B - Thermo-sensitive film imaging optimization method and device - Google Patents
Thermo-sensitive film imaging optimization method and device Download PDFInfo
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Abstract
The invention provides a thermo-sensitive film imaging optimization method and device, and relates to the technical field of image optimization. A thermo-chromatic film imaging optimization method, comprising the steps of: and printing and scanning the pre-acquired multiple standard contrast images respectively to obtain multiple scanned images. And respectively calculating any standard contrast diagram and a corresponding scanning image to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone scale homogenization scheme. And acquiring an uneven area in the image to be optimized. And acquiring scanning images corresponding to the standard contrast images respectively, calculating any standard contrast image and the corresponding scanning image, and establishing a plurality of homogenization schemes. And (3) according to the condition of the uneven area in the image to be optimized, a proper homogenization scheme is configured for processing, and the optimization processing of the image to be optimized is completed.
Description
Technical Field
The invention relates to the technical field of image optimization, in particular to a thermo-sensitive film imaging optimization method and device.
Background
The principle of the medical thermal printer is that the printing head contacts with the medical film through a printing unit arranged on the heating printing head, namely an electronic heating element of the printing head, under the condition of applying a certain pressure, the thermal coating film on the medical film is triggered to generate chemical reaction, and different gray scales are displayed according to different sensitization and development of heating time, temperature and pressure, so that a required image is printed.
The medical thermal printer is widely applied to hospitals, and brings great convenience for doctor diagnosis and patient preservation of image examination information and referral. Because medical film imaging is relevant to the health of a patient and the doctor accurately judges, high requirements are put on imaging quality. The thermal printer mechanism belongs to mechanical and electronic integration, the mechanical and electronic device is difficult to control the quality of film printing due to the constraint of the mechanical and electronic device, the quality of film printing is difficult to ensure through hardware equipment, so that the image printing is uneven, the film presents locally regular bright and dark color blocks or color bars, and the image needs to be optimized by software before printing.
Disclosure of Invention
The invention aims to provide a thermo-sensitive film imaging optimization method which can achieve the effect of optimizing images before printing the films and avoid the situation that the films present locally regular bright and dark color blocks or color bars due to uneven printing of the images.
Embodiments of the present invention are implemented as follows:
in a first aspect, embodiments of the present application provide a thermo-chromatic film imaging optimization method, which includes the steps of: and printing and scanning the pre-acquired multiple standard contrast images respectively to obtain multiple scanned images. And respectively calculating any standard contrast diagram and a corresponding scanning image to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone scale homogenization scheme. And acquiring an uneven area in the image to be optimized. According to the non-uniformization area, the configuration uses a uniformization scheme to process the non-uniformization area to obtain an optimized image.
In some embodiments of the present invention, the step of calculating any one of the standard contrast maps and the corresponding scanned image to establish a plurality of homogenization schemes includes: and carrying out difference value calculation on any standard contrast diagram and the corresponding scanning image to obtain a calculation result. And obtaining a corresponding homogenization scheme according to the calculation result and a predetermined tolerance value.
In some embodiments of the present invention, the formula for the difference calculation is: d (X, Y) =pstd (X, Y) -Pscan (X, Y) - (Ascan (X, Y) -Ascan (X, Y)), where D (X, Y) is a correction difference value, pstd (X, Y) is a gray scale value of a standard contrast chart, pscan (X, Y) is a gray scale value of a scanned image, ascan (X, Y) is an average gray scale value of the standard contrast chart, and Ascan (X, Y) is an average gray scale value of the scanned image.
In some embodiments of the present invention, the formula for obtaining the corresponding homogenization scheme according to the calculation result and the predetermined tolerance value is: if (D (X, Y) > Tolerance), diff (X, Y, tolerance) = (D (X, Y) -Tolerance); otherwise Diff (X, Y, tolerance) =0, where Diff (X, Y, tolerance) is the correction difference taking into account the Tolerance value, D (X, Y) is the correction difference, tolerance is the Tolerance gray scale value.
In some embodiments of the present invention, before the step of printing and scanning the plurality of standard contrast images acquired in advance to obtain a plurality of scanned images, the method further includes: and printing the pre-acquired standard comparison graphs respectively to obtain a plurality of printing results. And respectively scanning a plurality of printing results in a blocking mode to obtain a plurality of blocking images corresponding to different standard contrast pictures. And splicing the plurality of segmented images corresponding to any standard contrast image to obtain scanned images corresponding to different standard contrast images.
In some embodiments of the invention, the plurality of standard contrast maps includes a standard tone map and gray flakes.
In some embodiments of the present invention, after the step of processing the non-uniform region using the homogenization scheme to obtain the optimized image according to the non-uniform region, the method further includes: submitting the optimized image to a printer for printing.
In a second aspect, an embodiment of the present application provides a thermo-chromatic film imaging optimization apparatus, which includes a scanning module, configured to print and scan a plurality of standard contrast images acquired in advance, respectively, so as to obtain a plurality of scanned images. The homogenization scheme establishing module is used for respectively calculating any standard contrast diagram and a corresponding scanning image to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone homogenization scheme. And the uneven area acquisition module is used for acquiring uneven areas in the image to be optimized. And the processing module is used for processing the non-uniform area by using a homogenization scheme according to the non-uniform area so as to obtain an optimized image.
In some embodiments of the present invention, the homogenization scheme establishment module includes: and the calculating unit is used for carrying out difference value calculation on any standard contrast diagram and the corresponding scanning image so as to obtain a calculation result. And the homogenization scheme establishing unit is used for obtaining a corresponding homogenization scheme according to the calculation result and a predetermined tolerance value.
In some embodiments of the present invention, the formula for the difference calculation is: d (X, Y) =pstd (X, Y) -Pscan (X, Y) - (Ascan (X, Y) -Ascan (X, Y)). Wherein D (X, Y) is the correction difference, pstd (X, Y) is the gray scale value of the standard contrast chart, pscan (X, Y) is the gray scale value of the scanned image, astd (X, Y) is the average gray scale value of the standard contrast chart, and Ascan (X, Y) is the average gray scale value of the scanned image.
In some embodiments of the present invention, the formula of the homogenization scheme creation unit is: if (D (X, Y) > Tolerance), diff (X, Y, tolerance) = (D (X, Y) -Tolerance); otherwise Diff (X, Y, tolerance) =0, where Diff (X, Y, tolerance) is the correction difference taking into account the Tolerance value, D (X, Y) is the correction difference, tolerance is the Tolerance gray scale value.
In some embodiments of the present invention, the thermo-chromatic film imaging optimizing apparatus further includes: and the printing module is used for respectively printing the plurality of standard comparison pictures acquired in advance so as to obtain a plurality of printing results. And the scanning module is used for scanning the plurality of printing results in a blocking mode respectively so as to obtain a plurality of blocking images corresponding to different standard contrast pictures. And the splicing module is used for splicing the plurality of segmented images corresponding to any standard contrast image so as to obtain scanned images corresponding to different standard contrast images.
In some embodiments of the invention, the plurality of standard contrast maps includes a standard tone map and gray flakes.
In some embodiments of the present invention, the thermo-chromatic film imaging optimizing apparatus further includes: and the submitting module is used for submitting the optimized image to a printer for printing.
In a third aspect, embodiments of the present application provide an electronic device comprising a memory for storing one or more programs; a processor. The method of any of the first aspects described above is implemented when one or more programs are executed by a processor.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as in any of the first aspects described above.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides a thermo-sensitive film imaging optimization method and a thermo-sensitive film imaging optimization device, which comprise the following steps: and printing and scanning the pre-acquired multiple standard contrast images respectively to obtain multiple scanned images. And respectively calculating any standard contrast diagram and a corresponding scanning image to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone scale homogenization scheme. And acquiring an uneven area in the image to be optimized. Firstly, scanning images respectively corresponding to a plurality of standard contrast images are obtained, any standard contrast image and the corresponding scanning image are calculated, and a plurality of homogenization schemes are established. And then, selecting an uneven area in the image to be optimized, and performing processing according to a proper homogenization scheme in a targeted configuration mode according to the condition of the uneven area, so that the optimization processing of the image to be optimized is completed, namely, before the image is printed, the image is optimized through software, and therefore, the phenomenon that a film presents locally regular bright and dark color blocks or color bars due to uneven image printing is effectively avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a thermo-chromatic film imaging optimization method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a thermo-chromatic film imaging optimizing apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of adding a block image according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a scanned image according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of comparing an image to be optimized and an optimized image according to an embodiment of the present invention;
fig. 6 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-a thermo-sensitive film imaging optimizing device; 110-a scanning module; 120-a homogenization scheme establishment module; 130-an uneven area acquisition module; 140-a processing module; 101-memory; 102-a processor; 103-communication interface.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that, the terms "upper," "lower," "inner," "outer," and the like indicate an orientation or a positional relationship based on the orientation or the positional relationship shown in the drawings, or an orientation or a positional relationship conventionally put in use of the product of the application, merely for convenience of description and simplification of the description, and do not indicate or imply that the apparatus or element to be referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present application.
In the description of the present application, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The various embodiments and features of the embodiments described below may be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a flowchart of a thermo-chromatic film imaging optimization method according to an embodiment of the present application. The embodiment of the application provides a thermo-sensitive film imaging optimization method, which comprises the following steps:
s110: printing and scanning a plurality of standard contrast images acquired in advance respectively to obtain a plurality of scanned images;
specifically, the gray scale value of any standard contrast chart is obtained while a plurality of standard contrast charts are obtained, and a thermo-sensitive film printer is used for printing the plurality of standard contrast charts obtained in advance so as to obtain printing results respectively corresponding to the plurality of standard contrast charts. And then scanning the printing results by using a high-resolution wide-range professional scanner to obtain scanned images respectively corresponding to the standard contrast images.
S120: calculating any standard contrast diagram and a corresponding scanning image respectively to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone homogenization scheme;
specifically, a vertical homogenization scheme is obtained by calculating a vertical difference value between a vertical test gray plate and a corresponding scanning image and fusing an average gray scale value of the vertical test gray plate, an average gray scale value of the corresponding scanning image and a tolerance value. The horizontal homogenization scheme is obtained by calculating the horizontal difference value between the horizontal test gray patch and the corresponding scanning image and fusing the average gray level value of the horizontal test gray patch, the average gray level value of the corresponding scanning image and the tolerance value, and the color homogenization scheme is obtained by calculating the difference value between the standard color tone map and the corresponding scanning image through the partition and fusing the average gray level value of the standard color tone map, the average gray level value of the corresponding scanning image and the tolerance value.
S130: acquiring a non-uniformization area in an image to be optimized;
specifically, tools such as zoom-in, zoom-out, display scale, grid lines, region color extractor and the like provided on the interface are used for checking local non-uniformity of the image so as to obtain a non-uniform region in the image to be optimized.
S140: according to the non-uniformization area, the configuration uses a uniformization scheme to process the non-uniformization area to obtain an optimized image.
Specifically, according to the specific situation of the non-uniformization area, processing is performed by using a proper uniformization scheme, and then the non-uniformization area is optimized, so that an optimized image is obtained. For example, one or more homogenization schemes may be selected to optimize the non-homogenization area according to the actual situation of the non-homogenization area.
In the implementation process, after the non-uniform area in the image to be optimized is selected, a proper homogenization scheme is configured for processing according to the condition of the non-uniform area, so that the optimization processing of the image to be optimized is completed, namely, before the image is printed, the image is optimized through software, and therefore, the phenomenon that a film presents locally regular bright and dark color blocks or color bars due to the fact that the image is printed unevenly is effectively avoided.
In some implementations of the embodiments, the step of calculating each of the standard contrast maps and the corresponding scanned image to establish a plurality of homogenization schemes includes: and carrying out difference value calculation on any standard contrast diagram and the corresponding scanning image to obtain a calculation result. And obtaining a corresponding homogenization scheme according to the calculation result and a predetermined tolerance value. Specifically, when the standard contrast chart is a vertical test gray patch, a vertical difference value between the vertical test gray patch and the corresponding scanned image is calculated. And when the standard contrast diagram is a horizontal test gray sheet, calculating the horizontal difference value between the horizontal test gray sheet and the corresponding scanned image. When the standard contrast diagram is the standard tone scale diagram, the partition calculates the difference value between the standard tone scale diagram and the corresponding scanned image. In the process of calculating the difference value between any standard contrast image and the corresponding scanning image, the average gray scale value of the standard contrast image and the average gray scale value of the corresponding scanning image are considered, so that the influence of film quality and scanner scanning on calculation can be reduced to a certain extent. And the predetermined tolerance value provides a certain latitude for the homogenization scheme. Therefore, the homogenization scheme corresponding to any standard contrast diagram can be obtained through calculating the difference value between any standard contrast diagram and the corresponding scanned image and the predetermined tolerance value.
In some implementations of the embodiments, the formula for the difference calculation is: d (X, Y) =pstd (X, Y) -Pscan (X, Y) - (Ascan (X, Y) -Ascan (X, Y)). Wherein D (X, Y) is the correction difference, pstd (X, Y) is the gray scale value of the standard contrast chart, pscan (X, Y) is the gray scale value of the scanned image, astd (X, Y) is the average gray scale value of the standard contrast chart, and Ascan (X, Y) is the average gray scale value of the scanned image. The difference value calculation can be carried out on any standard contrast diagram and the corresponding scanning image through the formula, and the corresponding correction difference value is obtained. For example, the gray scale value of the vertical test gray scale sheet, the gray scale value of the corresponding scan image, the average gray scale value of the vertical test gray scale sheet, and the average gray scale value of the corresponding scan image are substituted into the above difference formula, so as to obtain the correction difference value of the vertical test gray scale sheet. Substituting the gray scale value of the horizontal test gray scale sheet, the gray scale value of the corresponding scanning image, the average gray scale value of the horizontal test gray scale sheet and the average gray scale value of the corresponding scanning image into the difference formula to obtain a correction difference value of the horizontal test gray scale sheet.
In some implementations of the embodiments, the formula for obtaining the corresponding homogenization scheme according to the calculation result and the predetermined tolerance value is: if (D (X, Y) > Tolerance), diff (X, Y, tolerance) = (D (X, Y) -Tolerance); otherwise Diff (X, Y, tolerance) =0, where Diff (X, Y, tolerance) is the correction difference taking into account the Tolerance value, D (X, Y) is the correction difference, tolerance is the Tolerance gray scale value. The correction difference value which is corresponding to any standard comparison chart and takes the tolerance value into consideration can be obtained through the formula. Illustratively, the correction difference value of the vertical test gray patch taking the tolerance value into consideration can be obtained by substituting the correction difference value of the vertical test gray patch and the predetermined tolerance value into the above formula. Substituting the correction difference value of the horizontal test gray piece and the predetermined tolerance value into the above formula can obtain the correction difference value of the horizontal test gray piece taking the tolerance value into consideration.
Referring to fig. 3 and fig. 4, fig. 3 is a schematic diagram of adding a block image according to an embodiment of the present application, and fig. 4 is a schematic diagram of a scan image according to an embodiment of the present application. Before the step of printing and scanning the pre-acquired plurality of standard contrast images to obtain a plurality of scanned images, the method further includes: and printing the pre-acquired standard comparison graphs respectively to obtain a plurality of printing results. And respectively scanning a plurality of printing results in a blocking mode to obtain a plurality of blocking images corresponding to different standard contrast pictures. And splicing the plurality of segmented images corresponding to any standard contrast image to obtain scanned images corresponding to different standard contrast images. Specifically, first, a thermo-chromatic film printer is used to print a plurality of standard contrast charts respectively, so as to obtain a plurality of printing results. When the film size of the print result is too large, the print result is subjected to block scanning to obtain a plurality of block images. And then splicing the plurality of segmented images to obtain a scanning image corresponding to the standard contrast image. Namely, the scanning image corresponding to any standard contrast diagram can be obtained through the steps.
In some implementations of the examples, the plurality of standard contrast maps includes a standard tone scale map and a gray scale. Specifically, the standard tone map may include several different standard tone maps, and the gray scale may include a vertical test gray scale and a horizontal test gray scale.
In some implementations of the embodiments, after the step of processing the non-uniform region using the homogenization scheme to obtain the optimized image according to the non-uniform region configuration, the method further includes: submitting the optimized image to a printer for printing. Therefore, the user can obtain the film with optimized images, and the probability of local regular bright and dark color blocks or color bars of the obtained film can be greatly reduced due to homogenization treatment.
When the above method is used for homogenizing a certain observation point, a straight line in the axial direction and a straight line in the longitudinal direction are selected as areas for homogenizing by taking the observation point as the center, and then an appropriate homogenizing scheme is selected for homogenizing according to the non-homogenizing condition of the straight line in the axial direction and the straight line in the longitudinal direction.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating comparison between an image to be optimized and an optimized image according to an embodiment of the present invention. The left side of the figure shows the image to be optimized, and the right side of the figure shows the optimized image.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a thermo-chromatic film imaging optimizing apparatus 100 according to an embodiment of the present application. The embodiment of the application provides a thermo-sensitive film imaging optimizing device 100, which comprises a scanning module 110 for respectively printing and scanning a plurality of standard contrast images acquired in advance to obtain a plurality of scanned images. The homogenization scheme establishing module 120 is configured to calculate any standard contrast chart and a corresponding scanned image respectively to establish a plurality of homogenization schemes, where the plurality of homogenization schemes at least includes a vertical homogenization scheme, a horizontal homogenization scheme, and a tone scale homogenization scheme. The non-uniform region acquiring module 130 is configured to acquire a non-uniform region in the image to be optimized. A processing module 140, configured to process the non-uniform region using a homogenization scheme according to the non-uniform region to obtain an optimized image. In the implementation process, firstly, a scanning module 110 is used to obtain scanned images corresponding to a plurality of standard contrast images, then a homogenization scheme building module 120 is used to build a plurality of homogenization schemes, and then an uneven region obtaining module 130 is used to obtain uneven regions in the image to be optimized. Finally, the processing module 140 performs processing according to a proper homogenization scheme in a targeted configuration according to the condition of the uneven area, and completes optimization processing of the image to be optimized, namely, before the image is printed, the image is optimized through software, so that the phenomenon that the film presents locally regular bright and dark color blocks or color bars due to uneven image printing is effectively avoided.
In some implementations of the embodiments, the homogenization scheme establishment module 120 includes: and the calculating unit is used for carrying out difference value calculation on any standard contrast diagram and the corresponding scanning image so as to obtain a calculation result. And the homogenization scheme establishing unit is used for obtaining a corresponding homogenization scheme according to the calculation result and a predetermined tolerance value. In the process of calculating the difference value between any standard contrast image and the corresponding scanning image, the average gray scale value of the standard contrast image and the average gray scale value of the corresponding scanning image are considered, so that the influence of film quality and scanner scanning on calculation can be reduced to a certain extent. And the predetermined tolerance value provides a certain latitude for the homogenization scheme. Therefore, the homogenization scheme corresponding to any standard contrast diagram can be obtained through calculating the difference value between any standard contrast diagram and the corresponding scanned image and the predetermined tolerance value.
In some implementations of the embodiments, the formula for the difference calculation is: d (X, Y) =pstd (X, Y) -Pscan (X, Y) - (Ascan (X, Y) -Ascan (X, Y)). Wherein D (X, Y) is the correction difference, pstd (X, Y) is the gray scale value of the standard contrast chart, pscan (X, Y) is the gray scale value of the scanned image, astd (X, Y) is the average gray scale value of the standard contrast chart, and Ascan (X, Y) is the average gray scale value of the scanned image. For example, the gray scale value of the vertical test gray scale sheet, the gray scale value of the corresponding scan image, the average gray scale value of the vertical test gray scale sheet, and the average gray scale value of the corresponding scan image are substituted into the above difference formula, so as to obtain the correction difference value of the vertical test gray scale sheet. Substituting the gray scale value of the horizontal test gray scale sheet, the gray scale value of the corresponding scanning image, the average gray scale value of the horizontal test gray scale sheet and the average gray scale value of the corresponding scanning image into the difference formula to obtain a correction difference value of the horizontal test gray scale sheet.
In some implementations of the embodiments, the formula of the homogenization scheme creation unit is: if (D (X, Y) > Tolerance), diff (X, Y, tolerance) = (D (X, Y) -Tolerance); otherwise Diff (X, Y, tolerance) =0. Wherein Diff (X, Y, tolerance) is a correction difference taking into account the Tolerance value, D (X, Y) is a correction difference, tolerance is a Tolerance gray scale value. Illustratively, the correction difference value of the vertical test gray patch taking the tolerance value into consideration can be obtained by substituting the correction difference value of the vertical test gray patch and the predetermined tolerance value into the above formula. Substituting the correction difference value of the horizontal test gray piece and the predetermined tolerance value into the above formula can obtain the correction difference value of the horizontal test gray piece taking the tolerance value into consideration.
In some implementations of the embodiment, the thermo-chromatic film imaging optimizing apparatus 100 further includes: and the printing module is used for respectively printing the plurality of standard comparison pictures acquired in advance so as to obtain a plurality of printing results. The scanning module 110 is configured to scan the plurality of printing results in blocks respectively to obtain a plurality of block images corresponding to different standard contrast charts. And the splicing module is used for splicing the plurality of segmented images corresponding to any standard contrast image so as to obtain scanned images corresponding to different standard contrast images. Specifically, first, a printing result respectively corresponding to a plurality of standard contrast images is obtained through a printing module, then a plurality of block images respectively corresponding to different standard contrast images are obtained through a scanning module 110, and finally a scanning image respectively corresponding to the plurality of standard contrast images is obtained through a splicing module. Namely, the printing module, the scanning module 110 and the splicing module can obtain scanning images respectively corresponding to a plurality of standard contrast images.
In some implementations of the examples, the plurality of standard contrast maps includes a standard tone scale map and a gray scale. The standard tone map may include several different standard tone maps, and the gray scale may include a vertical test gray scale and a horizontal test gray scale.
In some implementations of the embodiment, the thermo-chromatic film imaging optimizing apparatus 100 further includes: and the submitting module is used for submitting the optimized image to a printer for printing. Specifically, the optimized image is submitted to the printer by the submit module so that the printer will print. The user can obtain the film with optimized image, and the probability of local regular bright and dark color blocks or color bars of the obtained film can be greatly reduced due to homogenization treatment.
Referring to fig. 6, fig. 6 is a schematic block diagram of an electronic device according to an embodiment of the present application. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected with each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the thermo-chromatic film imaging optimizing apparatus 100 provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, thereby performing various functional applications and data processing. The communication interface 103 may be used for communication of signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a random access Memory 101 (Random Access Memory, RAM), a Read Only Memory 101 (ROM), a programmable Read Only Memory 101 (Programmable Read-Only Memory, PROM), an erasable Read Only Memory 101 (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory 101 (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 may be a general purpose processor 102, including a central processor 102 (Central Processing Unit, CPU), a network processor 102 (Network Processor, NP), etc.; but may also be a digital signal processor 102 (Digital Signal Processing, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative, and that the electronic device may also include more or fewer components than shown in fig. 3, or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners as well. The apparatus embodiments described above are merely illustrative, for example, flow diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a random access Memory 101 (RAM, random Access Memory), a magnetic disk or an optical disk, or other various media capable of storing program codes.
In summary, the method and device for optimizing the imaging of the thermo-chromatic film provided in the embodiments of the present application include the following steps: and printing and scanning the pre-acquired multiple standard contrast images respectively to obtain multiple scanned images. And respectively calculating any standard contrast diagram and a corresponding scanning image to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone scale homogenization scheme. And acquiring an uneven area in the image to be optimized. Firstly, scanning images respectively corresponding to a plurality of standard contrast images are obtained, any standard contrast image and the corresponding scanning image are calculated, and a plurality of homogenization schemes are established. And then, selecting an uneven area in the image to be optimized, and performing processing according to a proper homogenization scheme in a targeted configuration mode according to the condition of the uneven area, so that the optimization processing of the image to be optimized is completed, namely, before the image is printed, the image is optimized through software, and therefore, the phenomenon that a film presents locally regular bright and dark color blocks or color bars due to uneven image printing is effectively avoided.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (4)
1. A thermo-chromatic film imaging optimization method, comprising the steps of:
printing and scanning a plurality of standard contrast images acquired in advance respectively to obtain a plurality of scanned images;
calculating any standard contrast diagram and a corresponding scanning image respectively to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone homogenization scheme;
acquiring a non-uniformization area in an image to be optimized; specifically, using an enlargement, reduction, display scale, grid lines and a region color extractor tool provided on the interface to check local non-uniformity of the image so as to obtain a non-uniform region in the image to be optimized;
according to the non-uniform area, configuring and processing the non-uniform area by using a uniform scheme to obtain an optimized image, and submitting the optimized image to a printer for printing; specifically, when homogenizing a certain observation point in the non-homogenizing area, selecting a straight line in the axial direction and a straight line in the longitudinal direction as the homogenizing area by taking the observation point as the center, and then selecting one of a vertical homogenizing scheme, a horizontal homogenizing scheme and a tone level homogenizing scheme according to the non-homogenizing condition of the straight line in the axial direction and the straight line in the longitudinal direction for homogenizing;
the step of calculating any one of the standard contrast images and the corresponding scanned image to establish a plurality of homogenization schemes includes:
performing difference calculation on any standard contrast graph and the corresponding scanning image to obtain a calculation result;
obtaining a corresponding homogenization scheme according to the calculation result and a predetermined tolerance value;
when the standard contrast diagram is a vertical test gray sheet, calculating the vertical difference value of the vertical test gray sheet and the corresponding scanning image, when the standard contrast diagram is a horizontal test gray sheet, calculating the horizontal difference value of the horizontal test gray sheet and the corresponding scanning image, and when the standard contrast diagram is a standard tone diagram, calculating the difference value of the standard tone diagram and the corresponding scanning image in a partition mode;
the formula of the difference value calculation is as follows: d (X, Y) =pstd (X, Y) -Pscan (X, Y) - (Ascan (X, Y) -Ascan (X, Y));
wherein D (X, Y) is a correction difference value, pstd (X, Y) is a gray scale value of a standard contrast image, pscan (X, Y) is a gray scale value of a scanned image, astd (X, Y) is an average gray scale value of the standard contrast image, and Ascan (X, Y) is an average gray scale value of the scanned image;
according to the calculation result and a predetermined tolerance value, a formula corresponding to the homogenization scheme is obtained as follows: if (D (X, Y) > Tolerance), diff (X, Y, tolerance) = (D (X, Y) -Tolerance); otherwise Diff (X, Y, tolerance) =0;
wherein Diff (X, Y, tolerance) is a correction difference taking into account the Tolerance value, D (X, Y) is a correction difference, tolerance is a Tolerance gray scale value.
2. A thermo-chromatic film imaging optimizing apparatus, comprising:
the scanning module is used for printing and scanning the pre-acquired standard contrast images to obtain a plurality of scanned images;
the homogenization scheme establishing module is used for respectively calculating any standard contrast diagram and a corresponding scanning image to establish a plurality of homogenization schemes, wherein the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a tone homogenization scheme; performing difference calculation on any standard contrast graph and the corresponding scanning image to obtain a calculation result; obtaining a corresponding homogenization scheme according to the calculation result and a predetermined tolerance value; when the standard contrast diagram is a vertical test gray sheet, calculating the vertical difference value of the vertical test gray sheet and the corresponding scanning image, when the standard contrast diagram is a horizontal test gray sheet, calculating the horizontal difference value of the horizontal test gray sheet and the corresponding scanning image, and when the standard contrast diagram is a standard tone diagram, calculating the difference value of the standard tone diagram and the corresponding scanning image in a partition mode; the formula of the difference value calculation is as follows: d (X, Y) =pstd (X, Y) -Pscan (X, Y) - (Ascan (X, Y) -Ascan (X, Y)); wherein D (X, Y) is a correction difference value, pstd (X, Y) is a gray scale value of a standard contrast image, pscan (X, Y) is a gray scale value of a scanned image, astd (X, Y) is an average gray scale value of the standard contrast image, and Ascan (X, Y) is an average gray scale value of the scanned image; according to the calculation result and a predetermined tolerance value, a formula corresponding to the homogenization scheme is obtained as follows: if (D (X, Y) > Tolerance), diff (X, Y, tolerance) = (D (X, Y) -Tolerance); otherwise Diff (X, Y, tolerance) =0; wherein Diff (X, Y, tolerance) is a correction difference taking into account the Tolerance value, D (X, Y) is a correction difference, tolerance is a Tolerance gray scale value;
the uneven region acquisition module is used for acquiring uneven regions in the image to be optimized; specifically, using an enlargement, reduction, display scale, grid lines and a region color extractor tool provided on the interface to check local non-uniformity of the image so as to obtain a non-uniform region in the image to be optimized;
a processing module configured to process the non-uniform region using a homogenization scheme according to the non-uniform region to obtain an optimized image; according to the non-uniform area, configuring and processing the non-uniform area by using a uniform scheme to obtain an optimized image, and submitting the optimized image to a printer for printing; specifically, when a certain observation point is homogenized in the non-homogenizing region, a straight line in the axial direction and a straight line in the longitudinal direction are selected as regions for homogenizing with the observation point as the center, and then one of the vertical homogenizing scheme, the horizontal homogenizing scheme and the tone level homogenizing scheme is selected to perform homogenizing according to the non-homogenizing condition of the straight line in the axial direction and the straight line in the longitudinal direction.
3. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the method of claim 1 is implemented when the one or more programs are executed by the processor.
4. A computer readable storage medium, on which a computer program is stored which, when being executed by a processor, implements the method according to claim 1.
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