CN113256535A - Thermal sensitive film imaging optimization method and device - Google Patents
Thermal sensitive film imaging optimization method and device Download PDFInfo
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Abstract
The invention provides a thermal sensitive film imaging optimization method and device, and relates to the technical field of image optimization. A method for optimizing thermal film imaging comprising the steps of: and respectively printing and scanning the plurality of standard contrast images acquired in advance to obtain a plurality of scanned images. And respectively calculating any standard contrast map and the corresponding scanned 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 color level homogenization scheme. And acquiring a non-uniform area in the image to be optimized. And acquiring scanning images corresponding to the plurality of standard contrast images, calculating any standard contrast image and the corresponding scanning image, and establishing a plurality of homogenization schemes. And according to the condition of the uneven area in the image to be optimized, a proper homogenization scheme is pertinently 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 method and a device for optimizing imaging of a thermal sensitive film.
Background
The principle of the medical thermal printer is that a printing head contacts a medical film by heating a printing unit arranged on the printing head, namely an electronic heating element of the printing head, under the condition of applying certain pressure, a thermal sensitive coating on the medical film is triggered to generate chemical reaction, different gray scales are displayed by different photoreception and development according to heating time, temperature and pressure, and a required image is printed.
The medical thermal printer is widely applied to hospitals, and brings great convenience for doctor diagnosis, patient image examination information reservation and referral. As medical film imaging concerns the physical health of patients and doctors accurately judge, higher requirements are put forward on imaging quality. The thermal printer mechanism belongs to mechano-electronic integration, the mechano-electronic device is difficult to control the printing quality of the film due to the self constraint, the printing quality of the film is difficult to ensure through hardware equipment, so that the image is printed unevenly, the film presents local regular bright and dark color blocks or color strips, and the image needs to be optimized by using software before printing.
Disclosure of Invention
The invention aims to provide an imaging optimization method of a thermal sensitive film, which can achieve the effect of optimizing images before the film is printed and avoid the film from presenting local regular bright and dark color blocks or color strips due to uneven image printing.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a method for optimizing thermal film imaging, which includes the following steps: and respectively printing and scanning the plurality of standard contrast images acquired in advance to obtain a plurality of scanned images. And respectively calculating any standard contrast map and the corresponding scanned 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 color level homogenization scheme. And acquiring a non-uniform area in the image to be optimized. And configuring to process 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 step of calculating any standard contrast map and the corresponding scanned image respectively to establish a plurality of homogenization schemes includes: and performing difference calculation on any standard contrast image and the corresponding scanned image to obtain a calculation result. And obtaining a corresponding homogenization scheme according to the calculation result and the predetermined tolerance value.
In some embodiments of the present invention, the formula of the difference calculation is: d (X, Y) ═ Pstd (X, Y) -Pscan (X, Y) - (Astd (X, Y) -Ascan (X, Y)), where D (X, Y) is a correction difference value, Pstd (X, Y) is a gray scale value of the standard contrast chart, Pscan (X, Y) is a gray scale value of the scanned image, Astd (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 solution according to the calculation result and the predetermined tolerance value is as follows: diff (X, Y, Tolerance) ═ D (X, Y) -Tolerance if (D (X, Y) > Tolerance); otherwise, Diff (X, Y, Tolerance) is 0, where Diff (X, Y, Tolerance) is a correction difference value taking into account a Tolerance value, D (X, Y) is a correction difference value, and Tolerance is a Tolerance gray-scale value.
In some embodiments of the present invention, before the step of printing and scanning the plurality of standard contrast maps respectively acquired in advance to obtain the plurality of scanned images, the method further includes: and respectively printing a plurality of standard contrast maps acquired in advance 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 maps. And splicing the plurality of block images corresponding to any standard contrast image to obtain the scanning images corresponding to different standard contrast images.
In some embodiments of the present invention, the plurality of standard contrast maps comprises a standard tone scale map and a gray patch.
In some embodiments of the present invention, after the step of processing the non-uniform region using the uniformization scheme to obtain the optimized image is configured according to the non-uniform region, the method further includes: and submitting the optimized image to a printer for printing.
In a second aspect, an embodiment of the present application provides a thermal film imaging optimization apparatus, which includes a scanning module configured to print and scan a plurality of standard contrast maps acquired in advance respectively to obtain a plurality of scanned images. And the homogenization scheme establishing module is used for respectively calculating any standard contrast map and the corresponding scanned image so as to establish a plurality of homogenization schemes, and the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a color level homogenization scheme. And the uneven area acquisition module is used for acquiring an uneven area in the image to be optimized. And the processing module is used for configuring and using a homogenization scheme to process the uneven area according to the uneven area so as to obtain an optimized image.
In some embodiments of the present invention, the homogenization scheme establishing module includes: and the calculating unit is used for calculating the difference value between any standard contrast image and the corresponding scanned image 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 the predetermined tolerance value.
In some embodiments of the present invention, the formula of the difference calculation is: d (X, Y) ═ Pstd (X, Y) -Pscan (X, Y) - (Astd (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 map, 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 map, 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 establishing unit is: diff (X, Y, Tolerance) ═ D (X, Y) -Tolerance if (D (X, Y) > Tolerance); otherwise, Diff (X, Y, Tolerance) is 0, where Diff (X, Y, Tolerance) is a correction difference value taking into account a Tolerance value, D (X, Y) is a correction difference value, and Tolerance is a Tolerance gray-scale value.
In some embodiments of the present invention, the above-mentioned thermo-chromatic film imaging optimizing apparatus further comprises: and the printing module is used for respectively printing the plurality of standard comparison graphs acquired in advance to obtain a plurality of printing results. And the scanning module is used for respectively scanning the plurality of printing results in a blocking manner so as to obtain a plurality of blocking images corresponding to different standard comparison graphs. And the splicing module is used for splicing the plurality of block images corresponding to any standard contrast image to obtain the scanning images corresponding to different standard contrast images.
In some embodiments of the present invention, the plurality of standard contrast maps comprises a standard tone scale map and a gray patch.
In some embodiments of the present invention, the above-mentioned thermo-chromatic film imaging optimizing apparatus further comprises: and the submitting module is used for submitting the optimized image to a printer for printing.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect 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 thermal sensitive film imaging optimization method and a device, comprising the following steps: and respectively printing and scanning the plurality of standard contrast images acquired in advance to obtain a plurality of scanned images. And respectively calculating any standard contrast map and the corresponding scanned 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 color level homogenization scheme. And acquiring a non-uniform area in the image to be optimized. Firstly, scanning images corresponding to a plurality of standard contrast maps are obtained, then any standard contrast map and the corresponding scanning image are calculated, and a plurality of homogenization schemes are established. Then selecting an uneven area in the image to be optimized, and configuring a proper homogenization scheme for processing according to the condition of the uneven area, thereby completing the optimization processing of the image to be optimized, namely, before the image is printed, optimizing the image through software, and effectively avoiding the phenomenon that the film presents local regular bright and dark color blocks or color stripes due to uneven image printing.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a method for optimizing thermal film imaging according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a thermal film imaging optimization apparatus according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating adding a blocking 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 illustrating a comparison between an image to be optimized and an optimized image according to an embodiment of the present invention;
fig. 6 is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-thermal film imaging optimization means; 110-a scanning module; 120-homogenization scheme establishment module; 130-uneven area acquisition module; 140-a processing module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in 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 obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical 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 orientations or positional relationships based on orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally found in use of products of the application, and are used only for convenience in describing the present application and for simplification of description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present application.
In the description of the present application, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "disposed" and "connected" are to be interpreted broadly, e.g., as being either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for optimizing thermal film imaging according to an embodiment of the present disclosure. The embodiment of the application provides a thermal sensitive film imaging optimization method, which comprises the following steps:
s110: respectively printing and scanning a plurality of standard comparison images acquired in advance to obtain a plurality of scanned images;
specifically, a plurality of standard contrast maps are acquired, a gray scale value of any standard contrast map is acquired, and a thermal sensitive film printer is used for printing the plurality of standard contrast maps acquired in advance to obtain printing results corresponding to the plurality of standard contrast maps respectively. And then scanning the plurality of printing results by using a high-resolution wide-format professional scanner to obtain scanning images corresponding to the plurality of standard contrast maps respectively.
S120: respectively calculating any standard contrast image and the corresponding scanned 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 color level homogenization scheme;
specifically, a vertical homogenization scheme is obtained by calculating a vertical difference value between a vertical test gray scale and a corresponding scanned image, and fusing an average gray scale value of the vertical test gray scale, an average gray scale value of the corresponding scanned image, and a tolerance value. The method comprises the steps of calculating a horizontal difference value between a horizontal test gray sheet and a corresponding scanning image, fusing an average gray level value of the horizontal test gray sheet, an average gray level value of the corresponding scanning image and a tolerance value to obtain a horizontal homogenization scheme, calculating a difference value between a standard color gradation map and the corresponding scanning image through partitioning, and fusing the average gray level value of the standard color gradation map, the average gray level value of the corresponding scanning image and the tolerance value to obtain the color gradation homogenization scheme.
S130: acquiring an ununiform area in an image to be optimized;
specifically, the local unevenness of the image is checked by using tools such as a zoom-in tool, a zoom-out tool, a display scale tool, a grid line tool, a region color extractor and the like provided on the interface, so as to obtain an uneven region in the image to be optimized.
S140: and configuring to process the non-uniform area by using a homogenization scheme according to the non-uniform area so as to obtain an optimized image.
Specifically, according to the specific situation of the non-uniform area, the configuration uses a proper homogenization scheme for processing, and then the non-uniform area is optimized, so that an optimized image is obtained. Illustratively, one or more homogenization schemes can be selected to optimize the non-uniform area according to the actual situation of the non-uniform area.
In the implementation process, after the non-uniform area in the image to be optimized is selected, a proper homogenization scheme is configured according to the condition of the non-uniform area for processing, so that the optimization processing of the image to be optimized is completed, namely, the image is optimized through software before the image is printed, and therefore the phenomenon that the film presents local regular bright and dark color blocks or color strips due to non-uniform image printing is effectively avoided.
In some embodiments of the embodiments, the step of calculating any standard contrast map and the corresponding scanned image to establish a plurality of homogenization schemes comprises: and performing difference calculation on any standard contrast image and the corresponding scanned image to obtain a calculation result. And obtaining a corresponding homogenization scheme according to the calculation result and the predetermined tolerance value. Specifically, when the standard contrast map is a vertical test gray patch, a vertical difference between the vertical test gray patch and the corresponding scanned image is calculated. And when the standard comparison image is a horizontal test gray sheet, calculating the horizontal difference value of the horizontal test gray sheet and the corresponding scanning image. When the standard contrast image is a standard color gradation image, the difference value between the standard color gradation image and the corresponding scanned image is calculated by partition. In the process of calculating the difference value between any standard contrast image and the corresponding scanned image, the average gray scale value of the standard contrast image and the average gray scale value of the corresponding scanned image are considered, so that the influence of the film quality and the scanner scanning on the calculation can be reduced to a certain extent. And the predetermined tolerance value provides a certain degree of latitude for the homogenization scheme. Therefore, the homogenization scheme corresponding to any standard contrast map can be obtained by calculating the difference value between any standard contrast map and the corresponding scanned image and the predetermined tolerance value.
In some embodiments of the embodiments, the above formula for the difference calculation is: d (X, Y) ═ Pstd (X, Y) -Pscan (X, Y) - (Astd (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 map, 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 map, 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 image and the corresponding scanned image through the formula to obtain the corresponding correction difference value. For example, the gray scale value of the vertical test gray scale, the gray scale value of the corresponding scan image, the average gray scale value of the vertical test gray scale, and the average gray scale value of the corresponding scan image are substituted into the difference formula, so as to obtain the correction difference of the vertical test gray scale. And substituting the gray scale value of the horizontal test gray scale, the gray scale value of the corresponding scanning image, the average gray scale value of the horizontal test gray scale and the average gray scale value of the corresponding scanning image into the difference value formula to obtain the correction difference value of the horizontal test gray scale.
In some embodiments of the embodiments, the formula for obtaining the corresponding homogenization solution according to the calculation result and the predetermined tolerance value is as follows: diff (X, Y, Tolerance) ═ D (X, Y) -Tolerance if (D (X, Y) > Tolerance); otherwise, Diff (X, Y, Tolerance) is 0, where Diff (X, Y, Tolerance) is a correction difference value taking into account a Tolerance value, D (X, Y) is a correction difference value, and Tolerance is a Tolerance gray-scale value. The correction difference value corresponding to any standard contrast diagram and considering the tolerance value can be obtained through the formula. Illustratively, the corrected difference value of the vertical test gray piece in consideration of the tolerance value can be obtained by substituting the corrected difference value of the vertical test gray piece and the predetermined tolerance value into the above formula. The corrected difference value of the horizontal test gray sheet and the predetermined tolerance value are substituted into the formula, and the corrected difference value of the horizontal test gray sheet considering the tolerance value can be obtained.
Referring to fig. 3 and fig. 4, fig. 3 is a schematic diagram of an image with added blocks according to an embodiment of the present disclosure, and fig. 4 is a schematic diagram of a scanned image according to an embodiment of the present disclosure. Before the step of printing and scanning the plurality of standard contrast maps respectively acquired in advance to obtain the plurality of scanned images, the method further includes: and respectively printing a plurality of standard contrast maps acquired in advance 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 maps. And splicing the plurality of block images corresponding to any standard contrast image to obtain the scanning images corresponding to different standard contrast images. Specifically, a plurality of standard contrast charts are first printed using a thermal film printer, respectively, to obtain a plurality of print results. When the film size of the printing result is too large, the printing result needs to be scanned in blocks to obtain a plurality of block images. And then splicing the plurality of block images to obtain a scanning image corresponding to the standard contrast image. Namely, the scanning image corresponding to any standard contrast map can be obtained through the steps.
In some implementations of the embodiment, the plurality of standard contrast maps includes a standard tone scale map and a gray patch. Specifically, the standard color level chart may include several different standard color level charts, and the gray patches may include a vertical test gray patch and a horizontal test gray patch.
In some embodiments of the embodiments, after the step of processing the non-uniform region using the uniformization scheme to obtain the optimized image is configured according to the non-uniform region, the method further comprises: and submitting the optimized image to a printer for printing. Therefore, a user can obtain the film with the optimized image, and the probability of local regular bright and dark color blocks or color stripes of the film can be greatly reduced due to the homogenization treatment of the obtained film.
When the method is used for carrying out homogenization treatment on a certain observation point, a straight line in the axial direction and a straight line in the longitudinal direction are selected as areas for carrying out homogenization treatment by taking the observation point as the center, and then an appropriate homogenization scheme is selected according to the non-uniformity condition of the straight line in the axial direction and the straight line in the longitudinal direction for carrying out homogenization treatment.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating a comparison between an image to be optimized and an optimized image according to an embodiment of the present invention. The image to be optimized is shown on the left side of the figure and the optimized image is shown on the right side of the figure.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a thermal film imaging optimization apparatus 100 according to an embodiment of the present disclosure. The embodiment of the present application provides a thermal film imaging optimization apparatus 100, which includes a scanning module 110 for respectively printing and scanning a plurality of standard contrast maps acquired in advance to obtain a plurality of scanned images. A homogenization scheme creating module 120, configured to calculate each standard contrast map and the corresponding scanned image respectively, so as to create a plurality of homogenization schemes, where the homogenization schemes at least include a vertical homogenization scheme, a horizontal homogenization scheme, and a color level homogenization scheme. An uneven area obtaining module 130, configured to obtain an uneven area in the image to be optimized. And 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, the scanning module 110 first obtains scanning images corresponding to a plurality of standard contrast maps, the homogenization scheme establishing module 120 then establishes a plurality of homogenization schemes, and the non-uniform region obtaining module 130 then obtains non-uniform regions in the image to be optimized. Finally, the processing module 140 performs processing by configuring a suitable homogenization scheme according to the condition of the non-uniform area, and completes the optimization processing of the image to be optimized, that is, before the image is printed, the image is optimized through software, thereby effectively avoiding the film from presenting local regular bright and dark color blocks or color stripes due to the non-uniform image printing.
In some embodiments, the homogenization scheme establishing module 120 includes: and the calculating unit is used for calculating the difference value between any standard contrast image and the corresponding scanned image 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 the predetermined tolerance value. In the process of calculating the difference value between any standard contrast image and the corresponding scanned image, the average gray-scale value of the standard contrast image and the average gray-scale value of the corresponding scanned image are considered, so that the influence of the film quality and the scanner scanning on the calculation can be reduced to a certain extent. And the predetermined tolerance value provides a certain degree of latitude for the homogenization scheme. Therefore, the homogenization scheme corresponding to any standard contrast map can be obtained by calculating the difference value between any standard contrast map and the corresponding scanned image and the predetermined tolerance value.
In some embodiments of the embodiments, the above formula for the difference calculation is: d (X, Y) ═ Pstd (X, Y) -Pscan (X, Y) - (Astd (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 map, 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 map, 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, the gray scale value of the corresponding scan image, the average gray scale value of the vertical test gray scale, and the average gray scale value of the corresponding scan image are substituted into the difference formula, so as to obtain the correction difference of the vertical test gray scale. And substituting the gray scale value of the horizontal test gray scale, the gray scale value of the corresponding scanning image, the average gray scale value of the horizontal test gray scale and the average gray scale value of the corresponding scanning image into the difference value formula to obtain the correction difference value of the horizontal test gray scale.
In some embodiments of the embodiments, the formula of the homogenization scheme establishing unit is as follows: diff (X, Y, Tolerance) ═ D (X, Y) -Tolerance if (D (X, Y) > Tolerance); otherwise Diff (X, Y, Tolerance) is 0. Wherein, Diff (X, Y, Tolerance) is a correction difference value considering the Tolerance value, D (X, Y) is a correction difference value, and Tolerance is a Tolerance gray level value. Illustratively, the corrected difference value of the vertical test gray piece in consideration of the tolerance value can be obtained by substituting the corrected difference value of the vertical test gray piece and the predetermined tolerance value into the above formula. The corrected difference value of the horizontal test gray sheet and the predetermined tolerance value are substituted into the formula, and the corrected difference value of the horizontal test gray sheet considering the tolerance value can be obtained.
In some implementations of embodiments, the above-described thermographic film imaging optimization device 100 further comprises: and the printing module is used for respectively printing the plurality of standard comparison graphs acquired in advance to obtain a plurality of printing results. And a scanning module 110, configured to respectively scan the multiple printing results in blocks to obtain multiple block images corresponding to different standard contrast maps. And the splicing module is used for splicing the plurality of block images corresponding to any standard contrast image to obtain the scanning images corresponding to different standard contrast images. Specifically, first, the printing module obtains printing results corresponding to the plurality of standard contrast maps, then the scanning module 110 obtains a plurality of block images corresponding to different standard contrast maps, and finally the stitching module obtains scanned images corresponding to the plurality of standard contrast maps. Namely, the printing module, the scanning module 110 and the stitching module can obtain the scanned images corresponding to the plurality of standard contrast maps respectively.
In some implementations of the embodiment, the plurality of standard contrast maps includes a standard tone scale map and a gray patch. The standard tone scale map may include several different standard tone scale maps, and the gray patches may include a vertical test gray patch and a horizontal test gray patch.
In some implementations of embodiments, the above-described thermographic film imaging optimization device 100 further comprises: 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 images, and the probability of local regular bright and dark color blocks or color stripes of the film can be greatly reduced due to the homogenization treatment of the obtained film.
Referring to fig. 6, fig. 6 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. 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 to 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 for storing software programs and modules, such as program instructions/modules corresponding to the thermal film imaging optimization 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 executing various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a 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 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 ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart 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, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent 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 or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to 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), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the method and apparatus for optimizing thermal sensitive film imaging provided by the embodiments of the present application includes the following steps: and respectively printing and scanning the plurality of standard contrast images acquired in advance to obtain a plurality of scanned images. And respectively calculating any standard contrast map and the corresponding scanned 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 color level homogenization scheme. And acquiring a non-uniform area in the image to be optimized. Firstly, scanning images corresponding to a plurality of standard contrast maps are obtained, then any standard contrast map and the corresponding scanning image are calculated, and a plurality of homogenization schemes are established. Then selecting an uneven area in the image to be optimized, and configuring a proper homogenization scheme for processing according to the condition of the uneven area, thereby completing the optimization processing of the image to be optimized, namely, before the image is printed, optimizing the image through software, and effectively avoiding the phenomenon that the film presents local regular bright and dark color blocks or color stripes due to uneven image printing.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall 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 attributes 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 (10)
1. A method for optimizing thermal film imaging, comprising the steps of:
respectively printing and scanning a plurality of standard comparison images acquired in advance to obtain a plurality of scanned images;
respectively calculating any standard contrast map and the corresponding scanned 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 color level homogenization scheme;
acquiring an ununiform area in an image to be optimized;
and according to the non-uniform area, processing the non-uniform area by using a homogenization scheme to obtain an optimized image.
2. The method of claim 1, wherein said step of computing each of said standard contrast maps and corresponding scanned images to establish a plurality of homogenization schemes comprises:
calculating the difference value between any standard contrast image and the corresponding scanned image to obtain a calculation result;
and obtaining the corresponding homogenization scheme according to the calculation result and a predetermined tolerance value.
3. The method of claim 2, wherein the difference calculation is formulated as: d (X, Y) ═ Pstd (X, Y) -Pscan (X, Y) - (Astd (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 map, 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 map, and Ascan (X, Y) is the average gray scale value of the scanned image.
4. The method of optimizing thermographic film imaging according to claim 2, wherein from said calculation and a predetermined tolerance value, the formula corresponding to said homogenization scheme is obtained as: diff (X, Y, Tolerance) ═ D (X, Y) -Tolerance if (D (X, Y) > Tolerance); otherwise Diff (X, Y, Tolerance) is 0;
wherein, Diff (X, Y, Tolerance) is a correction difference value considering the Tolerance value, D (X, Y) is a correction difference value, and Tolerance is a Tolerance gray level value.
5. The method for optimizing thermographic film imaging according to claim 1, wherein prior to said step of printing, scanning, respectively, a plurality of pre-acquired standard contrast maps to obtain a plurality of scanned images, said method further comprises:
respectively printing a plurality of standard comparison graphs acquired in advance to obtain a plurality of printing results;
respectively scanning a plurality of printing results in a blocking mode to obtain a plurality of blocking images corresponding to different standard comparison graphs;
and splicing a plurality of block images corresponding to any standard contrast image to obtain scanning images corresponding to different standard contrast images.
6. The method of optimizing thermographic film imaging according to claim 1, wherein said plurality of standard contrast maps comprises a standard tone scale map and a gray scale.
7. The method of claim 1, wherein after the step of configuring the non-uniform region to be processed using a homogenization scheme to obtain an optimized image in accordance with the non-uniform region, the method further comprises:
submitting the optimized image to a printer for printing.
8. A thermographic film imaging optimization device, comprising:
the scanning module is used for respectively printing and scanning a plurality of standard comparison images which are acquired in advance to obtain a plurality of scanned images;
the homogenization scheme establishing module is used for respectively calculating any standard contrast map and the corresponding scanned image so as to establish a plurality of homogenization schemes, and the homogenization schemes at least comprise a vertical homogenization scheme, a horizontal homogenization scheme and a color level homogenization scheme;
the non-uniform area acquisition module is used for acquiring a non-uniform area in the image to be optimized;
and the processing module is used for configuring and using a homogenization scheme to process the nonuniform area according to the nonuniform area so as to obtain an optimized image.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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