CN106204663A - Leaflet representability Enhancement Method and the system of figure is hidden based on high-fidelity - Google Patents

Abstract

The present invention provides a kind of leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system, relates to leaflet representability technical field.The present invention is by designing the early stage of leaflet and analyze before print, determine design parameter, utilize high-fidelity Tibetan figure linked network system, under full color high-quality table figure, hide the high-resolution base map of multilamellar and the relevant property of table figure, through prediction and the Optimization Compensation of color overlap, finally obtain the leaflet with high representability via print system, can gradually see each layer base map clearly by corresponding detection means.Leaflet representability Enhancement Method and the system of hiding figure based on high-fidelity that the present invention provides, can show cause effect relation complete between Biao Tu and base map, be effectively improved the representability of leaflet, expand table figure and the Application Range of base map.

Description

Leaflet representability Enhancement Method and the system of figure is hidden based on high-fidelity

Technical field:

The present invention relates to leaflet representability technical field, particularly relate to the performance of a kind of leaflet based on high-fidelity Tibetan figure Power Enhancement Method and system.

Background technology:

The existing considerably long history of technology of other images or information is hidden at the Biao Tuli of printing.Numeral along with printing Changing development, the technical method of increasing hidden image or information is developed application, and it is most commonly used applies false proof Field, there is no extensively application in terms of improving the representability of leaflet.

Hiding in diagram technology, observer it can be seen that the image of actual displayed be referred to as table figure, hidden by particular technology That under table figure, naked eyes cannot be differentiated and by corresponding detection means just it can be seen that image be referred to as base map, by base map The process under table figure that is hidden in is referred to as Tibetan figure.

When utilizing Tibetan diagram technology to make leaflet, table plot quality is most crucial requirement, owing to hiding figure process to halftoning The destruction of lattice point structure and upset, can bring significantly infringement to the picture quality of table figure, be embodied in the aobvious of base map region Existing or/and the revealing of base map edge.Have lost table plot quality if as Tibetan figure, and selection table figure must be certain specific pattern Shape, or can only Tibetan language word or black white image, or figure, or the resolution of base map, modulation amplitude can only be hidden in certain local Low with contrast, or base map is confined to a certain narrow color range (concentration) scope or is confined to observer insensitive Image local, such as mixed and disorderly little local or coarse color lump etc., all can be substantially reduced Tibetan figure effect, limit greatly and hide figure The range of application of technology and the representability of leaflet.

The physical process of printing is simulation (nonnumeric) process, and therefore, distortion, noise, unstability etc. can not be kept away Exempting from, therefore, during the halftone screen figure of rasterizing to actual leaflet, site has inevitable distortion, sometimes This distortion also can be the most serious.One index of most common of which is exactly the diffusion of site.Such as, offset printing or the photograph of flexo In row, plate-making and printing process, each step has distortion, exposes, develops, changes, clinkering in the laser printing in digital printing During, the distortion of each step is the most serious, and these distortions can have a strong impact on the table table plot quality of final printing.The most existing Having in technology, site distortion (including that site is spread) is difficult to prediction, is difficult to the most just in view of site in printing process Distortion, and perform compensation correction accurately.

In leaflet design process, the method for existing raising leaflet representability is concentrated mainly on the image of leaflet On traditional directions such as the arrangement of composition, Color constitut, pattern, contextual relation, it is impossible to effectively show between Biao Tu and base map Complete cause effect relation and the dependency of inherence, thus have much room for improvement in the representability of leaflet.

Summary of the invention:

For the defect of prior art, the present invention provides a kind of leaflet representability Enhancement Method based on high-fidelity Tibetan figure And system, by the early stage of leaflet is designed and analysis system before print, determine design parameter, utilize a high-fidelity Tibetan figure to hang Net system, under full color high-quality table figure, hides the high-resolution base map of multilamellar and the relevant property of table figure, by corresponding detection Means can gradually see each layer base map clearly, can show cause effect relation complete between Biao Tu and base map, be effectively improved The representability of leaflet, expands the Application Range of table figure, and the modulation amplitude of base map is big, contrast is high, good visual effect, resolution High, color range wide ranges.

On the one hand, the present invention provides a kind of leaflet representability Enhancement Method based on high-fidelity Tibetan figure, including:

(a) input table figure and at least one base map；

B () carries out high-fidelity Tibetan figure numeral linked network according to the requirement setting mode of printing to table figure, obtain for setting print The high-fidelity halftone screen figure keeping base map of each monochrome of brush mode, at least one of which monochrome table figure keeps base map；Gao Bao The method of true Tibetan figure numeral linked network is for distortion prediction and Optimization Compensation, the keeping of each monochrome obtained setting mode of printing The high-fidelity halftone screen figure of base map.

C high-fidelity halftone screen figure after Optimization Compensation is completed by () by setting mode of printing corresponding follow-up work program Printing, the high-fidelity leaflet containing base map of output full color；High-fidelity leaflet containing base map is better than Biao Tu and base map difference The discrete image combination leaflet of printing or base map overlap the leaflet on table figure with the form manifested.

D () selects the detection means corresponding with during the figure process of Tibetan, the high-fidelity leaflet obtaining printing detects, Manifest hiding base map, exist interrelated between Biao Tu and at least one hiding base map, real by the characteristic that is mutually related The purpose that existing leaflet representability strengthens.

Further, figure numeral net hanging method in high-fidelity Tibetan is a kind of based on the high-fidelity Tibetan figure numeral linked network directly revised Method, the method is for setting mode of printing, carries out the halftone screen figure after the modulation of table figure Sutra-Pitaka figure and linked network Tibetan figure directly The distortion prediction of image quality and Optimization Compensation after the printing connect.

Further, figure numeral net hanging method in high-fidelity Tibetan can also is that a kind of numeral based on high-fidelity Tibetan figure screen is hung Network method, halftone screen figure after linked network Tibetan figure is modulated of each color range of screen is carried out the method distortion prediction and compensation is repaiied Just, set up a high-fidelity Tibetan figure screen that any table figure is all suitable for, with this high-fidelity Tibetan figure screen, table figure is carried out linked network.

Further, figure mode in Tibetan includes some of the site to periodic, acyclic or random or netting twine Or multiple attribute is modulated by base map, described attribute includes angle, phase place, size, shape, density, frequency, position and ash Degree.

Further, if table figure is coloured image, table figure is divided into by step (b) RGB trichromatic diagram or CMYK tetra-color Scheme or add many chromatic graphs of other spot colors；If table figure is gray-scale map, in step (b), table figure only has black one chromatic graph.

Further, high-fidelity Tibetan figure numeral linked network process includes: according to parameter, each monochromatic table figure is carried out routine respectively Numeral linked network, each achromatic map linked network process has this color base map and the parameter input of correspondence respectively, determines table figure site debud mode, Carry out site modulation, complete Tibetan figure, export the halftone screen figure keeping base map under each monochromatic corresponding table figure.

Further, set mode of printing as intaglio printing, letterpress, lithographic printing, porous printing, offset printing, flexo, Silk screen printing, label printing, pipe printing, ink-jet, electrostatic, thermal transfer, heat sublimation or silver salt rinse.

Further, setting mode of printing can also be VDP, variable image printing or digital printing.

Further, base map is portrait, icon, word, numeral, date, series number, bar code, Quick Response Code, pattern, decorative pattern Or other black and white, gray level image.

Further, Biao Tu and the interrelated relation of base map are cause effect relation, membership relation, parallel relation, complementary pass System, sequence relation, surface and constitutive relations, the exterior and the interior relation, context, question and answer relation, prospect background relation, same sex differential mode are closed System, dominant recessive relation, same object multiple attributes relation, locally whole relation, real and illusory relation, implicit expression are special The relation of meaning, position corresponding relation, the same object form under different scenes or same object or scene are at different time The relation of form.

Further, high-fidelity leaflet is packaging, books, picture, card, juvenile reading materials, caricature, textbook, teaching Handbook, workbook or painting and calligraphy collection.The content of high-fidelity leaflet is mythology, children's stories, have fantasies of, play, legend, story, science fiction, The content in each fields such as literature, art or education.

Further, detection means be optical scanning, graphical analysis, extraordinary imaging, other machines identification, special lighting, Special observation angle, covering membrane module or other artificial means of identification；Wherein, covering membrane module is film block, the light printed Learn decoding membrane module, regular irregular or random micro-optics device array, line grating film block or polka-dot raster film block.

Further, detection means identifies for interim or identify for a long time, wherein, is identified as a long time height is protected detection membrane block True leaflet for good and all covers or bonds.

On the other hand, the present invention also provides for a kind of leaflet representability based on high-fidelity Tibetan figure and strengthens system, including:

Module is analyzed in leaflet design, analyzes for Tibetan figure leaflet carries out early stage design, analyzes the performance of leaflet Orbution between internal relation between content, every content, every content, every relation manifestation mode；

Module is analyzed, for analyzing table figure, base map and the Biao Tu of input and the corresponding relation of base map, it is provided that further before print Design parameter, including parameter, detection means or the design optimization parameter of tanka；

Parameter generation module, for the design parameter analyzing module output before print is calculated and refined, determines concrete Parameter is arranged or the span of parameter；

High-fidelity hides figure numeral linked network module, is used for realizing high-fidelity Tibetan figure numeral linked network, at the full-color color table of high-quality Under figure, hide base map, form each monochromatic halftone screen figure optimized；

Printing image fault prediction module one, for setting print to each monochromatic halftoning digital network figure formed after modulation Under brush mode, require parameter according to default table plot quality, issuable distortion after printing is predicted assessment, is additionally operable to The each monochrome the obtained high-fidelity halftone screen figure containing base map is calculated through colour superimposition, the color of counterweight poststack printing image The defect may brought with table figure multilated site is made prediction assessment；

Image fault compensation optimizing module one, for according to the printing assessment parameter that obtains of image fault prediction module one and Existing site state, carries out corresponding Optimization Compensation by each monochromatic halftoning digital network figure, is additionally operable to calculate according to colour superimposition The parameter that rear forecast assessment obtains, carries out corresponding Optimization Compensation to each monochrome high-fidelity halftone screen figure containing base map, obtains The each monochromatic high-fidelity halftone screen figure optimized further；

Optimum results determination module one, the halftoning number after process decision chart image distortion compensation optimizing module one Optimization Compensation Whether word net figure reaches to preset optimization aim, if reaching requirement, then each monochrome obtained contains the high-fidelity halftoning of base map Digital network figure exports, and otherwise, the halftoning digital network figure after Optimization Compensation returns printing image fault prediction module one；

Plate making printing module, each monochromatic halftone screen figure output after optimizing, by setting, print system is corresponding Follow-up work program completes printing, obtains the high-fidelity leaflet containing base map of full color；

Detection module, for high-fidelity leaflet is detected, the base map that display is hidden, reach leaflet representability and increase Strong purpose.

Further, analyze module before print to include:

Table figure input module, is used for inputting table figure；

Base map input module, is used for inputting base map；

Design parameter input module, for In-put design parameter；

Image analysis module, for analyzing table figure, base map and the design parameter of input；

Output module is analyzed, for exporting the analysis result of image analysis module before print.

Further, parameter generation module includes:

Analysis result input module before print, analyzes the analysis result of module output before inputting print；

Parameter input module, for inputting color, figure layer, modulation and the requirement of frequency parameter；

Parameter generation module, is arranged or span for generating the concrete of design parameter；

Parameter output module, the parameter set for output.

Further, high-fidelity Tibetan figure numeral linked network module includes:

Table figure color separation module one, for the table figure of input is carried out color separation, obtains each monochromatic table figure；

Linked network module, for carrying out conventional linked network respectively by each monochromatic table figure after table figure color separation module one color separation；

Site modulation module one, for the figure according to base map and the specific requirement of Tibetan figure, sets modulation parameter, determines tune Examination mode, carries out site modulation, completes Tibetan figure, exports the halftoning digital network figure after the modulation of each monochrome；

Printing image fault prediction module two, for setting under mode of printing, according to default print system parameter and Table plot quality requires parameter, may after the halftoning digital network figure printing of each monochrome formed after modulating site modulation module one The distortion produced is predicted assessment, is additionally operable to each monochrome obtained is contained the high-fidelity halftone screen figure of base map through color weight Folded calculating, the defect that the color of counterweight poststack printing image and Biao Tu multilated site may be brought is made prediction assessment；

Image fault compensation optimizing module two, for according to the printing assessment parameter that obtains of image fault prediction module two and Existing site state, carries out corresponding Optimization Compensation by each monochromatic halftoning digital network figure, is additionally operable to calculate according to colour superimposition The parameter that rear forecast assessment obtains, carries out corresponding Optimization Compensation to each monochrome high-fidelity halftone screen figure containing base map, obtains The each monochromatic high-fidelity halftone screen figure optimized further；

Optimum results determination module two, the halftoning number after process decision chart image distortion compensation optimizing module two Optimization Compensation Whether word net figure reaches to preset optimization aim, if reaching requirement, then each monochrome obtained contains the high-fidelity halftoning of base map Digital network figure exports, and otherwise, the halftoning digital network figure after Optimization Compensation returns printing image fault prediction module two；

The halftone screen figure output module optimized, the final each monochromatic halftone screen figure output after optimizing.

Further, high-fidelity Tibetan figure numeral linked network module includes:

Table figure color separation module two, for the table figure of input is carried out color separation, obtains each monochromatic table figure；

High-fidelity hides figure screen generation module, hides figure screen for creating high-fidelity；

Table figure color separation figure linked network module, generates mould for each achromatic map high-fidelity after table figure color separation is hidden figure screen The corresponding high-fidelity Tibetan figure screen that block creates carries out linked network, exports the high-fidelity Tibetan figure halftone screen figure of each monochrome.

Further, figure screen generation module in high-fidelity Tibetan includes:

Color range linked network module, for obtaining a single color range by certain color stage one picture being sized size of filling Gray-scale map, then by conventional linked network, obtain the halftone screen figure of this color range；

Site modulation module two, for according to design objective and the base map parameter request halftone screen figure to color range hiding figure Setting modulation parameter, determine debud mode, carry out site modulation by base map, the halftone screen of this color range after figure modulation is hidden in output Figure；

Printing image fault prediction module three, for existing to the halftone screen figure of the single color range after being modulated disturbance by base map In printing process, issuable distortion is predicted assessment；

Image fault compensation optimizing module three, for according to the printing assessment parameter that obtains of image fault prediction module three and Existing site state, carry out corresponding correction-compensation and optimization to single color range net figure, obtains the base map that keeps of single color range Net figure after optimization；

Optimum results determination module three, whether the halftoning digital network figure of the single color range after judging Optimization Compensation reaches To presetting optimization aim, if reaching requirement, then each single color range obtained is contained the high-fidelity halftoning digital network figure of base map Output, otherwise, returns by the halftoning digital network figure after Optimization Compensation to printing image fault prediction module three；

Screen synthesis module, for synthesizing one by the half-tone picture through correction-compensation and optimization of each color range obtained Individual screen, i.e. corresponding monochromatic high-fidelity hides figure screen.

Further, above-mentioned each printing image fault prediction module includes:

Site input module one after modulation, the halftoning of the single color range of output after receiving corresponding site modulated process The halftoning digital network figure of digital network figure or table figure, as the input quantity of this printing image fault prediction module；

Printing parameter module, is used for setting mode of printing and parameter；

Relatively parameter setting module, after the halftone screen figure of this color range before arranging standard color range or Tibetan figure and Tibetan figure The Comparative indices of halftone screen figure of this color range, original table figure with hide the halftone screen chart figure after figure or color overlapping after The Comparative indices of halftone screen chart figure；

Comparison algorithm module, is used for setting comparison pattern and comparative approach, compares half color of the single color range of certain after the figure of Tibetan Adjust net figure and standard color range or the halftone screen figure hiding this color range before figure, or before comparing the halftone screen figure after the figure of Tibetan and Tibetan figure Halftone screen figure or original table figure；

Distorted result output module, for exporting the distortion prediction result that comparison algorithm module obtains.

Further, above-mentioned each image fault compensation optimizing module includes:

Site input module two after modulation, the halftoning numeral of the single color range of output after receiving site modulated process Net figure or the halftoning digital network figure of table figure, as an input quantity of this image fault compensation optimizing module；

Distorted result input module, predicts, for receiving in corresponding described printing image fault prediction module, the mistake obtained Really predict the outcome, as another input quantity of this image fault compensation optimizing module, the i.e. foundation of Optimization Compensation；

Parameters optimization arranges module, the relevant parameter during arranging Optimization Compensation；

According in corresponding described printing image fault prediction module, optimization algorithm module, for predicting that the distortion obtained is pre- Survey the halftone screen figure of single color range or the halftoning digital network figure of table figure that site input module two after modulation is received by result It is optimized compensation；

Optimizing site output module, the halftoning digital network figure after Optimization Compensation optimization algorithm module obtained is defeated Go out to corresponding optimum results determination module.

As shown from the above technical solution, the present invention provide based on high-fidelity hide figure leaflet representability Enhancement Method and System, by designing the early stage of leaflet and analysis system before print, determines design parameter, utilizes a high-fidelity Tibetan figure linked network System, under full color high-quality table figure, hides the high-resolution base map of multilamellar and the relevant property of table figure, by detecting hands accordingly Section can gradually see each layer base map clearly.

The present invention provide leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system can show Biao Tu with Cause effect relation complete between base map, is effectively improved the representability of leaflet, specifically includes: multilamellar Tibetan figure can be gray-scale map, Black white image or figure, word；Multilamellar Tibetan figure regularly can be shown by inspection sheet, by its pass corresponding with table figure System, shows different scenes or contact；Multilamellar hides figure can be certain interrelated by detection order performance；Hiding figure for every layer can To be constituted the most interrelated with table figure；Hiding figure for every layer to be shown by inspection sheet, the image of display can be distinguished by other means； Tibetan figure is not only a kind of means providing extraneous information or image, has a lot of application scenarios, have certain hide attribute information, Word or image can more preferably, more relevantly express complete design concept, pass on relatively sharp, information, example more comprehensively As: image, the multiple attributes of object, certain meaning of implicit expression, represented object or the implicit speciality of event naturally, problem Answer or prompting, the extraneous information of product, link etc..

The extraneous information of the not required that they be so of some product can only be printed on commodity surface or label surface at present, but this Plant printing process and can increase unnecessary pattern, the information that possible covering part is useful to commodity or Commercial goods labels surface, it is possible to The important information that can make commodity or label is interfered, and then can solve this with the Tibetan figure leaflet of multilamellar base map and ask Topic, important and necessary information can be printed on commodity or label list figure, and implicit, not required that they be so or needs are hidden Information (such as anti-counterfeiting information) all can process by the mode of base map detection.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides are also particularly suitable base Make in the Tibetan figure being periodically detected diaphragm, can will hide the definition of figure, contrast optimization, and not damage the quality of table figure.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be effectively improved table figure Quality, expands the Application Range of table figure, applies also for the situation that base map is constant, table figure changes in a large number or changes.When hiding figure, table On figure the edge at the figure of Tibetan seamlessly transit, without vestige, the vestige of multilamellar base map is not seen on table figure surface, and meanwhile, table figure is permissible Being any brightness, the image of any contrast, the gray scale alterable wide ranges of table figure, base map can be hidden in view picture table figure map sheet Below or cover table figure map sheet a part, the base map during figure of justifying Tibetan can be periodic repeat patterns, it is also possible to be certain Individual single picture.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides make suppressible base map Modulation amplitude is big, contrast is high, good visual effect, resolution high, and base map can also be the least word or image, after hiding figure, Base map high definition, resolution is close to inspection sheet line number.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be effectively improved table figure On be suitable for the color range scope of Tibetan figure, in the range of gamut, high-fidelity can hide figure, it is also possible to base map is hidden in several not With color range on or cover continuously certain color range scope.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides are not schemed by concrete Tibetan The impact of modulation system, the most applicable to various Tibetan drawing method, a certain color separation can be carried out the hybrid multilayer Tibetan figure of various ways； Multiple color separations or each color separation can be carried out Tibetan figure independently, make the content of Tibetan figure and technical skill enrich greatly, Representability and the function of carrying information of Tibetan figure can be effectively improved.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be to each layer base maps Definition and contrast during detection make control independently, have it will be apparent that also have so hiding that to be the most deeply difficult to illusion, Thus, it is provided that the expression means of different levels, meet the representability demand of different levels.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be by base maps Being divided into several part, ensconce in several monochrome respectively, in this case, only detection diaphragm detects each list of plant simultaneously Spirte in color integrated display, base map just can display.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be hidden under table figure Hide three-dimensional base map, through corresponding detection means, stereoeffect can be shown；Can also by the base map of hiding special handling, When inspection sheet is fixed in respective angles, along with angle and the change at visual angle of illumination, produce different effects；Can also be by inspection Sheet rotates or translation, and under table figure background, the base map order of different levels manifests, and forms unique animation effect；Can hide The code category information such as multi-layer bar code, Quick Response Code, it is possible to utilize all kinds of barcode scanning equipment to distinguish after Figure recognition, therefore, The application present invention can also provide extra digital code information or link, greatly abundant and support matrix figure.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides make Tibetan figure manufacturing process Simply, do not change former plate-making, typography, do not use special consumptive material, the most additionally increase printing cost, just solve when printing Hide figure problem, it is not necessary to print post processing, it is adaptable to various printing technologies, various printing element, the configuration of surface of various base material.

Accompanying drawing illustrates:

Fig. 1 is the method for anti-counterfeit flow chart based on high-fidelity Tibetan figure of the embodiment of the present invention；

Fig. 2 is figure the first process schematic of numeral linked network in high-fidelity Tibetan in Fig. 1；

Fig. 3 is high-fidelity Tibetan figure numeral linked network second process schematic diagram in Fig. 1:

Fig. 4 is that in Fig. 3, high-fidelity Tibetan figure screen generates procedures system flow chart；

Fig. 5 is to print image fault prognoses system and image compensation optimization system flow chart in Fig. 2 and Fig. 4；

Fig. 6 is the structured flowchart of the Antiforge system based on high-fidelity Tibetan figure of the embodiment of the present invention；

Fig. 7 is the structured flowchart analyzing module in Fig. 6 before print；

Fig. 8 is the structured flowchart of parameter generation module in Fig. 6；

Fig. 9 is the first structured flowchart of high-fidelity Tibetan figure numeral linked network module in Fig. 6；

Figure 10 is the second structured flowchart of high-fidelity Tibetan figure numeral linked network module in Fig. 6；

Figure 11 is the structured flowchart of high-fidelity Tibetan figure screen generation module in Figure 10；

Figure 12 is the structured flowchart of each printing image fault prediction module；

Figure 13 is the structured flowchart of each image fault compensation optimizing module.

In figure: 601, module is analyzed in leaflet design；602, module is analyzed before print；6021, table figure input module；6022、 Base map input module；6023, design parameter input module；6024, image analysis module；6025, output module is analyzed before print； 603, parameter generation module；6031, analysis result input module before print；6032, parameter input module；6033, parameter generates mould Block；6034, parameter output module；604, high-fidelity hides figure numeral linked network module；604A1, table figure color separation module one；604A2, extension Net module；604A3, site modulation module one；604A4, printing image fault prediction module two；604A5, image fault compensate excellent Change module two；604A6, optimum results determination module two；604A7, the halftone screen figure output module of optimization；604B1, table figure divide Color module two；604B2, high-fidelity hide figure screen generation module；604B21, color range linked network module；604B22, site modulation module Two；604B23, printing image fault prediction module three；604B24, image fault compensation optimizing module three；604B25, optimization knot Really determination module three；604B26, screen synthesis module；604B3, table figure color separation figure linked network module；605, printing image fault is pre- Survey module one；606, image fault compensation optimizing module one；607, optimum results determination module one；608, Plate making printing module； 609, detection module；1201, site input module one after modulation；1202, printing parameter module；1203, compare parameter and mould is set Block；1204, comparison algorithm module；1205, distorted result output module；1301, site input module two after modulation；1302, lose True result input module；1303, parameters optimization arranges module；1304, optimization algorithm module；1305, site output module is optimized.

Detailed description of the invention:

Below in conjunction with the accompanying drawings and embodiment, the detailed description of the invention of the present invention is described in further detail.Hereinafter implement Example is used for illustrating the present invention, but is not limited to the scope of the present invention.

A kind of method for anti-counterfeit hiding figure based on high-fidelity, as it is shown in figure 1, be the flow chart of the method, in the present embodiment, Hiding four width base maps under one full-color table figure, reach false proof purpose, table figure pattern seamlessly transits, resolution 300dpi, base map 1 Being 8 gray scale Tibetan figures of full version that a width is identical with table figure map sheet, base map 2 is 8 gray-scale maps of a width portrait, and base map 3 is a width flower 8 gray-scale maps of grass, base map 4 is that a width logo justifying is repeated cyclically base map, and Tibetan figure frequency is 1591pi, and table graph coloring order range can To be 0-100%, the color range scope of base map can also be 0-100%, and in the range of table graph coloring order range 10-90%, base map is clear Clear detect.Concrete grammar is as described below.

S101, input table figure, at least one base map and design parameter thereof, design parameter is included under table figure the base map hidden Position relationship, hide figure mode, angular relationship, chromatograph, various weight, the frequency etc. of site.

S102, Tibetan figure leaflet is carried out early stage design analyze, analyze between the performance content of leaflet, every content Orbution between internal relation, every content, every relation manifestation mode.Simultaneously to table figure, base map, Biao Tu and base map Corresponding relation and design parameter are analyzed, and obtain analysis result, determine table figure and the position relationship of base map, color relations, bright Degree relation, resolution relation, figure layer relation, modulation system, modulation amplitude, table figure distortion permissibility, figure position, Tibetan, Tibetan figure frequency Distribution and detection means etc..

S103, according to design requirement, the analysis result obtaining step S102 calculates and refines, generate design parameter Arrange.Wherein, figure layer relation is, base map 1 designs in cyan layers, and base map 2 and base map 3 design in magenta layer, and base map 4 designs Black layer；Hide figure frequency unified for 1591pi；Table figure allows the distortion factor to be 5%；Modulation system is, base map 1 adds for amplitude Phase modulation position mode, base map 2 and base map 3 add phase modulation position mode for amplitude, and base map 4 adds hue angle mode for amplitude；Four Layer base map angle is respectively 15 degree, 75 degree, 165 degree and 45 degree.

S104, according to corresponding print system requirement, the table figure color separation to input is blue or green, pinkish red, yellow and black four colors, obtains Each monochromatic table figure；

S105, each achromatic map after table figure color separation being carried out high-fidelity Tibetan figure numeral linked network, achromatic map respectively enters phase Corresponding monochromatic high-fidelity hides figure numeral linked network system, and each monochromatic high-fidelity Tibetan figure numeral linked network system has corresponding respectively This color base map and parameter input, yellow color, without hiding figure, is not required to modulation；Cyan, magenta and black monochromatic have Tibetan figure requirement.

Wherein, the high-fidelity Tibetan figure numeral linked network system of cyan and black uses the first high-fidelity Tibetan figure numeral linked network mistake Journey realizes Tibetan figure linked network respectively, as shown in Figure 2.The high-fidelity Tibetan figure numeral linked network system of magenta uses the second high-fidelity to hide Figure numeral linked network process realizes hiding figure linked network, as shown in Figure 3 and Figure 4.Two kinds hide figure modes, in order to realize high-fidelity, all by Process is optimized, as shown in Figure 5 in a printing image fault prediction and image compensation.Below in conjunction with the accompanying drawings, two to the present invention Plant high-fidelity Tibetan figure numeral net suspension mode to be described in further detail.

The high-fidelity Tibetan figure numeral linked network system of cyan and black is used the first high-fidelity Tibetan figure numeral linked network process Realize hiding figure linked network respectively, as shown in Figure 2 method particularly includes:

S201, the monochromatic table figure of cyan and black is inputted respectively the first high-fidelity Tibetan figure numeral linked network system；

S202, to cyan and black numeral net suspension mode linked network routinely.Such as, conventional linked network, cyan and black do not exist 15 degree and 45 degree.According to input parameter, select 1591pi amplitude；

S203, each achromatic map linked network Tibetan figure process have this color base map and the parameter input of correspondence, wherein, cyan monochrome respectively Table figure adds phase modulation position mode by amplitude modulation and is modulated, and black monochromatic table figure adds tune net angle mode by amplitude modulation and is modulated, and completes net Figure is hidden in some modulation, exports the halftone screen figure keeping base map under each monochromatic corresponding table figure；

S204, each monochromatic corresponding rasterizing high-resolution halftone screen figure that will export after modulating in step S203 are defeated Enter a printing image fault prognoses system, from existing digital network dotted state, according to different mode of printings, it was predicted that each list Distortion image quality after the halftone screen figure printing of color, makes and may produce after including table plot quality, the quality of each layer base map, printing The commenting of each side such as image deflects, the position of table figure defect that is likely to result in after being upset by base map, table figure site and the extent of damage Estimate；

S205, the defect parameters that step S204 forecast assessment obtains is passed to image compensation optimize system, according to lacking Fall into parameter and existing site state and prediction defect is made compensation optimizing decision, certain or some pixels are bleached or by vain by black Blackening, carries out corresponding Optimization Compensation by halftone screen figure；

S206, the optimum results after optimized compensation is judged, if meeting default parameters optimization requirement, this enforcement The optimization aim preset in example is that the distortion factor is less than 5%, then obtain each monochrome high-fidelity halftone screen figure containing base map, under entrance One step, otherwise, again feeds back to step S204 by the output of step S205, re-starts prediction, compensation optimizing and judgement, until Till meeting parameter preset requirement.

Step S204, S205 and S206 flow chart as shown in Figure 5.

Tibetan figure is generally likely to result in two class defects to the modulation of lattice point structure, and the first kind is cause half-tone picture direct Defect, this kind of defect can identify on half-tone picture, say, that even printing out entirely without distortion ideally Coming, defect there is also.To this first kind defect, it is necessary to revised.Equations of The Second Kind defect is cannot directly to sentence in half-tone picture Other, it is to be caused by the interaction of upsetting of the distortion of print system with lattice point structure, and different print systems, result is not With.This Equations of The Second Kind defect should be compensated on digital halftone net figure accurately for setting print system.The present invention couple The correction-compensation of two kinds of defects is all suitable for, and both defects can be distinguished correction-compensation, it is also possible to complete simultaneously.

Circulation through step S204, S205 and S206 performs, and has obtained the high-fidelity containing base map of cyan and black Halftoning digital network figure or the halftone screen figure referred to as optimized.

The high-fidelity Tibetan figure numeral linked network system of magenta uses the second high-fidelity Tibetan figure numeral linked network process to realize hiding Figure linked network, as it is shown on figure 3, concrete grammar is as follows.

S301, input monochrome separation figure, base map and parameter is set.This example, pinkish red monochrome bitmap is without color separation again, directly Enter the passage corresponding to pinkish red bitmap, base map 2,3 and other parameter is set and also directly inputs.

Next series of step S302 to S307 is the high-fidelity Tibetan figure screen in order to generate magenta, and detailed process is such as Shown in Fig. 4.

S302, color range 0 to pinkish red single-color layer carry out single color range routine linked network, and by amplitude modulation, this color range figure is added phase modulation position Mode is modulated, and completes Tibetan figure, obtains keeping the color range 0 net figure of base map.

S303, by Tibetan figure modulate after color range 0 net figure input one printing image fault predicting subsystem, with color range 0 Standard color range figure compares, and from existing digital network dotted state, according to different mode of printings, it was predicted that the picture after printing Matter, prints the prediction to image quality of the image fault predicting subsystem by using one group of Prediction Parameters to come control forecasting pattern and prediction Target, this group Prediction Parameters include but not limited to standard of comparison be pinkish red color range 0 standard color range figure, base map pattern be 8 gray scales Figure, base map chromatograph be magenta layer, base map contrast be the 70% of maximum possible contrast, modulation system select site amplitude modulation and Phase-modulation, mode of printing select offset printing.Using artificial intelligence's fuzzy algorithmic approach, the table figure site distortion to being likely to occur carries out pre- Survey.

S304, inputing to an image according to the printing defective data that obtains of image fault predicting subsystem forecast assessment Distortion compensation optimizes subsystem, according to defect parameters and existing site state, makes optimization and determines, certain or some pixels by Black bleaching or black by leucismus, the single color range figure of color range 0 carries out corresponding Optimization Compensation, wherein, optimized algorithm uses simple Backoff algorithm.Image fault compensation optimizing subsystem carries out corresponding Optimization Compensation process by one group of parameters optimization to each net figure Control its function, parameters optimization include but not limited to table figure resolution weight be 80, table figure color weight be 80, table figure brightness power Be heavily 80, table figure color transition weight be 80, base map resolution weight be 20, base map luminance weights be 20.

S305, the color range 0 net figure after optimized compensation is re-started distortion prediction, it is determined that optimum results, if optimized Result meets parameter preset requirement, then obtain the color range 0 net figure optimized, and carries out the prediction optimization process of lower color stage figure, otherwise, Again color range 0 net figure is optimized compensation, until meeting parameter preset requirement.

Distortion prediction S304 and Optimization Compensation process S305 to the halftone screen figure of single color range, as shown in Figure 5.This Place, " keeps the halftone screen figure of base map " in Fig. 5 and is the halftone screen figure after the modulation of this color range, distortion prediction and correction-compensation Monochromatic halftone screen figure is mainly independently carried out by process.

It is pre-that S306, lower color stage 1 to color range 0 carry out the linked network of above-mentioned single color range, the modulation of Tibetan figure, printing image fault Survey, the operation of image fault Optimization Compensation, i.e. S302, S303, S304 and S305, repeat this process, until completing this monochrome The all operations of all 0～255 grade of color ranges, 256 the single color range net figures containing base map after obtaining pinkish red monochromatic optimization.

S307, single color range net figures containing base map after 256 pinkish red monochromatic optimizations are overlaped, merge formation one The magenta Tibetan figure screen keeping base map of individual gray scale.Different from net figure, screen is a gray-scale map, combines all color ranges Lattice point structure, including Tibetan figure content, is all suitable for any table figure.

As a kind of alternate embodiment, Tibetan figure has only to, in a part, carry out without in all color ranges.Such as exist In the whitest or completely black color range, (close to 0 or 255) does not hide figure.The most such as, if certain monochrome of table figure is only confined to necessarily Color range scope, the color range outside this color range scope need not carry out Tibetan figure and corresponding correction-compensation.

As shown in Figure 4, by the process of S302 to S307, pinkish red monochromatic high-fidelity Tibetan figure screen has generated stand-by.

S308, by the pinkish red color separation bitmap pinkish red high-fidelity Tibetan figure screen linked network produced by above-mentioned steps, will The gray value of magenta screen is as one group of threshold value, the gray value of each pixel of magenta achromatic map of table figure and corresponding magenta The threshold value of color screen pixel is done subtraction and is compared, if total is more than 0, then corresponding halftone screen pixel value 1, if total is little In 0, then corresponding halftone screen pixel value 0, repeats this process, obtains half color keeping base map after pinkish red monochromatic modulation Adjust net figure.

So far, the first high-fidelity Tibetan figure numeral linked network process (S201 to S206 as shown in Figure 2) is used to obtain green grass or young crops The high-fidelity of normal complexion black hides figure halftone screen figure.The second high-fidelity is used to hide figure numeral linked network process (such as Fig. 3 and Fig. 4 institute The S301 to S308 shown) obtain pinkish red high-fidelity Tibetan figure halftone screen figure.

S106, follow-up work program by the various printing technology chief minister's seals, each monochromatic halftone screen figure optimization completed is defeated Enter forme-producing system to make a plate, then carry out offset printing, obtain keeping under table figure the high-fidelity leaflet of base map.

S107, on the table figure being completed for printing, use 1591pi lenticular lenses detect, when grating angle 15 degree, clearly Clear display base map 1, when grating angle 75 degree, clear display base map 2, when grating angle 165 degree, clear display base map 3, During grating angle 45 degree, clear display base map 4, rotating shutter sheet, then four layers of base map manifest successively, it is achieved false proof purpose.

In being embodied as, after digital halftone net figure is formed, can be corresponding by various printing technologies as required Follow-up work program complete printing, thus output containing hide figure leaflet, conventional printing technology have lithographic plate, intaglio plate, relief printing plate, Offset printing, flexo, gravure, laser imprinted etc.；Traditional printing mode can also first laser photo-typesetting, export the film, reprocessing plate-making, set Color prints, novel modern system, and use directly is made a plate (CTP), then chromaticity printing without the film more, and digital printing system is the most straight Connect output print pictures.When needing detection, according to hiding figure process choosing and fashionable corresponding detection means, such as machine can be hidden Device recognition, scanning, special lighting, special observation angle, special optical instrument etc., carry out the base map of detection of concealed, most commonly seen Detection method is with a kind of transparent optical film or plate, covers on table figure, and when position angle is suitable, Tibetan figure will show Come.

A kind of Antiforge system hiding figure based on high-fidelity, for realizing above-mentioned method for anti-counterfeit based on high-fidelity Tibetan figure, As shown in Figure 6, this system specifically includes: leaflet design analyzes module 602, parameter generation module before analyzing module 601, print 603, high-fidelity hides figure numeral linked network module 604, printing image fault prediction module 1, image fault compensation optimizing module One 606, optimum results determination module 1, Plate making printing module 608 and detection module 609.

Module 601 is analyzed in leaflet design, analyzes for Tibetan figure leaflet carries out early stage design, analyzes the table of leaflet Show the orbution between the internal relation between content, every content, every content, every relation manifestation mode.

Module 602 is analyzed before print, anti-for analyzing the table figure of input, the COLOR COMPOSITION THROUGH DISTRIBUTION of base map, brightness, resolution and user Pseudo-requirement, it is provided that further design parameter, determines tanka mode, position, frequency and the detection means of base map, optimizes false proof setting Meter function.As it is shown in fig. 7, this module specifically includes:

Table figure input module 6021, is used for inputting table figure；

Base map input module 6022, is used for inputting base map；

Design parameter input module 6023, for In-put design parameter；

Image analysis module 6024, for analyzing table figure, base map and the design parameter of input；

Output module 6025 is analyzed, for exporting the analysis result of image analysis module 6014 before print.

Parameter generation module 603, for refining the design parameter of analysis system output before print, determines design parameter Arrange or the span of parameter.As shown in Figure 8, this module specifically includes:

Analysis result input module 6031 before print, analyzes the analysis result of module output before inputting print；

Parameter input module 6032, for inputting color, figure layer, modulation, the requirement of frequency parameter；

Parameter generation module 6033, is arranged or span for generating the concrete of design parameter；

Parameter output module 6034, the parameter set for output.

High-fidelity hides figure numeral linked network module 604, is used for realizing high-fidelity Tibetan figure numeral linked network, in the full color of high-quality Under table figure, hide base map, form each monochromatic halftone screen figure.

High-fidelity Tibetan figure numeral linked network module 604 is the core of native system, and the first structure uses based on directly correction High-fidelity hides figure numeral linked network system, and the second structure uses the digital linked network system hiding figure screen based on high-fidelity.

High-fidelity hides the first structure of figure numeral linked network module 604, as it is shown in figure 9, this module specifically includes: table figure divides Color module one 604A1, linked network module 604A2, site modulation module one 604A3, printing image fault prediction module two 604A4, The halftone screen figure output module of image fault compensation optimizing module two 604A5, optimum results determination module two 604A6 and optimization 604A7。

Table figure color separation module one 604A1, for the table figure of input is carried out color separation, obtains each monochromatic table figure.

Linked network module 604A2, for carrying out conventional extension respectively by each monochromatic table figure after color separation module 604A1 color separation Net.

Site modulation module one 604A3, for the figure according to base map and the specific requirement of Tibetan figure, sets modulation parameter, Determine debud mode, carry out site modulation, complete Tibetan figure, export each monochromatic corresponding rasterizing high-resolution halftoning numeral Net figure；

Printing image fault prediction module two 604A4, under setting mode of printing, according to default print system ginseng Number and table plot quality require parameter, the halftoning digital network figure of each monochrome formed after modulating site modulation module one 604A3 After printing, issuable distortion is predicted assessment, is additionally operable to contain each monochrome obtained the high-fidelity halftone screen figure of base map Calculating through colour superimposition, the defect that the color of counterweight poststack printing image and Biao Tu multilated site may be brought is made prediction Assessment.

Image fault compensation optimizing module two 604A5, for obtain according to printing image fault prediction module two 604A4 Assessment parameter and existing site state, carry out corresponding Optimization Compensation by each monochromatic halftoning digital network figure, be additionally operable to according to face The parameter that after color overlapping calculation, forecast assessment obtains, optimizes accordingly to each monochrome high-fidelity halftone screen figure containing base map Compensate, each monochromatic high-fidelity halftone screen figure optimized further.

Optimum results determination module two 604A6, after process decision chart image distortion compensation optimizing module two 604A5 Optimization Compensation Halftoning digital network figure whether reach to preset optimization aim, if reaching requirement, then by height containing base map of each monochrome of obtaining Fidelity halftoning digital network figure exports, and otherwise, the halftoning digital network figure after Optimization Compensation returns printing image fault prediction Module two 604A4.

The halftone screen figure output module 604A7 optimized, the final each monochromatic halftone screen figure output after optimizing.

High-fidelity hides the second structure of figure numeral linked network module 604, and as shown in Figure 10, this module specifically includes:

Table figure color separation module two 604B1, for the table figure of input is carried out color separation, obtains each monochromatic table figure；

High-fidelity hides figure screen generation module 604B2, hides figure screen for creating high-fidelity；

Table figure color separation figure linked network module 604B3, corresponding by high-fidelity for each achromatic map after table figure color separation is used The high-fidelity Tibetan figure screen that Tibetan figure screen generation module 604B2 creates carries out linked network, exports the high-fidelity Tibetan figure half of each monochrome Tone net figure.Color separation figure passes through screen linked network, and computational methods are simple and quick, by color separation figure and screen plus-minus or compare realization. Owing to using high-fidelity to hide figure screen, obtained halftoning Tibetan figure net figure also has high-fidelity characteristic.

High-fidelity hides figure screen generation module 604B2, as shown in figure 11, specifically includes: color range linked network module 604B21, net Point modulation module two 604B22, printing image fault prediction module three 604B23, image fault compensation optimizing module three 604B24, Optimum results determination module three 604B25 and screen synthesis module 604B26.

Color range linked network module 604B21 is single for the picture that certain color stage filling one is sized size obtains one The gray-scale map of color range, then by conventional linked network, obtains the halftone screen figure of this color range.

Site modulation module two 604B22, is used for the design objective according to Tibetan figure and base map parameter request to described color range Halftone screen figure sets modulation parameter, determines modulation system, carries out site modulation by base map, and this after the figure modulation of output Tibetan is single The halftone screen figure of color range.

Printing image fault prediction module three 604B23, for the halftoning being modulated the single color range after disturbance by base map The issuable distortion in printing process of net figure is predicted.

Image fault compensation optimizing module three 604B24, for obtaining according to printing image fault prediction module three 604B23 Assessment parameter and existing site state, single color range net figure is carried out corresponding correction-compensation and optimization, obtains single color range The optimization keeping base map after net figure.

Optimum results determination module three 604B25, the halftoning digital network figure of the single color range after judging Optimization Compensation Whether reaching to preset optimization aim, if reaching requirement, then each single color range obtained being contained the high-fidelity halftoning number of base map Word net figure exports, and otherwise, the halftoning digital network figure after Optimization Compensation returns printing image fault prediction module three 604B23.

Screen synthesis module 604B26, the half-tone picture through correction-compensation and optimization of each color range for obtaining closes Becoming a screen, i.e. corresponding monochromatic high-fidelity hides figure screen.When all selected color ranges all complete linked network, hide figure, revise After compensating and optimizing, it is possible to by methods such as superpositions, the halftone screen figure after the correction-compensation of each color range is synthesized a net Screen.Owing to every color stage all passes through Tibetan figure, correction-compensation and optimization before this, therefore, the screen generated is high-fidelity Tibetan figure net Screen, and all table figures are all suitable for.

High-fidelity Tibetan figure numeral linked network module 604A (Fig. 9) that both the above can be substituted for each other or 604B (Figure 10), may be used To be used for creating the high-fidelity Tibetan figure halftone screen figure of one group of each monochrome.

Printing image fault prediction module 1, for hiding each monochrome that figure numeral linked network module 604 is formed to high-fidelity Halftoning digital network figure, under setting mode of printing, requires parameter according to default table plot quality, to issuable after printing Distortion is predicted assessment, is additionally operable to each monochrome obtained is contained the high-fidelity halftone screen figure of base map through colour superimposition meter Calculating, the defect that the counterweight poststack printing color of image and Biao Tu multilated site may be brought is made prediction assessment.

Image fault compensation optimizing module 1, for the assessment obtained according to printing image fault prediction module 1 Parameter and existing site state, each monochromatic halftoning digital network figure high-fidelity Tibetan figure numeral linked network module 604 formed is carried out Corresponding Optimization Compensation, the parameter that after being additionally operable to calculate according to colour superimposition, forecast assessment obtains, high-fidelity is hidden figure numeral and hangs The each monochrome that net module 604 the is formed high-fidelity halftone screen figure containing base map carries out corresponding Optimization Compensation, obtains the most excellent The each monochromatic high-fidelity halftone screen figure changed.

Optimum results determination module 1, half after process decision chart image distortion compensation optimizing module 1 Optimization Compensation Whether tone digital network figure reaches to preset optimization aim, if reaching requirement, then each monochrome obtained contains the high-fidelity of base map Halftoning digital network figure exports, and otherwise, the halftoning digital network figure after Optimization Compensation returns printing image fault prediction module One 605.

Plate making printing module 608, each monochromatic halftone screen figure output after optimizing, by setting, print system is corresponding Follow-up work program complete printing, obtain the high-fidelity leaflet containing base map of full color.

Detection module 609, for high-fidelity leaflet is detected, the base map that display is hidden, reach leaflet performance The purpose that power strengthens.

Each printing image fault prediction module in the present embodiment all includes following structure, as shown in figure 12:

Site input module 1 after modulation, the half of the single color range exported after receiving corresponding site modulated process The halftoning digital network figure of tone digital network figure or table figure, as the input quantity of this printing image fault prediction module；

Printing parameter module 1202, is used for setting mode of printing and parameter；

Relatively parameter setting module 1203, the halftone screen figure of this color range before standard color range or Tibetan figure are set and Tibetan The Comparative indices of the halftone screen figure of this color range after figure, or original table figure with hide the halftone screen chart figure after figure or color weight The Comparative indices of the halftone screen chart figure of poststack；

Comparison algorithm module 1204, is used for setting comparison pattern and comparative approach, compares the single color range of certain after the figure of Tibetan Halftone screen figure and standard color range or the halftone screen figure of this color range before hiding figure, or compare the halftone screen figure after the figure of Tibetan and Tibetan Halftone screen figure before figure or original table figure；Distorted result output module 1205, is used for exporting comparison algorithm module 1204 and obtains Distortion prediction result.

Each image fault compensation optimizing module in the present embodiment all includes following structure, as shown in figure 13:

Site input module 2 1301 after modulation, the halftoning of the single color range of output after receiving site modulated process The halftoning digital network figure of digital network figure or table figure, as an input quantity of this image fault compensation optimizing module；

Distorted result input module 1302, predicts, for receiving in corresponding printing image fault prediction module, the distortion obtained Predict the outcome, as another input quantity of this image fault compensation optimizing module, the i.e. foundation of Optimization Compensation；

Parameters optimization arranges module 1303, the relevant parameter during arranging Optimization Compensation；

Optimization algorithm module 1304, for predicting, according in corresponding printing image fault prediction module, the distortion prediction obtained The halftone screen figure of single color range that site input module 2 1301 after modulation is received by result or the halftoning digital network of table figure Figure is optimized compensation；

Optimize site output module 1305, the halftoning number after Optimization Compensation optimization algorithm module 1304 obtained Word net figure exports to corresponding optimum results determination module.

Leaflet representability Enhancement Method and the system of hiding figure based on high-fidelity that the present invention provides, by leaflet Analysis system before early stage design and print, determines design parameter, utilizes a high-fidelity Tibetan figure linked network system, generates one group of optimization and mends High-fidelity halftone screen figure after repaying, then set print system by one, high-fidelity is hidden figure numeral linked network system output Halftone screen figure carries out Plate making printing, obtains the leaflet with high representability, can gradually be seen by corresponding detection means To each layer base map clearly.

The present invention provide leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system can show Biao Tu with Cause effect relation complete between base map, is effectively improved the representability of leaflet, specifically includes:

(1) multilamellar Tibetan figure can be gray-scale map, black white image or figure, word；

Table figure can be full-color any image, its Color Range width, and Tibetan figure can be black and white pattern, word, or gray scale Image；Tibetan figure can be multilamellar；Tibetan figure can be expired width and be covered all table figure map sheets, or covers a part for table figure map sheet；

(2) multilamellar Tibetan figure regularly can be shown by inspection sheet, by itself and the corresponding relation of table figure, shows not Same scene or contact；

Multilamellar Tibetan figure can be represented by physical means, includes but not limited to use special machine equipment, scans, computer, Special lighting, special observation angle, special optical instrument etc., a kind of most commonly seen Tibetan figure detection method is a kind of transparent Blooming or plate, cover on table figure, and when position angle is suitable, Tibetan figure will display；

The Tibetan figure of display is combined with table figure, by itself and the inherent corresponding relation of table figure, cashes out different scene or contact；

(3) multilamellar hide figure can be certain interrelated by detection order performance；

Tibetan figure can be that the width under table figure background has image related with table figure, and the multilamellar under table figure hides figure can With by detection order, show certain relatedness, manifesting successively of multilamellar Tibetan figure, may be constructed a width table figure background it Under activity scene, formed with Conventional visual persist the distinguishing animation effect of animation；

(4) every layer of Tibetan figure can constitute the most interrelated with table figure；

Hide figure for each layer can independently necessarily associate with table figure composition, meanwhile, different levels, the Tibetan of different detection order Can also constitute internal association between figure, therefore the combination of the various ways between Biao Tu and multilamellar Tibetan figure may be constructed representability Resource；

(5) every layer of Tibetan figure is shown by inspection sheet, and the image of display can be distinguished by other means；

Tibetan figure can be any word, figure, image, also includes bar code/Quick Response Code etc., and the present invention can be at leaflet Same position hides multi-layer bar code/Quick Response Code, especially Quick Response Code, after every layer of Quick Response Code is shown by inspection sheet, and can be by two dimension Code recognizing apparatus is distinguished；Meanwhile, the multilayer two-dimension code of a position can have internal relation, can be by Quick Response Code Order detection and order recognition, constitute complete information, and this information can be the information that multilayer two-dimension code every layer individually carries, also Can be that the information that multilayer two-dimension code carries combines, individually distinguish different information from every layer of Quick Response Code；

(6) Tibetan figure is not only a kind of means providing extraneous information or image, has a lot of application scenarios, has certain hiding The information of attribute, word or image can more preferably, more relevantly express complete design concept, pass on relatively sharp, the most complete The information in face, such as:

1) multiple attributes of image, object

Image or object may have multiple attributes, such as half be angel's half be devil, if need at piece image Upper expression multiple attributes, traditional leaflet cannot show, and several works can only be used to show.But there is the print of Tibetan figure Brush product, by detecting different Tibetan figures, thus can show the multiple attributes of image or object under a width table figure, and multiple Attribute can be detected by design sequence, expresses complete logic chain requirement；

2) certain meaning of implicit expression

Requiring or under application scenarios in some design, some implication needs implicit expression, if being directly printed on leaflet Surface, the then effect expressed and appeal can decline, and now, utilize the leaflet with Tibetan figure then can effectively make up this Deficiency, can detect, by lenticular lenses, the information that multilamellar is implicit on table figure, then the representability making leaflet is abundanter；

3) represented object or the implicit speciality of event naturally

In traditional printing product, the implicit speciality of object or event needs to use explanatory note or the multiple image can be complete Whole expression.But the Tibetan figure leaflet containing multilamellar base map then intactly can show, such as on a width leaflet: fish jar with not Same fingerling, different background, different light effects；

4) answer of problem or prompting

On textbook or other books, often go wrong and need answer, and the situation furnished an answer.If answer It is directly printed on below exercise question, then may affect thinking independently of answer people；If using the additional answer of annex mode, meeting Very inconvenient and waste time, hide figure mode if used, and Tibetan figure can be placed on any position of exercise question, the most directly Answer base map is printed in selection space, the most i.e. can increase study entertaining, can improve learning efficiency again, and the most square Just；

5) extraneous information of product, link etc.

The extraneous information of the not required that they be so of some product can only be printed on commodity surface or label surface at present, but this Plant printing process and can increase unnecessary pattern, the information that possible covering part is useful to commodity or Commercial goods labels surface, it is possible to The important information that can make commodity or label is interfered, and then can solve this with the Tibetan figure leaflet of multilamellar base map and ask Topic, important and necessary information can be printed on commodity or label list figure, and implicit, not required that they be so or needs are hidden Information (such as anti-counterfeiting information) all can process by the mode of base map detection.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides are also particularly suitable base Make in the Tibetan figure being periodically detected diaphragm, can will hide the definition of figure, contrast optimization, and not damage the quality of table figure.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be effectively improved table figure Quality, expands the Application Range of table figure, applies also for the situation that base map is constant, table figure changes in a large number or changes；When hiding figure, table On figure the edge at the figure of Tibetan seamlessly transit, without vestige, the vestige of multilamellar base map is not seen on table figure surface, and meanwhile, table figure is permissible Being any brightness, the image of any contrast, the gray scale alterable wide ranges of table figure, base map can be hidden in view picture table figure map sheet Below or cover table figure map sheet a part, the base map during figure of justifying Tibetan can be periodic repeat patterns, it is also possible to be certain Individual single picture；Make that suppressible base map modulation amplitude is big, contrast is high, good visual effect, resolution high, base map can also Being the least word or image, after hiding figure, base map high definition, close to inspection sheet line number；The color range scope of Tibetan figure can be effectively improved, permissible In the range of gamut, high-fidelity hides figure, can guarantee that 5% to 90% is visible, and 10% to 80% is clear, it is also possible to is hidden by base map In several different color ranges or cover continuously certain color range scope, more preferably greater than the color range scope of 20%, such as, from 30% To 70%, more such as, from 15% to 40%.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides are not schemed by concrete Tibetan The impact of modulation system, the most applicable to various Tibetan drawing method, a certain color separation can be carried out the hybrid multilayer Tibetan figure of various ways； Multiple color separations or each color separation can be carried out Tibetan figure independently, make the content of Tibetan figure and technical skill enrich greatly, Representability and the function of carrying information of Tibetan figure can be effectively improved；Definition and contrast when can detect each layer base map are made Control independently, has it will be apparent that also have so hiding that to be the most deeply difficult to illusion, thus, it is provided that the expression of different levels Means, meet the representability demand of different levels；One base map can be divided into several part, ensconce in several monochrome respectively, In this case, only detection diaphragm detects the spirte ensconced in each monochrome integrated display, base map just meeting simultaneously Display.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides can be hidden under table figure Hide three-dimensional base map, through corresponding detection means, stereoeffect can be shown；Can also by the base map of hiding special handling, When inspection sheet is fixed in respective angles, along with angle and the change at visual angle of illumination, produce different effects；Can also be by inspection Sheet rotates or translation, and under table figure background, the base map order of different levels manifests, and forms unique animation effect；Can hide The code category information such as multi-layer bar code, Quick Response Code, it is possible to utilize all kinds of barcode scanning equipment to distinguish after Figure recognition, therefore, The application present invention can also provide extra digital code information or link, greatly abundant and support matrix figure.

Leaflet representability Enhancement Method based on high-fidelity Tibetan figure and system that the present invention provides make Tibetan figure manufacturing process Simply, do not change former plate-making, typography, do not use special consumptive material, the most additionally increase printing cost, just solve when printing Hide figure problem, it is not necessary to print post processing, it is adaptable to various printing technologies, various printing element, the configuration of surface of various base material, its In, printing technology include but not limited to the intaglio printing of conventional graphic arts printing technology, letterpress, lithographic printing, porous printing, Offset printing, flexo, silk screen printing etc., the ink-jet of digital printing technology, electrostatic, thermal transfer, heat sublimation, silver salt flushing etc., extraordinary print The label printing of brush, pipe printing etc., printing element include but not limited to all kinds of paper, cardboard, corrugated board, soft and hard plastic, Composite, organic material, metal, alloy, metal forming, glass, timber, leather, special cloth etc., it is possible in plane or curved Figure and reduction is hidden in curved surface.

Last it is noted that various embodiments above is only in order to illustrate technical scheme, it is not intended to limit；To the greatest extent The present invention has been described in detail by pipe with reference to foregoing embodiments, it will be understood by those within the art that: it depends on So the technical scheme described in foregoing embodiments can be modified, or the most some or all of technical characteristic is entered Row equivalent；And these amendments or replacement, do not make the essence of appropriate technical solution depart from the claims in the present invention and limited Fixed scope.

Claims (20)

1. the leaflet representability Enhancement Method hiding figure based on high-fidelity, it is characterised in that the method includes:

(a) input table figure and at least one base map；

B () carries out high-fidelity Tibetan figure numeral linked network according to the requirement setting mode of printing to described table figure, obtain for setting print The high-fidelity halftone screen figure keeping base map of each monochrome of brush mode, at least one of which monochrome table figure keeps base map；Described The method of high-fidelity Tibetan figure numeral linked network is for distortion prediction and Optimization Compensation, the described each list obtained setting mode of printing The high-fidelity halftone screen figure keeping base map of color；

C described high-fidelity halftone screen figure after Optimization Compensation is completed by () by setting mode of printing corresponding follow-up work program Printing, the high-fidelity leaflet containing base map of output full color；The described high-fidelity leaflet containing base map is better than Biao Tu and base map The discrete image combination leaflet printed respectively or base map overlap the leaflet on table figure with the form manifested；

D () selects the detection means corresponding with during the figure process of Tibetan, the described high-fidelity leaflet obtaining printing detects, Manifest hiding base map, exist interrelated between described table figure and at least one hiding base map, by described mutual pass Connection realizes the purpose that leaflet representability strengthens.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that described High-fidelity Tibetan figure numeral net hanging method is a kind of based on the high-fidelity Tibetan figure numeral net hanging method directly revised, described based on directly It is for setting mode of printing that the high-fidelity revised hides figure numeral net hanging method, and with linked network, figure modulation in described table figure Sutra-Pitaka is hidden figure After halftone screen figure directly print after the distortion prediction of image quality and Optimization Compensation.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that described High-fidelity Tibetan figure numeral net hanging method is a kind of digital net hanging method based on high-fidelity Tibetan figure screen, described based on high-fidelity Tibetan The digital net hanging method of figure screen halftone screen figure after linked network Tibetan figure is modulated of each color range of screen is carried out distortion prediction and Compensating approach, sets up a high-fidelity Tibetan figure screen being all suitable for any table figure, hides figure screen to described by described high-fidelity Table figure carries out linked network.

4., according to the leaflet representability Enhancement Method hiding figure based on high-fidelity described in claim 1,2 or 3, its feature exists Some or multiple attribute to periodic, acyclic or random site or netting twine is included in, described Tibetan figure mode Being modulated by base map, described attribute includes angle, phase place, size, shape, density, frequency, position and gray scale.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that if Described table figure is coloured image, described table figure is divided in described step (b) RGB trichromatic diagram or CMYK tetra-chromatic graph or other are many Chromatic graph or add many chromatic graphs of other spot colors；If described table figure is gray-scale map, described in described step (b), table figure only has black A kind of chromatic graph.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that described Setting mode of printing as intaglio printing, letterpress, lithographic printing, porous printing, offset printing, flexo, silk screen printing, label prints Brush, pipe printing, ink-jet, electrostatic, thermal transfer, heat sublimation or silver salt rinse.

7. according to the leaflet representability Enhancement Method hiding figure based on high-fidelity described in claim 1 or 3, it is characterised in that The described mode of printing that sets as VDP, variable image printing or digital printing.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that described Base map is portrait, icon, word, numeral, date, series number, bar code, Quick Response Code, pattern, decorative pattern or other black and white, gray-scale map Picture.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that described Interrelated for cause effect relation, membership relation, parallel relation, complementary relationship, sequence relation, surface and constitutive relations, the exterior and the interior pass System, context, question and answer relation, prospect background relation, same sex differential mode relation, dominant recessive relation, same object multiple attributes Relation, locally whole relation, real and illusory relation, implicit expression Special Significance, position corresponding relation, same object are different The relation of the form under scene or same object or scene are in the relation of the form of different time.

The leaflet representability Enhancement Method hiding figure based on high-fidelity the most according to claim 1, it is characterised in that its High-fidelity leaflet is packaging, books, picture, card, juvenile reading materials, caricature, textbook, teaching reference book, workbook or book Album.

The 11. leaflet representability Enhancement Method hiding figure based on high-fidelity according to claim 1, it is characterised in that its Detection means is optical scanning, graphical analysis, extraordinary imaging, other machines identification, special lighting, special observation angle, covering Membrane module or other artificial means of identification；Described covering membrane module is the film block of printing, optical decoder membrane module, rule Irregular or random micro-optics device array, line grating film block or polka-dot raster film block.

The 12. leaflet representability Enhancement Method hiding figure based on high-fidelity according to claim 1, it is characterised in that its Detection means identifies for interim or identify for a long time, described is identified as a long time by detection membrane block to described high-fidelity leaflet for good and all Cover or bonding.

13. 1 kinds of leaflet representability enhancing systems hiding figure based on high-fidelity, it is characterised in that this system includes:

Module (601) is analyzed in leaflet design, analyzes for Tibetan figure leaflet carries out early stage design, analyzes the performance of leaflet Orbution between internal relation between content, every content, every content, every relation manifestation mode；

Module (602) is analyzed, for analyzing the table figure of input, the characteristic of base map and user's requirement, it is provided that further set before print Meter parameter, including parameter, detection means or the design optimization parameter of tanka；

Parameter generation module (603), refines for the design parameter exporting analysis module (602) before print, determines concrete Parameter is arranged or the span of parameter；

High-fidelity hides figure numeral linked network module (604), is used for realizing high-fidelity Tibetan figure numeral linked network, at the full-color color table of high-quality Under figure, hide base map, form each monochromatic halftone screen figure optimized；

Printing image fault prediction module one (605), for setting each monochromatic halftoning digital network figure formed after modulation Under mode of printing, require parameter according to default table plot quality, issuable distortion after printing is predicted assessment, also uses Calculate through colour superimposition in each monochrome that will the obtain high-fidelity halftone screen figure containing base map, the face of counterweight poststack printing image The defect that normal complexion table figure multilated site may be brought is made prediction assessment；

Image fault compensation optimizing module one (606), for the assessment obtained according to printing image fault prediction module one (605) Parameter and existing site state, carry out corresponding Optimization Compensation by each monochromatic halftoning digital network figure, be additionally operable to according to color weight The parameter that after folded calculating, forecast assessment obtains, optimizes benefit accordingly to each monochrome high-fidelity halftone screen figure containing base map Repay, each monochromatic high-fidelity halftone screen figure optimized further；

Optimum results determination module one (607), after being used for judging described image fault compensation optimizing module one (606) Optimization Compensation Halftoning digital network figure whether reach to preset optimization aim, if reaching requirement, then by height containing base map of each monochrome of obtaining Fidelity halftoning digital network figure exports, and otherwise, the halftoning digital network figure after Optimization Compensation is returned described printing image fault Prediction module one (605)；

Plate making printing module (608), each monochromatic halftone screen figure output after optimizing, by setting, print system is corresponding Follow-up work program completes printing, obtains the high-fidelity leaflet containing base map of full color；

Detection module (609), for high-fidelity leaflet is detected, the base map that display is hidden, reach leaflet representability The purpose strengthened.

14. Antiforge systems hiding figure based on high-fidelity according to claim 13, it is characterised in that analyze mould before described print Block (602) including:

Table figure input module (6021), is used for inputting table figure；

Base map input module (6022), is used for inputting base map；

Design parameter input module (6023), for In-put design parameter；

Image analysis module (6024), for analyzing table figure, base map and the design parameter of input；

Analyze output module (6025) before print, be used for exporting the analysis result of described image analysis module (6024).

15. Antiforge systems hiding figure based on high-fidelity according to claim 13, it is characterised in that described parameter generates mould Block (603) including:

Analysis result input module (6031) before print, analyzes, before being used for inputting print, the analysis result that module (602) exports；

Parameter input module (6032), for inputting color, figure layer, modulation and the requirement of frequency parameter；

Parameter generation module (6033), is arranged or span for generating the concrete of design parameter；

Parameter output module (6034), the parameter set for output.

The 16. leaflet representability enhancing systems hiding figure based on high-fidelity according to claim 13, it is characterised in that institute State high-fidelity Tibetan figure numeral linked network module (604) to include:

Table figure color separation module one (604A1), for the table figure of input is carried out color separation, obtains each monochromatic table figure；

Linked network module (604A2), for entering each monochromatic table figure after described table figure color separation module one (604A1) color separation respectively The conventional linked network of row；

Site modulation module one (604A3), for the figure according to base map and the specific requirement of Tibetan figure, sets modulation parameter, really Determine debud mode, carry out site modulation, complete Tibetan figure, export the halftoning digital network figure after the modulation of each monochrome；

Printing image fault prediction module two (604A4), under setting mode of printing, according to default print system parameter Parameter is required, the halftoning numeral of each monochrome formed after described site modulation module one (604A3) is modulated with table plot quality After net figure printing, issuable distortion is predicted assessment, is additionally operable to contain each monochrome obtained the high-fidelity halftoning of base map Net figure calculates through colour superimposition, and the defect that the color of counterweight poststack printing image and Biao Tu multilated site may be brought is made Forecast assessment；

Image fault compensation optimizing module two (604A5), for obtaining according to described printing image fault prediction module two (604A4) The assessment parameter arrived and existing site state, carry out corresponding Optimization Compensation by each monochromatic halftoning digital network figure, be additionally operable to root The parameter that after calculating according to colour superimposition, forecast assessment obtains, is carried out each monochrome high-fidelity halftone screen figure containing base map accordingly Optimization Compensation, each monochromatic high-fidelity halftone screen figure optimized further；

Optimum results determination module two (604A6), is used for judging that described image fault compensation optimizing module two (604A5) optimizes and mends Whether the halftoning digital network figure after repaying reaches to preset optimization aim, if reaching requirement, then each monochrome obtained is contained base map High-fidelity halftoning digital network figure output, otherwise, by after Optimization Compensation halftoning digital network figure return described printing image Distortion prediction module two (604A4)；

Halftone screen figure output module (604A7) optimized, the final each monochromatic halftone screen figure output after optimizing.

The 17. leaflet representability enhancing systems hiding figure based on high-fidelity according to claim 13, it is characterised in that institute State high-fidelity Tibetan figure numeral linked network module (604) to include:

Table figure color separation module two (604B1), for the table figure of input is carried out color separation, obtains each monochromatic table figure；

High-fidelity hides figure screen generation module (604B2), hides figure screen for creating high-fidelity；

Table figure color separation figure linked network module (604B3), for hiding figure net by each achromatic map after table figure color separation by described high-fidelity The corresponding high-fidelity Tibetan figure screen that screen generation module (604B2) creates carries out linked network, exports the high-fidelity Tibetan figure of each monochrome Halftone screen figure.

The 18. leaflet representability enhancing systems hiding figure based on high-fidelity according to claim 17, it is characterised in that institute State high-fidelity Tibetan figure screen generation module (604B2) to include:

Color range linked network module (604B21) is single for certain color stage one picture being sized size of filling obtains one The gray-scale map of color range, then by conventional linked network, obtains the halftone screen figure of this color range；

Site modulation module two (604B22), is used for the design objective according to Tibetan figure and base map parameter request half to described color range Tone net figure sets modulation parameter, determines debud mode, carries out site modulation by base map, and this color range after figure modulation is hidden in output Halftone screen figure；

Printing image fault prediction module three (604B23), for the halftone screen being modulated the single color range after disturbance by base map Figure issuable distortion in printing process is predicted assessment；

Image fault compensation optimizing module three (604B24), for according to described printing image fault prediction module three (604B23) The assessment parameter obtained and existing site state, carry out corresponding correction-compensation and optimization to single color range net figure, obtain single Net figure after the optimization keeping base map of color range；

Optimum results determination module three (604B25), the halftoning digital network figure of the single color range after judging Optimization Compensation is No reaching presets optimization aim, if reaching requirement, then each single color range obtained contains the high-fidelity halftoning numeral of base map Net figure output, otherwise, returns the halftoning digital network figure after Optimization Compensation to described printing image fault prediction module three (604B23)；

Screen synthesis module (604B26), the half-tone picture through correction-compensation and optimization of each color range for obtaining synthesizes Being a screen, i.e. corresponding monochromatic high-fidelity hides figure screen.

19. according to the leaflet representability enhancing system hiding figure based on high-fidelity described in any one of claim 13 to 18, its Being characterised by, each described printing image fault prediction module includes:

Site input module one (1201) after modulation, half color of the single color range of output after receiving corresponding site modulated process Adjust digital network figure or the halftoning digital network figure of table figure, as the input quantity of this printing image fault prediction module；

Printing parameter module (1202), is used for setting mode of printing and parameter；

Relatively parameter setting module (1203), the halftone screen figure of this color range before standard color range or Tibetan figure are set and Tibetan figure After the Comparative indices of halftone screen figure of this color range, or original table figure with hide the halftone screen chart figure after figure or color is overlapping After the Comparative indices of halftone screen chart figure；

Comparison algorithm module (1204), is used for setting comparison pattern and comparative approach, compares the half of the single color range of certain after the figure of Tibetan Tone net figure and standard color range or the halftone screen figure of this color range before hiding figure, or compare the halftone screen figure after the figure of Tibetan and Tibetan figure Front halftone screen figure or original table figure；

Distorted result output module (1205), is used for exporting the distortion prediction result that described comparison algorithm module (1204) obtains.

20. according to the leaflet representability enhancing system hiding figure based on high-fidelity described in any one of claim 13 to 18, its Being characterised by, each described image fault compensation optimizing module includes:

Site input module two (1301) after modulation, the halftoning number of the single color range of output after receiving site modulated process The halftoning digital network figure of word net figure or table figure, as an input quantity of this image fault compensation optimizing module；

Distorted result input module (1302), for receiving what prediction in corresponding described printing image fault prediction module obtained Distortion prediction result, as another input quantity of this image fault compensation optimizing module, the i.e. foundation of Optimization Compensation；

Parameters optimization arranges module (1303), the relevant parameter during arranging Optimization Compensation；

Optimization algorithm module (1304), for predicting, according in corresponding described printing image fault prediction module, the distortion obtained Predict the outcome the half of the halftone screen figure to the single color range that described site input module two (1301) after modulation receives or table figure Tone digital network figure is optimized compensation；

Optimize site output module (1305), half color after the Optimization Compensation described optimization algorithm module (1304) obtained Digital network figure is adjusted to export to corresponding described optimum results determination module.