CN101098381A - Image processing apparatus and image processing method - Google Patents
Image processing apparatus and image processing method Download PDFInfo
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- CN101098381A CN101098381A CNA2007101126488A CN200710112648A CN101098381A CN 101098381 A CN101098381 A CN 101098381A CN A2007101126488 A CNA2007101126488 A CN A2007101126488A CN 200710112648 A CN200710112648 A CN 200710112648A CN 101098381 A CN101098381 A CN 101098381A
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Abstract
An image processing apparatus embedding information in an image by combining multiple predetermined patterns with the image is disclosed that includes a level determination part configured to determine at least one of the levels of conditions to be added regarding the disposition of the predetermined patterns, to which at least one of the levels the information to be embedded belongs; and a pattern combining part configured to combine the predetermined patterns with the image in accordance with the condition corresponding to the information to be embedded at the determined at least one of the levels. If the information to be embedded belongs to two or more of the levels, the pattern combining part combines the predetermined patterns so that the conditions corresponding to the information to be embedded are satisfied at the two or more of the levels.
Description
Technical field
The present invention relates to image processing apparatus, image processing method and image processing program, particularly image processing apparatus, image processing method and the image processing program of embedding information or information extraction from image in image.
Background technology
Image processing techniques and definition technique make in nearest improvement and can use digital color copier to make the reliable autotype of bill or security (valuable paper) that this autotype is not easy to distinguish mutually with their original genuine piece.Therefore, for example be necessary to manage to make the special material for bill and security not to be copied fully or correctly.
Further, for example, in office of company, common material (file) but not for example also comprise many classified papers of forbidding output (for example duplicating) according to the confidentiality of content for the special material of bill and security.Be necessary equally to manage to make that such classified papers can not be copied fully or correctly.
Therefore, usually, produce that various inventions suppress special material or classified papers are copied.For example, if Japanese Laid-Open Patent Application proposed for 2004-274092 number a kind of when adopting the scanner reading images from image detection to predetermined dot pattern then prevent the technology of image output.Accordingly, can stop the regeneration of duplicating the classified papers that are restricted effectively by in classified papers, embedding predetermined dot pattern in advance.
Yet according to the technology that Japanese Laid-Open Patent Application discloses for 2004-274092 number, although can stop the duplicating of classified papers effectively, it only is whether file is secret, and just, it only is the information that can embed a bit in the file.In the case, if can embed more information, this can carry out more flexible security control.For example, can provide a kind of application program, its title according to the user (position) determines whether authentication in conjunction with authentification of user or forbids duplicating.
Yet, embed copying control information and come simply information with a bit to determine whether to authenticate or the classified papers of the printing background dot pattern forbidding duplicating are general since have, and carry out duplicating by the detection copying control information and forbid that the photocopier of controlling is widely used, therefore, the information of other several bits of expectation can embed and is consistent with existing background dot pattern.Just, using the conventional detector that only can detect a bit information to read under the situation of the secret original text that except a bit information, has further embedded several bit informations, and, can detect at least one bit information using the detector that can detect several bits to read under the situation of the traditional classified papers that only embed a bit information.
Summary of the invention
According to one aspect of the present invention, a kind of image processing apparatus, image processing method and image processing program are provided, it can suitably increase the amount of information that the amount of information that can be embedded in the image maybe can be extracted from image.
According to one aspect of the present invention, a kind of image processing apparatus is provided, by a plurality of predetermined images and image sets are combined in embedding information in this image, comprise: the grade determination portion, be used for determining at least one grade of the grade of the condition that will increase relevant with the deployment of described predetermined pattern, described at least one grade is the affiliated grade of the described information that will embed; And combinations of patterns portion, be used for foundation and the corresponding condition of information that will on determined at least one grade, embed, with described predetermined pattern and the combination of described image; Wherein, if the described information that will embed belongs to two or more grades, then combinations of patterns portion makes up described predetermined pattern, makes to satisfy and the corresponding condition of the described information that will embed in described two or more grades.
According to one aspect of the present invention, a kind of image processing apparatus is provided, be used for extracting the information that is embedded into an image, comprising: pattern detection portion is used for from described image detection predetermined pattern; And information extraction portion, be used for each grade in the condition that increases about described predetermined pattern, be extracted in the information that this grade embeds by the condition that will the information relevant be applied to be in this grade with the deployment of detected pattern.
According to one aspect of the present invention, a kind of image processing method is provided, by with the combination of a plurality of predetermined patterns and image and information is embedded into described image, comprise step: determine at least one grade in the grade of the condition that will increase relevant with the deployment of described predetermined pattern, described at least one grade is the affiliated grade of the described information that will embed; And foundation and the corresponding condition of information that will on determined at least one grade, embed, with described predetermined pattern and the combination of described image; Wherein, if the described information that will embed belongs to two or more grades, then described combination step makes up described predetermined pattern, makes the condition that satisfies the described information correspondence that will embed in described two or more grades.
According to one aspect of the present invention, a kind of image processing method is provided, be used for extracting the information that is embedded into an image, comprise step: from described image detection predetermined pattern; And in each grade of the condition that increases about the deployment of described predetermined pattern, by the information relevant with the deployment of detected pattern being applied to be extracted in the information that this grade embeds in the condition of this grade.
According to above-mentioned image processing apparatus and image processing method, can suitably increase the amount of information that the amount of information that can be embedded in the image maybe can be extracted from image.
Further,, also provide a kind of image processing program, be used for making computer to carry out any method of above-mentioned image processing method according to one aspect of the present invention.
Therefore, according to embodiments of the invention, can provide image processing apparatus, image processing method and image processing program, it can suitably increase the amount of information that the amount of information that can be embedded in the image maybe can be extracted from image.
Description of drawings
When reading in conjunction with the accompanying drawings, will understand other purposes of the present invention from the following detailed description easilier, feature and advantage, wherein:
Fig. 1 is the diagram that has shown according to the example points pattern that uses in one embodiment of the invention;
Fig. 2 has shown according to the diagram embodiment of the invention, that made up the image of dot pattern;
Fig. 3 is for having shown according to the dot pattern of the embodiment of the invention by one-level (level-one) method and the diagram of the example combination of image;
Fig. 4 has shown according to the dot pattern of the embodiment of the invention by two level methods and the diagram of the example combination of image;
Fig. 5 has shown according to the dot pattern of the embodiment of the invention by three level methods and the diagram of the example combination of image;
Fig. 6 has shown diagram according to graduation (layer) structure of the information of the embedding of the embodiment of the invention for conceptization ground;
Fig. 7 is the diagram of functional configuration that information embeds the image processing apparatus of function that has that has shown according to the embodiment of the invention;
Fig. 8 is the diagram that has shown according to the configuration of the one-level dot pattern generating unit of the image processing apparatus of Fig. 7 of the embodiment of the invention;
Fig. 9 is the diagram that has shown according to the configuration of the secondary points pattern generating unit of the image processing apparatus of Fig. 7 of the embodiment of the invention;
Figure 10 is the diagram that has shown according to the configuration of three grades of dot pattern generating units of the image processing apparatus of Fig. 7 of the embodiment of the invention;
Figure 11 is the flow chart that is used to illustrate the information that embeds by the image processing apparatus according to Fig. 7 of the embodiment of the invention;
Figure 12 is the form that has shown according to the corresponding relation between security classification and relative angle of the embodiment of the invention;
Figure 13 is the form that has shown according to the corresponding relation between the sequence of user name and basic pattern and additional pattern of the embodiment of the invention;
Figure 14 is the diagram that has shown according to the hardware configuration of the image processing apparatus with information extraction function of the embodiment of the invention;
Figure 15 is the diagram that has shown according to the configuration of the configuration of the pattern detection portion in the one-level detector of the embodiment of the invention and information extraction portion;
Figure 16 be shown according to the embodiment of the invention, wherein dot pattern is with the diagram of the pattern dictionary of the pattern of 22.5 ° of rotations of increment;
Figure 17 is the diagram that has shown according to the configuration of the configuration of the pattern detection portion in the secondary detection device of the embodiment of the invention and information extraction portion;
Figure 18 is the diagram that has shown according to the configuration of the configuration of the pattern detection portion in three grades of detectors of the embodiment of the invention and information extraction portion;
Figure 19 is the flow chart that is used to illustrate that the image processing apparatus of the Figure 14 by the foundation embodiment of the invention carries out information extraction;
Figure 20 is the flow chart that is used to illustrate according to the one-level information extraction of the embodiment of the invention;
Figure 21 is used to illustrate the flow chart that extracts according to the second-level message of the embodiment of the invention;
Figure 22 is the flow chart that is used to illustrate according to three grades of information extractions of the embodiment of the invention.
Embodiment
Provide the description of one embodiment of the invention with reference to the accompanying drawings.In the present embodiment, provided the description that embeds device, method and the program of information, wherein, this information is to make up this image (dot pattern is superimposed upon on this image) by the pattern (after this being called " dot pattern ") that a plurality of points in the image are formed to represent.Further, provide test point pattern from the image that has made up dot pattern, and extracted the description of device, method and the program of the information of representing by detected dot pattern.
For example, followingly can be used as dot pattern.Fig. 1 is the diagram that has shown the example points pattern that uses in the present embodiment.Consult Fig. 1, dot pattern a is formed by three points with relative position relation.When enforcement was of the present invention, the quantity that forms the point of a single point pattern can be three or more.Further, dot pattern needn't be by forming.For example, figure can be formed by the combination of line segment or line segment and point.
Fig. 2 is the diagram that has shown the image that has made up dot pattern.Fig. 2 has shown the situation of dot pattern a and image 500 repeated combinations.In the present embodiment, provided the description that in image, embeds the technology of information by such repeated combination dot pattern and image.
By with dot pattern a and image combination, a bit information can be embedded in the image at least.In the present embodiment, will be called " one-level method " (" level-one method ") by the method that makes up or combined spot pattern a does not embed information, and the information that is embedded by this method is called " one-level information ".Accordingly, the condition relevant with the deployment of dot pattern in embedding one-level information be, has the dot pattern a of predetermined quantity (〉=2) and/or be equal to the dot pattern of the dot pattern a that has rotated unspecified angle.Just, in one-level, dot pattern a on image angle and location independent critical.It is necessary to have only dot pattern a some position on image to be only with the combination of some angle and image.Angle and the location independent of dot pattern a are critical, mean equally, if dot pattern and image sets fashionable for the speed that increases extraction or hardware constraints and only in the finite region of image with dot pattern and image combination, then on image dot pattern can with the presumptive area of the image of image combination in, the angle and the location independent of dot pattern are critical.Same viewpoint can be applied to the following description about disposing.
Here, in order to stop determining of mistake, that is, the detection of predetermined quantity or more dot pattern is defined as condition.For example, suppose the existence of at least one dot pattern is defined as condition.In the case, if comprise as the part of the image of the point of picture element consistently with dot pattern a by chance, then be defined as the combination of dot pattern a and image mistakenly.Correspondingly, on the principle, the combination of at least one dot pattern can be defined as condition.Yet,, under the situation of hypothesis a plurality of dot pattern a and image combination as shown in Figure 2, expect the existence of the dot pattern of the predetermined quantity at least in the image is defined as the one-level condition with the viewpoint of practical application.
Fig. 3 is the diagram that has shown by the image of one-level method combined spot pattern.In Fig. 3, omitted the picture element (picture in house) of image 500 for convenience of description.Further, the arrow among Fig. 3 provides the orientation that is used to indicate each dot pattern a (angle), and does not have picture element on Figure 50 0.Fig. 3 has shown on any position of image 500 dot pattern a and/or aforesaid being equal to has been rotated the dot pattern of dot pattern a and the situation of image 500 combinations at any angle.In Fig. 3, for convenience of description with four dot patterns and image 500 combinations.Yet, in practice, according to the more dot pattern of accuracy of detection best combination.
If added the further restriction relevant, then information grading ground can be embedded in the image 500 with the deployment of dot pattern a.In the present embodiment, provided the description that the situation of implication (information) is provided for the relative angle of dot pattern a of combination.For example, with predetermined quantity or more dot pattern a or be equal to and rotate the dot pattern of dot pattern a (after this being called " basic pattern ") and image combination at any angle, and, with predetermined quantity or more, be equal to and rotate dot pattern of basic pattern (after this being called " additional pattern ") and image combination at any angle.Therefore, can embed information with the relative angle between basic point pattern and the annex point pattern.Here, according to accuracy of detection, the quantity of basic pattern is preferably identical or identical substantially with the quantity of additional pattern.In the present embodiment, the method that embeds information like this is called " two level methods ", and will be called " second-level message " by the information that this method embeds.Accordingly, the condition relevant with the deployment of dot pattern in embedding second-level message be, storing predetermined quantity or more basic pattern and predetermined quantity or more additional pattern.
According to secondary (level-two), can suitably embed the information of several bits by the relative angle between change basic pattern and the additional pattern.The maximum of the relative angle between basic pattern and the additional pattern is 180 °.Accordingly, can be 8 values (grade) at interval by this relative angle being quantified as with 22.5 °.In the present embodiment, consider grasp ability (holdability) described below three grades (three grades grasp), the service condition relative angle does not come embedding information for 0 °.Accordingly, be that unit carries out under the situation about quantizing with 22.5 °, relative angle can 22.5 ° * n of value (1≤n≤8).
Fig. 4 has shown the diagram by the example image of two level method combined spot patterns.In Fig. 4, for convenience of description, omitted the picture element (picture in house) of image 500.Further, the arrow among Fig. 4 provides the orientation that is used to indicate each dot pattern a (angle), and does not have picture element on the image 500.Fig. 4 has shown the situation that two dot patterns being equal to two dot pattern a with this dot pattern a of 45 ° of rotation and image 500 make up.Because relative angle makes a difference at secondary, therefore, as for who be basic pattern who be that additional pattern is then unimportant.Just, be called " basic pattern " or " additional pattern " only for convenience and with pattern.This is to be defined as accuracy of detection in the condition of secondary in order to improve detection with predetermined quantity or more basic pattern and predetermined quantity or more additional pattern.Accordingly, although in Fig. 4, basic pattern and additional pattern all have only two and image 500 combinations, and what expect is to make up more dot pattern according to practical application.
As dot pattern a or with rotate the result that dot pattern that dot pattern a at any angle is equal to exists, can detect one-level information from image shown in Figure 4 500.Further, can detect second-level message based on the relative angle between basic pattern and the additional pattern.Therefore, information is embedded in two layers (grade) of image 500 of Fig. 4.
Further, use the dot pattern a among Fig. 4 to form the dot pattern that can detect second-level message.Selectable, can use the dot pattern (after this being called " dot pattern b ") that is different from dot pattern a to embed second-level message equally.Under the situation of using dot pattern b, can be one-level information with the information extraction that does not have combined spot pattern a, and can will be second-level message based on information extraction dot pattern b, that represent by relative angle as basic pattern.
In the feature that keeps secondary simultaneously, can increase the quantity that can be embedded into the Information Level in the image 500 by adding other conditions (restriction) relevant with the deployment of dot pattern a.In the present embodiment, provided the description that the relative position for basic pattern and additional pattern is provided the situation of implication (information).Just, can be coming embedding information with the basic pattern of image combination and the ordering (sequence) of additional pattern.In the present embodiment, this method that embeds information is called " three level methods ", and the information that method is thus embedded is called " three grades of information ".Accordingly, the condition relevant with the deployment of dot pattern in embedding three grades of information be, has predetermined quantity or more basic pattern and predetermined quantity or more additional pattern, and basic pattern and additional pattern form predetermined sequence.The secondary condition be can to keep in order making, at least one basic pattern and at least one additional pattern to be comprised in this sequence.Further, according to accuracy of detection, the quantity of the basic pattern that comprises in this sequence is preferably identical with the quantity of additional pattern or identical substantially.
According to these three grades (level three), can embed the information of dozens of or more bits by the combination that changes two kinds of patterns in this sequence.For example, suppose that the basic pattern of same quantity and additional pattern are combined in a sequence.In the case, at this sequence length of hypothesis (quantity or the sequence length of the predetermined pattern that can in single sequence, make up) when the M, the quantity of the combination of this sequence be M! / ((M/2)! * (M/2)! ).Accordingly, can embed log
2/ ((M/2)! * (M/2)! ) information of individual bit.
Fig. 5 is the diagram that has shown with the example image of three level method combined spot patterns.In Fig. 5, omitted the picture element (house photo) of Figure 50 0 for convenience of description.Further, arrow among Fig. 5 and dotted line provide orientation (angle) or the regional border that is used to indicate each dot pattern a, and do not have picture element on Figure 50 0.Consult Fig. 5, image 500 is divided into as four zones by the dotted line indication.Fig. 5 has shown the situation that basic pattern and additional pattern are arranged with the sequence of upper left, upper right, lower-left and bottom right.Under the situation of Fig. 5 because sequence length (M) is four, therefore exist 4! / (2! * 2! )=6 kind of combination.Here, suppose that basic pattern and additional pattern are respectively " 1 " and " 0 ",, embedded the information " 0110 " of four bits in the image 500 of Fig. 5 then at three grades.Just, because at three grades, basic pattern has been distributed different separately values with additional pattern, therefore, is necessary to discern respectively basic pattern and additional pattern.Consequently, requirement has more high-precision operation or handles information extraction.
In Fig. 5, because Fig. 5 has shown that sequence length is four situation, therefore, than the situation of above-mentioned secondary, has reduced denotable amount of information for convenience of description.Yet in the reality, sequence length can further increase.For example, denotable amount of information arrives about 100 bits for the dozens of bit on the paper of A4 size.
According to better accuracy of detection, can be converted to error correction coding for several times or by a part by the sequence that on image, repeats to provide identical with sequence, come embedding information.Consequently, though dot pattern go up or on image, become dirty in picture element (character, letter or picture) to stop when correctly reading, also can be with high precision information extraction.
As dot pattern or with rotate the result that dot pattern that dot pattern a at any angle is equal to exists, can from image shown in Figure 5 500, detect one-level information.Further, can detect second-level message based on the relative angle between basic pattern and the additional pattern.And, can be based on three grades of information of Sequence Detection of basic pattern and additional pattern.Therefore, information is embedded in three layers (grade) of image 500 of Fig. 5.This is shown by conceptization ground in Fig. 6.
In Fig. 5, use dot pattern a to form the dot pattern that can detect three grades of information from it.Selectable, the dot pattern (after this being called " dot pattern c ") that also can use dot pattern b or be different from dot pattern a and b embeds three grades of information.Under the situation of using dot pattern b, the information that does not have combined spot pattern a can be extracted as one-level information, to extract as second-level message based on the information that the relative angle of the dot pattern b that is used as basic pattern is represented, and the information that the sequence of dot pattern b is represented extracts as three grades of information.Under the situation of using dot pattern c, the information that will not make up according to the pattern of corresponding level extracts as one-level information and second-level message, and the information that the sequence of dot pattern c is represented extracts as three grades of information.
Fig. 6 has shown the diagram of graduation (layer) structure of the information that embeds for conceptization ground.Fig. 6 has shown relative angle has been quantified as eight values (grade) about secondary.Under the situation of the one-level information that only embeds a bit, only need to exist dot pattern a and/or with rotate the dot pattern that dot pattern a at any angle is equal to, and, can have between the pattern that relative angle is poor arbitrarily.If expectation further embeds the second-level message of several bits, then not only need to exist dot pattern a and/or with rotate the dot pattern that dot pattern a at any angle is equal to, but also need the relative angle difference between basic pattern and the additional pattern to remain certain angle (predetermined differential seat angle, for example 45 °).Yet, if expectation further embeds dozens of bit or more three grades of information, then not only need basic pattern, additional pattern and the relative angle that is always certain angle between the two poor, but also need place the pattern that these have the relative angle difference in a predetermined manner.Further, from one-level, the extraction of information is carried out on the order graduation ground that makes progress according to grade.The easy degree of information extraction uprises along with grade and reduces.
Just, in one-level, identification (determining) dot pattern a and/or with the existence of rotating the dot pattern that pattern a at any angle is equal to or do not exist only.Therefore, the image-region possibility less (limited) that when identification icon, relates to, and, only need to discern the pattern of predetermined quantity for the numerous patterns on the image.Accordingly, the one-level that is extracted in of information is the easiest.
At secondary, further need the inclination of correct identification icon.Accordingly, the extraction of information is compared in one-level more difficult.
At three grades, further need the relevant information of deployment of the two kinds of patterns on correct identification and the entire image with relative angle difference.Accordingly, the extraction of information is the most difficult.Further, owing to need distinguish between basic pattern and additional pattern, therefore, original material should linearly be placed when being scanned.Yet, can go up at the image (image of scanning) that obtains by scanning and carry out skew corrected.The algorithm that is used for skew corrected is not limited to specific, and can adopt known algorithm.Accordingly, omitted the detailed description of skew corrected.
About firsts and seconds, in sweep time, the inclination of original material is relatively limited to the influence of the precision of information extraction.This is because in one-level, the angle of dot pattern a is unimportant, and at secondary, has only the relative angle between basic pattern and the additional pattern to make a difference.
Next, device, method and program with reference to according to grade embedding of above-mentioned one-level to three or information extraction provide description.
At first, be given in the description of the information that embeds in the image.Fig. 7 is the diagram that has shown the functional configuration of the image processing apparatus 10 with information embedding function.Consult Fig. 7, image processing apparatus 10 is by the dot pattern and the image combination that are equal to dot pattern a or with postrotational dot pattern a and information is embedded in the image, and it comprises that image data acquisition portion 11, information input unit 12, one-level dot pattern generating unit 13, secondary points pattern generating unit 14, three grades of dot pattern generating units 15, information embed control part 16, select handling part (selector) 17, combination section 18 and printing portion 19.Image processing apparatus 10 can be by for example all-purpose computer or personal computer (PC), can carry out the printer of one or more application programs, for example form for the Multi Role Aircraft of MFP, digital camera or ticket machine.Each parts among Fig. 7 are realized by the CPU of the device 10 of the program in the final controlling element 10.This program can be recorded in advance among the ROM of device 10 or via this program of network download.Equally, also can be from for example being recording medium 600 these programs of installation of CD-ROM.
Image data acquisition portion 11 obtains or generates the image (after this being called " target image ") that comprises the information that will embed.For example, image data acquisition portion 11 can comprise the program that is used to generate the WORD process software of text data and is used for the text data that the WORD process software generates is converted to view data.The view data selectable, that image data acquisition portion 11 can reading pre-stored.Information input unit 12 receives the input that will be embedded into the information (after this being called " embedding information ") in the target image.One-level dot pattern generating unit 13 generates the view data (dot pattern data) of dot pattern according to one-level embedding information.Secondary points pattern generating unit 14 generates the view data (dot pattern data) of dot pattern according to secondary embedding information.Three grades of dot pattern generating units 15 embed the view data (dot pattern data) of information and one-level embedding information generation dot pattern according to secondary.The rank control selector 17 that information embeds the embedding information that control part 16 receives by foundation information input unit 12 select will with the dot pattern of target image combination.Just, information embed control part 16 and selector 17 from the dot pattern that one-level dot pattern generating unit 13, secondary points pattern generating unit 14 and three grades of dot pattern generating units 15 generate, select will with the dot pattern of target image combination.Combination section 18 is with selected dot pattern and target image combination, thus the view data of the background combination of generation dot pattern and picture element.The view data of 19 control combination portions of printing portion, 18 outputs is printed on the paper media.
Below provide the more detailed description of one-level dot pattern generating unit 13, secondary points pattern generating unit 14 and three grades of dot pattern generating units 15.
Fig. 8 is the diagram that has shown the configuration of one-level dot pattern generating unit 13.Consult Fig. 8, one-level dot pattern generating unit 13 comprises repetition deployment process portion 131.Repeat deployment process portion 13 and read the view data (basic pattern data 132) that has comprised the basic pattern in the memory cell that is stored in image processing apparatus 10 in advance, and generate the view data that basic pattern repeatedly is provided.By the view data that repeats 131 generations of deployment process portion is the dateout (one-level dot pattern data) of one-level dot pattern generating unit 13.
Fig. 9 is the diagram that has shown the configuration of secondary points pattern generating unit 14.In Fig. 9, adopt identical figure notation with components identical among Fig. 8, and the descriptions thereof are omitted.Consult Fig. 9, secondary points pattern generating unit 14 comprises rotation processing portion 141 and repeats deployment process portion 142.Rotation processing portion 141 rotates an angle and generates additional pattern being included in basic pattern in the basic pattern data 132 by the foundation secondary information that embeds, and generates the view data (additional pattern data 143) that comprises additional pattern.Repeat deployment process portion 142 and generate view data, in this view data, repeatedly provide to be included in the basic pattern in the basic pattern data 132 and to be included in additional pattern in the additional pattern data.By the view data that repeats 142 generations of deployment process portion is the dateout (secondary points pattern data) of secondary points pattern generating unit 14.
Figure 10 is the diagram that has shown the configuration of three grades of dot pattern generating units 15.In Figure 10, adopt identical figure notation with Fig. 9 components identical, and the descriptions thereof are omitted.Consult Figure 10, three grades of dot pattern generating units 15 comprise rotation processing portion 141, ordering portion 151 and repeat deployment process portion 152.Ordering portion 151 generates the sequence of basic pattern and additional pattern according to three grades of embedding information.Repeat the view data that deployment process portion 152 generates repeatedly provides the sequence that is generated by ordering portion 151.By the view data that repeats 152 generations of deployment process portion is the dateout (three grades of dot pattern data) of three grades of dot pattern generating units 15.
Below will provide the description of operating process of the image processing apparatus 10 of Fig. 7.Figure 11 is the flow chart that is used to illustrate that the information of image processing apparatus 10 embeds.Under the situation of Figure 11, one-level information has shown the restriction (duplicating restriction) that exists or do not exist duplicating, and second-level message has shown secret (classification) grade of target image (file), and three grades of information have shown the user name that embeds the user of information.
In step S101, image data acquisition portion 11 obtains the image (target image) of the information that will embed, and target image is written into the memory of image processing apparatus 10.Next, in step S102, information input unit 12 receives the input of the information (embedding information) that will embed.The embedding information that can be shown in display unit may be displayed on the input screen.At this moment, facilitate the selection of carrying out target image is existed or do not exist the duplicating restriction.(facilitate and carry out determining of one-level information).Limit the then feasible degree of secrecy (second-level message) that can determine (setting) target image if select to exist to duplicate.Further, if determined degree of secrecy, the then feasible user name (three grades of information) that can input active user's (embedding the user of information).In step S103, determine whether to import arbitrary embedding information.If do not import embedding information ("No" among the step S103), then in step S108, printing portion 19 is directly printed target image.
On the other hand, if imported arbitrary embedding information ("Yes" among the step S103), then in step S104, information embeds the grade that control part 16 is determined embedding information.If determine only to have selected to duplicate restriction (" one-level " among the step S104) in step S104, then in step S 105, information embeds control part 16 makes one-level dot pattern generating unit 14 and combination section 18 that one-level information is embedded in the target image.Just, the repetition deployment process portion 131 of one-level dot pattern generating unit 13 generates and output image data (one-level dot pattern), in this view data, repeatedly provide the number of times identical with the basic pattern that is included in the basic pattern data 132, perhaps than the more number of times of predetermined threshold with predetermined threshold.Further, combination section 18 is with this one-level dot pattern and target image combination.
If in step S104, determined to select to duplicate restriction and imported degree of secrecy (" secondary " among the step S104), then in step S106, information embeds control part 16 makes secondary points pattern generating unit 14 and combination section 18 that this degree of secrecy is embedded in the target image.Just, the rotation processing portion 141 of secondary points pattern generating unit 14 generates additional pattern by the angle that the basic pattern in basic pattern data 132 is rotated corresponding to this degree of secrecy, and generates the view data (additional pattern data 143) that comprises additional pattern.Can be by determine angle with reference to form given below corresponding to degree of secrecy (second-level message).
Figure 12 is for having shown the form of the corresponding relation between degree of secrecy and the relative angle (relative rotation angle is poor).In the correspondence table of Figure 12, having write down according to degree of secrecy is the relative angle that unit quantizes with 22.5 °.The correspondence table of Figure 12 can be stored in the memory cell of image processing apparatus 10 in advance.
Further, repeat deployment process portion 142 and generate view data (secondary points pattern data), in this view data, repeatedly arranged basic pattern that is included in the basic pattern data 132 and the additional pattern that is included in the additional pattern data 143.At this moment, repeat deployment process portion 142 and generate the secondary points pattern datas, therefore also satisfy the one-level condition, just, with the sum of the basic pattern of target image combination and/or additional pattern greater than predetermined threshold in one-level.Further, combination section 18 is with secondary points pattern and target image combination.
Further, if in step S104, determine to have selected to duplicate restriction, input degree of secrecy and inputed user name (" three grades " among the step S104), then in step S107, information embeds control part 16 makes three grades of dot pattern generating units 15 and combination section 18 that degree of secrecy and user name are embedded in the target image.Just, the rotation processing portion 141 of three grades of dot pattern generating units 15 generates additional pattern by the angle that the basic pattern that is included in the basic pattern data 132 is rotated corresponding to secondary embedding information, and generates the view data (additional pattern data 143) that comprises additional pattern.Further, ordering portion 151 generates the sequence of basic pattern and additional pattern according to the user name of input.At this moment, 151 pairs of basic pattern of ordering portion and additional pattern sort, thereby keep the relative angle of the information that embeds corresponding to secondary.Can be by determining according to the basic pattern of user name (three grades of information) and the sequence of additional pattern with reference to form given below.
Figure 13 is the form that has shown the corresponding relation between the sequence of user name and basic pattern and additional pattern.In the correspondence table of Figure 13, write down the combination of the basic pattern and the additional pattern of this sequence according to user name.Figure 13 has shown that the basic pattern of equal number and additional pattern are arranged in that to have sequence length be that basic pattern is " 0 " in four the sequence, and additional pattern is " 1 ".
Further, repeat the view data (three grades of dot pattern data) that deployment process portion 152 generates the sequence that 151 generations of ordering portion repeatedly are provided.At this moment, repeat deployment process portion 152 and generate three grades of dot pattern data, thereby also satisfy the one-level condition, just, with the sum of the basic pattern of target image combination and/or additional pattern greater than predetermined threshold in one-level.Further, combination section 18 is with three grades of dot patterns and target image combination.
After step S105, S106 or S107, printing portion 19 is printed target pattern, comprises the dot pattern with its combination in this target pattern.
Want related information to be not limited to above-mentioned example and can suitable determining in each rank according to application program.Below provided the description of example application program.
As mentioned above, one-level information is whether to have one or more predetermined patterns on the image, just, and the information of a bit.Accordingly, can embed about something whether the information of A as one-level information.Further, for example can embed information for " whether forbidding duplicating ", " storage (for example in the memory cell of HDD) whether may ", " whether the image that embeds information will charge " and " whether secondary or three grades of information have embedded (in image) ".In the case, the information that embeds corresponding to one-level information (same, second-level message and/or three grades of information) has further increased convenience.
Further, provide the description of embedding corresponding to the situation of the information of one-level information (same, second-level message and/or three grades of information).
For example, under the situation of information that embeds about " whether the image that embeds information will pay " as one-level information, (for example can embed the information relevant with the control of image processing apparatus 10, unless having confirmed charge otherwise not carried out for example is the such information of processing of duplicating, perhaps announcement image such information of will charging on display unit), and the URL of the visit destination that is used to charge can be embedded as three grades of information as second-level message.Second-level message and three grades of information can exchange mutually.Yet the information embedding that expectation will be relevant with device control is as the information of lower grade or the information of the grade of information extraction more properly.
Next, provide the aforesaid description that is embedded into the extraction of the information in the image.Figure 14 is the diagram that has shown the hardware configuration of the image processing apparatus 20 with information extraction function.The image processing apparatus of Figure 14 can extract the information that is embedded in the image by detecting and the dot pattern a of image combination and/or the dot pattern that is equal to the dot pattern a that rotates.Image processing apparatus 20 comprises the scanner 201 as cis, the image processing part 202 that is configured to digital circuit, plotter 204 and system controller 204.Image processing apparatus 20 disposes as digital copier, wherein, and system controller 204 gated sweep instrument 201, image processing part 202 and plotter 203.Image processing apparatus 20 also can be personal computer, for example is the Multi Role Aircraft of MFP, digital camera and ticket machine.System controller 204 comprises built-in CPU (CPU) 204a, ROM (read-only memory) 204b and RAM (random access storage device) 204c.The computing function that use is made up by CPU 204a, ROM 204b and RAM 204c, system controller 204 can be according to commands for controlling scanner 201, image processing part 202 and the plotter 203 from operation display part 205, and the information of necessity is turned back to operation display part 205, to show necessary information thereon.
Will be by scanner 201 from for example for the original material image that reads out the original material of text is rotated correction as required, thereby output to coloured image converter section 212.If the relative angle between basic pattern and additional pattern and embedding information (just, embedding secondary or more senior information), then rotation correction is not to need.
Coloured image converter section 212 has determined to embed the color of the pattern in the image (target image) of information, and according to this color carries out image conversion.For example, () point for example, the M composition, 212 of coloured image converter sections are transformed into the CMY space with the original material image if detect color composition in the CMY space in pattern.In the case, the image that coloured image converter section 212 will (be confirmed as being transformed in the coloured image in CMY space pattern detection target) color composition coloured image of two kinds of color channels of C composition and M composition (for example for) (after this being called " stain composition ") outputs to pattern detection portion 210.
On the other hand, () point for example, the G composition, 212 of coloured image converter sections do not carry out image transitions to the original material image if detect color composition in the rgb space in pattern.In the case, coloured image converter section 212 outputs to pattern detection portion 212 as the stain composition in the rgb space with for example image of G composition color channel.
In formerly situation (wherein, image transitions is arrived the CMY space) and in the back situation (wherein, image is remained on rgb space) in every kind of situation under, can predetermined fixed or determine by operation display part 205 by the user, which kind of color composition (colour) image is outputed to pattern detection portion 210.
Detect dot pattern in the image of pattern detection portion 210 from the output image data that is included in coloured image converter section 212.Information extraction portion 212 is extracted the information that is embedded in the target image according to the testing result of pattern detection portion 210, and the information of extracting is outputed to system controller 204.System controller 204 is based on the operation of the information Control image processing apparatus 20 that extracts.For example, if determine to forbid duplicating target image, then by destroying the duplicating that stops classified papers as the image that duplicates result's output.Further, the information of extracting can be presented on the operation display part 205, thereby give certain notice of user.
In image processing apparatus 20, the configuration of the configuration of pattern detection portion 210 and/or information extraction portion 211 can based on can be by the grade of image processing system 20 extractible information difference.For example, if image processing apparatus 20 for only supporting " the one-level detector " of the extraction of one-level information, then can dispose pattern detection portion 210 and information extraction portion 211 as follows.
Figure 15 is the diagram that has shown the configuration of the configuration of pattern detection portion 210 in the one-level detector and information extraction portion 211.Consult Figure 15, pattern detection portion 210 comprises basic pattern test section 210a.Further, information extraction portion 211 comprises check pattern count section 211a and check pattern amount threshold determination portion 211b.
Basic pattern test section 210a from target image, detect dot pattern a and/or with rotate the dot pattern (basic pattern) that dot pattern a at any angle is equal to.Basic pattern test section 210a for example uses the pattern dictionary as shown in 16 to detect basic pattern.Figure 16 is the diagram of display dot pattern with the pattern dictionary of the pattern of 22.5 ° of rotations of increment.That is, basic pattern test section 210a carries out the pattern match of target image, is the mobile virtual window of pattern match individual element.At this moment, during each mobile virtual window, repeat pattern match up to detecting arbitrary pattern with the pattern in the pattern dictionary.Accordingly, if detect the arbitrary pattern that is included in the pattern dictionary, if or do not detect the pattern that is included in the pattern dictionary, then the position of virtual window is moved a pixel, and in being in the virtual window of reposition, repeats identical pattern match.During carrying out such pattern match, when basic pattern test section 210a detects the arbitrary pattern that is included in the pattern dictionary, basic pattern test section 210a determines to detect basic pattern, and will output to information extraction portion 211 about this result's signal.
Check pattern count section 211a is based on the signal of exporting from basic pattern test section 210a when detecting basic pattern, to counting from the sum of the detected basic pattern of target image.
Check pattern amount threshold determination portion 211b compares the quantity and the predetermined threshold of the detected basic pattern of check pattern count section 211a counting, thereby determines whether to extract one-level information.Just, if the quantity of detected basic pattern surpasses this threshold value, then check pattern amount threshold determination portion 211b then determines to have extracted one-level information.In other cases, check pattern amount threshold determination portion 211b then determines also not extract one-level information.If detected basic pattern is less than or equals this threshold value, then be defined as also not detecting basic pattern.This is in order to eliminate the possibility that figure on the based target image or pattern detect basic pattern mistakenly.
Further, if image processing apparatus 20 is " secondary detection devices " that the information of secondary is extracted in support, then can pattern detection portion 210 and information extraction portion 211 configurations is as follows.
Figure 17 is the diagram that has shown the configuration of the configuration of the pattern detection portion 210 in the secondary detection device and information extraction portion 211.In Figure 17, adopt identical numeral with Figure 15 components identical, and the descriptions thereof are omitted.Consult Figure 17, pattern detection portion 210 comprises basic pattern test section 210b.Further, information extraction portion 211 comprises check pattern count section 211a, check pattern amount threshold determination portion 211b, pursues angle check pattern count section 211c and pursues angle check pattern quantity peak value test section 211d.
Basic pattern test section 210b carries out the identical pattern match of basic pattern test section 210a with Figure 15, and detects basic pattern from target pattern.(here, basic pattern can refer to reference pattern and with rotate the pattern that reference pattern at any angle is equal to.Yet), when detecting basic pattern, the information that basic pattern test section 210b not only will detect basic pattern outputs to information extraction portion 211, but also the angle information of detected basic pattern is outputed to information extraction portion 211.The angle of the pattern that the detected basic pattern in direct employing and the pattern dictionary is complementary is as the angle information of detected basic pattern.Accordingly, based on the pattern dictionary of Figure 16, be that unit exports this angle information with 22.5 °.
Based on the angle information of when detecting basic pattern, exporting, each angle is carried out the counting of the quantity of detected basic pattern by angle check pattern count section 211c from basic pattern test section 210b.For example, can determine for 22.5 ° that the quantity of detected basic pattern is n, for 45 °, the quantity of detected basic pattern is m.
Pursue angle check pattern quantity peak value test section 211d for all angles by angle check pattern count section 211c counting, detect two peak values relevant, and determine as the differential seat angle between two peak values of the relative angle between basic (reference) pattern and the additional pattern with the quantity of detected basic pattern.Just, at secondary, basic (reference) pattern and additional pattern with relative angle corresponding with embedding information make up with target image, and still, the angle of each pattern is not always correctly detected when its detection.For example, even the original material of having printed target image is not scanned by correct (tilting), also 45 ° dot pattern may be detected in some cases be 42.5 °, and may to detect under other situation be 47.5 °.Accordingly, in distribution by definite detected angle among the 211c of angle check pattern number count portion, and, in pursuing angle check pattern quantity peak value test section 211d, the difference of the angle between two peak values in this distribution is defined as relative angle between basic pattern and the additional pattern, thereby increases the fault-tolerance of wrong identification (determining).Further export the information (second-level message) corresponding by angle check pattern quantity peak value test section 211d with detected relative angle.
In the secondary detection device, only when detecting one-level information just check pattern amount threshold determination portion 211b determines to detect basic pattern more than this threshold value, detect amount of images count section 211c and be only effectively by the output result of angle check pattern quantity peak value test section 211d by the angle.
Further, if image processing apparatus 20 for supporting three grades of detectors of extraction of three grades information, then can pattern detection portion 210 and information extraction portion 211 configurations is as follows.
Figure 18 is the diagram that has shown the configuration of the configuration of pattern detection portion 210 in three grades of detectors and information extraction portion 211.In Figure 18, adopt identical numeral with Figure 17 components identical, and the descriptions thereof are omitted.Consult Figure 18, pattern detection portion 210 comprises basic pattern test section 210c.Further, information extraction portion 211 comprises check pattern count section 211a, check pattern amount threshold determination portion 211b, pursues angle check pattern count section 211c, detects amount of images peak value test section 211d and the check pattern Sequence Detection 211e of portion by the angle.
Basic pattern test section 210c carries out the identical pattern match of basic pattern test section 210b with Figure 17, and detects basic pattern from target image.Yet when detecting basic pattern, basic pattern test section 210c outputs to information extraction portion 211 with the angle information and the positional information of detected basic pattern.The coordinate figure of center pixel on target image that can adopt detected basic pattern is as positional information.
The check pattern Sequence Detection 211e of portion is based on by the angle of detected two peak values of angle check pattern quantity peak value test section 211d and from the positional information of the pattern of basic pattern test section 210c output, determine the placement order of basic pattern and additional pattern, and export three grades of information based on the result who determines.For example, the angle of supposing to detect two peak values is 0 ° and 45 °.(here, suppose that 0 ° and 45 ° is respectively basic pattern and additional pattern, and provide description) in the case, the check pattern Sequence Detection 211e of portion determines which in 0 ° and 45 ° be the angle at the dot pattern a of each position more approach, thereby determines that the dot pattern a in each position is basic pattern or additional pattern.The check pattern Sequence Detection 211e of portion detects the sequence of basic pattern and additional pattern based on the result who determines, and exports three grades of information.Can come this sequence of duplicate detection by pre-determining sequence length.
Below provide the description of operating process of the image processing apparatus of Figure 14.Figure 19 is the flow chart that is used to illustrate the information extraction of image processing apparatus 20.Figure 19 has shown the situation of information extraction from the file that the processing of carrying out Figure 11 by image processing apparatus 10 is printed.
At first, in step S201, image processing apparatus 20 usefulness scanners 201 read target image from the file that prints.Next, in step S202, determine the grade of image processing apparatus 20, thereby handle according to the grade of determining.Just, if image processing apparatus 20 is one-level detector (" one-level " among the step S202), then in step S203, extract one-level information (exist or do not exist to duplicate and limit).If image processing apparatus 20 is secondary detection device (" secondary " among the step S202), then in step S204, extract one-level information and second-level message (degree of secrecy).Further, if image processing apparatus 20 is three grades of detectors (" three grades " among the step S202), then in step S205, extract one-level information, second-level message and three grades of information (user name).The information of being extracted is output to system controller 204, thereby system controller 204 is handled according to the information of being extracted.For example, if restriction is duplicated, then destroy signal according to the degree of secrecy output image.Further, user name is presented on the operation display part 205.
Next, provide one-level information extraction (step S203) among Figure 19, second-level message and extract each detailed description in (step S204) and the three grades of information extractions (step S205).
Figure 20 is the flow chart that is used to illustrate the one-level information extraction.
Basic pattern test section 210a uses pattern dictionary as shown in figure 16 to carry out pattern match, thus attempt from target image test point pattern a and/or with rotate the dot pattern (basic pattern) that dot pattern a at any angle is equal to.In step S2031, when basic pattern test section 210a detected basic pattern, basic pattern test section 210a was to the detection of check pattern count section 211a notice basic pattern.In step S2302, check pattern count section 211a counts detected pattern in response to the notice from basic pattern test section 210a.In step S2033, check pattern amount threshold determination portion 211b compares the quantity and the threshold value of the detected basic pattern of fundamental design count section 211a counting.When the quantity of detected basic pattern surpasses this threshold value ("Yes" among the step S2033), then in step S2034, check pattern amount threshold determination portion 211b determines to have embedded one-level information, and the result is determined in output.On the other hand, if the quantity of detected basic pattern is no more than this threshold value ("No" among the step S2033) when having finished pattern match on the whole surface of target pattern, then in step S2035, check pattern amount threshold determination portion 211b determines not embed one-level information, and output should be determined the result.
Figure 21 is the flow chart that is used to illustrate the second-level message extraction.
At first, in step S2041, carry out the one-level information extraction of describing with reference to Figure 20.Then, in step S2042, determine whether to have embedded one-level information.If confirm as the one-level information ("Yes" among the step S2042) that embedded, then in step S2043, for by all angles, attempt two peak values of quantity detection of detected relatively basic pattern by angle check pattern quantity peak value test section 211d by angle check pattern count section 211c counting.In step S2044, determine whether to detect two peak values.If detect two peak values ("Yes" among the step S2044), then in step S2045, extract second-level message (degree of secrecy) based on the differential seat angle between two peak values, and export the information of being extracted by angle check pattern quantity peak value test section 211d.Can with reference to the correspondence table of Figure 12, extract this degree of secrecy based on this angle in opposite mode.On the other hand, if determine not detect two peak values ("No" among the step S2044), then in step S2046, determine not embed second-level message, and output should be determined the result by angle check pattern quantity peak value test section 211d.If at first detect the one-level information that do not embed ("No" among the step S2042), then do not embed second-level message.Accordingly, do not extract second-level message and end process.
Figure 22 is the flow chart that is used to illustrate three grades of information extractions.At first, in step S2051, carry out the second-level message of describing with reference to Figure 21 and extract.Then, in step S2052, determine whether to have embedded second-level message.If determined to embed second-level message ("Yes" among the step S2052), then in step S2053, the check pattern Sequence Detection 211e of portion attempts detecting by these two types of sequences that pattern forms based on the positional information of detected basic pattern and additional pattern.Then, in step S2054, determine whether to detect by these two types of sequences that pattern forms.If determine to have detected by these two types of sequences that pattern forms, then in step S2055, the check pattern Sequence Detection 211e of portion extracts three grades of information (user name) based on detected sequence, and exports the information of being extracted.Can with reference to the correspondence table of Figure 13, extract this user name based on this sequence in opposite mode.On the other hand, if do not detect this sequence ("No" among the step S2054), then in step S2056, the check pattern Sequence Detection 211e of portion determines not embed three grades of information, and output should be determined the result.Do not embed second-level message ("No" among the step S2052) if at first detect, then do not embed three grades of information.Accordingly, do not extract three grades of information and end process.
As mentioned above, according to the image processing apparatus 10 or the image processing apparatus 20 of present embodiment, can in image, embed the information of a bit to a plurality of bits with classifying.In the case, the compatibility that between per two adjacent layers, keeps down.Accordingly, under the situation of maintenance and a kind of image processing apparatus compatibility, can further embeddable information be increased several to nearly 100 bits, this image processing apparatus can for example be embedded into for the information of a bit in the medium of paper and with the medium of the paper of the information that for example embedded a bit by detecting in real time, forbids duplicating.Accordingly, can provide various safety functions.For example, utilize the information of a plurality of bits, can carry out flexible duplicating and forbid control, for example come to determine whether authentication or forbid duplicating based on user's title (position) by combination image processing unit and authentification of user.Further, utilize the information of nearly 100 bits, can when forbidding controlling, realize the off-line tracking function with the information enjoyment duplicating of an existing bit or several bits.
According to one embodiment of the present of invention, not only information can be embedded in the common print paper, information can also be embedded in photo and the ticket.
Therefore, according to embodiments of the invention, can provide image processing apparatus, image processing method and the image processing program that can increase the amount of information that can be embedded into the amount of information in the image or from image, extract.The invention is not restricted to the embodiment of this specific announcement, can change and change without departing from the scope of the invention.
Claims (18)
1. image processing apparatus, it is characterized in that by with a plurality of predetermined patterns and image combination and information is embedded into described image, comprising:
The grade determination portion is used for determining at least one grade of the grade of the condition that will increase relevant with the deployment of described predetermined pattern, and described at least one grade is the affiliated grade of the described information that will embed; And,
Combinations of patterns portion is used for foundation and the corresponding condition of information that will embed on determined at least one grade, with described predetermined pattern and the combination of described image;
Wherein, if the described information that will embed belongs to two or more grades, then combinations of patterns portion makes up described predetermined pattern, makes to satisfy and the corresponding condition of the described information that will embed in described two or more grades.
2. image processing apparatus as claimed in claim 1 is characterized in that, the condition of the relatively low grade of condition of higher level has further the restriction to the increase of the condition of lower grade.
3. image processing apparatus as claimed in claim 1 or 2 is characterized in that, the condition of the relatively low grade of condition of higher level can increase the amount of the described information that will embed.
4. as each described image processing apparatus in the claim 1 to 3, it is characterized in that, adopt the condition detection of lower grade easier than the described predetermined pattern that the condition that adopts higher level detects and described image makes up with the described predetermined pattern that described image makes up.
5. as each described image processing apparatus in the claim 1 to 4, it is characterized in that, at the first estate, the pattern of the condition that increases about the deployment of described predetermined pattern on described image, having described predetermined pattern or being equal to postrotational described predetermined pattern.
6. image processing apparatus as claimed in claim 5, it is characterized in that, in second grade, about the deployment of described predetermined image and the condition that increases be, except the condition of the first estate, according to the relative angle between the definite described predetermined pattern of the described information that will embed.
7. image processing apparatus as claimed in claim 6, it is characterized in that, in the tertiary gradient, about the deployment of described predetermined image and the condition that increases be, except the described condition of second grade, the position between the described predetermined pattern that the described information that will embed of foundation is determined to be relative to each other.
8. an image processing apparatus is used for extracting the information that is embedded into image, it is characterized in that, comprising:
Pattern detection portion is used for from described image detection predetermined pattern; And
Information extraction portion is used for each grade in the condition that increases about described predetermined pattern, is extracted in the information that this grade embeds by the condition that will the information relevant with the deployment of detected pattern be applied to be in this grade.
9. image processing method, it is characterized in that by with a plurality of predetermined patterns and image combination and information is embedded into described image, comprises step:
Determine at least one grade in the grade of the condition that will increase relevant with the deployment of described predetermined pattern, described at least one grade is the affiliated grade of the described information that will embed; And,
Foundation and the corresponding condition of information that will embed on determined at least one grade are with described predetermined pattern and the combination of described image;
Wherein, if the described information that will embed belongs to two or more grades, then described combination step makes up described predetermined pattern, makes the condition that satisfies the described information correspondence that will embed in described two or more grades.
10. image processing method as claimed in claim 9 is characterized in that, the condition of the relatively low grade of condition of higher level has further the restriction to the increase of the condition of lower grade.
11., it is characterized in that the condition of the relatively low grade of condition of higher level can increase the amount of the described information that will embed as claim 9 or 10 described image processing methods.
12. as each described image processing method of claim 9 to 11, it is characterized in that, adopt the condition detection of lower grade easier than the described predetermined pattern that the condition that adopts higher level detects and described image makes up with the described predetermined pattern that described image makes up.
13. as each described image processing method of claim 9 to 12, it is characterized in that, at the first estate, the pattern of the condition that increases about the deployment of described predetermined pattern on described image, having described predetermined pattern or being equal to postrotational described predetermined pattern.
14. image processing method as claimed in claim 13, it is characterized in that, in second grade, about the deployment of described predetermined image and the condition that increases be, except the condition of the first estate, according to the relative angle between the definite described predetermined pattern of the described information that will embed.
15. image processing method as claimed in claim 14, it is characterized in that, in the tertiary gradient, about the deployment of described predetermined image and the condition that increases be, except the described condition of second grade, the position between the described predetermined pattern that the described information that will embed of foundation is determined to be relative to each other.
16. an image processing method is used for extracting the information that is embedded into image, it is characterized in that, comprises step:
From described image detection predetermined pattern; And
In each grade of the condition that increases about the deployment of described predetermined pattern, by the information relevant with the deployment of detected pattern being applied to be extracted in the information that this grade embeds in the condition of this grade.
17. an image processing program is used for making computer to carry out as each image processing method of claim 9 to 15.
18. an image processing program is used for making the image processing method of computer execution as claim 16.
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