CN102270335A - Method for embedding additional information into image - Google Patents
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- CN102270335A CN102270335A CN 201010192317 CN201010192317A CN102270335A CN 102270335 A CN102270335 A CN 102270335A CN 201010192317 CN201010192317 CN 201010192317 CN 201010192317 A CN201010192317 A CN 201010192317A CN 102270335 A CN102270335 A CN 102270335A
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Abstract
The invention provides a method and a device for embedding additional information into an image. The method comprises the following steps of: selecting at least one area from the image according to the time domain characteristics of the image, wherein the area consists of an area boundary and an area interior; setting the corresponding least significant bit (LSB) level according to the time domain characteristics of each area; and embedding a preset boundary identifier into the area boundary by an LSB hiding method according to the corresponding LSB level and embedding the additional information into the area by the LSB hiding method according to the corresponding LSB level. By applying the scheme, the additional information is hidden, and the additional information is more flexibly embedded under the condition of not sensing the image.
Description
Technical field
The present invention relates to digital image processing techniques, particularly a kind of method and apparatus that in image, embeds additional information.
Background technology
In digital image processing techniques, can utilize certain algorithm that some additional informations are hidden in the view data, such as hiding copyright protection information, annotation of images explanation or another digital picture etc.This Digital image technology is divided into usually based on frequency domain with based on two class algorithms of time domain.Wherein, the algorithm based on time domain adopts the principle of least significant bit (LSB) (LSB) to realize that is: utilize image slices vegetarian refreshments low-order bit position to hide additional information, the high order bit position then still is used for representing the pixel value of this point mostly.Because the low-order bit position is smaller to the contribution of pixel value, human eye is insensitive to the variation of pixel low-order bit position, if additional information is embedded in the low-order bit position, both can reduce the destruction to image, do not influence the human visual experience again, thereby reach the effect of hiding additional information.
But prior art is normally at entire image, and utilizes unified LSB figure place (or claiming LSB rank) to hide additional information, relatedly with temporal signatures such as picture material, brightness, texture, positions well, can't hide additional information flexibly.
Summary of the invention
In view of the defective of above-mentioned prior art, goal of the invention of the present invention provides a kind of method and apparatus that embeds additional information in image, can guarantee to embed additional information more neatly under the not perceived situation of image.
At above-mentioned first goal of the invention, the technical scheme that the present invention proposes is:
A kind of method that in image, embeds additional information, this method comprises:
Select at least one zone according to image self temporal signatures from image, described zone is made up of zone boundary and intra-zone;
According to each regional temporal signatures corresponding least significant bit (LSB) LSB rank is set respectively;
At each zone, be embedded into the zone boundary according to the LSB rank of correspondence and the boundary marking that adopts the LSB hidden method to be provided with in advance, according to the LSB rank of correspondence and adopt the LSB hidden method that additional information is embedded into intra-zone.
In the such scheme, described temporal signatures comprises the position in picture material, brightness, color or the image.
In the such scheme, the described method in zone of selecting comprises:
By the user designated area border, zone of selecting of the inner formation of the zone boundary of appointment and institute's area surrounded; Perhaps,
Adopt the zone boundary recognizer from image, to identify the zone boundary, zone of selecting of the inner formation of the zone boundary of identifying and institute's area surrounded.
In the such scheme, describedly according to each regional temporal signatures corresponding other method of LSB level is set respectively and comprises:
For each zone is provided with acquiescence LSB rank, at each regional temporal signatures the LSB rank is adjusted one by one more earlier, to obtain the corresponding LSB rank in each zone; Perhaps,
At each zone, calculate this regional eigenwert according to the temporal signatures related algorithm, determine the LSB rank that this is regional according to eigenwert and other corresponding relation of LSB level of being provided with in advance again, to obtain the corresponding LSB rank in each zone.
In the such scheme, at each zone, the method that the described boundary marking that will be provided with in advance is embedded into the zone boundary comprises: at each zone, determine the pixel of zone boundary according to the coordinate of zone boundary, determine the bit that is used to hide in the pixel of zone boundary according to the corresponding LSB rank in this zone, and boundary marking is embedded the bit that is used to hide in the pixel of described zone boundary;
At each zone, the described method that additional information is embedded into intra-zone comprises: at each zone, determine the pixel of intra-zone according to the coordinate of zone boundary, determine the bit that is used to hide in the intra-zone pixel according to the corresponding LSB rank in this zone, and additional information is embedded the bit that is used to hide in the described intra-zone pixel.
At above-mentioned second goal of the invention, the technical scheme that the present invention proposes is:
A kind of device that in image, embeds additional information, this device comprises:
Module is selected in the zone, selects at least one zone according to image self temporal signatures from image, and the zone that will select is notified to least significant bit (LSB) LSB rank module and information merge module are set, and described zone is made up of zone boundary and intra-zone;
Least significant bit (LSB) LSB rank is provided with module, according to each regional temporal signatures corresponding least significant bit (LSB) LSB rank is set respectively, and is notified to the information merge module;
The information merge module, at each zone, be embedded into this regional zone boundary according to the LSB rank of this zone correspondence and the boundary marking that adopts the LSB hidden method to be provided with in advance, according to the LSB rank of this zone correspondence and adopt the LSB hidden method that additional information is embedded into this regional intra-zone.
In the such scheme, described temporal signatures comprises the position in brightness, color or the image.
In the such scheme, described information merge module comprises:
First memory module is used to preserve boundary marking;
Second memory module is used to preserve additional information;
The 3rd memory module is used to preserve the corresponding respectively LSB rank in each zone;
First execution module, at each zone, determine the pixel of zone boundary according to the coordinate of zone boundary, the corresponding LSB rank in this zone of preserving according to the 3rd memory module is determined the bit that is used to hide in the pixel of zone boundary, and the boundary marking that first memory module is preserved embeds the bit that is used to hide in the pixel of described zone boundary;
Second execution module, at each zone, determine the pixel of intra-zone according to the coordinate of zone boundary, the corresponding LSB rank in this zone of preserving according to the 3rd memory module is determined the bit that is used to hide in the intra-zone pixel, and the additional information that second memory module is preserved embeds the bit that is used to hide in the described intra-zone pixel.
The invention provides a kind of method and apparatus that in image, embeds additional information, can select at least one zone, according to each regional temporal signatures corresponding LSB rank is set respectively again according to image self temporal signatures.Each zone is embedded into the zone boundary according to the LSB rank of correspondence with boundary marking, LSB rank according to correspondence is embedded into intra-zone with additional information, not only realized hiding of additional information, also guaranteed to embed additional information more neatly under the not perceived situation of image.
Description of drawings
Fig. 1 is the present invention embeds additional information in image a method flow diagram.
Fig. 2 is the synoptic diagram that will hide the image of additional information in the embodiment of the invention.
Fig. 3 is the process flow diagram of the embodiment of the invention.
Fig. 4 is the synoptic diagram that carries out regional selection situation from Fig. 2.
Fig. 5 is the bit synoptic diagram of the information that can embed in the embodiment of the invention.
Fig. 6 utilizes embodiment of the invention scheme to embed additional information image situation synoptic diagram before.
Fig. 7 utilizes embodiment of the invention scheme to embed additional information image situation synoptic diagram afterwards.
Fig. 8 is that the present invention is implemented in the apparatus structure synoptic diagram that embeds additional information in the image.
Fig. 9 is information merge module 803 inner structure synoptic diagram among Fig. 8.
Embodiment
Core concept of the present invention is: according to image self temporal signatures, for zones of different is provided with different least significant bit (LSB) (LSB) rank, boundary marking and additional information are embedded respectively in zone boundary and the intra-zone.Like this, not only can reach the purpose that embeds additional information, and, owing to, can guarantee to embed additional information more neatly under the not perceived situation of image for zones of different is provided with different LSB ranks.
Fig. 1 is that the present invention is implemented in the process flow diagram that embeds the method for additional information in the image.As shown in Figure 1, this method comprises:
Step 101: select at least one zone according to image self temporal signatures from image, described zone is made up of zone boundary and intra-zone.
Here, the temporal signatures of image is meant position in picture material, brightness, color or the image etc.The present invention why select the zone to be according to the above-mentioned feature of image because: some temporal signatures has implication directly perceived (for example picture material) to the people, some temporal signatures human eye insensitive (for example zone that highlight regions, image texture are abundant, the borderline region of image).Based on this principle, follow-up these zones selected that just can utilize of the present invention have hidden Info.
In addition, select the mode in zone a lot, such as: can be by border, the manual appointed area of user, zone of selecting of the inner formation of the zone boundary of its appointment and institute's area surrounded, as for how realizing that specifically those skilled in the art should be easy to implement, and repeat no more herein.For another example: can adopt the zone boundary recognizer from image, to identify the zone boundary, zone of selecting of the inner formation of the zone boundary of identifying and institute's area surrounded.Zone boundary recognizer described here can comprise prior aries such as difference Boundary Detection, gradient boundaries detection, also is not described in detail herein.
Step 102: corresponding least significant bit (LSB) LSB rank is set respectively according to each regional temporal signatures.
In order to make full use of the temporal signatures of zones of different, the present invention can be provided with different LSB ranks for different zones.LSB rank described here is exactly to allow the lowest bit figure place that hides Info in the pixel, can determine that this zone is fit to hide Info according to certain regional temporal signatures during specific implementation what.Such as: select the zone that 3 needs hide Info.Wherein, the brightness value height of first area is convenient to hide more information, so can be it higher LSB rank is set, and makes minimum 3 of this area pixel point all to be used to hide Info, and is recorded as LSB=3.The brightness value of second area is lower, is not easy to hide more information, so can be it lower LSB rank is set, and makes minimum 1 of this area pixel point to be used to hide Info, and is recorded as LSB=1.Though the brightness value in the 3rd zone is lower, belong to the area image border, also be convenient to hide more information, can be it high slightly LSB rank is set, make minimum 2 of this area pixel point to be used to hide Info, and be recorded as LSB=2.
Certainly, determine that specifically other mode of LSB level is a lot, such as: for each zone is provided with acquiescence LSB rank, at each regional temporal signatures the LSB rank is adjusted one by one more earlier, to obtain the corresponding LSB rank in each zone.For another example: at each zone, calculate this regional eigenwert, determine the LSB rank that this is regional according to eigenwert and other corresponding relation of LSB level of being provided with in advance again, to obtain the corresponding LSB rank in each zone according to the temporal signatures related algorithm.Temporal signatures related algorithm described here can be image texture information acquisition algorithm, image luminance information acquisition algorithm etc., and specific algorithm all can adopt existing techniques in realizing, repeats no more herein.
Step 103: at each zone, be embedded into the zone boundary, according to the LSB rank of correspondence and adopt the LSB hidden method that additional information is embedded into intra-zone according to the LSB rank of correspondence and the boundary marking that adopts the LSB hidden method to be provided with in advance.
This step not only is embedded into additional information the intra-zone of selecting, and also boundary marking has been embedded into each regional zone boundary.Why embedding area identification, is because the present invention and embed additional information unlike prior art in entire image, but embeds additional information in certain or some zone of image.One skilled in the art will appreciate that the zone of reading additional information is known if embed additional information in entire image, can be easy to read out additional information.And, under the situation in unclear zone, can't successfully read out additional information if in certain or some zone of image, embed additional information.Based on this, the present invention is for ease of the follow-up additional information that reads, and the information on identified areas border also is carried in the image in the lump, boundary marking embedded the zone boundary that is:.
Specifically,
According to the LSB rank of correspondence and adopt the LSB hidden method that the method that boundary marking is embedded into the zone boundary is comprised: at each zone, determine the pixel of zone boundary according to the coordinate of zone boundary, determine the bit that is used to hide in the pixel of zone boundary according to the corresponding LSB rank in this zone, and boundary marking is embedded the bit that is used to hide in the pixel of described zone boundary.
According to the LSB rank of correspondence and adopt the LSB hidden method that the method that additional information is embedded into intra-zone is comprised: at each zone, determine the pixel of intra-zone according to the coordinate of zone boundary, determine the bit that is used to hide in the intra-zone pixel according to the corresponding LSB rank in this zone, and additional information is embedded the bit that is used to hide in the described intra-zone pixel.
For the present invention program is described better, be described in detail with a preferred embodiment below.
Fig. 2 is the synoptic diagram that the present embodiment hypothesis will be hidden the image of additional information, and this image is a width of cloth bitmap (BMP), and each lattice is wherein represented a pixel.
The method flow of present embodiment can comprise following flow process as shown in Figure 3:
Step 301: read a BMP image.
Present embodiment is that example describes with the BMP image, can also be the image of other forms such as joint photographic experts group (JPG or JPEG), JPG2000 in the practical application.
Step 302: select 3 zones (zone 1, zone 2, zone 3) according to image self temporal signatures from image, each zone is made up of zone boundary and intra-zone.
As previously mentioned, present embodiment can be selected the zone by hand, perhaps adopts these class algorithms such as difference Boundary Detection, gradient boundaries detection to select the zone automatically, as for how to implement is determined voluntarily by the user who uses the present invention program.The present embodiment hypothesis has been selected 3 zones from Fig. 2, its selection situation as shown in Figure 4.
Step 303: the coordinate that writes down each zone boundary.
In the practical application, the zone boundary coordinate in selected zone can be noted earlier, so that follow-up this zone is operated.Such as: certain square area boundary coordinate is recorded as (0,0) ... (0,10) ... (10,10) ... (10,0), the record delimitation coordinate also can be come according to this method in the zone in the present embodiment.Like this, follow-uply just can determine the pixel at regional location place, thereby embed information exactly by these coordinates.
Step 304: go out 3 zone temporal signatures separately according to selected, the LSB rank of regional 1 correspondence is set to 3, and the LSB rank of regional 2 correspondences is set to 1, and the LSB rank of regional 3 correspondences is set to 2.
In the present embodiment, suppose that zone 1 is a borderline region, human eye is insensitive, can be provided with LSB higher; Zone 2 is in the middle of image, and human eye is relatively more responsive with respect to the border, can be provided with LSB lower; Zone 3 belongs to highlight regions, and human eye is also not too responsive, it can be provided with higher slightly.No matter the foundation that is provided be brightness, color, picture material, or image in the position, these features can be referred to as the temporal signatures of image in this enforcement, as for these temporal signatures and other corresponding relation of LSB level then can be rule of thumb or the actual conditions of image determine.
That is to say that present embodiment is provided with other method of LSB level can adopt the mode of user's manual setting as previously mentioned: the rank that elder generation is arranged to the LSB rank in zone 1～zone 3 to give tacit consent to, i.e. LSB=1; At zone 1, this zone belongs to borderline region, can again it be adjusted into LSB=3; At zone 2, this zone can keep its default level constant in the middle of image; At zone 3, this zone belongs to highlight regions, then can suitably it be adjusted into LSB=2.
Also can adopt automated manner to adjust the LSB rank in the practical application, such as: determine that from each regional boundary coordinate zone 1 belongs to borderline region earlier, zone 2,3 does not belong to borderline region, so the LSB rank of regional 1 correspondence is set to 3; The average brightness value of zoning 2,3 is respectively X, Y again, the relation table that brightness value through searching prior setting is corresponding with the LSB rank, the LSB rank of determining the X correspondence is 1, the LSB rank of Y correspondence is 2, therefore LSB rank that can regional 2 correspondences is set to 1, and the LSB rank of regional 3 correspondences is set to 2.What calculate here is regional position, regional luminance mean value, other temporal signatures such as image texture information that also can the zoning in the practical application, and search these eigenwerts that calculate and other corresponding relation of LSB level, thereby determine corresponding LSB rank.
Which kind of in a word, no matter be to adopt manual mode or automated manner,, finally can enumerate no longer one by one for each zone is provided with suitable LSB rank no matter be to utilize temporal signatures herein.
Step 305: note the LSB rank that is provided with into each zone.
Step 306: boundary marking K is set.
As previously mentioned, the zone boundary that is used for hiding additional information also needs to embed boundary marking K, could determine regional location when reading additional information.Supposing to be provided with in the step 304 certain regional LSB rank is 2, and the K value described in this step is exactly the value that needs to embed on minimum two bits of zone boundary pixel.Certainly, boundary marking K value can be provided with voluntarily by the user who uses the present invention program.Such as: be 2 to be example still,, boundary marking K can be arranged to " 00 ", that is: in minimum two bits of place, zone boundary pixel, embed " 00 " for reducing influence to the place, zone boundary with the LSB rank.If the not influence on consideration of regional border also can embed other value, such as " 10 " etc.In addition, in the practical application, for reducing the probability that boundary marking conflicts with the pixel value of image slices vegetarian refreshments own, can also in 4 pixels of border two row, two row sphere of movements for the elephants shaped position, embed boundary marking, that is to say, embed boundary marking in zone boundary outermost two all pixels, its situation as shown in Figure 4.Certainly, in the practical application, be in the pixel in regional one week of outermost, to embed boundary marking, still in outermost two all pixels, embed boundary marking, can determine voluntarily by the user who uses the present invention program.
Step 307: at zone 1 additional information 1 is set, additional information 2 is set, additional information 3 is set at zone 3 at zone 2.
Step 308: at zone 1, determine the pixel of zone boundary according to the coordinate of its zone boundary, determine the bit that is used to hide in the pixel of zone boundary according to 1 the corresponding LSB rank in zone, and boundary marking K is embedded the bit that is used to hide in this zone boundary pixel; At zone 1, determine the pixel of intra-zone according to the coordinate of zone boundary, determine the bit that is used to hide in the intra-zone pixel according to the corresponding LSB rank in this zone, and additional information 1 is embedded the bit that is used to hide in the described intra-zone pixel.
Step 309: at zone 2, determine the pixel of zone boundary according to the coordinate of its zone boundary, determine the bit that is used to hide in the pixel of zone boundary according to 2 the corresponding LSB ranks in zone, and boundary marking K is embedded the bit that is used to hide in this zone boundary pixel; At zone 2, determine the pixel of intra-zone according to the coordinate of zone boundary, determine the bit that is used to hide in the intra-zone pixel according to the corresponding LSB rank in this zone, and additional information 2 is embedded the bit that is used to hide in the described intra-zone pixel.
Step 310: at zone 3, determine the pixel of zone boundary according to the coordinate of its zone boundary, determine the bit that is used to hide in the pixel of zone boundary according to 3 the corresponding LSB ranks in zone, and boundary marking K is embedded the bit that is used to hide in this zone boundary pixel; At zone 3, determine the pixel of intra-zone according to the coordinate of zone boundary, determine the bit that is used to hide in the intra-zone pixel according to the corresponding LSB rank in this zone, and additional information 3 is embedded the bit that is used to hide in the described intra-zone pixel.
In the present embodiment, step 308～step 310 is the committed steps that embed boundary marking on the border in selected zone, embed additional information at intra-zone.No matter be to embed boundary marking or embedding additional information, embedding grammar all adopts the LSB hidden method.With the LSB rank is 2 to be example, as shown in Figure 5, supposes that certain pixel comprises red (Red), green (Green), blue (Blue) three kinds of colors, every kind of color accounts for 8 bits, minimum two bits that just can be used as embedding information belong to prior art as for how specifically to embed, and repeat no more herein.
Utilize specific embodiment of technical solution of the present invention checking below again.The BMP original image of supposing to read, the zone of selection, need the additional information that embeds as shown in Figure 6.That is to say, selected 2 zones to embed additional information in this image, zone 1 is in image the first half, and the LSB rank of setting is assumed to be 2, and zone 2 is in the lower left corner of image, and the LSB rank of setting is assumed to be 1.
In addition, the additional information that needs to embed in the zone 1 is:
Model：SAMSUNG?LA52A650
Display?Size：52”
Resolution：1920×1080
Aspect?Ratio：16∶9
Dimensions：1276*326*866
Launch?Date：April，2008
The additional information that zone 2 needs to embed is:
Copyright1995-2009
SAMSUNG
All?rights?reserved
Embed after the additional information, carried additional information and zone boundary sign in the image.After this, can be set to when mouse etc. enters certain zone, show the additional information that this zone embeds in real time.As shown in Figure 7: when mouse is positioned at image the first half, show the additional information that in zone 1, embeds in advance immediately.
At said method, the present invention also proposes a kind of device that embeds additional information in image.Fig. 8 has shown the basic structure synoptic diagram of this device, and as shown in Figure 8, this device can comprise: the zone selects module 801, least significant bit (LSB) rank that module 802, information merge module 803 are set.Wherein,
Here, the temporal signatures of image is meant position in picture material, brightness, color or the image etc.As preceding method is introduced, select the mode in zone a lot, can be by border, the manual appointed area of user, the zone selects module 801 to determine the zone at last according to the zone boundary of appointment.Certainly, also can adopt the zone boundary recognizer from image, to identify the zone boundary, zone of selecting of the inner formation of the zone boundary of identifying and institute's area surrounded.Zone boundary recognizer described here can comprise prior aries such as difference Boundary Detection, gradient boundaries detection, is not described in detail herein.
The least significant bit (LSB) rank is provided with module 802, according to each regional temporal signatures corresponding least significant bit (LSB) LSB rank is set respectively, and is notified to information merge module 803.
Here, determine that specifically other mode of LSB level is a lot, such as: for each zone is provided with acquiescence LSB rank, at each regional temporal signatures the LSB rank is adjusted one by one more earlier, to obtain the corresponding LSB rank in each zone.For another example: at each zone, calculate this regional eigenwert, determine the LSB rank that this is regional according to eigenwert and other corresponding relation of LSB level of being provided with in advance again, to obtain the corresponding LSB rank in each zone according to the temporal signatures related algorithm.Temporal signatures related algorithm described here can be image texture information acquisition algorithm, image luminance information acquisition algorithm etc., and specific algorithm all can adopt existing techniques in realizing.
In the practical application, information merge module 803 inner structure synoptic diagram can comprise as shown in Figure 9:
The 3rd memory module 903 is used to preserve the corresponding respectively LSB rank in each zone.
That is to say that for piece image, the zone selects module 801 to select at least one zone from this image, and the zone that will select is notified to the least significant bit (LSB) rank module 802 and information merge module 803 is set.The least significant bit (LSB) rank is provided with module 802 and according to each regional temporal signatures corresponding least significant bit (LSB) LSB rank is set respectively, and is kept in the 3rd memory module 903.In addition, this device also is kept at the boundary marking information that is provided with in first memory module 901, and the additional information that is provided with is kept in second memory module 902.Like this, when embedding boundary marking, for each zone, first execution module 904 is determined the pixel of zone boundary according to the coordinate of zone boundary, the corresponding LSB rank in this zone of preserving according to the 3rd memory module 903 is determined the bit that is used to hide in the pixel of zone boundary, and the boundary marking that first memory module 901 is preserved embeds the bit that is used to hide in the pixel of described zone boundary.Similarly, for each zone, second execution module 905 is determined the pixel of intra-zone according to the coordinate of zone boundary, the corresponding LSB rank in this zone of preserving according to the 3rd memory module 903 is determined the bit that is used to hide in the intra-zone pixel, and the additional information that second memory module 902 is preserved embeds the bit that is used to hide in the described intra-zone pixel.
Use the present invention program, owing to can different LSB ranks be set according to the temporal signatures in each zone in the image self, boundary marking is hidden in respectively in each regional zone boundary and intra-zone according to different LSB ranks with additional information, not only realized hiding of additional information, also guaranteeing to embed additional information more neatly under the not perceived situation of image.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being made, is equal to replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (8)
1. method that embeds additional information in image is characterized in that this method comprises:
Select at least one zone according to image self temporal signatures from image, described zone is made up of zone boundary and intra-zone;
According to each regional temporal signatures corresponding least significant bit (LSB) LSB rank is set respectively;
At each zone, be embedded into the zone boundary according to the LSB rank of correspondence and the boundary marking that adopts the LSB hidden method to be provided with in advance, according to the LSB rank of correspondence and adopt the LSB hidden method that additional information is embedded into intra-zone.
2. method according to claim 1 is characterized in that described temporal signatures comprises the position in picture material, brightness, color or the image.
3. method according to claim 1 and 2 is characterized in that, the described method in zone of selecting comprises:
By the user designated area border, zone of selecting of the inner formation of the zone boundary of appointment and institute's area surrounded; Perhaps,
Adopt the zone boundary recognizer from image, to identify the zone boundary, zone of selecting of the inner formation of the zone boundary of identifying and institute's area surrounded.
4. method according to claim 1 and 2 is characterized in that, describedly according to each regional temporal signatures corresponding other method of LSB level is set respectively and comprises:
For each zone is provided with acquiescence LSB rank, at each regional temporal signatures the LSB rank is adjusted one by one more earlier, to obtain the corresponding LSB rank in each zone; Perhaps,
At each zone, calculate this regional eigenwert according to the temporal signatures related algorithm, determine the LSB rank that this is regional according to eigenwert and other corresponding relation of LSB level of being provided with in advance again, to obtain the corresponding LSB rank in each zone.
5. method according to claim 1 and 2, it is characterized in that, at each zone, the method that the described boundary marking that will be provided with in advance is embedded into the zone boundary comprises: at each zone, determine the pixel of zone boundary according to the coordinate of zone boundary, determine the bit that is used to hide in the pixel of zone boundary according to the corresponding LSB rank in this zone, and boundary marking is embedded the bit that is used to hide in the pixel of described zone boundary;
At each zone, the described method that additional information is embedded into intra-zone comprises: at each zone, determine the pixel of intra-zone according to the coordinate of zone boundary, determine the bit that is used to hide in the intra-zone pixel according to the corresponding LSB rank in this zone, and additional information is embedded the bit that is used to hide in the described intra-zone pixel.
6. device that embeds additional information in image is characterized in that this device comprises:
Module is selected in the zone, selects at least one zone according to image self temporal signatures from image, and the zone that will select is notified to least significant bit (LSB) LSB rank module and information merge module are set, and described zone is made up of zone boundary and intra-zone;
Least significant bit (LSB) LSB rank is provided with module, according to each regional temporal signatures corresponding least significant bit (LSB) LSB rank is set respectively, and is notified to the information merge module;
The information merge module, at each zone, be embedded into this regional zone boundary according to the LSB rank of this zone correspondence and the boundary marking that adopts the LSB hidden method to be provided with in advance, according to the LSB rank of this zone correspondence and adopt the LSB hidden method that additional information is embedded into this regional intra-zone.
7. device according to claim 6 is characterized in that described temporal signatures comprises the position in brightness, color or the image.
8. according to claim 6 or 7 described devices, it is characterized in that described information merge module comprises:
First memory module is used to preserve boundary marking;
Second memory module is used to preserve additional information;
The 3rd memory module is used to preserve the corresponding respectively LSB rank in each zone;
First execution module, at each zone, determine the pixel of zone boundary according to the coordinate of zone boundary, the corresponding LSB rank in this zone of preserving according to the 3rd memory module is determined the bit that is used to hide in the pixel of zone boundary, and the boundary marking that first memory module is preserved embeds the bit that is used to hide in the pixel of described zone boundary;
Second execution module, at each zone, determine the pixel of intra-zone according to the coordinate of zone boundary, the corresponding LSB rank in this zone of preserving according to the 3rd memory module is determined the bit that is used to hide in the intra-zone pixel, and the additional information that second memory module is preserved embeds the bit that is used to hide in the described intra-zone pixel.
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| CN103530843A (en) * | 2013-10-14 | 2014-01-22 | 杭州电子科技大学 | Picture watermark embedding and removing method based on color information compression |
| CN104424617A (en) * | 2013-08-21 | 2015-03-18 | 中国银联股份有限公司 | Method and device for processing image |
| CN104581120A (en) * | 2015-01-23 | 2015-04-29 | 深圳超多维光电子有限公司 | Image information storage method and device and stereo image generation method and device |
| CN106341589A (en) * | 2015-07-09 | 2017-01-18 | 杭州海康威视数字技术股份有限公司 | Digital image processing method, device and system |
| CN106780285A (en) * | 2017-01-11 | 2017-05-31 | 江苏图码信息科技有限公司 | A kind of stored technology hidden in application picture and component |
| CN106875324A (en) * | 2017-02-05 | 2017-06-20 | 西南大学 | Lossless image information concealing method based on SBDE |
| CN110365858A (en) * | 2018-04-10 | 2019-10-22 | 北京仁光科技有限公司 | Information transferring method, device, equipment, system and storage medium |
| WO2022193244A1 (en) * | 2021-03-18 | 2022-09-22 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method of embedding additional data onto raw pixel data and electronic device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003051931A (en) * | 2001-08-07 | 2003-02-21 | Sharp Corp | Information embedding device to digital image |
| US20060188129A1 (en) * | 2001-03-28 | 2006-08-24 | Mayboroda A L | Method of embedding watermark into digital image |
| CN1838172A (en) * | 2005-03-23 | 2006-09-27 | 北京华旗数码影像技术研究院有限责任公司 | Method and apparatus for inlaying watermark in digital image and digital camera capable of adding watermark |
| CN101248453A (en) * | 2005-07-04 | 2008-08-20 | 联邦科学和工业研究组织 | Image watermarking |
-
2010
- 2010-06-03 CN CN 201010192317 patent/CN102270335A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060188129A1 (en) * | 2001-03-28 | 2006-08-24 | Mayboroda A L | Method of embedding watermark into digital image |
| JP2003051931A (en) * | 2001-08-07 | 2003-02-21 | Sharp Corp | Information embedding device to digital image |
| CN1838172A (en) * | 2005-03-23 | 2006-09-27 | 北京华旗数码影像技术研究院有限责任公司 | Method and apparatus for inlaying watermark in digital image and digital camera capable of adding watermark |
| CN101248453A (en) * | 2005-07-04 | 2008-08-20 | 联邦科学和工业研究组织 | Image watermarking |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104424617A (en) * | 2013-08-21 | 2015-03-18 | 中国银联股份有限公司 | Method and device for processing image |
| CN104424617B (en) * | 2013-08-21 | 2018-04-27 | 中国银联股份有限公司 | A kind of method and apparatus for handling image |
| CN103530843A (en) * | 2013-10-14 | 2014-01-22 | 杭州电子科技大学 | Picture watermark embedding and removing method based on color information compression |
| CN104581120A (en) * | 2015-01-23 | 2015-04-29 | 深圳超多维光电子有限公司 | Image information storage method and device and stereo image generation method and device |
| CN106341589A (en) * | 2015-07-09 | 2017-01-18 | 杭州海康威视数字技术股份有限公司 | Digital image processing method, device and system |
| CN106780285A (en) * | 2017-01-11 | 2017-05-31 | 江苏图码信息科技有限公司 | A kind of stored technology hidden in application picture and component |
| WO2018129640A1 (en) * | 2017-01-11 | 2018-07-19 | 江苏图码信息科技有限公司 | Technology and assembly for storing information in application picture in hidden manner |
| CN106875324A (en) * | 2017-02-05 | 2017-06-20 | 西南大学 | Lossless image information concealing method based on SBDE |
| CN106875324B (en) * | 2017-02-05 | 2019-08-09 | 西南大学 | Lossless image information concealing method based on SBDE |
| CN110365858A (en) * | 2018-04-10 | 2019-10-22 | 北京仁光科技有限公司 | Information transferring method, device, equipment, system and storage medium |
| CN110365858B (en) * | 2018-04-10 | 2020-08-25 | 北京仁光科技有限公司 | Information transmission method, device, equipment, system and storage medium |
| WO2022193244A1 (en) * | 2021-03-18 | 2022-09-22 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method of embedding additional data onto raw pixel data and electronic device |
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