CN106485641B - A kind of tile data digital watermarking generation insertion and extracting method based on QR code - Google Patents
A kind of tile data digital watermarking generation insertion and extracting method based on QR code Download PDFInfo
- Publication number
- CN106485641B CN106485641B CN201610792121.3A CN201610792121A CN106485641B CN 106485641 B CN106485641 B CN 106485641B CN 201610792121 A CN201610792121 A CN 201610792121A CN 106485641 B CN106485641 B CN 106485641B
- Authority
- CN
- China
- Prior art keywords
- watermark
- tile
- piecemeal
- information
- code
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000003780 insertion Methods 0.000 title claims abstract description 23
- 230000037431 insertion Effects 0.000 title claims abstract description 23
- 230000009466 transformation Effects 0.000 claims abstract description 7
- 239000000284 extract Substances 0.000 claims description 9
- 238000013139 quantization Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000000844 transformation Methods 0.000 claims description 3
- 230000006835 compression Effects 0.000 abstract description 16
- 238000007906 compression Methods 0.000 abstract description 16
- 238000000605 extraction Methods 0.000 abstract description 4
- 239000002131 composite material Substances 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000004321 preservation Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013501 data transformation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003472 neutralizing effect Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/005—Robust watermarking, e.g. average attack or collusion attack resistant
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
- G06F21/106—Enforcing content protection by specific content processing
- G06F21/1063—Personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
- G06F21/16—Program or content traceability, e.g. by watermarking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
- G06T2201/0052—Embedding of the watermark in the frequency domain
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
- G06T2201/0065—Extraction of an embedded watermark; Reliable detection
Abstract
The invention discloses a kind of, and the tile data digital watermarking based on QR code generates embedding grammar.Firstly, reading one section of two dimensional code for having the text information of determining meaning and being converted into version three, binary two-dimensional array W is converted by two dimensional code according to coding mode0={ 0,1 }.The fixed watermark identifier information of 16*16 piecemeal insertion to the upper left corner of tile remote sensing image data, the lower left corner, the lower right corner, obtains low frequency value D to remaining each piece progress DCTij, using the low frequency value of watermark information modulation embedded block, DCT inverse transformation is carried out using modulated low frequency value, obtains the tile remotely-sensed data containing watermark.The extraction of watermark may be implemented according to the inverse process of the watermark embedding method.For this method on the basis of realizing the invisibility and blind Detecting of watermark, which is also effective against compression attack, splicing attack and Composite Attack, and strong robustness, Embedding efficiency are high, can effective protection tile remotely-sensed data in practical applications copyright.
Description
Technical field
The invention belongs to geography information copyright protection fields, and in particular to it is a kind of for tile remotely-sensed data based on QR code
Digital watermarking generate insertion and extracting method, with improve tile remotely-sensed data digital watermarking algorithm it is incompressible attack and anti-splicing
Attacking ability.
Background technique
With the construction and development of websites such as " day maps ", the Joint construction and sharing of geographic information resources is actively promoted,
Geography information public service is disposed and is issued by cloud platform, it can be made to be applied to the space number of government department and society
More efficiently and stablize according to service.
However, corresponding cartographic information is led in the form of the form being sliced deposits in server-side the very easy quilt of data
Downloading, while also increasing the difficulty for preventing electronic map stolen leads to tile data illegal download under network environment, illegal
The safety problems such as use to get worse and protrude.The random downloading of tile data has seriously endangered the equity of data owner, disturbs
The disorderly normal development of geomatics industry.How network environment under tile geodata copyright, neutralizing tile geography number are protected
It is current urgent problem to be solved according to the contradiction between shared, application and tile geodata safety.
Digital watermark technology is a kind of new technique for solving digital copyright protection problem, can be protected for copyrights of data
Shield, checks the reliable technological means of offers such as invalid data source at tracking data whereabouts.Digital watermarking refers in digitalized data
Middle insertion watermark information, watermark information and source data are combined together, become the inseparable a part of source data.Thus come true
Determine copyright owner, ownership certification, tracking abuse, the authenticity in authenticated digital content source, identification buyer, provide
Other additional informations etc. about digital content.Simultaneously for reinforcing sense of responsibility, fright illegal act, have good grounds and the tool such as look into fastly
It plays an important role.The effect that digital watermark technology plays in terms of military security guarantee, national security has been subjected to national government
The great attention of organ.
Digital watermarking achieves many applications in terms of the safeguard protection in the fields such as image, figure, video, audio, closely
Important application has also been obtained in mapping related fields within several years.
In terms of remote sensing image digital watermarking, have some researchs.It is built in the watermarking model based on spatial domain and transform domain
Vertical upper acquirement remarkable progress, it is especially prominent with the remote sensing image watermarking algorithm based on transform domain.The nearly lossless digital water of Barni application
Error caused by print technology embeds a watermark into control effectively, and Chen proposes a kind of DCT calculation based on characteristics of remote sensing image
Method, it points out the position for being not suitable for being inserted into watermark in DCT piecemeal and according to selection the characteristics of DCT piecemeal in suitable middle low frequency system
Watermark is embedded in number, to achieve the effect that enhance watermark robustness, reduce marginal information loss；Zhu Changqing proposes one kind and is based on
The block selection mechanism of pseudo-random sequence, is embedded in watermark information in DCT low frequency coefficient, and to the remote sensing image after insertion watermark into
Row control errors are to reach the target to remote sensing image near-lossless.However, being ground specifically for the watermarking algorithm of tile remotely-sensed data
Study carefully still few.
In terms of tile remotely-sensed data digital watermarking algorithm, Na is appointed to use digital watermark technology, is based on blind watermatking in one kind
Mapping mechanism on the basis of propose a kind of improved tile data watermarking algorithm, for the big feature of tile data amount, introduce
Parallel calculating method, and then realize the real-time watermark insertion of tile data；" day map " of the Fang Xiaole for deployment beyond the clouds
A kind of map watermark embedding inlay technique based on high robust under discrete cosine transform is proposed, lease is supplied in cloud service to realize
It answers quotient and publishes the copyright protection of map, which is avoided to a certain extent by quantization condition analysis calculation processing
Scrambled images of the watermarking images to JPEG compression, while also having extraordinary Shandong to common image processing method and attack
Stick.
In addition, common watermark information carrier is bianry image or random sequence, causes watermark information capacity small, work as watermark
It is easy to influence the interpretation of watermark information when identifying wrong, causes the False Rate of algorithm high.
Summary of the invention
The technical problems to be solved by the invention are customer service defect of the existing technology, propose a kind of based on QR
The tile data digital watermarking of code generates insertion and extracting method, can be realized the anti-of tile remotely-sensed data digital watermarking algorithm
Splicing and anti-JPEG compression ability.
In order to achieve the above-mentioned object of the invention, the technical solution used in the present invention are as follows:
A kind of tile data digital watermarking generation embedding grammar based on QR code, comprising the following steps:
Step 1: watermark information generates
Step 1.1: reading one section of text information for having determining meaning.Such as " Nanjing Normal University ".
Step 1.2: the text information of reading being converted into the two dimensional code of version three according to two dimensional code create-rule, and is carried out
Two dimensional code pretreatment is to compress the data volume for being embedded in watermark information.
The two dimensional code pretreatment: removal two dimensional code blank area, position sensing figure, positioning pattern and correction graph part
Watermark information.
Step 1.3: converting binary two-dimensional array W for two dimensional code according to coding mode0={ 0,1 }, is converted to
Array length be L=Length*Length.
Step 2: watermark is embedded in
Step 2.1: utilizing GDAL (Geospatial Data Abstraction Library, in X/MIT permission agreement
Under open source raster spatial data transformation warehouse) in the form of file read tile remote sensing image data.
Step 2.2: insertion identification information.16*16 piecemeal is carried out to tile remote sensing image data, in order to resist splicing
Attack needs the watermark identifier information fixed in the 16*16 piecemeal insertion in the tile data upper left corner, the lower left corner, the lower right corner, so as to
Improve the efficiency of the tile remotely-sensed data watermark detection of splicing.
Embedding method are as follows: the upper left corner, the lower left corner, the lower right corner 16*16 piecemeal DC component be embedded in watermark signal " 1 ",
And compare the size of intermediate frequency coefficient [2,3] and [4,2], guarantee DCT (the Discrete Cosine of each piecemeal
Transform, discrete cosine transform) in intermediate frequency coefficient [2,3] be greater than [4,2].
Step 2.3: DCT being carried out to remaining each 16*16 piecemeal and obtains the low frequency value D of the blockij, calculate quantized value.Wherein, round operation is rounding-off floor operation, and ξ is quantization step.
Step 2.4: currently embedded piece of low frequency value is modulated in watermark insertion using watermark information.Formula is as follows:
In formula: Wij is the watermark information of insertion.
Step 2.5: carrying out DCT inverse transformation using modulated low frequency value and obtained after the completion of all 16*16 block inverse transformations
Tile remotely-sensed data containing watermark.
The present invention is based on the extracting methods of the tile data digital watermarking of QR code, comprising the following steps: (is of the present invention
The inverse process of the tile data data waterprint embedded method of QR code):
Step A: tile remote sensing images are read in the form of file using GDAL.
Step B: identification information extracts.First 256*256 piecemeal is selected, judges that the upper left corner, the lower left corner, the lower right corner propose
Watermark identifier information it is whether wrong, i.e., whether the watermark information that each piece of DC component extracts is in " 1 " and each piece
Whether frequency coefficient [2,3] is greater than [4,2].If yes then enter step C, as not being, calculated in a manner of traversal next
256*256 piecemeal.
Step C: the low frequency value D' in the 256*256 piecemeal after the dct transform of each 16*16 piecemeal is calculatedij。
Step D: watermark extracting calculates quantized value λij=floor (Dij/ξ).Wherein, floor is floor operation.
In formula: Wij ˊ is the watermark information extracted.
Step E: having handled all 16*16 piecemeals, generates two dimensional code using the 0-1 data that two dimensional code decoding process obtains,
The two dimensional code is decoded, exports watermark information if correctly extracting watermark information, if can not the watermark that extracts of decoded information
Information errors turn to step B continuation and calculate next 256*256 piecemeal in a manner of traversing.
Feature of the method for the present invention according to tile remotely-sensed data, the tile remotely-sensed data copyright protection based on QR code of proposition
It is stronger can be reasonably resistant to JPEG compression attack, splicing attack and Composite Attack, algorithm robustness for algorithm；In conjunction with QR code
The big characteristic of capacity, improves watermark carrier capacity, in addition, the Error Correction of Coding of QR code improves algorithm from the angle of watermark information
Robustness；It is higher that the algorithm is embedded in watermark efficiency, and realizes the invisibility of watermark, is suitable for practical application.Side of the present invention
Method is effective against compression and splicing attack, thus the copyright of effective protection compression, spliced tile remotely-sensed data.Due to adopting
Error-correcting performance is improved with two-dimentional code watermark, improves the robustness of algorithm to a certain extent, when detecting watermark without original
Image realizes blind Detecting.The present invention can provide new skill for tile remotely-sensed data copyright protection, geographical national conditions monitoring etc.
Art means.
Detailed description of the invention
Fig. 1 is the watermark insertion flow chart of the method for the present invention.
Fig. 2 is one in the prior art original tile remotely-sensed data.
Fig. 3 is the image after the compression attack that Fig. 2 is 6 by compressibility factor.
Fig. 4 is the image that Fig. 2 is spliced after attack.
Fig. 5 is original watermark information two dimensional code.
Fig. 6 is the watermark detection flow chart of the method for the present invention.
Fig. 7 is the remote sensing image of embodiment of the present invention method test.
Fig. 8 is the effect picture after Fig. 6 insertion watermark.
Fig. 9 is the result figure for the compression attack that Fig. 7 is 6 by compressibility factor.
Figure 10 is the result figure that Fig. 7 is spliced attack.
Specific embodiment
Present invention is further described in detail with reference to the accompanying drawings and examples.
Embodiment:: selecting colored tile remotely-sensed data is experimental data, for data to read, pre-process, watermark information
Generation, watermark insertion, containing watermark provide the present invention according to preservation, watermark detection, the whole process of testing result output (extraction)
One embodiment, present invention be described in more detail.
Such as Fig. 7, the present embodiment selects the colored tile remotely-sensed data of single width 256*256 as experimental data, image size
For 256*256, data format JPEG.
The first part of embodiment, the tile data digital watermarking based on QR code generate telescopiny:
Step 1, watermark information generate
Step 1.1: reading the text information of one section of setting meaning, the text information of the present embodiment input are as follows: Nanjing is pedagogical
University.
Step 1.2: the text information of reading being converted into the two dimensional code of version three according to two dimensional code create-rule, and is carried out
Two dimensional code pretreatment is to compress the data volume for being embedded in watermark information, and the specific content that pre-processes is: removal two dimensional code blank area, position
The watermark information of figure, positioning pattern and correction graph part is detected, in addition, every 3*3 pixel only needs when reading watermark information
Read a data.
Step 1.3: converting binary two-dimensional array W for two dimensional code according to coding mode0={ 0,1 }, is converted to
Array length be 640.
Step 2: the tile data digital watermark embedding process based on QR code:
Step 2.1: tile remote sensing image data is read in the form of file using GDAL.
Step 2.2: identification information insertion.16*16 piecemeal is carried out to tile remotely-sensed data, is attacked in order to resist splicing
It hits, the watermark identifier information fixed in the 16*16 piecemeal insertion in the tile data upper left corner, the lower left corner, the lower right corner is needed, to mention
Height splicing tile remotely-sensed data watermark detection efficiency, embedding method are as follows: the upper left corner, the lower left corner, the lower right corner 16*16 piecemeal
DC component be embedded in watermark signal " 1 ", and compare the size of intermediate frequency coefficient [2,3] and [4,2], guarantee that each 16*16 divides
[2,3] are greater than [4,2] in the DCT intermediate frequency coefficient of block.
Step 2.3: DCT being carried out to remaining each 16*16 piecemeal and obtains the low frequency value D of the blockij, calculate quantized value.Wherein, round operation is rounding-off floor operation, and ξ is quantization step.
Step 2.4: currently embedded piece of low frequency value is modulated in watermark insertion using watermark information.Formula is as follows:
Step 2.5: carrying out DCT inverse transformation using modulated low frequency value and contained after the completion of all 8*8 block inverse transformations
The tile remotely-sensed data of watermark.
The second part of embodiment, the extraction process of the tile data digital watermarking based on QR code:
Step A: tile remote sensing images are read in the form of file using GDAL.
Step B: identification information extracts.First 256*256 piecemeal is selected, judges that the upper left corner, the lower left corner, the lower right corner propose
Watermark identifier information it is whether wrong, i.e., whether the watermark information that each piece of DC component extracts is in " 1 " and each piece
Whether frequency coefficient [2,3] is greater than [4,2], as not being, is calculated next if yes then enter step 3 in a manner of traversal
256*256 piecemeal；
Step C: the low frequency value D' in the 256*256 piecemeal after the dct transform of each 16*16 piecemeal is calculatedij；
Step D: watermark extracting calculates quantized value λij=floor (Dij/ξ).Wherein, floor is floor operation.
Step E: having handled all 16*16 piecemeals, the 0-1 data handled using ThoughtWork.QRCode.dll
Generate two dimensional code, decode the two dimensional code, if correctly extract watermark information if export watermark information, if can not decoded information mention
The watermark information mistake of taking-up turns to step 2 continuation and calculates next 256*256 piecemeal in a manner of traversing.
The Part III of embodiment, test and analysis
Method proposed by the invention is specific to the water mark method of tile remotely-sensed data, can be developed using this method
And realize the tile remotely-sensed data copyright protecting system based on digital watermark technology.
(1) format conversion attack
Tile remotely-sensed data common format is .jpg and .png format, is .png by the .jpg video conversion containing watermark of preservation
The data of format, the amount of capacity of data, header file can all change, but and have not been changed the pixel value of image, thus can
Effectively to extract watermark information；By the .png video conversion containing watermark of preservation be .jpg format process there are a degree of
Lossy compression, but the incompressible attacking ability of the algorithm remains to that it is made effectively to extract watermark information.The experimental results showed that the party
Method can be effective against format conversion attack, and recovery rate is all 100%.
(2) compression attack
JPEG compression can effectively reduce physical space shared by map sheet, be current tile remotely-sensed data it is most-often used one
Kind data format, it is thus possible to be effective against the performance for the tile remotely-sensed data watermarking algorithm that JPEG compression attack has been.To containing
Watermark carrier image carries out the JPEG compression attack experiment of the different compression quality factors, and carrying out compressibility factor to testing image is 7
Above JPEG compression, two-dimentional code watermark lossless can substantially propose, and the JPEG compression for being 6 in compressibility factor, extract
Two-dimentional code watermark although there is error code, but since two dimensional code itself has certain error correcting capability so knowledge still can be scanned
Read correct result.In the case that compressibility factor is less than 5, the quality of image has had already appeared relatively fuzzy show on subjective vision
As being unable to satisfy practical application request.Therefore the present invention has had under the premise of effectively meeting tile remote sensing data application
Resistance to compression.
(3) splicing attack
It needs for several tile remotely-sensed datas to be stitched together in practical applications, forms a width or a series of full research of coverings
The image in area, this brings new difficulty to watermark extraction algorithm.Different splicing map sheet sizes are tested using this method, difference is covered
The tile remotely-sensed data of cover area can correct scanning recognition go out watermark information, and splice watermark that attack is extracted close to lossless,
Show that the algorithm can be effective against the splicing attack of tile remotely-sensed data.
(4) Composite Attack
Generally in actual use tile remotely-sensed data with JPG format storage, that is to say, that splicing attack while
With compression attack, therefore Composite Attack experiment more can prove that effectiveness of the invention, if Fig. 9 is that four tiles are spliced
Stitching image, only lower right corner tile contains watermark information.It is demonstrated experimentally that when the JPEG compression factor is 6,7, the tile of splicing
The QR code that remotely-sensed data extracts remains to scanning recognition, shows that the algorithm can be used in practical application.In addition, with common two-value water
Watermark image calculating related coefficient is different to verify whether the method for extracting effective watermark, in the higher situation of compressibility factor,
Although there is the bit error rate in the two-dimentional code watermark extracted, but the copyright information that the error-correcting performance of two dimensional code obtains scanning recognition is not
It can change.
Claims (4)
1. a kind of tile data digital watermarking based on QR code generates embedding grammar, comprising the following steps:
Step 1: watermark information generates
Step 1.1: reading one section of text information for having determining meaning；
Step 1.2: the text information of reading being converted into the two dimensional code of version three according to two dimensional code create-rule, and carries out two dimension
Code pretreatment；
Step 1.3: converting binary two-dimensional array W for two dimensional code according to coding mode0={ 0,1 }, the array being converted to
Length is L=Length*Length；
Step 2: watermark is embedded in
Step 2.1: tile remote sensing image data is read in the form of file using GDAL；
Step 2.2: insertion identification information
16*16 piecemeal is carried out to tile remote sensing image data, the 16*16 piecemeal in the tile data upper left corner, the lower left corner, the lower right corner
It is embedded in fixed watermark identifier information；
Step 2.3: DCT being carried out to remaining each 16*16 piecemeal and obtains the low frequency value D of the blockij, calculate quantized value
λij=round (Dij/ξ)
Wherein, round operation is rounding-off floor operation, and ξ is quantization step；
Step 2.4: currently embedded piece of low frequency value is modulated in watermark insertion using watermark information according to the following formula:
In formula: Wij is the watermark information of insertion；
Step 2.5: carrying out DCT inverse transformation using modulated low frequency value and contained after the completion of all 16*16 piecemeal inverse transformations
The tile remotely-sensed data of watermark.
2. a kind of tile data digital watermarking based on QR code generates embedding grammar according to claim 1, it is characterized in that: institute
Stating two dimensional code pretreatment is: the watermark of removal two dimensional code blank area, position sensing figure, positioning pattern and correction graph part is believed
Breath.
3. a kind of tile data digital watermarking based on QR code according to claim 1 or claim 2 generates embedding grammar, feature
It is: believes described in step 2.2 in the fixed watermark identifier of the 16*16 piecemeal insertion in the tile data upper left corner, the lower left corner, the lower right corner
Breath, embedding method are as follows: the upper left corner, the lower left corner, the lower right corner 16*16 piecemeal DC component be embedded in watermark signal " 1 ", compare
The size of intermediate frequency coefficient [2,3] and [4,2], so that [2,3] are greater than [4,2] in the DCT intermediate frequency coefficient of each piecemeal.
4. a kind of base of the tile data digital watermarking generation embedding grammar generation insertion based on QR code described in a kind of claim 1
In the extracting method of the tile data digital watermarking of QR code, the steps include:
Step A: tile remote sensing images are read in the form of file using GDAL；
Step B: identification information extracts
First 256*256 piecemeal is selected, whether the watermark identifier information for judging that the upper left corner, the lower left corner, the lower right corner propose is wrong,
The watermark information that i.e. each piece of DC component extracts whether be " 1 " and each piece of intermediate frequency coefficient [2,3] whether be greater than [4,
2]；
If the watermark information that each piece of DC component extracts is " 1 ", C is entered step,
Otherwise, next 256*256 piecemeal is calculated in a manner of traversal；
Step C: the low frequency value D' in the 256*256 piecemeal after the dct transform of each 16*16 piecemeal is calculatedij；
Step D: watermark extracting calculates quantized value λ 'ij=floor (Dij/ξ)；Wherein, floor is floor operation；
In formula: Wij ˊ is the watermark information extracted；
Step E: having handled all 16*16 piecemeals, is generated using the 0-1 data that ThoughtWork.QRCode.dll is handled
Two dimensional code decodes the two dimensional code；
Watermark information is exported if correctly extracting watermark information,
If the watermark information mistake that can not be extracted if decoded information, turn to step B continuation calculated in a manner of traversing it is next
256*256 piecemeal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610792121.3A CN106485641B (en) | 2016-08-31 | 2016-08-31 | A kind of tile data digital watermarking generation insertion and extracting method based on QR code |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610792121.3A CN106485641B (en) | 2016-08-31 | 2016-08-31 | A kind of tile data digital watermarking generation insertion and extracting method based on QR code |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106485641A CN106485641A (en) | 2017-03-08 |
| CN106485641B true CN106485641B (en) | 2019-10-01 |
Family
ID=58273365
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610792121.3A Active CN106485641B (en) | 2016-08-31 | 2016-08-31 | A kind of tile data digital watermarking generation insertion and extracting method based on QR code |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106485641B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108764422A (en) * | 2018-05-15 | 2018-11-06 | 普联技术有限公司 | Quick Response Code insertion, extracting method and the device of image |
| CN110505218B (en) * | 2019-08-07 | 2021-11-16 | 中国电子科技集团公司第二十八研究所 | Grid data self-adaptive compression transmission method based on JSON and computer storage medium |
| CN111432218B (en) * | 2020-04-30 | 2021-12-14 | 广州酷狗计算机科技有限公司 | Video encoding and decoding method, device, terminal and storage medium |
| CN112218090B (en) * | 2020-10-20 | 2022-05-27 | 桂林电子科技大学 | Information hiding and extracting method for embedding color two-dimensional code into color image |
| CN114862646B (en) * | 2022-05-10 | 2024-01-30 | 南京师范大学 | Watermark embedding and extracting method and system for vector tile anti-splicing |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1455578A (en) * | 2003-05-10 | 2003-11-12 | 合肥工业大学 | Image waterprint method for copyright protection |
| CN101004831A (en) * | 2007-01-25 | 2007-07-25 | 北京大学 | Methof for embedding and extracting watermark based on statistical model of coefficient in transform domain of digital images |
| CN101122996A (en) * | 2007-09-12 | 2008-02-13 | 北京大学 | Digital image embedding, extraction method and device |
| CN102682239A (en) * | 2012-05-08 | 2012-09-19 | 常熟南师大发展研究院有限公司 | Digital watermark technology based copyright protection method orienting to remote sensing tile data |
| CN103955634A (en) * | 2014-05-15 | 2014-07-30 | 南京师范大学 | Copyright protecting method based on digital watermark technology and aiming at tile remote sensing data |
| CN105608661A (en) * | 2015-12-28 | 2016-05-25 | 辽宁师范大学 | Shear wave domain audio watermark embedding and detecting method based on robust QR decomposition |
| CN105761197A (en) * | 2016-02-18 | 2016-07-13 | 南京师范大学 | Feature invariants based remote sensing image watermark method |
-
2016
- 2016-08-31 CN CN201610792121.3A patent/CN106485641B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1455578A (en) * | 2003-05-10 | 2003-11-12 | 合肥工业大学 | Image waterprint method for copyright protection |
| CN101004831A (en) * | 2007-01-25 | 2007-07-25 | 北京大学 | Methof for embedding and extracting watermark based on statistical model of coefficient in transform domain of digital images |
| CN101122996A (en) * | 2007-09-12 | 2008-02-13 | 北京大学 | Digital image embedding, extraction method and device |
| CN102682239A (en) * | 2012-05-08 | 2012-09-19 | 常熟南师大发展研究院有限公司 | Digital watermark technology based copyright protection method orienting to remote sensing tile data |
| CN103955634A (en) * | 2014-05-15 | 2014-07-30 | 南京师范大学 | Copyright protecting method based on digital watermark technology and aiming at tile remote sensing data |
| CN105608661A (en) * | 2015-12-28 | 2016-05-25 | 辽宁师范大学 | Shear wave domain audio watermark embedding and detecting method based on robust QR decomposition |
| CN105761197A (en) * | 2016-02-18 | 2016-07-13 | 南京师范大学 | Feature invariants based remote sensing image watermark method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106485641A (en) | 2017-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106485641B (en) | A kind of tile data digital watermarking generation insertion and extracting method based on QR code | |
| Kumar et al. | Image Transformation Technique Using Steganography Methods Using LWT Technique Image Transformation Technique Using Steganography Methods Using LWT Technique | |
| Miller et al. | Informed embedding: exploiting image and detector information during watermark insertion | |
| Bas et al. | Geometrically invariant watermarking using feature points | |
| US9773290B2 (en) | Content watermarking | |
| CN111968027B (en) | Robust color image zero watermarking method based on SURF and DCT features | |
| Roy et al. | Watermarking through image geometry change tracking | |
| CN105761197A (en) | Feature invariants based remote sensing image watermark method | |
| Keskinarkaus et al. | Image watermarking with feature point based synchronization robust to print–scan attack | |
| Lian et al. | Content distribution and copyright authentication based on combined indexing and watermarking | |
| Liu et al. | Image authentication using QR code watermarking approach based on image segmentation | |
| CN106373078A (en) | Watermark-containing tile remote sensing image location method based on location block mechanism | |
| Pham et al. | Geometrically invariant object-based watermarking using SIFT feature | |
| CN107358072B (en) | Vector map digital fingerprint copyright protection method based on I code and CFF code | |
| KR100944488B1 (en) | Watermark Inserting Method to Vector data for using Azimuth Information and Watermark Detecting Method to the same | |
| Abbas et al. | Digital vector map watermarking: Applications, techniques and attacks | |
| CN102682239A (en) | Digital watermark technology based copyright protection method orienting to remote sensing tile data | |
| Mettripun et al. | Robust image watermarking based on luminance modification | |
| Ayesha et al. | An Imperceptible Digital Image Watermarking Technique by Compressed Watermark Using PCA | |
| Barni et al. | Robust watermarking of cartographic images | |
| Allaf et al. | Watermarking Image Scheme Based on Image Content and Corners Decomposition Method | |
| Koz et al. | 3D watermarking: techniques and directions | |
| Stanescu et al. | A hybrid watermarking technique using singular value decomposition | |
| Jain | Watermarking Algorithm using Bacterial Foraging Optimization | |
| CN106373081A (en) | Remote-sensing image digital watermarking embedding and extraction method based on QR codes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |