CN105761197A - Feature invariants based remote sensing image watermark method - Google Patents
Feature invariants based remote sensing image watermark method Download PDFInfo
- Publication number
- CN105761197A CN105761197A CN201610091529.8A CN201610091529A CN105761197A CN 105761197 A CN105761197 A CN 105761197A CN 201610091529 A CN201610091529 A CN 201610091529A CN 105761197 A CN105761197 A CN 105761197A
- Authority
- CN
- China
- Prior art keywords
- watermark
- remote sensing
- sensing image
- watermark information
- piecemeal
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000008569 process Effects 0.000 claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 238000013507 mapping Methods 0.000 claims abstract description 7
- 230000004044 response Effects 0.000 claims description 19
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 8
- 239000000284 extract Substances 0.000 claims description 6
- 230000009466 transformation Effects 0.000 claims description 6
- 229910002056 binary alloy Inorganic materials 0.000 claims description 5
- 238000002372 labelling Methods 0.000 claims description 5
- 238000001228 spectrum Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 abstract description 7
- 230000008901 benefit Effects 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 7
- 238000012360 testing method Methods 0.000 description 6
- 238000006243 chemical reaction Methods 0.000 description 5
- 238000005520 cutting process Methods 0.000 description 5
- 238000010008 shearing Methods 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000006002 Pepper Substances 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 230000000007 visual 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Technology Law (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- General Engineering & Computer Science (AREA)
- Editing Of Facsimile Originals (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a feature invariant based remote sensing image watermark method which is directed at overcoming the incompatibility between anti-geometric attack and anti common image processing attack of the DCT algorithm and at the same time fully exhibits the advantages of 2D code, such as large storage information amount and strong error correction. The method includes the following steps: looking for invariants in 8 x 8 subblocks converted by the DCT algorithm, calculating embedded watermark information bits by using a mapping function in combination with the invariants, marking an initial position of each 8 x 8 subblock with intermediate frequency coefficients. In the process of watermark detection, image blocks containing watermark information can be located in a rapid and accurate manner through the determination of a feature location region. According to the invention, features of pixel digital numbers of remote sensing images before and after the geometric attack are fully utilized to address the problem of desynchrony of watermark information, which substantially increases robustness of the DCT algorithm, addresses the problem of inability of current remote sensing image digital watermark algorithm to resist cropping attacks, and effectively protects copyright of remote sensing image data.
Description
Technical field
The invention belongs to geography information copyright protection field, be specifically related to a kind of digital watermark embedding adopting feature watermark labelling watermark embedded location for remote sensing image data and detection method, to improve remote sensing image digital watermarking algorithm robustness.
Background technology
In recent years, along with developing rapidly of digitized and network times, the storage of digital remote sensing image, transmission, duplication all become very convenient fast.The illegal copies of remotely-sensed data and duplication, the owner not only resulting in remote sensing images suffers tremendous economic loss, more entail dangers to national security, national defense safety etc..This makes data owner be reluctant open easily or issue its product, is reluctant to share, dare not share, seriously hinders the development of geomatics industry.Therefore, the safety of remotely-sensed data and intellectual property how is protected to become extremely urgent problem.
Digital watermark technology is as a kind of brand-new information security technology, and the safeguard protection for remote sensing image provides a kind of practicable solution route.Digital watermarking refers to embedding watermark information in digitalized data, watermark information and source data is combined together, becomes the inseparable part of source data.Thus determine copyright owner, proprietary rights certification, tracking abuse, the verity in authenticated digital content source, identification buyer, other additional informations etc. about digital content are provided.Simultaneously for strengthening responsibility, fright illegal act, having good grounds to look into soon etc. has important function.The effect that digital watermark technology plays in military security guarantee, national security has been subjected to the great attention of national government office.
Digital watermarking achieves many application in the safeguard protection in the fields such as image, figure, video, audio frequency, have also been obtained important application in mapping association area in recent years.
Common watermark information carrier has bianry image, random sequence etc., but these bearer capabilities are little, the interpretation of watermark information is affected when watermark identification is wrong, and generally require transcoding, by comparison, Quick Response Code has that information capacity is big, reliability is high, can represent the advantages such as the much information such as Chinese character and image, is the ideal chose of watermark information carrier.Meanwhile, two-dimensional bar code itself has Error Correction of Coding, and Error Correction of Coding has strong error detection, error correction.Choosing suitable correction rank, can meet different error correction demands, owing to Quick Response Code has the characteristic of high error correction, certain noise can't affect its recognition, therefore, it can be used as carrier can be effectively improved the robustness of watermark.
At present, Quick Response Code is widely used in all trades and professions due to the many advantages of self, but, data message conversion method disclosed in it determines it can not individually be competent at Information hiding and the mission such as false proof.Digital watermark technology is to carry out copyright protection of digital product and false proof effective tool under the information age, and therefore, this method selects two-dimensional bar code and digital watermarking to combine, and meets real false proof demand with this.
Summary of the invention
It is an object of the invention to: watermark information location cannot be solved for current remote sensing image digital watermark, be difficult to the problems such as opposing optional position shearing attack, poor robustness, digital watermark embedding and the detection method of a kind of remote sensing image data utilizing feature watermark Identifies copyright watermark are proposed, it is achieved there is the remote sensing image copyright authentication that strong anti-cutting, compression, translation, noise, filtering etc. are attacked.
With Quick Response Code for watermark carrier, being applied to the watermarking algorithm of remote sensing image data copyright protection, in order to realize foregoing invention purpose, the technical scheme that the remote sensing image water mark method of a kind of feature based invariant of the present invention is taked mainly includes procedure below:
1) watermark information generates process
Step 11: read significant Word message；
Step 12: according to Quick Response Code create-rule, the Word message of reading is converted to a certain size Quick Response Code；
Step 13: Quick Response Code is converted into binary two-dimensional array W according to coded system0={ 0,1}, the array length being converted to is Length*Length；
Step 14: two-dimensional array is carried out spread spectrum, add value is the feature watermark of complete 1, obtains watermark information W, and its array length is (Length+1) * (Length+1)；
2) watermark telescopiny
Step 21: the reading of data and process, reads the remote sensing image data of watermark information to be embedded, obtains the size of data；
Step 22: the length according to watermark information W, the piecemeal that image data carries out 8*8 processes, it is ensured that every piece can embed once complete watermark；
Step 23: each 8*8 piecemeal is carried out dct transform；
Step 24: take the intermediate frequency coefficient after dct transform [4,3] and [5,2], compare the two size；When intermediate frequency coefficient [4,3] less than [5,2] time by two number exchanges, it is ensured that in the 8*8 piecemeal after dct transform, [4,3] are more than [5,2], in this, as the labelling finding 8*8 piecemeal original position；
Step 25: front for each 8*8 piecemeal 16 intermediate frequency coefficients are carried out zig-zag sequence, each intermediate frequency coefficient is designated as 1 be more than or equal to 0, is designated as 0 less than 0,16 binary systems is equally divided into four groups, the binary number often organized is converted into a decimal number Ai；
Step 26: set up decimal number AiWith the mapping function that watermark embeds figure place m, watermark total length is designated as k:
Step 27: adopt the mode quantified to be embedded in the low frequency coefficient of 8*8 block by watermark information W；
Step 28: the data block after embedding watermark is carried out DCT inverse transformation, and all pieces of residue is carried out inverse transformation, just can obtain the remote sensing image containing watermark；
Step 29: preserve the image data after embedding watermark information.
Utilize the process that above-mentioned water mark method carries out detecting as follows:
Step one: the reading of data and process, reads the remote sensing image data that described step 29 is with watermarked information, obtains the size of data, it is judged that data are the need of carrying out piecemeal process；
Step 2: remote sensing image data is carried out 8*8 piecemeal, takes first 8*8 piecemeal of this remote sensing image data and carries out dct transform, if intermediate frequency coefficient [4,3] more than [5,2], then step 3 is carried out, otherwise, step 2 traversal remote sensing image is repeated by the order of Row Column；
Step 3: calculate the low frequency value D after the dct transform of 8*8 piecemeali'j；
Step 4: after front 16 intermediate frequency coefficients of each 8*8 piecemeal are carried out zig-zag sequence, being equally divided into four groups, each intermediate frequency coefficient is designated as 1 be more than or equal to 0, is designated as 0 less than 0,16 binary systems are equally divided into four groups, the binary number often organized is converted into a decimal number Ai；
Step 5: calculate the watermark figure place that 8*8 piecemeal correspondence comprises according to formula (1)；
Step 6: based on the watermark information 0 or 1 of the corresponding watermark figure place of watermark detection Rule Extraction quantified；
Step 7: processed all 8*8 piecemeals by step 2 to six, adopts majority principle, namely determines the watermark W extracted according to the majority that the value of watermark information is 0 and 1ij', these values more than half be 1, then Wij' value is 1, otherwise value is 0；
Step 8: after obtaining the watermark information extracted, calculate the registration pattern part of the watermark information extracted and the correlation coefficient of respective version registration pattern, the exportable watermark information when correlation coefficient is higher than 0.8, is defined as this pixel extracting original position input and extracts function；Otherwise, continue to repeat step one；
Step 9: the watermark information extracted is generated Quick Response Code；
Step 10: watermarking detecting results exports.
The method of the present invention process for DCT algorithm resist geometric attacks and anti-common image attack can not be satisfactory to both parties shortcoming carried out algorithm and made up, also given full play to the advantage that Quick Response Code information memory capacity is big, error correcting capability is strong simultaneously.The 8*8 piecemeal of dct transform is found invariant, uses mapping function to calculate the watermark information position embedded in conjunction with this invariant, and by the original position of each 8*8 piecemeal of intermediate frequency coefficient labelling.When carrying out watermark detection, by the judgement in feature location region, quickly, it is accurately positioned the image blocks containing watermark information.The method takes full advantage of the pixel value of remote sensing image characteristic before and after geometric attack; solve the nonsynchronous problem of watermark information; thus substantially increasing the robustness of algorithm; solving current remote sensing image digital watermarking algorithm cannot the problem of resisting cropping attack; it is effectively protected the copyright problem of remote sensing image data, can be used in the service of remote sensing image copyright protection.
Accompanying drawing explanation
The watermark that Fig. 1 is the inventive method embeds flow chart；
Fig. 2 is the remote sensing image of the inventive method embodiment test；
Fig. 3 is the watermark detection flow chart of the inventive method；
Fig. 4 is the design sketch after Fig. 2 embeds watermark；
Fig. 5 is the Quick Response Code watermark information figure embedded；
Fig. 6 is the Quick Response Code watermark information figure extracted；
Fig. 7 is the image after Fig. 4 is deleted attack；
Fig. 8 is the image after the cropped attack of Fig. 4；
Fig. 9 is that Fig. 4 is by the image after compression attack.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described in further detail.
The present embodiment selects single-range remote sensing image data to be experimental data, for the whole process that the reading of data, pretreatment, watermark information generation, watermark embedding, containing watermark export according to preservation, watermark detection, testing result, provide one embodiment of the present of invention, further describe the present invention.
Such as Fig. 2, the present embodiment selects the single channel remote sensing image data of a width 2737*2148 as experimental data, and data form is geotif.
1. watermark information generates:
Step one: the watermark information of input copyrights of data, the watermark information of the present embodiment is: Ji Yin；
Step 2: utilize Quick Response Code create-rule, is converted to the Quick Response Code being sized to 22 × 22 by the text message of output；
Step 3: read Quick Response Code and obtain a binary sequence W0；
Step 4: two-dimensional array carries out spread spectrum, value added is all the feature watermark of 1, obtains watermark information W, and array length is 23 × 23.
2. the embedding of watermark information:
Step one: adopt GDAL storehouse to read experiment remote sensing image data；
Step 2: according to watermark information length, remote sensing image data carried out 8*8 piecemeal, and carry out dct transform to each piece；
Step 3: take the intermediate frequency coefficient after dct transform [4,3] and [5,2], compare the two size；
Step 4: if intermediate frequency coefficient [4,3] is less than [5,2], by two number exchanges, in this, as the labelling finding 8*8 piecemeal original position；
Step 5: front for each 8*8 block 16 intermediate frequency coefficients are carried out zig-zag sequence；
Step 6: for intermediate frequency coefficient be negative be labeled as 0, be otherwise 1；
Step 7: every four intermediate frequency coefficients are one group, are divided into into four groups, convert the binary number often organized to decimal scale Ai；
Step 8: set up AiWith the mapping function that watermark embeds figure place m, watermark total length is designated as k:
Step 9: adopt the mode quantified to be embedded in the DC component of 8*8 block by watermark information；
Step 10: the data block after embedding watermark is carried out DCT inverse transformation, and carries out inverse transformation to all pieces, so just can obtain the remote sensing image containing watermark；
Step 11: preserve the image data after embedding watermark information.
3. the extraction of watermark information:
Step one: adopt GDAL storehouse to read remote sensing image data to be detected, obtain the size of data；
Step 2: remote sensing image is carried out 8*8 piecemeal, and each piece of image is carried out dct transform；
Step 3: take the intermediate frequency coefficient [4,3] after each piece of dct transform and [5,2], it is judged that the size of the two, if intermediate frequency coefficient [4,3] is more than [5,2], then carries out step 4；Otherwise, step 2 traversal remote sensing image is repeated by the order of Row Column；
Step 4: calculate the low frequency value D after the dct transform of this 8*8 piecemeali'j；
Step 5: after front 16 intermediate frequency coefficient zig-zag sequence of each 8*8 block, for intermediate frequency coefficient be negative be labeled as 0, be otherwise 1；
These four groups of binary systems are converted into a decimal number A by step 6: every four intermediate frequency coefficients are a group, are divided into into four groupsi；
Step 7: according to AiThe mapping function embedding figure place m with watermark calculates the corresponding watermark figure place comprised of this 8*8 block:
Step 8: according to the inverse operation rule embedded, extract the watermark information 0 or 1 of corresponding watermark figure place；
Step 9: processed all 8*8 piecemeals, adopts majority principle, namely determines to extract to obtain watermark W according to the majority that the value of watermark information is 0 and 1ij', these values more than half be 1, then Wij' value is 1, otherwise value is 0；
Step 10: after obtaining the watermark information extracted, calculate the registration pattern part of the watermark information extracted and the correlation coefficient of respective version registration pattern, the exportable watermark information when correlation coefficient is higher than 0.8, is defined as this pixel extracting original position input and extracts function；Otherwise, continue to repeat step one；
Step 11: the watermark information extracted is generated Quick Response Code；
Step 12: the extraction result of watermark is exported.
4. the feature of this method and technical advantage
The most key in this method is that the embedding original position of watermark is determined, by the mark of feature watermark, well establishes the embedded location of watermark, so can ensure that watermark bit one_to_one corresponding when embedding and extract.Therefore, the method can well resisting cropping attack.
5. test and analysis
Method proposed by the invention is specific to the water mark method of remote sensing image, adopts the method can develop and realize the remote sensing image data copyright protecting system based on digital watermark technology.
(1) form conversion is attacked
The geotif data embedding watermark information are carried out form conversion, generates the data of bmp, jpg, png and img form.After conversion, then the data of these forms are carried out watermark information extraction.Test result indicate that, the method can be effective against form conversion and attack, and extraction ratio is all 100%.
(2) shearing attack
Remote sensing image often data are relatively larger, and after cutting, data still have higher use value, thus, good algorithm should resist the shearing attack of optional position.After shearing attack, the size of data of remote sensing image can change, and destroys the synchronized relation of watermark information and embedded location.
To carry out cutting containing watermark image, the position of cutting is arbitrary, the effect of cutting such as Fig. 8.Test result indicate that, even if be cropped to (10%) of raw video, watermark information still can correctly extract, and the extraction ratio of Water In The Experiment print is 100%.
(3) attack of making an uproar is added
Noise can change the visual effect of image to a certain extent, if noise amplitude is little, the quality of image will not be caused fatefulue destruction.To having carried out salt-pepper noise and Gaussian noise containing watermark image, test result indicate that, this method can be effective against adding attack of making an uproar, and the extraction ratio of Water In The Experiment print is 100%.
Claims (2)
1. the remote sensing image water mark method of a feature based invariant, it is characterised in that the method includes procedure below:
1) watermark information generates process
Step 11: read significant Word message；
Step 12: according to Quick Response Code create-rule, the Word message of reading is converted to a certain size Quick Response Code；
Step 13: Quick Response Code is converted into binary two-dimensional array W according to coded system0={ 0,1}, the array length being converted to is Length*Length；
Step 14: two-dimensional array is carried out spread spectrum, add value is the feature watermark of complete 1, obtains watermark information W, and its array length is (Length+1) * (Length+1)；
2) watermark telescopiny
Step 21: the reading of data and process, reads the remote sensing image data of watermark information to be embedded, obtains the size of data；
Step 22: the length according to watermark information W, the piecemeal that image data carries out 8*8 processes, it is ensured that every piece can embed once complete watermark；
Step 23: each 8*8 piecemeal is carried out dct transform；
Step 24: take the intermediate frequency coefficient after dct transform [4,3] and [5,2], compare the two size；When intermediate frequency coefficient [4,3] less than [5,2] time by two number exchanges, it is ensured that in the 8*8 piecemeal after dct transform, [4,3] are more than [5,2], in this, as the labelling finding 8*8 piecemeal original position；
Step 25: front for each 8*8 piecemeal 16 intermediate frequency coefficients are carried out zig-zag sequence, each intermediate frequency coefficient is designated as 1 be more than or equal to 0, is designated as 0 less than 0,16 binary systems is equally divided into four groups, the binary number often organized is converted into a decimal number Ai；
Step 26: set up decimal number AiWith the mapping function that watermark embeds figure place m, watermark total length is designated as k:
Step 27: adopt the mode quantified to be embedded in the low frequency coefficient of 8*8 block by watermark information W；
Step 28: the data block after embedding watermark is carried out DCT inverse transformation, and all pieces of residue is carried out inverse transformation, just can obtain the remote sensing image containing watermark；
Step 29: preserve the image data after embedding watermark information.
2. the remote sensing image water mark method of a kind of feature based invariant according to claim 1, it is characterised in that utilize the process that described water mark method carries out detecting as follows:
Step one: the reading of data and process, reads the remote sensing image data that described step 29 is with watermarked information, obtains the size of data, it is judged that data are the need of carrying out piecemeal process；
Step 2: remote sensing image data is carried out 8*8 piecemeal, takes first 8*8 piecemeal of this remote sensing image data and carries out dct transform, if intermediate frequency coefficient [4,3] more than [5,2], then step 3 is carried out, otherwise, step 2 traversal remote sensing image is repeated by the order of Row Column；
Step 3: calculate the low frequency value D ' after the dct transform of 8*8 piecemealij；
Step 4: after front 16 intermediate frequency coefficients of each 8*8 piecemeal are carried out zig-zag sequence, being equally divided into four groups, each intermediate frequency coefficient is designated as 1 be more than or equal to 0, is designated as 0 less than 0,16 binary systems are equally divided into four groups, the binary number often organized is converted into a decimal number Ai；
Step 5: calculate the watermark figure place that 8*8 piecemeal correspondence comprises according to formula (1)；
Step 6: based on the watermark information 0 or 1 of the corresponding watermark figure place of watermark detection Rule Extraction quantified；
Step 7: processed all 8*8 piecemeals by step 2 to six, adopts majority principle, namely determines the watermark W ' extracted according to the majority that the value of watermark information is 0 and 1ij, these values more than half be 1, then W 'ijValue is 1, and otherwise value is 0；
Step 8: after obtaining the watermark information extracted, calculate the registration pattern part of the watermark information extracted and the correlation coefficient of respective version registration pattern, the exportable watermark information when correlation coefficient is higher than 0.8, is defined as this pixel extracting original position input and extracts function；Otherwise, continue to repeat step one；
Step 9: the watermark information extracted is generated Quick Response Code；
Step 10: watermarking detecting results exports.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610091529.8A CN105761197B (en) | 2016-02-18 | 2016-02-18 | A kind of remote sensing image water mark method based on property invariant |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610091529.8A CN105761197B (en) | 2016-02-18 | 2016-02-18 | A kind of remote sensing image water mark method based on property invariant |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105761197A true CN105761197A (en) | 2016-07-13 |
| CN105761197B CN105761197B (en) | 2018-11-16 |
Family
ID=56330124
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610091529.8A Expired - Fee Related CN105761197B (en) | 2016-02-18 | 2016-02-18 | A kind of remote sensing image water mark method based on property invariant |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105761197B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327417A (en) * | 2016-08-31 | 2017-01-11 | 南京师范大学 | QR code watermark image data compression and coding method |
| CN106373078A (en) * | 2016-08-31 | 2017-02-01 | 南京师范大学 | Watermark-containing tile remote sensing image location method based on location block mechanism |
| CN106373081A (en) * | 2016-08-31 | 2017-02-01 | 南京师范大学 | Remote-sensing image digital watermarking embedding and extraction method based on QR codes |
| CN106408497A (en) * | 2016-08-31 | 2017-02-15 | 南京师范大学 | Strong-robustness watermark embedding and extraction method for original remote sensing images |
| CN106485641A (en) * | 2016-08-31 | 2017-03-08 | 南京师范大学 | A kind of tile data digital watermarking based on QR code generates embedded and extracting method |
| CN107845118A (en) * | 2017-11-23 | 2018-03-27 | 矽图（厦门）科技有限公司 | A kind of digitization image processing method |
| CN110599388A (en) * | 2019-08-26 | 2019-12-20 | 华中科技大学 | Blind robust digital watermark embedding and detecting method based on positioning point assistance |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090080688A1 (en) * | 2007-09-25 | 2009-03-26 | The Hong Kong University Of Science And Technology | Digital watermarking for few-color images |
| 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 |
-
2016
- 2016-02-18 CN CN201610091529.8A patent/CN105761197B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090080688A1 (en) * | 2007-09-25 | 2009-03-26 | The Hong Kong University Of Science And Technology | Digital watermarking for few-color images |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 林威等: ""基于QＲ码的遥感影像数字水印算法"", 《北京邮电大学学报》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327417A (en) * | 2016-08-31 | 2017-01-11 | 南京师范大学 | QR code watermark image data compression and coding method |
| CN106373078A (en) * | 2016-08-31 | 2017-02-01 | 南京师范大学 | Watermark-containing tile remote sensing image location method based on location block mechanism |
| CN106373081A (en) * | 2016-08-31 | 2017-02-01 | 南京师范大学 | Remote-sensing image digital watermarking embedding and extraction method based on QR codes |
| CN106408497A (en) * | 2016-08-31 | 2017-02-15 | 南京师范大学 | Strong-robustness watermark embedding and extraction method for original remote sensing images |
| CN106485641A (en) * | 2016-08-31 | 2017-03-08 | 南京师范大学 | A kind of tile data digital watermarking based on QR code generates embedded and extracting method |
| CN106373078B (en) * | 2016-08-31 | 2019-07-02 | 南京师范大学 | A kind of positioning method of remote sensing image of tile containing watermark based on locating piece mechanism |
| CN106485641B (en) * | 2016-08-31 | 2019-10-01 | 南京师范大学 | A kind of tile data digital watermarking generation insertion and extracting method based on QR code |
| CN107845118A (en) * | 2017-11-23 | 2018-03-27 | 矽图（厦门）科技有限公司 | A kind of digitization image processing method |
| CN107845118B (en) * | 2017-11-23 | 2021-04-13 | 矽图（厦门）科技有限公司 | Data image processing method |
| CN110599388A (en) * | 2019-08-26 | 2019-12-20 | 华中科技大学 | Blind robust digital watermark embedding and detecting method based on positioning point assistance |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105761197B (en) | 2018-11-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105761197A (en) | Feature invariants based remote sensing image watermark method | |
| Pereira et al. | Fast robust template matching for affine resistant image watermarks | |
| Zhang et al. | Reference sharing mechanism for watermark self-embedding | |
| Deguillaume et al. | Method for the estimation and recovering from general affine transforms in digital watermarking applications | |
| Wu et al. | SVD-based self-embedding image authentication scheme using quick response code features | |
| CN111968027A (en) | Robust color image zero watermarking method based on SURF and DCT features | |
| Chen et al. | Blind image steganalysis based on statistical analysis of empirical matrix | |
| CN106485641A (en) | A kind of tile data digital watermarking based on QR code generates embedded and extracting method | |
| Hemida et al. | A restorable fragile watermarking scheme with superior localization for both natural and text images | |
| CN114036467A (en) | Block chain-based short video copyright protection method | |
| Liu et al. | Image authentication using QR code watermarking approach based on image segmentation | |
| Guan et al. | An effective image steganalysis method based on neighborhood information of pixels | |
| Wu et al. | A novel active image authentication scheme for block truncation coding | |
| Abraham et al. | Image watermarking using DCT in selected pixel regions | |
| CN110349072B (en) | Watermark synchronization method in vector geographic data watermark embedding and detecting process | |
| Nassar et al. | Reliable mark-embedded algorithm for verifying archived/encrypted image contents in presence different attacks with FEC utilizing consideration | |
| KR100944488B1 (en) | Watermark Inserting Method to Vector data for using Azimuth Information and Watermark Detecting Method to the same | |
| Wang et al. | Review on digital image watermarking based on singular value decomposition | |
| CN106373081A (en) | Remote-sensing image digital watermarking embedding and extraction method based on QR codes | |
| Kountchev et al. | Resistant image watermarking in the phases of the complex hadamard transform coefficients | |
| Chetan et al. | An intelligent blind semi-fragile watermarking scheme for effective authentication and tamper detection of digital images using curvelet transforms | |
| CN111339238A (en) | Vector geographic data digital watermarking method capable of resisting projective transformation | |
| Choi et al. | Watermark detection based on error probability and its applications to video watermarking | |
| Changzhen et al. | Weakness analysis of singular value based watermarking | |
| Jiang et al. | Semi-fragile watermarking algorithm for image tampers localization and recovery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181116 Termination date: 20220218 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |