CN114268845A - Real-time watermark adding method for 8K ultra-high-definition video based on heterogeneous operation - Google Patents
Real-time watermark adding method for 8K ultra-high-definition video based on heterogeneous operation Download PDFInfo
- Publication number
- CN114268845A CN114268845A CN202111570963.1A CN202111570963A CN114268845A CN 114268845 A CN114268845 A CN 114268845A CN 202111570963 A CN202111570963 A CN 202111570963A CN 114268845 A CN114268845 A CN 114268845A
- Authority
- CN
- China
- Prior art keywords
- definition video
- video frame
- ultra
- real
- high definition
- 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 31
- 238000004458 analytical method Methods 0.000 claims abstract description 25
- 230000000903 blocking effect Effects 0.000 claims abstract description 8
- 239000011159 matrix material Substances 0.000 claims description 19
- 230000000007 visual effect Effects 0.000 claims description 9
- 230000004927 fusion Effects 0.000 claims description 6
- 230000009466 transformation Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 5
- 230000000737 periodic effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- HPTJABJPZMULFH-UHFFFAOYSA-N 12-[(Cyclohexylcarbamoyl)amino]dodecanoic acid Chemical compound OC(=O)CCCCCCCCCCCNC(=O)NC1CCCCC1 HPTJABJPZMULFH-UHFFFAOYSA-N 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Editing Of Facsimile Originals (AREA)
- Image Processing (AREA)
Abstract
The invention provides a real-time watermark adding method of an 8K ultra-high definition video based on heterogeneous operation, which is characterized by comprising the following steps: s1: analyzing the just noticeable difference vision model, and carrying out the just noticeable difference vision model analysis on the obtained 8K ultra-high definition video frame to obtain an analysis result; s2: calculating an intensity template, namely generating the intensity template of the current frame according to the analysis result of the step S1; s3: GPU blocking processing, namely performing GPU parallel blocking processing based on heterogeneous operation on the intensity template and the 8K ultra-high-definition video frame; s4: and (5) embedding watermark information, namely embedding the watermark information into the 8K ultra high definition video frame by utilizing GPU parallel computation based on heterogeneous operation on the basis of the block division of the step S3. The method of the invention provides reliable guarantee for detecting the watermark and confirming the copyright, and also provides good guarantee for the video live broadcast with the copyright.
Description
Technical Field
The application relates to the field of video watermark adding, in particular to a real-time watermark adding method of an 8K ultra-high definition video based on heterogeneous operation.
Background
Live broadcast and distribution of film and television works through a network cloud platform have become a normal state, and in the face of epidemic situations, the live broadcast mode through the internet is accelerating continuously, and the trend of showing diversification is becoming more and more obvious. The openness and the shareability of the internet make the risk of illegal copying higher than that of the traditional showing mode. The digital watermark embeds the copyright information, the equipment attribute and other contents as the digital watermark into the original data collected on site through an algorithm, does not influence the use and appreciation of the works, can obtain the identifiability information stored in the watermark by an issuer through extracting the digital watermark in the copy of the works when the copy needs to be authenticated, and becomes an important technical means for the content copyright protection in the global film and television industry.
How to integrate the digital watermarking technology into the showing mode of internet live broadcasting is a technical difficulty faced at present. Especially for 8K ultra-high-definition video live broadcast, how to add watermarks in real time in the live broadcast process is an unprecedented challenge.
Disclosure of Invention
In order to solve at least one of the above technical problems, the present application provides a method for adding a watermark in real time for an 8K ultra high definition video based on heterogeneous operations.
The application provides a real-time watermark adding method of an 8K ultra-high definition video based on heterogeneous operation, which is characterized by comprising the following steps: s1: analyzing the just noticeable difference vision model, and carrying out the just noticeable difference vision model analysis on the obtained 8K ultra-high definition video frame to obtain an analysis result; s2: calculating an intensity template, namely generating the intensity template of the current frame according to the analysis result of the step S1; s3: GPU blocking processing, namely performing GPU parallel blocking processing based on heterogeneous operation on the intensity template and the 8K ultra-high-definition video frame; s4: and (5) embedding watermark information, namely embedding the watermark information into the 8K ultra high definition video frame by utilizing GPU parallel computation based on heterogeneous operation on the basis of the block division of the step S3.
Further, the just noticeable difference vision model analysis includes a brightness noticeable difference vision model analysis and a contrast noticeable difference vision model analysis.
Further, the analysis of the visual model with perceptibly poor brightness is specifically as follows: calculating a background luminance BL of a pixel p (i, j) of the 8K ultra high definition video frame according to formula (1), wherein p is a 5 × 5 window matrix (fig. 2a) centered on a current pixel of the 8K ultra high definition video frame, and B (m, n) is a 5 × 5 empirical weight matrix;
calculating the perceived difference LM (i, j) in brightness of the current pixel according to equation (2):
wherein T is0And γ are weight coefficients, respectively.
Further, the contrast perceptible difference visual model analysis specifically comprises:
sequentially selecting 4 contrast template matrixes G1, G2, G3 and G4;
calculating a contrast perceptible difference candidate ID according to formula (3), wherein p is a 5 x 5 window matrix, G, centered around a current pixel of the 8K ultra high definition video framek(m, n) is the contrast template matrix, k takes values of 1, 2, 3, 4, m and n takes values of 0,1, 2, 3, 4:
calculating a contrast perceptible difference MG (i, j) according to equation (4):
further, the intensity template calculation step specifically comprises:
and calculating a just noticeable difference JND (i, j) by using the brightness noticeable difference LM (i, j) and the contrast noticeable difference MG (i, j) according to a formula (5) and a fusion function f:
JND(i,j)＝f{LM(i,j),MG(i,j)} (5)
and combining the values of the just noticeable differences JND (i, j) of all the pixels of the 8K ultra high definition video frame into a just noticeable difference matrix to be output as a watermark intensity template.
Further, the fusion function f includes a max (), min (), or mean () function.
Further, the GPU blocking process specifically includes:
and performing GPU acceleration by adopting OPENCL, and dividing the 8K ultra-high-definition video frame and the intensity template into 4K frame blocks, or 16 2K frame blocks, or 64 1K frame blocks.
Further, the heterogeneous operation includes reconstructing the MEMCPY () function based on 128-bit registers.
Further, the step of embedding the watermark information specifically includes: distributing a corresponding number of GPU units to the frame blocks of each 8K ultra-high definition video frame to perform integer wavelet transformation of a specific layer number to obtain frequency domain information; carrying out Fourier cycle modulation on the watermark information, and then embedding the watermark information after Fourier cycle modulation into a specific frequency band coefficient of the frequency domain information according to the intensity template to obtain the frequency domain information added with the watermark information; performing wavelet inverse transformation on the frequency domain information added with the watermark information to generate a second video frame; and according to the intensity template, correcting the second video frame and outputting the video frame added with the watermark.
Further, the specific frequency band coefficient is a combination of an intermediate frequency coefficient, a low frequency coefficient or a medium and low frequency coefficient; and selecting the specific frequency band by adopting a secret key.
Further, the correction is such that the maximum variation value of a single pixel value does not exceed the corresponding intensity template value.
The invention has the beneficial technical effects that:
1. the invention adopts the periodic watermarking technology of the transform domain, can effectively eliminate the influence caused by attacks such as amplification, reduction, rotation, overturning, mirroring, transcoding, pirate video recording and the like, and provides reliable guarantee for detecting the watermark and confirming the copyright.
2. The invention provides a good guarantee for video live broadcast with copyright by adopting GPU block parallel real-time watermarking.
Drawings
Fig. 1 is a flowchart of a real-time watermarking method for 8K ultra high definition video based on heterogeneous operation according to the present invention;
fig. 2(a) is a schematic diagram of a 5 × 5 window matrix of a current pixel of the method for adding a watermark to an 8K ultra high definition video in real time based on heterogeneous operations according to the present invention;
fig. 2(b) is a 5 x 5 empirical weight matrix of the method for adding a watermark in real time for an 8K ultra high definition video based on heterogeneous operations according to the present invention;
fig. 3 is a schematic diagram of 4 contrast template matrices G1, G2, G3, G4, according to the method for adding a watermark to an 8K ultra high definition video in real time based on heterogeneous operations according to the present invention;
fig. 4 is a block diagram illustrating a real-time watermarking method for 8K ultra high definition video based on heterogeneous operation according to the present invention;
FIG. 5 is a schematic diagram of an example of integer wavelet transform of a method for adding a watermark in real time for an 8K ultra-high definition video based on heterogeneous operation according to the present invention;
fig. 6 is a schematic diagram of watermark embedding in the method for adding a watermark in real time for an 8K ultra-high definition video based on heterogeneous operation according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present invention discloses a method for adding a watermark in real time to an 8K ultra high definition video based on heterogeneous operations, including: s1: analyzing the just noticeable difference vision model, and carrying out the just noticeable difference vision model analysis on the obtained 8K ultra-high definition video frame to obtain an analysis result; s2: calculating an intensity template, namely finding out an optimal balance point of the watermark information on the visual influence of the video frame, namely the just noticeable difference, according to the analysis result of the step S1, and then generating the intensity template according to the obtained just noticeable difference; s3: GPU (graphics processing unit) block processing, namely GPU parallel block processing based on heterogeneous operation is carried out on the intensity template and the 8K ultra-high-definition video frame; s4: and (4) embedding watermark information, and embedding the watermark information into the video frame by utilizing GPU parallel computation based on heterogeneous operation on the basis of the block division of the step (S3). Wherein the just noticeable difference vision model analysis includes a luminance noticeable difference vision model analysis and a contrast noticeable difference vision model analysis.
In this embodiment, the perceived difference in brightness model for each pixel is analyzed as: calculating the background brightness BL of a pixel p (i, j) of the 8K ultra high definition video frame according to formula (1), wherein p is a 5 × 5 window matrix with the current pixel of the 8K ultra high definition video frame as the center, as shown in fig. 2 (a); as shown in fig. 2(B), B (m, n) is a 5 × 5 empirical weighting matrix, and the matrix value is an optimal value empirically selected;
next, the perceived difference LM (i, j) in brightness of the current pixel is calculated according to equation (2):
wherein T is0And γ are weight coefficients, and in this embodiment, T is 17 and r is 3/128. Without loss of generality, those skilled in the art can adjust the weighting coefficients according to actual needs, and it should be noted that the weighting coefficients can be appropriately adjusted to be larger for videos with low definition requirements.
In this embodiment, the contrast-perceptible poor visual model is analyzed as: as shown in fig. 3, 4 contrast template matrices are sequentially selected; calculating the contrast perceptible difference candidate item ID according to the formula (3)kWherein p is a 5 x 5 window matrix, G, centered on the current pixel of the 8K ultra high definition video framek(m, n) is the contrast template matrix, k takes values of 1, 2, 3, 4, m and n takes values of 0,1, 2, 3, 4:
next, a contrast perceptible difference MG (i, j) is calculated according to equation (4):
in this embodiment, the intensity template calculation step specifically includes: and calculating a just noticeable difference JND (i, j) by using the brightness noticeable difference LM (i, j) and the contrast noticeable difference MG (i, j) according to a formula (5) and a fusion function f:
JND(i,j)＝f{LM(i,j),MG(i,j)} (5)
and combining the values of the just noticeable difference JND (i, j) of all pixels of the 8K ultra high definition video frame into a just noticeable difference matrix to be output as a watermark intensity template, namely forming a watermark intensity template which is one to one size with the video frame. Without loss of generality, the fusion function f includes a max (), min () or mean () function, or other suitable functions, which can be selected by those skilled in the art according to actual needs.
And performing parallel block processing based on a GPU (graphics processing Unit) of the strength template and the 8K ultra-high-definition video frame. To ensure real-time embedding, the inventors have performed a great deal of work to increase the watermark embedding speed.
And optimizing the frequently used memory copy function. For example, a C standard library function MEMCPY () commonly used for pixel copy, although the C language quasi committee is optimized for each platform, the pixel copy of an 8K ultra high definition video frame still cannot meet the real-time requirement, we reconstruct the MEMCPY () function (a 32-bit register is used by the C language standard library function) based on 128-bit registers aiming at the combination optimization of different platform registers, that is, the heterogeneous operation here improves the efficiency by more than four times, so that the 8K ultra high definition watermark is embedded in real time possibly.
The advantages of heterogeneous operation are mainly reflected in indexes such as performance, cost performance, power consumption and area, and in a specific scene, the heterogeneous operation often shows remarkable calculation advantages. The embodiment adopts a representative heterogeneous operation framework OPENCL to perform GPU acceleration. Other heterogeneous operation frameworks, such as CUDA, may also be used by those skilled in the art. In order to realize watermark embedding in a limited time, the 8K ultra high definition video frame and the intensity template are further partitioned according to GPU performance, and without loss of generality, the 8K ultra high definition video frame and the intensity template are partitioned into 4K frame blocks, or 16 2K frame blocks, or 64 1K frame blocks as shown in fig. 4.
And finally, carrying out watermark information embedding operation. In this embodiment, a corresponding number of GPU units are allocated to each frame block of an 8K ultra high definition video frame to perform integer wavelet transform with a specific number of layers, so as to obtain frequency domain information. Here we transform using wavelet bases such as HAAR, DB2, DB6, etc., as shown in fig. 5. And then, carrying out Fourier cycle modulation on the watermark information, and then embedding the watermark information after Fourier cycle modulation into a specific frequency band coefficient of the frequency domain information according to the intensity template to obtain the frequency domain information added with the watermark information. In this embodiment, the specific band coefficient is specifically a mid-frequency coefficient, a low-frequency coefficient, or a combination of mid-and low-frequency coefficients. As shown in fig. 6, we embed the watermark "0101" in the intermediate frequency coefficient matrix LH 2. For "0" we perform Fourier periodic modulation to obtain a sine wave with period T0, and for "1" we perform Fourier periodic modulation to obtain a sine wave with period T1. In this embodiment, for the selection of the intermediate frequency coefficient, a specific sequence is selected by using a secret key for addition. Those skilled in the art can select a suitable key as needed, which is not described herein. In this embodiment, a line of intermediate frequency coefficients is directly selected as an adding carrier, and each bit of watermark information corresponds to a line of intermediate frequency coefficients.
Then, performing wavelet inverse transformation on the frequency domain information added with the watermark information to generate a second video frame; and finally, according to the intensity template, correcting the second video frame and outputting the video frame added with the watermark. Wherein, the correction is that the maximum variation value of the single pixel value does not exceed the corresponding intensity template value.
The method for adding the real-time watermark based on the 8K ultra-high definition video adopts the periodic watermark technology of the transform domain, can effectively eliminate the influence caused by various attacks, and provides reliable guarantee for detecting the watermark and confirming the copyright.
The above is a preferred embodiment of the present application, and the scope of protection of the present application is not limited by the above, so: all equivalent variations made according to the methods and principles of the present application should be covered by the protection scope of the present application.
Claims (11)
1. A real-time watermarking method of an 8K ultra-high-definition video based on heterogeneous operation is characterized by comprising the following steps:
s1: analyzing the just noticeable difference vision model, and carrying out the just noticeable difference vision model analysis on the obtained 8K ultra-high definition video frame to obtain an analysis result;
s2: calculating an intensity template, namely generating the intensity template of the current frame according to the analysis result of the step S1;
s3: GPU blocking processing, namely performing GPU parallel blocking processing based on heterogeneous operation on the intensity template and the 8K ultra-high-definition video frame;
s4: and (5) embedding watermark information, namely embedding the watermark information into the 8K ultra high definition video frame by utilizing GPU parallel computation based on heterogeneous operation on the basis of the block division of the step S3.
2. The method of claim 1, wherein the just noticeable difference visual model analysis comprises a luminance noticeable difference visual model analysis and a contrast noticeable difference visual model analysis.
3. The real-time watermarking method according to claim 2, wherein the luminance perceptible difference visual model analysis is specifically:
calculating a background luminance BL of a pixel p (i, j) of the 8K ultra high definition video frame according to formula (1), wherein p is a 5 × 5 window matrix (fig. 2a) centered on a current pixel of the 8K ultra high definition video frame, and B (m, n) is a 5 × 5 empirical weight matrix;
calculating the perceived difference LM (i, j) in brightness of the current pixel according to equation (2):
wherein T is0And γ are weight coefficients, respectively.
4. The real-time watermarking method according to claim 2, wherein the contrast-perceptible-poor visual model analysis is specifically:
sequentially selecting 4 contrast template matrixes G1, G2, G3 and G4;
calculating a contrast perceptible difference candidate ID according to formula (3), wherein p is a 5 x 5 window matrix, G, centered around a current pixel of the 8K ultra high definition video framek(m, n) is the contrast template matrix, k takes values of 1, 2, 3, 4, m and n takes values of 0,1, 2, 3, 4:
calculating a contrast perceptible difference MG (i, j) according to equation (4):
5. the real-time watermarking method according to any one of claims 1 to 4, wherein the intensity template calculation step specifically includes:
and calculating a just noticeable difference JND (i, j) by using the brightness noticeable difference LM (i, j) and the contrast noticeable difference MG (i, j) according to a formula (5) and a fusion function f:
JND(i,j)＝f{LM(i,j),MG(i,j)} (5)
and combining the values of the just noticeable differences JND (i, j) of all the pixels of the 8K ultra high definition video frame into a just noticeable difference matrix to be output as a watermark intensity template.
6. The real-time watermarking method according to claim 5,
the fusion function f comprises a max (), min () or mean () function.
7. The real-time watermarking method according to any one of claims 1 to 6, wherein the GPU blocking process is specifically:
and performing GPU acceleration by adopting OPENCL, and dividing the 8K ultra-high-definition video frame and the intensity template into 4K frame blocks, or 16 2K frame blocks, or 64 1K frame blocks.
8. A real-time watermarking method according to any of claims 1-7,
the heterogeneous operation includes reconstructing a MEMCPY () function based on 128-bit registers.
9. The real-time watermarking method according to any one of claims 1-7, wherein the step of embedding the watermark information is specifically:
distributing a corresponding number of GPU units to the frame blocks of each 8K ultra-high definition video frame to perform integer wavelet transformation of a specific layer number to obtain frequency domain information;
carrying out Fourier cycle modulation on the watermark information, and then embedding the watermark information after Fourier cycle modulation into a specific frequency band coefficient of the frequency domain information according to the intensity template to obtain the frequency domain information added with the watermark information;
performing wavelet inverse transformation on the frequency domain information added with the watermark information to generate a second video frame;
and according to the intensity template, correcting the second video frame and outputting the video frame added with the watermark.
10. The real-time watermarking method according to claim 9,
the specific frequency band coefficient is a combination of an intermediate frequency coefficient, a low frequency coefficient or a medium and low frequency coefficient;
and selecting the specific frequency band by adopting a secret key.
11. The real-time watermarking method according to claim 9,
the correction is such that the maximum variation value of a single pixel value does not exceed the corresponding intensity template value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111570963.1A CN114268845B (en) | 2021-12-21 | 2021-12-21 | Real-time watermarking method of 8K ultra-high definition video based on heterogeneous operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111570963.1A CN114268845B (en) | 2021-12-21 | 2021-12-21 | Real-time watermarking method of 8K ultra-high definition video based on heterogeneous operation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114268845A true CN114268845A (en) | 2022-04-01 |
| CN114268845B CN114268845B (en) | 2024-02-02 |
Family
ID=80828184
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111570963.1A Active CN114268845B (en) | 2021-12-21 | 2021-12-21 | Real-time watermarking method of 8K ultra-high definition video based on heterogeneous operation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114268845B (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002013138A1 (en) * | 2000-08-03 | 2002-02-14 | Digital Copyright Technologies Ag | Method for adaptive digital watermarking robust against geometric transforms |
| US20040047489A1 (en) * | 2002-09-06 | 2004-03-11 | Yong-Seok Seo | Apparatus and method for embedding and extracting a digital watermark based on a wavelet |
| US20050094845A1 (en) * | 2003-10-29 | 2005-05-05 | Lee Seon H. | Method for blindly embedding and extracting a watermark by using wavelet transform and an HVS model |
| KR20050046383A (en) * | 2003-11-14 | 2005-05-18 | 한국전자통신연구원 | Real-time video watermarking scheme using of frame average |
| CN102510492A (en) * | 2011-09-13 | 2012-06-20 | 海南大学 | Method for embedding multiple watermarks in video based on three-dimensional DWT (Discrete Wavelet Transform) and DFT (Discrete Fourier Transform) |
| CN103002355A (en) * | 2012-12-19 | 2013-03-27 | 福建师范大学 | Production method and extracting method for video watermarking with robustness |
| CN103559677A (en) * | 2013-10-29 | 2014-02-05 | 华北电力大学 | Self-adaptive image watermark embedding method based on wavelet transformation and visual characteristics |
| CN104268823A (en) * | 2014-09-18 | 2015-01-07 | 河海大学 | Digital watermark algorithm based on image content |
| CN106303756A (en) * | 2016-10-10 | 2017-01-04 | 中国农业大学 | A kind of method and device for video copyright protecting |
| CN111223034A (en) * | 2019-11-14 | 2020-06-02 | 中山大学 | High-capacity printing/shooting resistant blind watermark system and method based on deep learning |
| CN111263168A (en) * | 2020-01-03 | 2020-06-09 | 中央宣传部电影技术质量检测所 | Method and system for adding and extracting anti-attack video watermark of data array |
| CN112070650A (en) * | 2020-09-15 | 2020-12-11 | 中国科学院信息工程研究所 | Watermark embedding and detecting method for panoramic image |
| CN113706359A (en) * | 2021-08-04 | 2021-11-26 | 武汉理工大学 | Thangka digital watermarking method based on visual perception model |
-
2021
- 2021-12-21 CN CN202111570963.1A patent/CN114268845B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002013138A1 (en) * | 2000-08-03 | 2002-02-14 | Digital Copyright Technologies Ag | Method for adaptive digital watermarking robust against geometric transforms |
| US20040047489A1 (en) * | 2002-09-06 | 2004-03-11 | Yong-Seok Seo | Apparatus and method for embedding and extracting a digital watermark based on a wavelet |
| US20050094845A1 (en) * | 2003-10-29 | 2005-05-05 | Lee Seon H. | Method for blindly embedding and extracting a watermark by using wavelet transform and an HVS model |
| KR20050046383A (en) * | 2003-11-14 | 2005-05-18 | 한국전자통신연구원 | Real-time video watermarking scheme using of frame average |
| CN102510492A (en) * | 2011-09-13 | 2012-06-20 | 海南大学 | Method for embedding multiple watermarks in video based on three-dimensional DWT (Discrete Wavelet Transform) and DFT (Discrete Fourier Transform) |
| CN103002355A (en) * | 2012-12-19 | 2013-03-27 | 福建师范大学 | Production method and extracting method for video watermarking with robustness |
| CN103559677A (en) * | 2013-10-29 | 2014-02-05 | 华北电力大学 | Self-adaptive image watermark embedding method based on wavelet transformation and visual characteristics |
| CN104268823A (en) * | 2014-09-18 | 2015-01-07 | 河海大学 | Digital watermark algorithm based on image content |
| CN106303756A (en) * | 2016-10-10 | 2017-01-04 | 中国农业大学 | A kind of method and device for video copyright protecting |
| CN111223034A (en) * | 2019-11-14 | 2020-06-02 | 中山大学 | High-capacity printing/shooting resistant blind watermark system and method based on deep learning |
| CN111263168A (en) * | 2020-01-03 | 2020-06-09 | 中央宣传部电影技术质量检测所 | Method and system for adding and extracting anti-attack video watermark of data array |
| CN112070650A (en) * | 2020-09-15 | 2020-12-11 | 中国科学院信息工程研究所 | Watermark embedding and detecting method for panoramic image |
| CN113706359A (en) * | 2021-08-04 | 2021-11-26 | 武汉理工大学 | Thangka digital watermarking method based on visual perception model |
Non-Patent Citations (3)
| Title |
|---|
| DANDI CHEN ET AL.: "A JND-based saliency map fusion method for digital video watermarking", 《2015 34TH CHINESE CONTROL CONFERENCE》 * |
| 元家昕 马允胜: "基于人眼JND门限的多分辨率水印嵌入算法", 计算机工程与应用 * |
| 李淑芝，龙香玉，邓小鸿，周永新: "结合纹理复杂度和JND模型的图像水印算法", 《计算机应用研究》, vol. 36, no. 02 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114268845B (en) | 2024-02-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wu et al. | A steganographic method for images by pixel-value differencing | |
| Liu et al. | Generic lossless visible watermarking—a new approach | |
| Celik et al. | Lossless watermarking for image authentication: a new framework and an implementation | |
| EP3308371B1 (en) | System and method for digital watermarking | |
| CN110232650B (en) | Color image watermark embedding method, detection method and system | |
| Meng et al. | An adaptive reversible watermarking in IWT domain | |
| Peng et al. | Reversible data hiding based on RSBEMD coding and adaptive multi-segment left and right histogram shifting | |
| JP2009514305A (en) | How to embed data in an information signal | |
| CN104766269A (en) | Spread transform dither modulation watermarking method based on JND brightness model | |
| US10958926B2 (en) | Digitally watermarked compressed video image sequences | |
| Xu et al. | A compact neural network-based algorithm for robust image watermarking | |
| CN113179407B (en) | Video watermark embedding and extracting method and system based on interframe DCT coefficient correlation | |
| Hsiao et al. | Simple and robust watermarking scheme based on square-root-modulus technique | |
| CN114268845B (en) | Real-time watermarking method of 8K ultra-high definition video based on heterogeneous operation | |
| CN109493270B (en) | Watermark image restoration method based on SLT-DM | |
| Dhaou et al. | An efficient anaglyph 3d video watermarking approach based on hybrid insertion | |
| CN115272039A (en) | Watermark attack method and system based on GAN and digital watermark embedding method | |
| Rana et al. | View invariant DIBR-3D image watermarking using DT-CWT | |
| CN103379325A (en) | Video geographical data digital watermarking method with copyright protection service orientation | |
| Moon | Forensic multi-dimensional Ary exploited modified direction data embedding approach to increase imperceptibility and robustness of secured data | |
| Schlauweg et al. | Dual watermarking for protection of rightful ownership and secure image authentication | |
| Ben Jabra et al. | Deep Learning-Based Watermarking Techniques Challenges: A Review of Current and Future Trends | |
| Tang et al. | Improved spread transform dither modulation using luminance-based JND model | |
| Tarmissi et al. | A Robust Image Watermarking Technique Using Multi-DW-DCT Scheme | |
| Veličković et al. | The Insertion of the Encrypted Low-Resolution Watermark in the Uncompressed Video |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | 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 |