CN107330843B - Gray level image coding hiding method and device and decoding method and device - Google Patents
Gray level image coding hiding method and device and decoding method and device Download PDFInfo
- Publication number
- CN107330843B CN107330843B CN201710451885.0A CN201710451885A CN107330843B CN 107330843 B CN107330843 B CN 107330843B CN 201710451885 A CN201710451885 A CN 201710451885A CN 107330843 B CN107330843 B CN 107330843B
- Authority
- CN
- China
- Prior art keywords
- binary
- bch
- image
- jpeg
- coding
- 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
Images
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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
- G06T9/007—Transform coding, e.g. discrete cosine transform
Abstract
The invention belongs to the technical field of digital image hiding, and particularly relates to a gray image coding hiding method and device and a decoding method and device. Firstly, a sending end carries out JPEG coding on a gray level image; performing BCH coding on the basis of JPEG coding; and hiding the binary image data string obtained by JPEG coding and BCH coding in the binary hologram and transmitting the binary image data string to a receiving end. And the receiving end recovers the gray level image hidden in the binary hologram by adopting a BCH decoding and JPEG decoding method corresponding to the transmitting end, and finally recovers a clearer original gray level image. Due to the adoption of the method combining JPEG encoding and BCH encoding and the method combining JPEG decoding and BCH decoding, the gray level image is not easily interfered by noise in the processes of binary system hologram carrier processing, hiding and transmission, and the quality of the recovered image is greatly improved.
Description
Technical Field
The invention belongs to the technical field of digital image hiding, and particularly relates to a gray image coding hiding method and device and a decoding method and device.
Background
In the current big data era, massive information is generated, transmitted and processed every day, and information safety is a crucial issue. The information hiding technology can protect the electronic information in the transmission and storage processes and prevent the electronic information from being leaked to illegal users.
The digital hologram can be used as a proper information hiding carrier because the digital hologram has the advantages that information hiding is not easy to find, and the like. In a binary digital hologram (binary hologram), a gray level image is hidden, and because a data format is inconsistent, a hidden gray level image needs to be compressed and encoded, and the existing methods include error diffusion (error diffusion), block truncation coding (block truncation coding) and the like.
However, after the original grayscale image is compressed and hidden by the above method, the restored image is often susceptible to serious interference of noise, which results in significant degradation of image quality, and the lossy image compression method itself causes a large amount of information in the original image to be lost and unable to be restored.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a gray image coding hiding method and apparatus, a decoding method and apparatus, and aims to solve the problem that after the existing gray image is compressed, hidden and restored, the obtained image is easily interfered by noise seriously, which results in poor image quality.
To solve the above technical problem, the present invention is implemented as follows, and provides a gray scale image coding hiding method, including:
the method comprises the steps that a transmitting end encodes a gray level image by a JPEG encoding method to obtain a JPEG encoded data string, and decimal data of the JPEG encoded data string are converted into binary data;
the transmitting end divides the binary data of the JPEG coded data string into a plurality of binary data small pieces, respectively carries out BCH coding on the plurality of binary data small pieces, and sequentially combines the binary data small pieces after BCH coding to generate a binary gray scale image data string;
the sending end generates a replacement rule according to a random numerical value input by a user, and replaces a binary pixel value at a corresponding position in a preset binary hologram with each bit data in the binary gray scale image data string according to the replacement rule to obtain the binary hologram with a hidden gray scale image;
and the sending end sends the binary hologram with the hidden gray level image to a receiving end.
Further, the encoding, by the sending end, the grayscale image by using a JPEG encoding method to obtain a JPEG encoded data string includes:
the sending end divides the gray-scale image into a plurality of image small blocks with 8 x 8 pixels;
respectively carrying out discrete cosine transform on the pixel values of 8 x 8 of the image small blocks to obtain discrete cosine transform pixel values;
respectively carrying out non-uniform quantization processing on discrete cosine transform pixel values of a plurality of image small blocks to obtain the discrete cosine transform pixel values after the non-uniform quantization processing;
and respectively carrying out lossless entropy coding on a plurality of discrete cosine transform pixel values subjected to non-uniform quantization processing to obtain a plurality of lossless entropy coding sub-data strings, and then combining the sub-data strings according to the segmentation sequence of the image small blocks to form a JPEG coded data string.
Further, the transmitting end dividing the binary data of the JPEG encoded data string into a plurality of binary data pieces includes:
determining the error correction capability of the BCH code according to the preset noise intensity, and calculating the total information bit length of the BCH code by using the error correction capability of the BCH code;
and sequentially dividing the binary data of the JPEG encoded data string into a plurality of binary data small pieces from front to back by taking the total information bit length of the BCH code as a dividing unit.
The invention also provides a gray level image decoding method, which comprises the following steps:
a receiving end receives a binary hologram of a hidden gray level image sent by a sending end;
the receiving end generates a replacement rule according to a random numerical value input by a user, and extracts the binary gray scale image data string in the binary hologram according to the replacement rule;
the receiving end divides the extracted binary gray scale image data string into a plurality of binary data small pieces, and respectively carries out BCH decoding on the plurality of binary data small pieces to obtain a JPEG encoded data string;
and the receiving end converts the binary data of the JPEG encoded data string into decimal data, and decodes the decimal data of the JPEG encoded data string by utilizing a JPEG decoding method to obtain a hidden gray image.
Further, the dividing the extracted binary gray scale image data string into a plurality of binary data patches by the receiving end includes:
determining the total information bit length of BCH decoding by using the total information bit length of BCH coding obtained when a transmitting end carries out BCH coding; and sequentially dividing the binary gray scale image data string into a plurality of binary data small pieces from front to back by taking the total information bit length of the BCH decoding as a division unit.
Further, the decoding the decimal data of the JPEG encoded data string by using the JPEG decoding method to obtain the hidden gray image includes:
sequentially dividing the JPEG encoded data string according to the JPEG data string size corresponding to the 8-by-8-pixel image small blocks one by one, and respectively performing lossless entropy decoding on the obtained plurality of lossless entropy encoded sub-data strings to obtain a plurality of 8-by-8-pixel image small blocks corresponding to the discrete cosine transformed non-uniform quantized pixel value arrays;
respectively carrying out non-uniform inverse quantization processing on a plurality of non-uniform quantized pixel value arrays of the discrete cosine transform to obtain a plurality of discrete cosine transform pixel value arrays subjected to non-uniform inverse quantization processing;
respectively carrying out inverse discrete cosine transform on a plurality of discrete cosine transform pixel value arrays subjected to non-uniform inverse quantization processing to obtain a plurality of 8-by-8 pixel image small blocks;
and combining the plurality of image small blocks of 8-by-8 pixels to restore the hidden gray-scale image.
The invention also provides a gray scale image coding hiding device, which comprises:
the JPEG coding module is used for coding the gray level image by using a JPEG coding method to obtain a JPEG coded data string and converting decimal data of the JPEG coded data string into binary data;
the BCH coding module is used for dividing the binary data of the JPEG coded data string into a plurality of binary data small pieces, respectively carrying out BCH coding on the plurality of binary data small pieces, and sequentially combining the plurality of binary data small pieces after the BCH coding to generate a binary gray level image data string;
the hiding module is used for generating a replacement rule according to a random numerical value input by a user, and replacing a binary pixel value at a corresponding position in a preset binary hologram with each bit data in the binary gray scale image data string according to the replacement rule to obtain the binary hologram with a hidden gray scale image;
and the sending module is used for sending the binary hologram hiding the gray level image to a receiving end.
Further, the BCH encoding module includes:
the code division rule generating module is used for determining the error correction capability of the BCH code according to the preset noise intensity and calculating the total information bit length of the BCH code by utilizing the error correction capability of the BCH code;
the binary data chip coding and dividing module is used for sequentially dividing the binary data of the JPEG coded data string into a plurality of binary data chips from front to back by taking the total information bit length of the BCH code as a dividing unit;
and the binary gray scale image data string generation module is used for respectively carrying out BCH coding on the plurality of binary data small pieces and sequentially combining the plurality of binary data small pieces after BCH coding to generate a binary gray scale image data string.
The present invention also provides a grayscale image decoding apparatus, the apparatus including:
the receiving module is used for receiving the binary hologram of the hidden gray level image sent by the sending end;
the hidden image extraction module is used for generating a replacement rule according to a random numerical value input by a user and extracting a binary gray level image data string in the binary hologram according to the replacement rule;
the BCH decoding module is used for dividing the extracted binary gray scale image data string into a plurality of binary data small pieces and respectively carrying out BCH decoding on the plurality of binary data small pieces to obtain a JPEG encoded data string;
and the JPEG decoding module is used for converting the binary data of the JPEG coded data string into decimal data and decoding the decimal data of the JPEG coded data string by using a JPEG decoding method to obtain a hidden gray image.
Further, the BCH decoding module includes:
a decoding and dividing rule generating module, configured to determine a total information bit length of BCH decoding by using the total information bit length of BCH encoding obtained when the transmitting end performs BCH encoding; a binary data chip decoding and dividing module, configured to sequentially divide the binary grayscale image data string into a plurality of binary data chips in a front-to-back order by using the total information bit length of the BCH decoding as a division unit;
and the JPEG coded data string generating module is used for respectively carrying out BCH decoding on the plurality of binary data small pieces to obtain the JPEG coded data string.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a gray image coding hiding method and device, firstly, Joint Photographic Experts Group (JPEG) coding is carried out on a gray image; performing BCH (Bose, Ray-Chaudhuri and Hocquenghem) coding on the basis of JPEG (joint photographic experts group) coding; and hiding the image obtained by JPEG coding and BCH coding in the binary hologram and transmitting the image to a receiving end. The gray image decoding method and the device provided by the invention have the advantages that the receiving end adopts BCH decoding and JPEG decoding methods corresponding to the transmitting end to restore the gray image hidden in the binary hologram, and finally, the clear original gray image is restored. Due to the adoption of the method combining JPEG coding and BCH coding and the method combining JPEG decoding and BCH decoding, the image to be hidden is not easily interfered by noise in the processes of binary hologram carrier processing, hiding and transmission, and the quality of the recovered image is greatly improved.
Drawings
Fig. 1 is a flowchart of a gray scale image coding and hiding method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a gray scale image coding hiding method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a gray scale image coding hiding method according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for decoding a gray scale image according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for decoding a gray scale image according to an embodiment of the present invention;
FIG. 6 is a flowchart of a method for decoding a gray scale image according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a gray scale image coding and hiding apparatus according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a JPEG encoding module of a gray scale image encoding hiding apparatus according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a BCH coding module of a gray scale image coding and hiding apparatus according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of a grayscale image decoding apparatus according to an embodiment of the present invention;
FIG. 11 is a block diagram of a BCH decoding module of a grayscale image decoding apparatus according to an embodiment of the present invention;
FIG. 12 is a schematic diagram of a JPEG decoding module of the gray scale image decoding apparatus according to the embodiment of the present invention;
fig. 13 is a schematic diagram of a gray scale image hiding method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As a first embodiment of the present invention, as shown in fig. 1, the present invention provides a gray scale image coding hiding method, including:
step S101: the transmitting end encodes the gray level image by using a JPEG encoding method to obtain a JPEG encoded data string, and converts decimal data of the JPEG encoded data string into binary data.
Step S102: the transmitting end divides the binary data of the JPEG coded data string into a plurality of binary data small pieces, respectively carries out BCH coding on the plurality of binary data small pieces, and sequentially combines the plurality of binary data small pieces after BCH coding to generate a binary gray scale image data string.
Step S103: and the sending end generates a replacement rule according to a random numerical value input by a user, and replaces the binary pixel value at the corresponding position in the preset binary hologram by each bit data in the binary gray scale image data string according to the replacement rule to obtain the binary hologram with the hidden gray scale image.
Step S104: and the transmitting end transmits the binary hologram with the hidden gray level image to the receiving end.
In summary, in the gray scale image coding and hiding method provided in the first embodiment of the present invention, a method combining JPEG coding and BCH coding is used to perform coding processing on an image to be hidden, the image after the coding processing is hidden in a binary hologram, and a transmitting end transmits the binary hologram in which the gray scale image is hidden to a receiving end. The JPEG coding can greatly reduce the size of an image file under the condition of ensuring the quality of a static image, the BCH coding has very strong capability of resisting various noise interferences and error correction, and the JPEG coding and the BCH coding are combined to reduce the data volume of a hidden image and enhance the anti-noise capability, so that the gray image is not easily interfered by noise in the processes of processing, hiding and transmitting a binary hologram carrier, and the quality of a recovered image is greatly improved.
As a second embodiment of the present invention, as shown in fig. 1 to 3, the present invention provides a gray scale image coding hiding method, including:
step S101: the transmitting end encodes the gray level image by using a JPEG encoding method to obtain a JPEG encoded data string, and converts decimal data of the JPEG encoded data string into binary data.
As shown in fig. 2, step S101 includes the steps of:
step S101-1: the sending end divides the gray-scale image into a plurality of image small blocks with 8 x 8 pixels.
Step S101-2: and respectively carrying out discrete cosine transform on the pixel values of 8 x 8 of the plurality of image small blocks to obtain discrete cosine transform pixel values.
Step S101-3: and respectively carrying out non-uniform quantization processing on the discrete cosine transform pixel values of the plurality of image small blocks to obtain the discrete cosine transform pixel values after the non-uniform quantization processing.
Step S101-4: and respectively carrying out lossless entropy coding on the discrete cosine transform pixel values subjected to the non-uniform quantization processing to obtain a plurality of lossless entropy coding sub-data strings, and then combining the lossless entropy coding sub-data strings according to the segmentation sequence of the image small blocks to form a JPEG coded data string.
Step S101-5: the decimal data of the JPEG encoded data string is converted into binary data.
Step S102: the transmitting end divides the binary data of the JPEG coded data string into a plurality of binary data small pieces, respectively carries out BCH coding on the plurality of binary data small pieces, and sequentially combines the plurality of binary data small pieces after BCH coding to generate a binary gray scale image data string.
As shown in fig. 3, step S102 includes the steps of:
step S102-1: and determining the error correction capability of the BCH code according to the preset noise intensity, and calculating the total information bit length of the BCH code by using the error correction capability of the BCH code. It should be noted that the preset noise strength is generally the maximum noise possible in the prediction transmission process, and the strength of the predicted maximum noise is set as the preset noise strength, so that the error correction capability must be able to correct all errors caused by the influence of noise, and thus, the hidden image can be ensured to be recovered.
In the present embodiment, the formula n is 2mDetermining error correction capability t of BCH coding by-1 (m is more than or equal to 3, m belongs to Z) and formula n-k is more than or equal to m (t is less than m/2), and determining the error correction capability t of BCH codingAnd calculating according to the error correction capability t of the BCH code to obtain an information bit length k, and calculating according to the information bit length k to obtain the total information length n of the BCH code, wherein m is a non-zero positive integer determined according to the practical application condition, and Z represents a non-zero positive integer set. It should be noted that after the total information length n of the BCH code is determined, the sending user can manually input n into the system, so as to continue the operation of step S102-2. The user at the transmitting end needs to inform the user at the receiving end of the total information length n of the BCH code, so as to ensure that the receiving end can perform corresponding operations with the total information length n of the same unit.
Step S102-2: and sequentially dividing the binary data of the JPEG encoded data string into a plurality of binary data small pieces from front to back by taking the total information bit length of the BCH encoding as a dividing unit.
Step S102-3: and respectively carrying out BCH coding on the plurality of binary data small pieces, and sequentially combining the plurality of binary data small pieces after BCH coding to generate a binary gray scale image data string.
Step S103: and the sending end generates a replacement rule according to a random numerical value input by a user, and replaces the binary pixel value at the corresponding position in the preset binary hologram by each bit data in the binary gray scale image data string according to the replacement rule to obtain the binary hologram with the hidden gray scale image. In this embodiment, the sending end has a generator for randomly generating a sequence, and after a user inputs an arbitrary random value, the generator for randomly generating a sequence automatically generates a replacement rule according to the random value.
Step S104: and the transmitting end transmits the binary hologram hiding the binary gray level image to the receiving end. It should be noted that the user at the transmitting end needs to inform the user at the receiving end of the random number value input by the user at the transmitting end, so that the user at the receiving end can input the same random number value at the receiving end, and the receiving end can extract the hidden image by adopting the operation corresponding to the transmitting end.
In summary, in the gray scale image coding and hiding method provided in the second embodiment of the present invention, a method combining JPEG coding and BCH coding is used to perform coding processing on an image to be hidden, the coded image is hidden in a binary hologram, and a transmitting end transmits the binary hologram in which the gray scale image is hidden to a receiving end. The JPEG coding can greatly reduce the size of an image file under the condition of ensuring the quality of a static image, the BCH coding has very strong capability of resisting various noise interferences and error correction, and the JPEG coding and the BCH coding are combined to reduce the data volume of a hidden image and enhance the anti-noise capability, so that the gray image is not easily interfered by noise in the processes of processing, hiding and transmitting a binary hologram carrier, and the quality of a recovered image is greatly improved. In a holographic video system, the hidden image can be used as a digital watermark for protecting the copyright of the hologram and identifying the authenticity; in the fields of military affairs, secret communication and the like, the method provided by the invention uses the binary digital hologram as a carrier, and secretly transmits the image information, so that the image transmission is safer; meanwhile, on the basis of the invention, more additional information or functions are added into the binary digital hologram, so that the purpose of increasing the information transmission bandwidth and efficiency can be achieved.
As a third embodiment of the present invention, as shown in fig. 4, the present invention provides a grayscale image decoding method including:
step S201: and the receiving end receives the binary hologram of the hidden gray level image sent by the sending end.
Step S202: and the receiving end generates a replacement rule according to the random numerical value input by the user, and extracts the binary gray scale image data string in the binary hologram according to the replacement rule.
Step S203: and the receiving end divides the extracted binary gray scale image data string into a plurality of binary data small pieces, and respectively carries out BCH decoding on the plurality of binary data small pieces to obtain a JPEG encoded data string.
Step S204: and the receiving end converts the binary data of the JPEG encoded data string into decimal data, and decodes the decimal data of the JPEG encoded data string by using a JPEG decoding method to obtain a hidden gray image.
In summary, in the grayscale image decoding method provided by the third embodiment of the present invention, the receiving end extracts the binary grayscale image data string hidden in the binary hologram according to the random value input by the user, and decodes the hidden image by using a method combining JPEG decoding and BCH decoding, so as to recover the hidden grayscale image. The JPEG coding and decoding method can greatly reduce the size of the image file under the condition of ensuring the quality of the static image, the BCH coding and decoding method has very strong capability of resisting various noise interferences and error correction, and the data volume of the hidden image can be reduced and the anti-noise capability can be enhanced by combining the JPEG coding and decoding method and the BCH coding and decoding method, so that the hidden image is not easily interfered by noise in the processes of processing, hiding and transmitting the binary hologram carrier, and the quality of the recovered image is greatly improved.
As a fourth embodiment of the present invention, as shown in fig. 4 to 6, the present invention provides a grayscale image decoding method including:
step S201: and the receiving end receives the binary hologram of the hidden gray level image sent by the sending end.
Step S202: and the receiving end generates a replacement rule according to the random numerical value input by the user, and extracts the binary gray scale image data string in the binary hologram according to the replacement rule. It should be noted that in this step, the random value input by the user is consistent with the random value input by the user at the sending end when the code is hidden, and then the replacement rule corresponding to the sending end can be generated, so as to achieve the purpose of correctly extracting the binary gray image data string. In this embodiment, the receiving end has a generator for randomly generating a sequence, and after the user inputs a random number value consistent with the sending end, the generator for randomly generating a sequence automatically generates a replacement rule according to the random number value.
Step S203: and the receiving end divides the extracted binary gray scale image data string into a plurality of binary data small pieces, and respectively carries out BCH decoding on the plurality of binary data small pieces to obtain a JPEG encoded data string.
As shown in fig. 5, step S203 includes the steps of:
step S203-1: and determining the total information bit length of the BCH decoding by using the total information bit length of the BCH coding obtained when the transmitting end carries out the BCH coding.
In this embodiment, the total information bit length of the BCH encoding is equal to the total information bit length of the BCH decoding, and a user at the receiving end needs to know the total information bit length of the BCH encoding at the transmitting end, and then inputs the total information bit length of the BCH encoding in the system through a manual input method.
Step S203-2: and sequentially dividing the binary gray scale image data string into a plurality of binary data small pieces from front to back by taking the total information bit length of the BCH decoding as a division unit.
Step S203-3: and respectively carrying out BCH decoding on the plurality of binary data small pieces to obtain JPEG encoded data strings.
Step S204: and the receiving end converts the binary data of the JPEG encoded data string into decimal data, and decodes the decimal data of the JPEG encoded data string by using a JPEG decoding method to obtain a hidden gray image.
As shown in fig. 6, step S204 includes the steps of:
step S204-1: binary data of the JPEG encoded data string is converted into decimal data.
Step S204-2: and sequentially dividing decimal data of the JPEG encoded data string according to the size of the JPEG data string corresponding to the 8-by-8-pixel image small blocks one by one, and respectively carrying out lossless entropy decoding on the obtained plurality of lossless entropy encoded sub-data strings to obtain a plurality of 8-by-8-pixel image small blocks corresponding to the discrete cosine transformed non-uniform quantized pixel value arrays.
In step S204-2, the rule of division is not fixed, and when it is detected that the JPEG data string corresponding to the 8 × 8 pixel image patch reaches the end bit, the division is performed. And when detecting that the JPEG data string corresponding to the 8-by-8-pixel image small block reaches the end bit, performing segmentation once, namely sequentially segmenting according to the sizes of the JPEG data strings corresponding to the 8-by-8-pixel image small blocks.
Step S204-3: and respectively carrying out non-uniform inverse quantization processing on the non-uniform quantized pixel value arrays of the discrete cosine transform to obtain a plurality of discrete cosine transform pixel value arrays subjected to the non-uniform inverse quantization processing.
Step S204-4: and respectively carrying out inverse discrete cosine transform on the discrete cosine transform pixel value arrays subjected to the non-uniform inverse quantization processing to obtain a plurality of 8-by-8 pixel image small blocks.
Step S204-5: and combining a plurality of image small blocks of 8-by-8 pixels to restore the hidden gray-scale image.
In summary, in the gray scale image decoding method provided in the fourth embodiment of the present invention, the receiving end extracts the binary gray scale image data string hidden in the binary hologram according to the random value input by the user, and decodes the hidden binary gray scale image data string by using a method combining JPEG decoding and BCH decoding, so as to recover the hidden gray scale image. The JPEG coding and decoding method can greatly reduce the size of the image file under the condition of ensuring the quality of the static image, the BCH coding and decoding method has very strong capability of resisting various noise interferences and error correction, and the two methods are combined, so that the data volume of the hidden image can be reduced, the anti-noise capability can be enhanced, the hidden image is not easily interfered by noise in the processes of processing, hiding and transmitting the binary hologram carrier, the quality of the recovered image is greatly improved, and the safe and high-quality image hiding application is favorably realized.
As a fifth embodiment of the present invention, as shown in fig. 7, the present invention provides a gradation image coding hiding device comprising:
a JPEG encoding module 101, configured to encode the grayscale image by using a JPEG encoding method to obtain a JPEG encoded data string, where a data string of the JPEG encoded data string is in a decimal data format; the decimal data of the JPEG encoded data string is converted into binary data.
The BCH encoding module 102 is configured to divide the binary data of the JPEG encoded data string into a plurality of binary data patches, perform BCH encoding on the plurality of binary data patches, and sequentially combine the plurality of binary data patches after BCH encoding to generate a binary grayscale image data string.
And the hiding module 103 is configured to generate a replacement rule according to a random numerical value input by a user, and replace a binary pixel value at a corresponding position in a preset binary hologram with each bit data in the binary grayscale image data string according to the replacement rule, so as to obtain the binary hologram with a hidden grayscale image.
And a sending module 104, configured to send the binary hologram with the hidden gray scale image to a receiving end.
Further, as shown in fig. 8, the JPEG encoding module 101 includes:
image patch segmentation module 101-1: the sending end divides the gray-scale image into a plurality of image small blocks with 8 x 8 pixels.
Discrete cosine transform module 101-2: and respectively carrying out discrete cosine transform on the pixel values of 8 x 8 of the plurality of image small blocks to obtain discrete cosine transform pixel values.
The non-uniform quantization processing module 101-3: and respectively carrying out non-uniform quantization processing on the discrete cosine transform pixel values of the plurality of image small blocks to obtain the discrete cosine transform pixel values after the non-uniform quantization processing.
Lossless entropy coding module 101-4: and respectively carrying out lossless entropy coding on the discrete cosine transform pixel values subjected to the non-uniform quantization processing to obtain a plurality of lossless entropy coding sub-data strings, and then combining the lossless entropy coding sub-data strings according to the segmentation sequence of the image small blocks to form a JPEG coded data string.
Decimal conversion binary module 101-5: the decimal data of the JPEG encoded data string is converted into binary data.
Further, as shown in fig. 9, the BCH encoding module 102 includes:
and the code division rule generating module 102-1 is configured to determine an error correction capability of the BCH code according to the preset noise intensity, and calculate a total information bit length of the BCH code by using the error correction capability of the BCH code. It should be noted that the preset noise strength is generally the maximum noise that may be predicted during transmission, and the strength of the predicted maximum noise is set as the preset noise strength, so that the error correction capability must be able to correct all errors caused by noise influence, and thus, it is ensured that the hidden gray-scale image can be recovered.
In the present embodiment, the formula n is 2mDetermining error correction capability t of the BCH code by-1 (m is more than or equal to 3, m belongs to Z) and a formula n-k is more than or equal to m (t is less than m/2), calculating according to the error correction capability t of the BCH code to obtain an information bit length k, and calculating according to the information bit length k to obtain a total information length n of the BCH code, wherein m is a nonzero positive integer determined according to practical application conditions, and Z represents a nonzero positive integer set. The user at the transmitting end needs to inform the user at the receiving end of the total information length n of the BCH code, so as to ensure that the receiving end performs an operation corresponding to the transmitting end by using the same total information length n as a unit.
The binary data chip coding and dividing module 102-2 is configured to divide the binary data of the JPEG encoded data string into a plurality of binary data chips in sequence from front to back by using the total information bit length of the BCH coding as a dividing unit.
A binary grayscale image data string generating module 102-3, configured to perform BCH encoding on the multiple binary data patches respectively, and combine the multiple binary data patches after BCH encoding in sequence to generate a binary grayscale image data string.
In summary, in the gray scale image encoding and hiding device provided in the fifth embodiment of the present invention, an image to be hidden is encoded by using a method combining JPEG encoding and BCH encoding, the encoded image is hidden in a binary hologram, and a transmitting end transmits the binary hologram in which the gray scale image is hidden to a receiving end. The JPEG coding module can greatly reduce the size of an image file under the condition of ensuring the quality of a static image, the BCH coding module has very strong capability of resisting various noise interferences and error correction, and the JPEG coding module and the BCH coding module are combined, so that the data volume of a hidden image can be reduced, the anti-noise capability can be enhanced, finally, a gray image is not easily interfered by noise in the processes of processing, hiding and transmitting a binary hologram carrier, and the quality of a recovered gray image is greatly improved.
As a sixth embodiment of the present invention, as shown in fig. 10, the present invention provides a gradation image decoding apparatus comprising:
the receiving module 201 is configured to receive the binary hologram of the hidden gray scale image sent by the sending end.
And the hidden image extraction module 202 is configured to generate a replacement rule according to a random numerical value input by a user, and extract a binary grayscale image data string in the binary hologram according to the replacement rule. It should be noted that in this step, the random value input by the user is consistent with the random value input by the user at the sending end when the code is hidden, and then the replacement rule corresponding to the sending end can be generated, so as to achieve the purpose of correctly extracting the binary gray image data string. In this embodiment, the receiving end has a generator for randomly generating a sequence, and after the user inputs a random number value consistent with the sending end, the generator for randomly generating a sequence automatically generates a replacement rule according to the random number value.
A BCH decoding module 203, configured to divide the extracted binary grayscale image data string into a plurality of binary data patches, and perform BCH decoding on the plurality of binary data patches respectively to obtain a JPEG encoded data string. At this time, the data string of the JPEG encoded data string is in a binary data format.
And the JPEG decoding module 204 is used for converting the binary data of the JPEG encoded data string into decimal data and decoding the decimal data of the JPEG encoded data string by using a JPEG decoding method to obtain a hidden gray image.
Further, as shown in fig. 11, the BCH decoding module 203 includes:
and a decoding and partitioning rule generating module 203-1, configured to determine the total information bit length of the BCH decoding by using the total information bit length of the BCH encoding obtained when the transmitting end performs the BCH encoding. In this embodiment, the total information bit length of the BCH encoding is equal to the total information bit length of the BCH decoding, and a user at the receiving end needs to know the total information bit length of the BCH encoding at the transmitting end, and then inputs the total information bit length of the BCH encoding in the system through a manual input method.
The binary data chip decoding and dividing module 203-2 is used for sequentially dividing the binary gray scale image data string into a plurality of binary data chips from front to back by taking the total information bit length of the BCH decoding as a dividing unit.
And the JPEG coded data string generating module 203-3 is used for respectively carrying out BCH decoding on the plurality of binary data patches to obtain the JPEG coded data string.
Further, as shown in fig. 12, the JPEG decoding module 204 includes:
binary converted decimal module 204-1: for converting binary data of a JPEG encoded data string into decimal data.
Lossless entropy decoding module 204-2: the method is used for sequentially dividing decimal data of a JPEG encoded data string according to the size of the JPEG data string corresponding to 8-by-8-pixel image small blocks one by one, and respectively carrying out lossless entropy decoding on the obtained plurality of lossless entropy encoded sub-data strings to obtain a plurality of 8-by-8-pixel image small blocks corresponding to discrete cosine transformed non-uniform quantized pixel value arrays.
When the lossless entropy decoding module 204-2 divides the JPEG encoded data string, the division rule is not fixed, and when it is detected that the JPEG data string corresponding to the 8 × 8 pixel image patch reaches the end bit, the division is performed. And when detecting that the JPEG data string corresponding to the 8-by-8-pixel image small block reaches the end bit, performing segmentation once, namely sequentially segmenting according to the sizes of the JPEG data strings corresponding to the 8-by-8-pixel image small blocks.
The non-uniform inverse quantization processing module 204-3: the non-uniform inverse quantization processing module is used for respectively carrying out non-uniform inverse quantization processing on the non-uniform quantization pixel value arrays of the discrete cosine transforms so as to obtain a plurality of discrete cosine transform pixel value arrays after the non-uniform inverse quantization processing.
Inverse discrete cosine transform module 204-4: and the inverse discrete cosine transform processing module is used for respectively carrying out inverse discrete cosine transform on the discrete cosine transform pixel value arrays subjected to the non-uniform inverse quantization processing to obtain a plurality of image small blocks with 8-by-8 pixels.
Image small-module combination module 204-5: for combining several 8 x 8 pixel image patches to recover a hidden gray scale image.
In summary, in the grayscale image decoding apparatus according to the sixth embodiment of the present invention, the receiving end extracts the binary grayscale image data string hidden in the binary hologram according to the random value input by the user, and uses the JPEG decoding module and the BCH decoding module to combine to decode the hidden image, so as to recover the hidden grayscale image. The JPEG coding and decoding method can greatly reduce the size of the image file under the condition of ensuring the quality of the static image, the BCH coding and decoding method has very strong capability of resisting various noise interferences and error correction, and the two methods are combined, so that the data volume of the hidden image can be reduced, the anti-noise capability can be enhanced, the hidden image is not easily interfered by noise in the processes of processing, hiding and transmitting the binary hologram carrier, the quality of the recovered image is greatly improved, and the safe and high-quality image hiding application is favorably realized.
As a seventh embodiment of the present invention, as shown in fig. 13, the present invention provides a gray-scale image hiding method. A sending end divides an original gray image into a plurality of image small blocks with 8-by-8 pixels, then discrete cosine transform, non-uniform quantization, lossless entropy coding and BCH coding processing are sequentially carried out on the image small blocks to obtain a plurality of binary data small pieces, the binary data small pieces are sequentially combined to generate a binary gray image data string, and the binary data string is inserted into a binary hologram, namely, the original gray image is hidden in the binary hologram; sending the binary hologram with the hidden original gray level image to a receiving end; the receiving end extracts the binary gray scale image data string, divides the binary gray scale image data string into a plurality of binary data small pieces, then carries out BCH decoding, lossless entropy decoding, non-uniform inverse quantization and inverse discrete cosine transformation on the plurality of binary data small pieces in sequence, combines the obtained plurality of image small pieces with 8 pixels, and finally obtains the restored gray scale image.
In summary, in the gray scale image hiding method provided in the seventh embodiment of the present invention, a method combining JPEG encoding and BCH encoding is used to encode an image to be hidden, the encoded image is hidden in a binary hologram, a transmitting end transmits the binary hologram with the hidden gray scale image to a receiving end, and the receiving end performs corresponding decoding processing. The JPEG coding can greatly reduce the size of an image file under the condition of ensuring the quality of a static image, the BCH coding has very strong capability of resisting various noise interferences and error correction, and the JPEG coding and the BCH coding are combined to reduce the data volume of a hidden image and enhance the anti-noise capability, so that the gray image is not easily interfered by noise in the processes of processing, hiding and transmitting a binary hologram carrier, and the quality of a recovered image is greatly improved. In a holographic video system, the hidden image can be used as a digital watermark for protecting the copyright of the hologram and identifying the authenticity; in the fields of military affairs, secret communication and the like, the method provided by the invention uses the binary digital hologram as a carrier, and secretly transmits the image information, so that the image transmission is safer; meanwhile, on the basis of the invention, more additional information or functions are added into the binary digital hologram, so that the purpose of increasing the information transmission bandwidth and efficiency can be achieved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A gray scale image coding hiding method, the method comprising:
the method comprises the steps that a transmitting end encodes a gray level image by a JPEG encoding method to obtain a JPEG encoded data string, and decimal data of the JPEG encoded data string are converted into binary data;
according to the preset noise intensity, the formula n is 2m-1, wherein m.gtoreq.3,m belongs to Z, and m is more than or equal to n-k, the error correction capability t of the BCH code is determined, wherein t is less than m/2, the error correction capability t of the BCH code is utilized to calculate and obtain the information bit length k, and the total information bit length n of the BCH code is calculated and obtained according to the information bit length k; wherein m is a non-zero positive integer determined according to the practical application condition, and Z represents a non-zero positive integer set;
sequentially dividing the binary data of the lossless entropy coding sub-data string into a plurality of binary data small pieces from front to back by taking the total information bit length n of the BCH coding as a dividing unit;
performing BCH coding on the plurality of binary data small pieces respectively, and sequentially combining the plurality of binary data small pieces subjected to BCH coding to generate a binary gray level image data string;
the sending end generates a replacement rule according to a random numerical value input by a user, and replaces a binary pixel value at a corresponding position in a preset binary hologram with each bit data in the binary gray scale image data string according to the replacement rule to obtain the binary hologram with a hidden gray scale image;
and the sending end sends the binary hologram with the hidden gray level image to a receiving end.
2. The method of claim 1, wherein the transmitting end encodes the gray-scale image by using a JPEG encoding method to obtain a JPEG encoded data string, comprising:
the sending end divides the gray-scale image into a plurality of image small blocks with 8 x 8 pixels;
respectively carrying out discrete cosine transform on the pixel values of 8 x 8 of the image small blocks to obtain discrete cosine transform pixel values;
respectively carrying out non-uniform quantization processing on discrete cosine transform pixel values of a plurality of image small blocks to obtain the discrete cosine transform pixel values after the non-uniform quantization processing;
and respectively carrying out lossless entropy coding on a plurality of discrete cosine transform pixel values subjected to non-uniform quantization processing to obtain a plurality of lossless entropy coding sub-data strings, and then combining the sub-data strings according to the segmentation sequence of the image small blocks to form a JPEG coded data string.
3. A method for decoding a grayscale image, the method comprising:
a receiving end receives a binary hologram of a hidden gray level image sent by a sending end;
the receiving end generates a replacement rule according to a random numerical value input by a user, and extracts the binary gray scale image data string in the binary hologram according to the replacement rule;
the receiving end determines the total information bit length of BCH decoding by using the total information bit length of BCH coding obtained when the transmitting end carries out BCH coding;
sequentially dividing the binary gray scale image data string into a plurality of binary data small pieces from front to back by taking the total information bit length of the BCH decoding as a division unit;
the total information bit length: according to the preset noise intensity, the formula n is 2m-1, wherein m is more than or equal to 3, m belongs to Z, and m is more than or equal to n-k and less than or equal to m to determine the error correction capability t of the BCH code, wherein t is less than m/2, the information bit length k is obtained by utilizing the error correction capability t of the BCH code, and the total information bit length n of the BCH code is obtained by calculation according to the information bit length k; wherein m is a non-zero positive integer determined according to the practical application condition, and Z represents a non-zero positive integer set;
performing BCH decoding on the binary data small pieces respectively to obtain JPEG encoded data strings;
and the receiving end converts the binary data of the JPEG encoded data string into decimal data, and decodes the decimal data of the JPEG encoded data string by utilizing a JPEG decoding method to obtain a hidden gray image.
4. The method of claim 3, wherein decoding the decimal data of the JPEG encoded data string using a JPEG decoding method to obtain a hidden gray scale image comprises:
sequentially dividing the JPEG encoded data string according to the JPEG data string size corresponding to the 8-by-8-pixel image small blocks one by one, and respectively performing lossless entropy decoding on the obtained plurality of lossless entropy encoded sub-data strings to obtain a plurality of 8-by-8-pixel image small blocks corresponding to the discrete cosine transformed non-uniform quantized pixel value arrays;
respectively carrying out non-uniform inverse quantization processing on a plurality of non-uniform quantized pixel value arrays of the discrete cosine transform to obtain a plurality of discrete cosine transform pixel value arrays subjected to non-uniform inverse quantization processing;
respectively carrying out inverse discrete cosine transform on a plurality of discrete cosine transform pixel value arrays subjected to non-uniform inverse quantization processing to obtain a plurality of 8-by-8 pixel image small blocks;
and combining the plurality of image small blocks of 8-by-8 pixels to restore the hidden gray-scale image.
5. A grayscale image coding hiding apparatus, the apparatus comprising:
the JPEG coding module is used for coding the gray level image by using a JPEG coding method to obtain a JPEG coded data string and converting decimal data of the JPEG coded data string into binary data;
BCH coding module for setting formula n to 2 according to preset noise intensitym-1, wherein m is more than or equal to 3, m belongs to Z, and m is more than or equal to n-k and less than or equal to m to determine the error correction capability t of the BCH code, wherein t is less than m/2, the error correction capability t of the BCH code is utilized to calculate the information bit length k, and the total information bit length n of the BCH code is calculated according to the information bit length k; wherein m is a non-zero positive integer determined according to the practical application condition, and Z represents a non-zero positive integer set; sequentially dividing the binary data of the lossless entropy coding sub-data string into a plurality of binary data small pieces from front to back by taking the total information bit length n of the BCH coding as a dividing unit; performing BCH coding on the plurality of binary data small pieces respectively, and sequentially combining the plurality of binary data small pieces subjected to BCH coding to generate a binary gray level image data string;
the system comprises a JPEG coding data string, a binary gray scale image data string and a data processing module, wherein the JPEG coding data string is used for dividing binary data of the JPEG coding data string into a plurality of binary data chips, performing BCH coding on the plurality of binary data chips respectively, and sequentially combining the BCH coded plurality of binary data chips to generate a binary gray scale image data string;
the hiding module is used for generating a replacement rule according to a random numerical value input by a user, and replacing a binary pixel value at a corresponding position in a preset binary hologram with each bit data in the binary gray scale image data string according to the replacement rule to obtain the binary hologram with a hidden gray scale image;
and the sending module is used for sending the binary hologram hiding the gray level image to a receiving end.
6. The apparatus of claim 5, wherein the BCH encoding module comprises:
the code division rule generating module is used for determining the error correction capability of the BCH code according to the preset noise intensity and calculating the total information bit length of the BCH code by utilizing the error correction capability of the BCH code;
the binary data chip coding and dividing module is used for sequentially dividing the binary data of the JPEG coded data string into a plurality of binary data chips from front to back by taking the total information bit length of the BCH code as a dividing unit;
and the binary gray scale image data string generation module is used for respectively carrying out BCH coding on the plurality of binary data small pieces and sequentially combining the plurality of binary data small pieces after BCH coding to generate a binary gray scale image data string.
7. A grayscale image decoding apparatus, characterized in that the apparatus comprises:
the receiving module is used for receiving the binary hologram of the hidden gray level image sent by the sending end;
the hidden image extraction module is used for generating a replacement rule according to a random numerical value input by a user and extracting a binary gray level image data string in the binary hologram according to the replacement rule;
the BCH decoding module is used for dividing the binary gray scale image data string into a plurality of binary data small pieces in sequence from front to back by taking the total information bit length of BCH decoding as a dividing unit;
the total information bit length: according to the preset noise intensity, the formula n is 2m-1, wherein m is more than or equal to 3, m belongs to Z, and m is more than or equal to n-k and less than or equal to m to determine the error correction capability t of the BCH code, wherein t is less than m/2, the information bit length k is obtained by utilizing the error correction capability t of the BCH code, and the total information bit length n of the BCH code is obtained by calculation according to the information bit length k; wherein m is a non-zero positive integer determined according to the practical application condition, and Z represents a non-zero positive integer set; performing BCH decoding on the binary data small pieces respectively to obtain JPEG encoded data strings;
and the JPEG decoding module is used for converting the binary data of the JPEG coded data string into decimal data and decoding the decimal data of the JPEG coded data string by using a JPEG decoding method to obtain a hidden gray image.
8. The apparatus of claim 7, wherein the BCH decoding module comprises:
a decoding and dividing rule generating module, configured to determine a total information bit length of BCH decoding by using the total information bit length of BCH encoding obtained when the transmitting end performs BCH encoding;
a binary data chip decoding and dividing module, configured to sequentially divide the binary grayscale image data string into a plurality of binary data chips in a front-to-back order by using the total information bit length of the BCH decoding as a division unit;
and the JPEG coded data string generating module is used for respectively carrying out BCH decoding on the plurality of binary data small pieces to obtain the JPEG coded data string.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710451885.0A CN107330843B (en) | 2017-06-15 | 2017-06-15 | Gray level image coding hiding method and device and decoding method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710451885.0A CN107330843B (en) | 2017-06-15 | 2017-06-15 | Gray level image coding hiding method and device and decoding method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107330843A CN107330843A (en) | 2017-11-07 |
| CN107330843B true CN107330843B (en) | 2021-03-16 |
Family
ID=60194812
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710451885.0A Active CN107330843B (en) | 2017-06-15 | 2017-06-15 | Gray level image coding hiding method and device and decoding method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107330843B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109474825B (en) * | 2018-10-18 | 2020-07-10 | 北京大学 | Pulse sequence compression method and system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1620003A (en) * | 2004-11-15 | 2005-05-25 | 北京交通大学 | Anti interference information hidding method based on turbo code and image carrier |
| US7684645B2 (en) * | 2002-07-18 | 2010-03-23 | Sightic Vista Ltd | Enhanced wide dynamic range in imaging |
| CN102298948A (en) * | 2010-05-06 | 2011-12-28 | 索尼公司 | Encoding device and method, recording device and method, and encoding device an d method |
| CN102970544A (en) * | 2012-12-07 | 2013-03-13 | 豪威科技(上海)有限公司 | JPEG (Joint Photographic Experts Group) encoding and decoding method and JPEG encoding and decoding system |
| CN103886545A (en) * | 2014-04-17 | 2014-06-25 | 上海理工大学 | Transformation domain printing-scanning resistant digital watermarking method based on computer-generated holography |
| CN106127667A (en) * | 2016-06-13 | 2016-11-16 | 天津大学 | A kind of jpeg image self adaptation steganography method |
| CN106845593A (en) * | 2017-01-16 | 2017-06-13 | 武汉大学 | A kind of rectangle fixes dot matrix information encoding-decoding method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4732250B2 (en) * | 2006-06-14 | 2011-07-27 | キヤノン株式会社 | Information processing apparatus, control method, and computer program |
| US9690656B2 (en) * | 2015-02-27 | 2017-06-27 | Microsoft Technology Licensing, Llc | Data encoding on single-level and variable multi-level cell storage |
-
2017
- 2017-06-15 CN CN201710451885.0A patent/CN107330843B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7684645B2 (en) * | 2002-07-18 | 2010-03-23 | Sightic Vista Ltd | Enhanced wide dynamic range in imaging |
| CN1620003A (en) * | 2004-11-15 | 2005-05-25 | 北京交通大学 | Anti interference information hidding method based on turbo code and image carrier |
| CN102298948A (en) * | 2010-05-06 | 2011-12-28 | 索尼公司 | Encoding device and method, recording device and method, and encoding device an d method |
| CN102970544A (en) * | 2012-12-07 | 2013-03-13 | 豪威科技(上海)有限公司 | JPEG (Joint Photographic Experts Group) encoding and decoding method and JPEG encoding and decoding system |
| CN103886545A (en) * | 2014-04-17 | 2014-06-25 | 上海理工大学 | Transformation domain printing-scanning resistant digital watermarking method based on computer-generated holography |
| CN106127667A (en) * | 2016-06-13 | 2016-11-16 | 天津大学 | A kind of jpeg image self adaptation steganography method |
| CN106845593A (en) * | 2017-01-16 | 2017-06-13 | 武汉大学 | A kind of rectangle fixes dot matrix information encoding-decoding method |
Non-Patent Citations (2)
| Title |
|---|
| 《Modified BCH data hiding scheme for JPEG steganography》;Vasily Sachnev;《EURASIP Journal on Advances in Signal Processing》;20121231;1-10 * |
| 《基于数字水印的图像篡改检测与版权保护技术研究》;杨群亭;《中国博士学位论文全文数据库 信息科技辑》;20140615(第6期);I138-8 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107330843A (en) | 2017-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8032758B2 (en) | Content authentication and recovery using digital watermarks | |
| CN103414892B (en) | The Image Hiding that a kind of Large Copacity is incompressible | |
| CN109462714B (en) | Encrypted image multi-bit plane reversible data hiding method with low cloud storage overhead | |
| CN103426141B (en) | A kind of image content authentication method and system | |
| KR20220025153A (en) | Method and apparatus for encoding and decoding hdr images | |
| Lin et al. | Reversible data hiding for VQ-compressed images based on search-order coding and state-codebook mapping | |
| Pan et al. | Video steganography using motion vector and linear block codes | |
| CN113613016A (en) | Video tamper detection | |
| Zhang et al. | Novel video steganography algorithm based on secret sharing and error-correcting code for H. 264/AVC | |
| Sachdeva et al. | Colour image steganography based on modified quantization table | |
| Valenzise et al. | A compressive-sensing based watermarking scheme for sparse image tampering identification | |
| CN104065976B (en) | A kind of compression of images and security transmission method based on video | |
| Rahmani et al. | An efficient histogram-based index mapping mechanism for reversible data hiding in VQ-compressed images | |
| CN107330843B (en) | Gray level image coding hiding method and device and decoding method and device | |
| CN104065969B (en) | A kind of Image Hiding of the anti-big compression of Large Copacity | |
| CN109636707B (en) | Blind detection information hiding and extracting method based on image texture features | |
| Chang et al. | A data embedding scheme for color images based on genetic algorithm and absolute moment block truncation coding | |
| Shie et al. | Data hiding based on compressed VQ indices of images | |
| WO2015153478A1 (en) | Orthogonal data organization for error detection and correction in serial video interfaces | |
| Tsui et al. | A New Adaptive Steganographic Method Based on Gradient Adjacent Prediction and Side-Match Vector Quantization. | |
| Bugár et al. | Blind steganography based on 2D Haar transform | |
| Rahmani et al. | A location map free reversible data hiding scheme for VQ-compressed images based on search order coding | |
| CN110855850A (en) | Data hiding method based on matrix coding | |
| Cheng et al. | A reversible JPEG-to-JPEG data hiding technique | |
| Kumar et al. | Secret data hiding in image using AMBTC technique |
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 |