219results about How to "Increase embedding capacity" patented technology

The invention discloses an omni-directional prediction-based reversible image watermarking algorithm comprising the steps of watermark embedding and watermark detection, wherein the watermark embedding process comprises the following steps of: firstly, dividing an image into two mutually-disjointed pixel sets of S1 and S2; secondly, sequentially predicting the pixel sets of S1 and S2 with an omni-directional prediction method to obtain the predication error; and finally, modifying the prediction error histogram to embed the watermark. The watermark extraction process comprises the following steps of: firstly, dividing the image into two mutually-disjointed pixel sets of S1 and S2; secondly, sequentially predicting the pixel sets of S1 and S2 with the omni-directional prediction method according to the sequence opposite to the embedding sequence to obtain the predication error; and finally, extracting the watermark from the predication error, modifying the histogram and restoring the image. According to the invention, by adopting the sequentially-embedded and reversibly-extracting mode, the embedded watermark image can be restored after the watermark is extracted and the reversibility of the watermark of the image can be realized; by adopting the omni-directional prediction method to predict, the prediction error histogram has high centrality and the higher embedded capacity can be realized; and by using the histogram modification in the embedding process, the influence on the image is little and the image embedded with the watermark has favorable visual quality.

The invention discloses a lossless data hiding method based on difference image histogram cycle spinning. The lossless data hiding method includes steps of encrypting, secret key transmitting and data recovery. During encrypting, an original image is divided into a plurality of sub image blocks at the transmitting end, cycle spinning operation is performed by aid of a sub block difference histogram to achieve step-by-step embedding of secret data, a secret image C' is formed and transmitted to the receiving end. During secret key transmitting, the size of sub image blocks, the length of embedded data and the embedding level L serve as a secret key to be distributed to the receiving end. During data recovery, the receiving end extracts the secret data step by step from the secret image C' in an inverse method of the embedding process, block difference and original image data are recovered, and secret data transmission and lossless recovery based on the image carrier are achieved. The lossless data hiding method overcomes the defect that the capacity of the original histogram spinning algorithm depends on a single peak point, and increases the embedding capacity through a cycle embedding method. Experimental results prove that the lossless data hiding method can well meet requirements for high capacity, low distortion and high efficiency.

The invention relates to zero-watermarking embedding and extracting methods and zero-watermarking embedding and extracting devices based on DWT and PCA compression. When a watermark is embedded, improved Arnold transformation is used to transform an original watermark; a compression image is obtained by using wavelet transformation and PCA compression methods; and XOR operation is carried out on the compression image and a scrambled watermark image to obtain a characteristic matrix. When the watermark is extracted, discrete wavelet transformation is carried out on a carrier image with zero-watermark, the PCA compression method is used to compress a low-frequency sub-band image, XOR operation is carried out on the obtained matrix and the characteristic matrix, the scrambled watermark image is obtained, and a reverse Arnold transformation formula is used to obtain the original watermark image. According to the method and device of the invention, zero watermark is easy to construct and extract, and the safety and anti-attack capability of the watermark are improved effectively.

The invention discloses a high-capacity reversible watermark method based on predication and companding technique. Through the introduction of the companding technique, the invention includes two processes: watermark embedding and watermark extracting. The invention effectively solves the problem of capacity consumption of position drawing in reversible watermark algorithm, and achieves high embedding capacity even in the situation of low threshold value. Meanwhile, due to the operation of data re-embedding after the compression of high predication errors, the invention still can maintain high peak signal to noise ratio (PSNR value).

The invention relates to a video steganographic method based on macro block partition mode disturbance. The method includes an embedment process of secrete information and an extraction process of the secrete information. Two hidden channels are built in the embedment process of the secrete information, the secret information is embedded through different steganographic codes, and the secrete information is extracted from the two hidden channels sequentially in the extraction process of the secret information. Preferably, the two hidden channels are built through the steganographic codes including a Syndrome Trellis Code and a Wet Paper Code, and embedment and extraction of the secret information are carried out. Various steganographic codes are used comprehensively to carry out video steganography, high embedment efficiency is achieved, attack of an existing video steganographic analysis method can be resisted effectively, and the video steganographic method is especially suitable for high-safety hidden communication; different macro block division mode disturbance costs can be made according to different application scenes, and high flexibility is achieved.

The invention provides a binary image steganography method based on disturbance distortion and pixel selection, which is characterized in that a distortion condition brought about by pixel overturn of a binary image is calculated according to a more appropriate disturbance measurement method, secret information is embedded through STC encoding, the embedding capacity of the secret information is improved, a secret carrying image is acquired, post-processing is performed on the secret carrying image according to a pixel selection strategy, and a binary steganographic image used for channel transmission is acquired. The binary steganographic image acquired according to the invention is higher in visual quality and higher in safety and anti-detection capacity compared with previous methods. The invention further provides a post-processing strategy for pixel selection in consideration of mutual influences existing between turnover pixels, and a safer binary steganographic image with higher visual quality is acquired. The binary image steganography method can be used for the information security and especially for the aspect of binary image secret information transmission.

The invention discloses a H.264/AVC video reversible data hiding method comprising H.264/AVC video reversible data hiding, hidden data extraction and original video recovery; under the prerequisite of compatible with H.264/AVC video compression coding standards, the method selects residual error coefficients in a 4*4 sub-block to expand or shift, thus hiding the reversible data; the method is low in calculation complexity, can satisfy real time video application demands, and the hiding data has very little influences on the H.264/AVC video bitstream code rate; the method pairs two adjacent non-zero residual error coefficients as basic embedding units, can modify a two dimension residual error coefficient histogram to pair the residual error coefficients and to expand or shift, thus embedding the hidden information; the residual error coefficient with big appearance frequency has more bits on the embedded hidden information, thus keeping good perception quality, and providing high embedding capacity; the method can ensure the hidden information to be effectively extracted, thus fully recovering the original video after the hidden information is extracted.

An information-hiding method of anti-statistic analysis image based on chaos system includes selecting embedded-position by random sequence generated on basis of chaos system first then carrying out LSB random-embedding and carrying out dynamic compensation on embedded image.

The invention discloses an asymmetric prediction error histogram modification-based reversible information hiding method. The method comprises the following steps of performing overflow preprocessing;calculating a peak point and a zero point; embedding secret information; extracting the secret information; and performing overflow recovery processing. A compensation principle can be well utilizedno matter whether an embedded information quantity is maximal or minimal; when the embedded information quantity is relatively small, fewer pixel points can be modified, so that the quality of a secret-carrying image is improved; and meanwhile, by utilizing secondary embedding, the image quality is improved while the embedding capacity is expanded.

The invention relates to methods and systems for generating and checking an electronic note with an anti-counterfeiting two-dimension code. The method for generating the electronic note with the anti-counterfeiting two-dimension code comprises the following steps that: an original electronic note picture is read, and a temporary electronic note picture with a defined two-dimension code embedding region is generated; for the temporary electronic note picture, an information abstract algorithm is utilized for calculating abstract data, and in addition, the obtained abstract data is encrypted for generating the anti-counterfeiting two-dimension code; and the anti-counterfeiting two-dimension code is embedded into the two-dimension code embedding region of the original electronic note picture, and the electronic note with the anti-counterfeiting two-dimension code is obtained. The methods and the systems provided by the invention can be used for effectively preventing the tampering and the counterfeiting of the electronic note, and in addition, the diversity and the practicability of the electronic note can be greatly improved.

The invention discloses a general steganography method based on deep learning. The method comprises the following steps: S1, carrying out hiding processing on a sender; dividing secret information tobe hidden into n groups of information fragments, wherein each group of information fragments correspond to one category label, a deep learning model is adopted, the category label and random noise are used as drive, a pseudo-natural image of a specified category is generated, and the pseudo-natural image is used as a secret-containing image input channel after hiding processing; and S2, carryingout extraction processing at a receiver: inputting the secret-containing image into a discriminator by the receiver to carry out image authenticity identification and image category judgment, then sending the image category information into a function converter to be processed to obtain a secret information fragment, and decoding the secret information fragment to obtain original secret information. According to the invention, the security and confidentiality of information transmission can be greatly improved.

The invention discloses an encrypted domain image reversible data hiding method based on neighborhood prediction. The method comprises three steps including Image Encryption reversible data hiding and; secret information extraction; In the image encryption part, an image is segmented into image blocks; the pixel value of each pixel point in each image block and the value of one element in the random sequence are added for encryption, and modulo operation is performed on 256 to realize encryption ; the linear prediction difference values meeting the specific conditions in the image blocks arekept consistent before and after encryption; data hiding in the encrypted image can be ensured; The method has the advantages that hidden information extraction and image decryption are achieved, complete separation of hidden information extraction and image decryption is guaranteed, hidden information can be effectively extracted in an encryption domain, hidden information can also be effectivelyextracted in a decryption domain, the practicability is higher, and meanwhile it can be guaranteed that an original image can be restored without distortion after the hidden information is extracted.

The invention relates to a vector map reversible information hiding method based on LSD planes. Top points of a vector map are sequentially scanned to obtain x-coordinate sequences and y-coordinate sequences of the top points; scaling positions of the coordinates are moved towards the right side to obtain new coordinate sequences; MSD planes and the LSD planes are calculated; the LSD planes are sequenced according to the ascending sequence to obtain orderly LSD planes; watermarks are embedded in the orderly LSD planes; the coordinate sequences of the orderly LSD planes containing the watermarks are adjusted to obtain LSD planes containing the watermarks; the coordinate sequences containing the watermarks are obtained through calculating; scaling positions of the coordinates in the coordinate sequences containing the watermarks are adjusted; a vector map containing the watermarks is obtained.

The invention discloses a dual encryption type reversible data hiding method of an encryption domain image. The method comprises three parts, namely, image encryption, reversible data hiding of the encryption domain image, secrete data extraction and original image lossless restoration; a double encryption mechanism is adopted in the image encryption part to enhance the security; secret information can be directly embedded in the encrypted images, even if the data hider knows nothing about the original image contents, the image content security and privacy leakage problems can still be effectively solved, no complex protocol is needed between the image encipherer and the secret information embedding person, and the encryption and data embedding generate no expansion of image data; the practicability is high, if only a data hiding key is present, the hidden secret information can be directly extracted from a ciphertext domain image; if only an encryption key is present, an approximate original image can be obtained by direct decryption; and if the data hiding key and the encryption key are present, it can be guaranteed that the original image can be restored without distortion afterthe hidden secret information is extracted.

The invention relates to a self-adaptive reversible information hiding method based on pixel replacement. According to the method, a more effective embeddable unit is constructed, differentiation encoding is conducted on the gray level trend of an embeddable region of the embeddable unit according to characteristics of different carrier images, and finally information is embedded through pixel replacement. According to the algorithm, according to embeddable conditions, the embedding capacity is improved while overlarge influences of the steganography process on the visual quality of the imagesare avoided. Besides, the embeddable pixel pair self-adaptive re-encoding process based on the gray level trend characteristics is added, and the algorithm embedding capacity is improved to the largest extent. Finally, the mil is embedded in a pixel replacement mode, so that the algorithm has a gray level histogram stability.

The invention provides an iterative self-adaptive reversible watermark embedding and extracting method. The embedding method firstly adopts an iterative self-adaptive method to select an adjustment translation amount to achieve a balance of watermark embedding capacity and embedding carrier visual quality according to influence of the load data size and an integer vector on a peak signal to noise ratio; then a complete location map generation strategy is given according to a principle that neighboring pixel values are close so as to improve location map compression performance; and finally a layered orderly embedding strategy is adopted to embed load data in the lowest, the second lowest and the third lowest significance bits to avoid a circumstance that the capacity is sufficient but embedding cannot be realized. Compared with a conventional mean value adjustment integer transformation reversible watermark, the method provided by the invention can still maintain a large embedding capacity without setting a threshold value in advance, after a watermark is embedded, visual quality of a shelter is better, performance of the location map generation strategy is better than the conventional mean value adjustment integer transformation reversible watermark method and a compressed location map is smaller, thereby indirectly increasing the embedding capacity.

The invention discloses a ciphertext domain high-capacity image reversible data hiding method, including prediction error detection, image encryption, ciphertext domain image reversible data hiding, secret information extraction and original image non-destructive recovery, wherein in the first part, all pixel points in a grayscale image are first divided into two categories that are sampling pixelpoints and non-sampling pixel points, and then all non-sampling pixel points are marked as prediction errors and accurate predictions respectively; in the second part, the marked grayscale image is encrypted by using a binary pseudo-random sequence generated by an encryption key; in the third part, the secret information is encrypted by using a binary pseudo-random sequence generated by a data hiding key, and then the encrypted secret information is used to embed data into each non-sampling pixel point that is marked as the accurate prediction in a ciphertext domain image; and in the fourth part, only the secret information is extracted, or only the original grayscale image is recovered, or the secret information is extracted first and then the original grayscale image is recovered. The method has the advantages that information can be embedded in the ciphertext domain image, and the embedding capacity is high.

The invention discloses a robust video steganography method for reducing H.264 interframe drift distortions. The method comprises the following steps: step 1, analyzing the interframe drift distortions to obtain the cause of the drift distortions, then classifying the generated drift distortions according to the size, and selecting an embedding position of a DCT brightness coefficient according tothe size of an embedded drift distortion; step 2, carrying out convolutional encoding on an information sequence to be embedded, wherein each input code element corresponds to two output code elements; step 3, embedding an output sequence into the DCT coefficient, after the embedding is completed, performing entropy coding on an H.264/AVC video stream to form a dense video sequence; and step 4, performing entropy decoding on the H.264/AVC video stream, extracting an original DCT coefficient, acquiring the output sequence, decoding the output sequence, outputting the information sequence to beembedded, and completing the extraction of the information sequence to be embedded. The robust video steganography method for reducing the H.264 interframe drift distortions provided by the inventionimproves the data embedding capacity, the video quality and the robustness.

The invention provides a direction changing difference expansion and synchronous embedding reversible watermark embedding and extraction method. Embedding capacity and embedding data are enabled to be unrelated by adopting direction changing difference expansion and the threshold is enabled to select the maximum embedding capacity; and the classification accuracy and the maximum embedding capacity are enhanced by adopting gradient and direct classification for avoiding normalized gradient and reduction of the classification accuracy. A compressed location graph is applied so that large consumption of the embedding capacity and excessive additional data caused by recording overflow pixel location of a generic difference expansion and local complexity reversible watermark method can be avoided. The embedding data are ensured to be completely reversible by giving the embedding strategy of synchronous addition of backup data for avoiding irreversibility caused by direct embedding of the additional data after embedding of load data, and an embedding parameter selection method based on ordering and enumeration is also given so as to reduce computational complexity. Compared with the reversible watermark method based on generic difference expansion and local complexity, the method is completely reversible and parameter selection time is greatly reduced so that the method has larger maximum embedding capacity.

The invention provides a reversible data hiding method based on pixel multi-scale prediction, and the method comprises the steps: calculating the neighborhood complexity of each pixel on a carrier image in an area, and carrying out the classification of all pixels according to the neighborhood complexity of the pixels; Performing multi-scale prediction on the classified pixel set with a certain range of neighborhood complexity to obtain a prediction value, and further obtaining a prediction error value and a corresponding prediction error histogram; Using the histogram expansion- translation embedding algorithmto expand and translate the pixel values corresponding to the prediction error at the peak of the prediction error histogram,, and embedding the secret data into the prediction errorof the pixel value so as to obtain an image embedded with the secret data; And embedding the auxiliary information into the image embedded with the secret data through an LSB steganography algorithmto obtain an encrypted image containing the secret data. According to the method, under the condition that a certain embedding capacity is ensured, the embedding distortion of the carrier image is effectively reduced by fully utilizing the information redundancy among the pixels.