76 results about "Image hiding" patented technology

The invention discloses a phase-cut Fourier transform based image hiding method, an image restoring method and an image encrypted transmission method. The image hiding method includes: subjecting a to-be-hidden image f to Fourier inverse transform prior to extracting an amplitude matrix g(x, y) and a phase matrix P(x, y) of the image subjected to Fourier inverse transform, and subjecting a carrier image f1 to Fourier transform prior to extracting an amplitude matrix g1(u, v) and a phase matrix P1(u, v) of the image subjected to Fourier transform; enabling g'1 (u, v)=g1(u, v)+g(x, y), then multiplying the g'1 (u, v) by the P1(u, v), obtaining a hidden result after Fourier transform and extracting an amplitude matrix f'1(x, y) of the hidden result so as to obtain a final hidden result image. The image restoring method is implemented by taking the P(x, y) as a private decryption key and performing the image hiding method reversely. The phase-cut Fourier transform based image hiding method, the image restoring method and the image encrypted transmission method have the advantages that difference between the obtained hidden result and the carrier image is small, so that deception is achieved; original information can be restored completely, and the problems of image quality degradation and the like are avoided; calculated quantity is small, and high safety during encrypted transmission is achieved.

The invention discloses invisible code graphics, a processing method of the invisible code graphics and anti-fake application and belongs to the field of information processing. The processing method includes a processing method with the image hiding technology and the coding technology combined. Images are divided into two parts, two different screening manners are adopted for screening the two parts of the images respectively, amplitude-modulating screening is conducted on an information hiding part, frequency modulating screening is conducted on the other part of the images, and meanwhile coding information is recorded according to the sequence of exposing pixel points in a grid of an area needing information hiding so that the purpose of information hiding can be achieved. The hidden code graphics serves as anti-fake labels, after the labels are copied by a common copying machine, the images with amplitude-modulating dot screening can be well shown, however, the images with amplitude-modulating dot screening cannot be completely shown, and therefore the code graphics can be shown and initial fake prevention is achieved. Meanwhile, buried coded messages can be obtained through an image sensor, and therefore authenticity is identified after the coded messages are compared with content on certificates and securities.

The invention discloses an image hiding method based on a video carrier and under an off-line controllable mechanism. A key frame of a video is firstly subjected to 2-DWT transformation; then Arnold transformation is carried out on sub-bands; through characteristics of singular value decomposition and multi-resolution characteristics of wavelet transformation, images are embedded in sub-band singular values which have undergone scrambling; when the video is under different attacks, blind extraction of the image can be realized; and the blind extraction specifically comprises two steps which are color image confidential storage and color image extraction checking. As technology of embedding and extraction of the color image in the video and the technology of limited frequency checking and anti-copying in an image off-line condition, the method of the invention is the image confidential storage technology based on the video carrier and under the off-line controllable mechanism, and can solve problems of confidentiality and storage of confidential and private images, thereby reaching a purpose of protecting private and confidential information, and realizing validity and controllability access of the image in an extent of competence.

The invention relates to a distributed information hiding detection method facing mass web images, which comprises the following steps of: a, setting up a Hadoop operation environment on a cloud computing platform; b, generating a Nutch crawling queue; c, according to a MapReduce architecture of the Hadoop, carrying out distributed webpage crawling; d, analyzing a webpage and extracting images in the webpage; 3, storing the extracted web images by adopting Hbase; f, carrying out universal blind detection of the images; g, screening out images with a BMP (Bitmap) format and a JPEG (Joint Photographic Experts Group) format; h, detecting the images with the BMP format; and i, detecting the image with the JPEG format. The image hiding detection method disclosed by the invention adopts open source technologies such as Hadoop, Nutch and the like, is easy to design, develop and implement, has a good detection effect, is suitable for extraction of mass images and detection of hidden information in the current network environment and has important practical significance for finding out and tracking lawless people who utilize public channels to carry out covert communication and maintaining national information security.

The invention provides a high-fidelity hidden image figure screen frequency determination method and system based on direct correction, and relates to the technical field of anti-counterfeiting printing. The method includes the steps that after a bottom image is hidden in a surface image at a conventional screen frequency, image defects caused in the image hiding and printing processes are quantitatively and accurately predicted through a printed image distortion prediction system, accurate alignment compensation is carried out through an image compensation optimization system, and a high-fidelity printed product including the bottom image is obtained. The system comprises a color separation module, a screen frequency determination module, a screen point modulation module, a printed image distortion prediction module, an image distortion compensation optimization module, an optimization result judgment module and a platemaking printing module. By means of the high-fidelity hidden image figure screen frequency determination method and system based on direct correction, the multilayer high-definition and multi-gray level bottom image is hidden under the condition that the high fidelity of the surface image is guaranteed, the quality of the surface image can be effectively improved, the selection range can be widened, the bottom image is large in modulation amplitude, good in visual effect and high in resolution ratio, and the high-fidelity hidden image figure screen frequency determination method and system based on direct correction are suitable for various screen point modulation modes and a combination thereof.

The invention discloses a reversible image hiding algorithm based on an AMBTC algorithm. The reversible image hiding algorithm comprises an RIHA algorithm. The RIHA algorithm comprises the following steps: (1), inputting a carrier image C; (2), entering the step (13) if all sub-blocks of the carrier image C are used, and otherwise, selecting a next k*k sub-block; (3), solving synthetic information Cv so as to obtain C'; (4-11), calculating W0,j and W1,j according to Pj of the jth sub-block; performing Cv embedding by selecting different steps according to values of W1,j and W0,j, entering the step 12 after all secrete information is embedded, and otherwise, entering the step 2; (12), reversely rotating in Ro*90 DEG, and outputting an image; and (13), ending. The RIHA algorithm provided by the invention has relatively high capacity and relatively low image distortion; the RIHA algorithm can avoid the effectiveness loss condition of the NRDH algorithm; the RIHA algorithm is more steady and reliable; and the output image quality is further improved.

A picture hiding method for protecting personal privacy comprises the steps of 1.1) determining a picture key tag parsing table; 1.2) scanning an original picture, and recording key tag storage bytes and corresponding positions to generate a list; 1.3) obtain a password character string according to an encrypted password or/and a randomly generated password, the password character string having a length the same as the number of key tags; 1.4) changing the key tag storage bytes in the list into password characters in the password character string; 1.5) sequentially taking out elements of the password character string and elements in the list to obtain a new string, and encrypting the new string to obtain an encrypted string; 1.6) writing in auxiliary information; and 1.17) after image start tag storage bytes covering up the picture is removed, splicing the remaining part to the tail part of arr_byte to complete the hiding of the original picture. Also provided are a picture restoration method for protecting personal privacy and a picture hiding system. According to the invention, the picture processing efficiency is high when massive pictures are processed.

The invention provides a presswork expression enhancement method and system based on high-fidelity image-hiding, and relates to the technical field of presswork expression. The method comprises the following steps: determining a design parameter through the early design and before-printing analysis to the presswork, hiding multilayer high-definition base images associated with a surface image under a full-color high-quality surface image through the adoption of a high-fidelity image-hiding netting system; through the prediction and optimal compensation of the color overlapping, obtaining the presswork with high expression by a printing system, wherein each layer of clear base image can be gradually observed through the corresponding detection measurement. Through the adoption of the presswork expression enhancement method and system based on the high-fidelity image-hiding provided by the invention, the complete causal relationship between the surface image and the base image can be expressed, the expression of the presswork is effectively improved, and the selection range of each of the surface image and the base image is enlarged.

The invention aims at providing an anti-fake label manufactured with an image hiding anti-fake technique. The anti-fake label has the advantages of attractive appearance and large anti-fake information content and comprises a label provided with an anti-fake image and a decoding grating matched with the anti-fake image. In the manufacture method, images to be hidden are specially processed by image processing software; images are positioned in accordance with screening parameters in a prepress screening mode and fused by chromatic aberration; a single image color lump or a four-color image is finally output, and directly published and printed on stocks so that image information to be hidden can be obtained. The image information to be hidden can be seen by sticking the matched grating on the stocks when in use. The anti-fake image manufactured with the method has the advantages of delicate image, strong anti-fake function, difficult reproduction, simple and convenient use, simple and clear identification of common consumers, simple manufacture process and low cost, and can be used for effective anti-fake and confidentiality in the field of package, certificates, and the like.

The invention provides an anti-counterfeiting method for high-fidelity image hiding in an information code area, and relates to the technical field of anti-counterfeiting printing. The method comprises the steps that the local or whole information code area is adjusted as an image hiding area aiming at an surface image suitable for image hiding optimized by a specific printing system, so that theinformation code surface image containing the image hiding area is obtained; anti-counterfeiting image hiding screening and printing are conducted on a base image which needs to be hidden in the imagehiding area through the specific printing system; during color separation, screening and printing, at least one local or whole color separation is half-tone in the image hiding area. According to themethod, reading and detection of an information code through a code scanning machine or a mobile phone are not affected, and meanwhile, one or more base images can be hidden under the information code area; the information code of the surface image can be read by a conventional means, and the base images can be read and detected by an optical means or a scanning means or the mobile phone corresponding to image hiding, so that the purpose of counterfeiting resistance is achieved.

The invention provides a method for detecting image hiding information. The method comprises the following steps: acquiring an image file to be detected as a first image file; Reading format information of a specified hidden file from a configuration file, and matching the first image file with a prefix identification of the specified hidden file; If the matching is successful, extracting the hidden file from the contents of the first image file according to a matching position identified in the first image file by the prefix of the specified hidden file. Compared with the manual detection inthe prior art, the method can improve the detection precision and the detection efficiency, in addition, the method carries the format information of the specified hidden file required by the detection process with the configuration file, and in practical application, the configuration file can be updated in real time according to the actual detection requirements, and has high scalability. In addition, the present application also provides a corresponding device and apparatus.

The invention provides an information hiding transmission method based on hybrid image processing. An original image is pre-processed into an airspace-transform domain hybrid image; due to block optimization and hybrid processing, massive information hiding on optimized airspace data is directly carried out; therefore, the image hiding capacity and the hiding recovery image quality are improved; and the information hiding transmission method based on hybrid image processing has the characteristics of being high in performance, low in complexity and easy in software and hardware implementation,and has practical value in all kinds of image information hiding transmission systems.

The invention discloses an image acquisition device and an image hiding method thereof. The image hiding method comprises the following steps of: firstly, acquiring picture information which comprises real image information and additional information; secondly, placing a file tag into an additional region of an image file; thirdly, if the file tag instructs displaying the real image information, storing the real image information in an image region of the image file and storing the additional information in the additional region of the image file; and lastly, if the file tag instructs hiding the real image information, moving the real image information to the additional region and placing preset image information into the image region.

The invention discloses a reversible data hiding method for a high dynamic range image. The reversible data hiding method comprises a data embedding process and a data extracting process, wherein the data extracting process is inverse operation of the data embedding process, and the data embedding process comprises the following steps of converting a rgb image into an RGBE image, and dividing to-be-embedded data into three parts in sequence for embedding the three parts into rgb three channels corresponding to the RGBE image; dividing all pixels of a certain embedding channel of the rgb three channels into two types: S1 and S2, dividing the corresponding embedded data into two types corresponding to S1 and S2, wherein in an embedding process, one type of data is embedded to S1, and then the same process is repeated for embedding the other type of data to S2. The reversible data hiding method disclosed by the invention achieves a purpose of embedding more data by sacrificing least image quality. Compared with the existing reversible HDR (high dynamic range) image hiding algorithm, the hiding algorithm disclosed by the invention improves hiding capacity simultaneously when guaranteeing reversible hiding, and guarantees a better visual effect.

The invention discloses a deep learning and multi-modal numerical reasoning-based geometric question answering method and a text and image bimodal combined neural network model. The method comprises the following steps: respectively acquiring text information and image information about question contents; encoding the text information into a corresponding text hiding state to obtain text semantics, and encoding the image information into a corresponding image hiding state to obtain visual semantics; fusing and aligning the text semantics and the visual semantics to obtain an answering program; and calculating an answering result according to the operation mode of the answering program. According to the method, the answering accuracy can be increased, the processing efficiency can be improved, and the technology which has good accuracy and high practicability and can autonomously generate the code sequence of the answer through deep learning is achieved.

The invention provides an image processing method and a mobile terminal, related to the technical field of communication. The image processing method comprises the following steps: obtaining an imagehiding operation used to hide a target image in an album; and hiding the target image in the album according to the image hiding operation, and displaying a preset secure image in the preferred display position in the album. The image processing method is used to solve the problem that the image encryption has a hidden security danger because the whole encryption of the image privacy protection inthe prior art makes other people know that the encrypted images exist in the mobile terminal.

A method for covering image includes setting parameter of covering area, confirming image data of covering area to cover image data at covering area according to column/line control signal of image and set parameter of covering area in conversion process between line image data signal and block image data signal at image compression/decompression course. The device used for realizing said method is also disclosed.

The invention relates to a depth adaptive image hiding method based on adversarial sample generation, which comprises the following steps: firstly, designing an experimental sample, and determining asecret graph and a cover graph for receiving hidden information; secondly, establishing an SSD network selected by a local hidden patch, and finding out an area most suitable for hiding the secret graph in the cover graph; then, establishing an encode network, generating disturbance through the encode network by using an adversarial sample method for the secret graph, and directly adding the disturbance to a selected area of the cover graph to generate a container graph with hidden information; then, establishing a code network, and solving a real graph which is highly similar to the set graph; and finally, training and testing an encode network and a code network, and updating a coding network for each group of inputs to realize personalized hiding of each group of images. Through the above three main steps, the method can achieve the adaptive local hiding of the image while maintaining the good hiding and restoring effect of coding, improves the reconstruction quality of image hiding, and enlarges the actual application range of image hiding.

The invention provides an adaptive image information hiding method based on a critical value. By combining a critical value of a subblock and an adaptive judgment critical block, an AIHC information hiding algorithm is provided. Through the AIHC algorithm, the capacity of image hiding is improved and through adaptively embedded secret information, safety is improved. The algorithm can be finished under the polynomial time complexity, thereby achieving simplicity. The secret information is extracted in the AIHC algorithm without additional information. Under the circumference that the image quality is kept, capacity is increased. The performance of the provided AIHC algorithm is better than that of other similar algorithms.

The invention discloses a multi-image hiding system based on a visual password. The multi-image hiding system encrypts a plurality of images based on a visual password scheme to obtain a plurality ofshared images, thereafter, a diffractive optical element is designed by using a phase retrieval algorithm, so that after the obtained diffractive optical element is irradiated by laser, different shared images are reproduced at different positions in a rear space, the corresponding shared images are aligned and superposed, and secret information can be decrypted, therefore, the method belongs to non-coherent superposition, is simple and convenient to operate and can effectively suppress noise. According to the multi-image hiding system, the diffractive optical element is used for hiding the plurality of shared images obtained after encryption through adopting the visual password scheme, the controllability of the diffractive optical element on a three-dimensional light field is effectivelyutilized, and the hiding of a plurality of pieces of encrypted information is realized.

The invention discloses a novel image hiding method based on chaotic differential. The method mainly includes a hiding process of a transmitting end and a recovery process of a receiving end. At the transmitting end, firstly, a chaotic matrix with the size as same as that of a secret image is generated by the aid of secret keys seed1 and u, differential operation is performed for the chaotic matrix and the secret image to obtain a chaotic differential image, secondly, the position of each pixel in the secret image to be hidden in a public image is determined according to a random sequence obtained by a secret key seed2, and finally, the chaotic differential image is hidden in the public image through a common fusion technique. At the receiving end, the recovery process of the secret image is an inverse process of hiding the secret image at the transmitting end. The method is small in calculated amount and wider in applicable range, and is more reliable and uniform by the aid of chaotic encryption. The secret image before hiding is subjected to differential processing, the recovered secret image is lower in distortion, and the size of the public image does not need to be as same as that of the secret image.

The invention is applicable to the technical field of information security, and provides a picture hiding method, a picture restoring method, a picture restoring device and a terminal device. The invention comprises the following steps: dividing pixel points of a read privacy picture into blocks with designated size; DCT blocks of a specified size; extracting a preset amount of data to be hidden from all blocks with designated size after DCT transformation to obtain data columns of all data to be hidden; calculating the size of the data column; calculating a hidden capacity of the read auxiliary picture according to a preset hidden policy; comparing the size of the data column with the hiding capacity of the auxiliary picture to determine whether the hiding capacity of the auxiliary picture meets the hiding requirement; if so, a bar code is generated according to the width and height of the auxiliary picture; replacing the data to be hidden in the data column with the pixel values of the same number in the auxiliary picture to obtain a first hidden picture; a bar code being superimposed on the first hidden picture to obtain a second hidden picture. The method can effectively realize picture hiding.

The invention discloses a multi-image hiding method based on secret sharing, and belongs to the field of information security. The invention provides a multi-image hiding method based on secret sharing in order to protect the safety of hidden image content, improve the algorithm robustness and expand the hiding capacity. The method comprises the following steps of: firstly, partitioning k carrierimages, scrambling image blocks by using two-dimensional Zig transform, and respectively mapping the scrambled image blocks from a spatial domain to a discrete cosine transform (DCT) domain; secondly,embedding the hidden image bits into k carrier images by using an additive spread spectrum algorithm or a multiplicative spread spectrum algorithm; and finally, mapping the disguised DCT coefficientsback to a spatial domain, performing scrambling recovery on the image blocks by using two-dimensional zigzag inverse transformation, and splicing the image blocks according to an original sequence toobtain k disguised images. Experiments show that the algorithm is efficient, good in embedding effect, large in hiding capacity, high in robustness and high in safety.