9 results about "Image hiding" patented technology

The invention discloses an image hiding method based on a space-channel attention mechanism and a related device, and belongs to the technical field of image hiding. The method comprises the following steps: inputting a secret image and a carrier image into a pre-trained image hiding network model to obtain a secret-containing image and loss information, and completing image hiding; the image hiding network model is an image hiding network model based on a space-channel attention mechanism and comprises a preprocessing network, a hiding network and an extraction network; the hidden network takes a reversible neural network as a basic framework, forward propagation and reverse propagation processes of the reversible neural network are modeled as encoding and decoding processes of an image according to the requirement of an image steganography task, and reversible hiding and high-quality extraction of a secret image are realized in combination with DWT (Discrete Wavelet Transform).

The invention discloses a remote sensing image hiding and recovering method and device based on space-frequency collaborative modeling. The method comprises the following steps: acquiring a to-be-hidden remote sensing image and a carrier image; inputting a to-be-hidden remote sensing image and a carrier image into the pre-embedded residual attention module to obtain condition features, and inputting the condition features into the image hiding network to obtain a secret-containing image; performing discrete wavelet transform on the secret-containing image to obtain a high-frequency feature and a low-frequency feature, and inputting the high-frequency feature and the low-frequency feature into a Gaussian cross-frequency fusion module to obtain a dynamic fusion feature; and inputting the dynamic fusion features into a reconstruction recovery module to obtain a secret image. According to the method, the fidelity, the robustness and the detection resistance of the secret image can be improved.

The invention provides a constructive image hiding method based on attribute conversion, and the method comprises the steps: 1, selecting two images with completely different styles as a reference image and a secret image respectively, deconstructing the reference image and the secret image at a hiding end, generating secret-containing content features through a content feature hiding network, and hiding the secret-containing content features in the hidden end; a secret-containing conversion image is further obtained through a generator; 2, the extraction end deconstructs the secret-containing image, obtains the content features of the secret image through a content feature extraction network, and further recovers the secret image through a generator; and step 3, designing an information hiding and image extraction loss function to train the frame until convergence. According to the method, image hiding can be realized while image conversion is carried out, and the method has important prospects and application values in the field of hidden transmission.

The application discloses an image hiding encryption method based on a bidirectional asymmetric nano-printing super surface, and comprises the following specific steps: 1) constructing a nano structure unit; 2) optimizing the structure parameters of two nano bricks through an electromagnetic simulation software according to a selected working wavelength λ; 3) constructing a nano structure array, setting linearly polarized light with a polarization direction α1=π / 2 to be incident on the nano structure array from the upper surface and the lower surface respectively and then passing through a polarizer with a transparent axis direction α2=π / 2, the image information displayed under the two incident conditions is consistent, and the first image can be encoded in the nano structure array; linearly polarized light with an unchanged polarization direction is incident on the nano structure array and then passes through a polarizer with a transparent axis direction α2=0, the image information displayed under the two incident conditions is different, and the second image can be encoded in the nano structure array by adding the two images pixel by pixel, thereby providing a method for image hiding encryption and improving the concealment of the image.

This invention discloses a reversible multi-image hiding method and apparatus based on upsampling. The method selects an appropriate upsampling rate to upsample the carrier image according to the size of the multiple secret images to be hidden, thereby obtaining a target image with sufficient hiding capacity. Common embedding algorithms are then used to hide the multiple images. This invention not only achieves simultaneous hiding of multiple secret images with high capacity but also improves the quality of the disguised image while ensuring lossless recovery of the multiple secret images.

An information processing apparatus including a display control unit that causes an image captured by any of one or a plurality of imaging devices to be displayed in a captured image display region that is a part of a display unit, causes second information related to the one or plurality of imaging devices to be displayed in a captured image hiding region that is a part of the display unit and different from the captured image display region, and causes first information related to the one or plurality of corresponding imaging devices to be displayed in the captured image display region in accordance with the second information being displayed and the one or plurality of imaging devices being in a predetermined state.

This invention relates to an image processing method, including image hiding steps: acquiring a carrier image and converting the carrier image to the frequency domain to obtain a carrier frequency image; acquiring a secret image and converting the secret image to the frequency domain to obtain a secret frequency image; concatenating the carrier frequency image and the secret frequency image to obtain a first concatenated image; performing n consecutive affine transformations on the first concatenated image, corresponding to each affine transformation to obtain n first affine transformed images; concatenating the n first affine transformed images and performing an affine transformation to obtain a second affine transformed image; performing channel compression on the second affine transformed image to obtain a first compressed image; and performing spatial domain transformation on the portion of the first compressed image corresponding to the carrier frequency image to obtain the hidden image. Compared with existing technologies, this method can effectively resist steganalysis and has high security.

The application discloses an image hiding method and device based on compressed sensing and run-length coding. The method first compresses the size of a secret image needing security protection by using compressed sensing technology, then converts the decimal pixel value of the size-compressed secret image into a binary sequence, then compresses the binary sequence by using run-length coding to obtain a numerical sequence with a shorter length, and converts a cover image in a spatial domain into a frequency domain by using integer wavelet transform to obtain four subbands. The numerical sequence compressed twice has a similar form with the high-frequency subband coefficients of the cover image, and can directly replace the high-frequency subband coefficients to complete embedding operation. The application ingeniously combines compressed sensing, run-length coding and high-frequency subband embedding technology, greatly improves the quality of the camouflage image under the premise of ensuring high hiding capacity, and has the advantages of high capacity, low complexity and the like.

This invention provides an image hiding method based on a restricted Boltzmann machine and parallel compressed sensing. The method comprises two stages: encryption and embedding. In the encryption stage, the plaintext image is sequentially subjected to sparse decomposition, image scrambling, and thresholding. Then, a measurement matrix is ​​constructed using a random sequence for parallel compressed sensing. The image is then quantized, followed by further rotation scrambling and random diffusion to obtain the ciphertext image. In the embedding stage, the ciphertext image information is embedded into different wavelet coefficients of the carrier image using wavelet transform, and the embedding depth is dynamically selected based on the random sequence to improve the concealment and security of the embedded information. This invention effectively improves the randomness of the sequence while significantly increasing image processing efficiency, and achieves high-quality image reconstruction at a relatively low compression ratio. Furthermore, the encrypted image generated by this invention exhibits higher resistance to attacks and greater robustness.