12 results about "Arnold transformation" patented technology

The invention provides a UAV image transmission chaotic encryption secure transmission method and device, and the method comprises the steps: 1, inputting an original image, recording the original image as I, and decomposing the original image into three RGB two-dimensional matrixes; 2, selecting an initial value, generating a three-dimensional matrix according to a definition formula of an old system chaos sequence, and then layering the three-dimensional matrix into three two-dimensional matrixes; step 3, performing Arnold transformation on the two-dimensional matrix of each layer to obtain a final encryption key matrix; 4, adjusting the sizes of the three RGB two-dimensional matrixes to adapt to the key matrix; and step 5, after the ground base station obtains the initial value of the system and the encrypted image, three decryption key matrixes are obtained through the same steps, and original matrixes, namely three RGB two-dimensional matrixes, are obtained through XOR decryption. According to the invention, high randomness and security are provided, and image data are prevented from being intercepted and tampered.

The invention discloses a remote sensing image zero watermarking method based on a multichannel pulse coupling neural network. According to the method, firstly, all wave bands of a remote sensing image are input into a multi-channel pulse coupling neural network model for parallel processing, and the model is optimized and excited by adopting a multi-scale morphological gradient and a differential box dimension, so that the accuracy and robustness of feature extraction are improved. And then, the extracted features are encrypted by using asymmetric Tent mapping, and the watermark image and the encrypted feature image are scrambled according to generalized Arnold transformation, so that the security of the algorithm is improved. And finally, performing XOR operation on the scrambled watermark image and the feature image to generate a zero watermark, and storing the zero watermark in an interstellar file system (IPFS). The method has relatively high robustness on non-geometric watermark attacks and geometric watermark attacks of common remote sensing images, and provides reliable guarantee for security management and copyright protection of the remote sensing images.

The invention discloses an image encryption method and device, a program product and a medium, relates to the technical field of image processing, and provides an image encryption method aiming at the problem of insufficient security of image encryption by a traditional RNA (Ribonucleic Acid) algorithm to realize image encryption through combination of Arnold transformation and an RNA encryption algorithm. Moreover, in the image encryption process, a chaotic sequence is used to determine control parameters of Arnold transformation and a scrambling rule and a diffusion algorithm of an RNA encryption algorithm, so that the unpredictability of the algorithm is increased, and the encryption effect is improved. The chaotic system is high in key stream generation speed, sensitive to initial conditions and suitable for generating high-complexity keys at low cost. And the RNA encryption algorithm can quickly search the optimal encryption parameter, so that the calculation redundancy is reduced. The image encryption scheme provided by the method is high in complexity, relatively large in key space and good in security, can resist various attacks, and has very considerable application prospect and value for encryption transmission of the image.

The application relates to a light wavelet enhancement fusion medical image segmentation method, and belongs to the technical field of medical image processing and computer-aided diagnosis. The core of the method is to construct a light WEF-Net network, which comprises an encoder, a bottleneck layer and a decoder. The encoder adopts a dual-domain perception module, extracts complementary features from the frequency domain and the time domain through wavelet transformation and convolution, and simultaneously extracts complementary features from the frequency domain and the time domain. The bottleneck layer is designed with a feature aggregation Kolmogorov-Arnold transformation module, which is used for efficiently fusing multi-scale semantic information and enhancing the nonlinear modeling capability. The network level also integrates a sawtooth rolling feature fusion module, which enhances the global continuity of the features through the channel rolling and spatial scanning mechanism to improve the integrity of the boundary segmentation. Experiments show that the method realizes excellent performance on multiple public medical image datasets, while maintaining low parameter quantity and low computational quantity, and significantly improves the segmentation precision.

The present invention belongs to the field of geographic information security technology, and specifically relates to a vector geographic data encryption method and decryption method based on three-dimensional Arnold transformation. The method first obtains vector geographic ciphertext data, and then determines the vector geographic plaintext data corresponding to the vector geographic ciphertext data based on the constructed three-dimensional Arnold inverse transformation formula. The encryption method of the present invention is based on the three-dimensional Arnold transformation, which can convert vector geographic plaintext data into vector geographic ciphertext data. On the basis of not changing the original data structure, the vector geographic data is geometrically scrambled based on spatial transformation. It has the characteristics of simplicity, high scrambling degree, fast encryption speed, complete reversibility and resistance to enumeration attacks, and provides a performance-balanced, lightweight and efficient scrambling encryption protection option for vector geographic data encryption. The decryption method is the inverse process of the encryption method, which can simply and quickly convert vector geographic ciphertext data into corresponding vector geographic plaintext data to achieve data restoration and decryption.

The invention discloses a document image watermark adding and tampering detection method based on Chebyshev and Arnold. The watermark adding method comprises the following steps: converting a digital paper file into an image file; performing Arnold transformation on the image to obtain a scrambled image xi; converting the image xi into a Ycbcr color space, and extracting a Y channel; two-dimensional Chebyshev transformation is carried out on the Y channel; keeping coefficients greater than a set threshold value mu, and setting the rest coefficients to be zero; performing Chebyshev inverse transformation on the processed Y channel, replacing the processed Y channel into a Y channel in a Ycbcr space, converting the Y channel back to an image, and performing Arnold inverse transformation; and performing Chebyshev inverse transformation on the part of which the coefficient is smaller than a set threshold value mu, and forming encrypted global summary information by extracting noise level features. According to the method, the image storage overhead is hardly increased after the watermark is embedded, and the storage smaller than the original file in size can be obtained under partial conditions, so that the storage and transmission cost is effectively reduced.

The invention discloses an electronic bidding document tamper-proofing method based on an improved DCT (Discrete Cosine Transform) algorithm, which relates to the technical field of electronic bidding documents, and comprises the following steps: S1, extracting n images containing main bidding document information, and numbering the n images in sequence from 1 to n; and S2, scrambling and encrypting the main information images of the bidding document by using an Arnold transformation algorithm in sequence, and embedding the scrambled images into the original bidding document picture. According to the electronic bidding document tamper-proofing method based on the improved DCT algorithm, the coefficient of the improved DCT algorithm is used for assisting positioning of an image tampering area, so that information in the electronic bidding document has the advantages of being non-tampering and fair in anti-counterfeiting, reliable electronic bidding document data embedded with highly-hidden tamper-proofing security measures are obtained, and the method is suitable for being applied to the electronic bidding document. Whether the bid inviting data can be used as a credible detection basis in purchase compliance detection is conveniently judged, the supervision intensity is improved, and the cost is reduced. When a dispute occurs, proof giving and tracing become clearer and easier, and the problems of bidding document data tampering and the like are solved.

The application relates to a video encryption method and device based on a linear fractional order hyperbolic equation and a storage medium, and the method comprises the following steps: S01) acquiring all image frames of a to-be-encrypted video, and performing normalization processing on the all image frames; S02) performing segmentation on the image frames, and performing Arnold transformation and gray scrambling operation on data information of each group of image frames after the segmentation; S03) performing encryption on the data information by using a linear fractional order hyperbolic equation encryption model; S04) performing an exclusive or operation on the encrypted data information based on a chaotic sequence to obtain ciphertext data; and S05) arranging the ciphertext data according to an initial arrangement order of the image frames. The application solves the problem that the solving efficiency of an encryption model of a fractional order partial differential equation used for video encryption in the prior art is low, and greatly increases the stability of the video encryption and decryption process.

The invention discloses a chaos-based composite image encryption method. The method comprises the following steps: 1) establishing a Logistic chaos mapping formula; 2) decomposing the image into a red component, a green component and a blue component; (3) setting values of parameters x0 and alpha, respectively taking x0 and alpha as secret values of the two communication parties, randomly generating a group of chaotic sequence values according to a Logistic chaotic mapping formula, taking the group of chaotic sequence values as sequence values of Arnold transformation matrix parameters a and b, and respectively taking a and b as public values of the two communication parties; 4) changing the initial position of each pixel point in each color component according to an image replacement formula; 5) randomly generating another group of chaotic sequence values according to a Logistic chaotic mapping formula, multiplying the group of chaotic sequence values by the pixel points respectively, and diffusing the graph of each color component to form an encrypted image of each color component; and 6) combining the encrypted color component images into an encrypted image.

The invention belongs to the technical field of image information security, and discloses an image encryption method, system and decryption method based on DNA coding and Arnold transformation. The encryption method comprises the following steps: firstly, segmenting an original image into a plurality of non-overlapping sub-blocks with 2 * 2 pixels, then converting binary pixel values in each sub-block into a DNA base sequence according to a predefined mapping rule, generating a random DNA base sequence through a secret key k1, and carrying out XOR operation to generate modulated encrypted sub-blocks. Then, generating a scrambling sequence through the secret key k2, and carrying out replacement operation on pixel positions in the encrypted sub-blocks; and finally, Arnold transformation is carried out on the scrambled encryption sub-blocks, the global position of pixels is changed, and a final encryption image is generated. The invention further provides a corresponding decryption method and encryption system, through combination of DNA coding and Arnold transformation, multi-level encryption of the image is achieved, the security and practicability of image encryption are improved, and various attack means are effectively resisted.

The present invention discloses a transmission method, device and storage medium based on input-output system files, and relates to the technical field of firmware update, including: performing Arnold transformation on the original binary based on input-output system files to be transmitted to obtain the transformed binary based on input-output system files; using a Lagrange polynomial-based secret sharing algorithm to segment the transformed binary based on input-output system files to obtain each plaintext sub-binary file; digitally signing each plaintext sub-binary file to obtain each ciphertext sub-binary file; distributing each sub-binary file pair consisting of each plaintext sub-binary file and each ciphertext sub-binary file to each secret participating terminal; using each secret participating terminal to transmit each sub-binary file pair. The present invention improves the security factor of the binary based on input-output system files during transmission, and ensures the authenticity, integrity and concealment of the binary based on input-output system file transmission.

The invention provides a hyperchaotic image encryption method based on magic cube three-dimensional space parallel rotation scrambling, and the method comprises the steps: generating a pseudo-random sequence as a preprocessing parameter, an Arnold transformation parameter and a magic cube scrambling parameter through a seven-dimensional hyperchaotic system, and carrying out the preprocessing of an R channel, a G channel and a B channel of a plaintext image through the pseudo-random sequence, the Arnold transformation parameter and the magic cube scrambling parameter, then, Arnold transformation is controlled by a pseudorandom sequence to scramble the preprocessed image so as to improve the defect that data aggregation easily occurs during subsequent scrambling of the three-dimensional magic cube, then, an obtained two-dimensional chaos matrix is converted into a three-dimensional matrix, a rotating shaft, the number of rotating layers and the rotating angle are dynamically selected by the pseudorandom sequence, and the three-dimensional chaos matrix is obtained. And parallel rotation scrambling of the magic cube three-dimensional space is carried out. According to the method, the image pixel values are mapped to all the small cubes contained in the whole Rubik's cube for three-dimensional space scrambling, and the characteristics of the three-dimensional structure of the Rubik's cube are better utilized, so that the scrambling complexity is improved, the safety of the ciphertext image is improved, the key space is larger, and the scrambling effect is better.