Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "Large parameter range" patented technology

Image encryption method based on new non-adjacent dynamic coupling mapping lattice and cross scrambling

PendingCN119496859ALarge parameter rangeChaotic performance is goodChaos modelsNon-linear system modelsTransformation algorithmImage pair
The invention discloses an image encryption method based on a new non-adjacent dynamic coupling mapping lattice and cross scrambling. The method comprises the following steps: acquiring an image to be processed; preprocessing an image to be processed to obtain parameters and initial values required by an encryption process; generating a chaotic sequence based on the parameters and the initial value required by the encryption process; adopting a cross traversal algorithm, selecting different central points and traversal directions of the image to perform preliminary scrambling on positions of image pixels, and obtaining an initial scrambling image; a random cross transformation algorithm is adopted to perform scrambling and diffusion operation based on the initial scrambling image, the pixel position of the image is changed, the pixel value of the image is preliminarily changed, and a semi-encrypted image is obtained; and carrying out secondary diffusion on the semi-encrypted image by adopting a bidirectional disturbance index diffusion algorithm to obtain an encrypted image. According to the method, corresponding attacks can be effectively resisted, and good safety is achieved; and the time efficiency is relatively high.
Owner:DALIAN MARITIME UNIVERSITY

An improved cross-coupled mapping lattice-based complementary embedded image encryption method

The application provides a complementary embedding image encryption method based on an improved cross-coupled mapping lattice, which comprises the following steps: establishing an improved sine cross-coupled mapping lattice model; based on a plaintext image, generating a secret key by SHA-384 and an original image, and calculating model parameters and initial values according to the secret key; detecting the plaintext image, identifying and obtaining airport coordinates, randomly selecting a coordinate point, and obtaining a visual confusion image through a complementary embedding algorithm; iterating the established sine cross-coupled mapping lattice model to obtain a matrix, converting the matrix into a one-bit array, taking the last rxc data to obtain b; distributing an initial matrix and iterating to an appropriate size to obtain a fractal disorder matrix; selecting the first r rows and the first c columns to form a one-dimensional array, sorting the one-dimensional array to obtain an index array; performing synchronous dynamic scrambling and diffusion operations on three channels R, G and B in a color image respectively to obtain a sub-encrypted image corresponding to each channel. The sub-encrypted images are assembled into a final encrypted image C.
Owner:DALIAN MARITIME UNIVERSITY