Multi-image encryption and decryption method and computer-readable storage medium
An encryption method and multi-image technology, applied in the field of information security, can solve the problems affecting the quality of decrypted images, interference, etc., and achieve the effect of high security and robustness
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0100] Please refer to Figure 1-2 , Embodiment 1 of the present invention is: a kind of multi-image encryption method, comprises the following steps:
[0101] S101: Perform scrambling on multiple images to be encrypted respectively; further, perform Arnold transform scrambling on multiple images to be encrypted respectively.
[0102] The Arnold transform achieves the encryption effect by changing the position of each pixel in the image. The algorithm is simple and periodic, and it is a widely used information hiding technology. Specifically, assuming that (x, y) represents the position of the pixel before transformation, and (x', y') represents the position of the pixel after transformation, for a digital image of N×N size, the mapping relationship between the positions is as in the first As shown in the formula, where Mod represents the remainder operation.
[0103] First formula:
[0104] S102: Place the multiple scrambled images to be encrypted respectively on cross-s...
Embodiment 2
[0127] Please refer to Figure 4-5 , this embodiment is a multi-image decryption method corresponding to Embodiment 1, comprising the following steps:
[0128] S201: Perform Fourier transform on the real-valued coded encrypted image to obtain a complex object light wave; that is, extract the complex-valued signal ψ(x, y) after performing Fourier transform on the real-valued signal.
[0129] S202: According to the second light wavelength and the distance from the second observation plane to the first observation plane, perform Fresnel inverse diffraction calculation on the object light wave to obtain Fresnel inverse diffraction light wave;
[0130] S203: According to the second random phase template, the first light wavelength corresponding to each section, and the distance from each section to the first observation plane, perform Fresnel inverse diffraction calculation on the Fresnel inverse diffraction light wave to obtain the Fresnel inverse diffracted light wave; specifica...
Embodiment 3
[0150] This embodiment is a further extension of the foregoing embodiments.
[0151] In order to measure the quality of the enlarged image, evaluation indicators such as mean square error, brightness error, spectral flatness, and structural similarity are used, and the row and column directions are each enlarged by K times, and the enlarged image is divided into K×K sizes. A pixel of corresponds to a K×K size image block in the enlarged image. Suppose the original image is X(m,n) and the size is M pixel ×N pixe , the enlarged image is Y(m',n'), 1≤m'≤KM-1, 1≤n'≤KN-1, defined
[0152]
[0153] normalized mean square error
[0154] Normalized Luminance Error
[0155] Spectrum flatness
[0156] Among them, F(m,n) represents the image spectrum.
[0157] In order to measure the similarity between two signals, a correlation coefficient and a structure similarity function are introduced; for two signals f1 and f2, define
[0158] normalized cross-correlation coefficien...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com