Research on Intelligent Image Scrambling Transform Encryption Algorithm Based on Big Data Analysis
Tang Ting · 2021
In order to improve the encryption ability of scrambling transformation of high-resolution knowledge map remote sensing image, a scrambling transformation encryption model of high-resolution knowledge map remote sensing image based on big data analysis and multi feature fusion is proposed. The edge pixel feature analysis model of high-resolution knowledge map remote sensing image is constructed. The edge pixel feature distributed reorganization method is used to realize the pixel structure reorganization. The image is processed by multispectral parameter big data fusion and chaos quantization linear feature analysis. The image encryption key feature analysis is realized by using the combination control method of shallow feature map. The personalized features extracted from image are identified by using intelligent image scrambling transform encryption algorithm, and the multilevel feature analysis model of image scrambling transform encryption is established. The simulation results show that the method has high adaptability and good scrambling performance, and improves the ability of fusion encryption and feature recognition of high-resolution knowledge map remote sensing image.