Image Encryption Algorithm Combining Chaotic Image Encryption and Convolutional Neural Network

With the rapid development of information technology, security images has emerged as a significant area research. This study presents an algorithm that integrates chaotic image encryption and convolutional neural network (CNN) to enhance efficiency. The applies properties randomness nonlinear mapping sequences with advanced feature extraction capabilities CNN model achieve robust encryption. First, we outline fundamentals CNN. Chaotic employs sequence generation scramble pixel values for purposes, while CNN, deep-learning local perceptual field weight sharing, effectively extracts high-level features. Subsequently, provide detailed description specific steps involved in combining These include generation, value mapping, extraction, key management. achieves high-strength by performing dissimilarity operations between values, well extracting features using Finally, conduct experimental evaluations compare it traditional methods. results demonstrate exhibits improvements quality offering advantages computational performance encryption/decryption speed.