An asymmetric image encryption algorithm based on integer wavelet transformation and elliptic curve cryptography

In this paper, we propose a robust asymmetric image encryption algorithm that integrates integer wavelet transformation (IWT) with elliptic curve cryptography (ECC). The scheme first applies the IWT to decompose the input image into sub-bands, effectively capturing both spatial and frequency domain features. Subsequently, the significant coefficients are selectively encrypted using ECC to achieve high security and efficient key management. The proposed algorithm leverages the inherent advantages of IWT for effective image representation and the robust security features of ECC, which provides smaller key sizes compared to traditional RSA-based systems while ensuring comparable security. Extensive experimental results, including statistical analyses such as histogram uniformity, correlation coefficients, and entropy metrics, demonstrate the algorithm’s resilience against various attacks, including differential and brute-force attacks. The proposed method thus ensures secure image transmission while maintaining computational efficiency, making it suitable for real-time multimedia security applications.