Image Encryption Using Baker's Map, Ecc With Alphanumeric Flip Transformation

In the world with the rapid expansion of digital communication, the security of visual data has become a critical concern forcing robust encryption mechanisms that ensures confidentiality, integrity, unauthorized access, and resistance to attacks. In this paper, we introduce a novel idea of hybrid image encryption and decryption framework that creates an alphanumeric text which can be used in QR codes, with Base64 and as metadata etc. It uses Baker’s Map which ensures chaotic pixel scrambling, while ECC key generation extracts cryptographic keys directly from encrypted image pixels from baker’s map. Then it produces private key and public key from base point in ECC. Alphanumeric Flip Transformation takes private and public key elements enhancing obfuscation and resistance to attacks. Experimental results show Maximum entropy of , minimal pixel correlation, and improved efficiency compared to existing chaotic-ECC approaches, making the scheme both lightweight and secure for visual data protection.