Mathematical model makes image encryption more resilient to real-world uncertainty

In today's digital world, everything from medical images and financial records to personal photos and secure communications depends on encryption systems that can protect sensitive information. But real-world technologies rarely operate under perfect conditions. Measurements can be imprecise, hardware introduces small errors, and communication channels are often affected by noise.