Image encryption using wavelet based chaotic neural network

Cryptography is a process which consists of two parts that are called as encryption and decryption processes. The encryption process can be defined as converting the original message which is named as plain-text to an inscrutable form which is named as cipher-text by an algorithm with secret keys.The model for encryption and decryption of an image is proposed here with the objectives to have confidentiality and security in transmission of the image based data. The chaos and wavelet based cryptographic algorithms and have suggested some new and efficient ways to develop secure image encryption techniques.The behavior of system is verified with different key values at the receiver end to study the relation among plain image and cipher image. Histogram uniformity is also studied to check tonal distribution.

Autorentext

Sushil Kumar was born in Uttar Pradesh, India in 1984. He received his Ph.D. in bioinorganic chemistry with Professor Kaushik Ghosh at Indian Institute of Technology Roorkee, India in 2013. He is currently a postdoctoral fellow at UFC, France. Studies on photolabile metal nitrosyl complexes and hemilabile sulfur ligands are focus of his research