Quantum Inspired Evolutionary Algorithms for Image and Video Watermarking

Abstract

Digital images/videos are vast and vital medium of communication in the era of internet and Web. These digital data items are either commercial or scientific and so, protection of this kind of data is more crucial. Commercial images and videos generally have copyright and associated cost with it so security, integrity and authentication of images/videos are the essential requirement and can be done with watermarking. Evolutionary Algorithms (EA) are inspired by the biological genetics process and mimics some of the processes such as selection, crossover and mutation in computation. Quantum Inspired Evolutionary Algorithms (QIEAs) are promising meta-heuristic techniques and new entrants in the field of EAs, more improved than standard heuristic techniques. QIEA uses fundamental concepts derived from quantum mechanics likes quantum bits (qubits), superposition of gates, interference and coherence, etc. Qbits are basic unit that stores the information in QIEAs. It maintains a good balance between search space exploration and exploitation for getting the best or optimal solution. QIEAs are a group of techniques that uses some variations over each other to achieve some good and promising solutions in a very short and small span of time. Proposed work focus on the image and video watermarking problem with the help QEIA and compares the results with GA. This work also analyzes the transform domain and QR code based watermarking techniques while combining it with GA and QIEA. newline