Bioinspired Algorithms and Applications in Image Fusion

The preying strategies in animals and other living creatures have motivational intelligence which can be implemented significantly in computer algorithms designed for image fusion which is an eminent image processing technique. The research contributed in this book is the designing of few methodologies for the pixel type fusion of two magnetic resonance images harnessing the traits of different genres of discrete wavelet transform and Bayesian model. The parameters of this estimation model are then optimized employing distinctive nature encouraged optimization algorithms, for instance bird swarm algorithm (BSA), etc. to have an optimized fused image with peerless performance.

Autorentext

Dr. Jayant Bhardwaj and Dr. Pawan Sharma are working as Faculty in Bhagwan Parshuram Institute of Technology, Delhi with the department of ECE from a decade. There area of research is signal processing and wavelet theory. Dr. Jayant completed his B. Tech from GGSIPU, Delhi and M.Tech from DTU, Delhi. Later he completed his PhD from GGSIPU, Delhi.