title: Optimal autoregressive model based medical image compression using genetic algorithm.
abstract: Image compression is the process of removal of redundant data in order to achieve savings in storage and communication costs. A new method for predictive coding of images is proposed using two-dimensional multiplicative autoregressive models. Genetic algorithm is implemented to compute autoregressive parameters. Comparison with other multiplicative autoregressive model based image compression method has also been reported here.
authors.affiliation: Center for Medical Electronics, School of ECE, Anna University, Chennai, India.
authors.forename: M
authors.initials: M
authors.lastname: Sasikala
authors.forename: N
authors.initials: N
authors.lastname: Kumaravel
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging; D007091:Image Processing, Computer-Assisted; D008957:Models, Genetic