A Novel Algorithm for Image Compression Based On Fractal and Neural Networks

Fractal image compression technique which excludes the similarities between different regions of the image takes long time for encoding. An artificial intelligence technique like neural network is used to reduce the search space and encoding time for the MRI images with an algorithm called as back propagation neural network algorithm. Initially, MRI image is divided into ranges and domains of fixed size and the best matched domain is selected for each range block and its range index and best matched domain index are produced which acts as input to the expert system which results reduced set of matched domain blocks. Now, the search is done only in resulted set of domain blocks with fractal codes as output and decoding process is executed. This paper shows the neural network based FIC which produces high improvement in encoding time without degrading the image quality when compared to normal FIC.