FRACTAL IMAGE COMPRESSION USING NEURAL NETWORKS

Abstract

Image compression is an interesting field in image analysis that has been around for quite a long time now. This field simply aims to reduce the image size and to maintain a good level of their reconstructed image. In the image compression field there have been a lot of techniques about reducing the image size and reconstructing it as close as the original one. Some of those techniques are quite old now and they are still being used. The main problems in image compression field and those techniques is the encoding and decoding time. Meanwhile the compression ratio is quite impressive even for RGB images. One of those techniques is compressing images using fractals. Here we are going to see fractal image compression based on techniques related to calculating partial distance between domain and range blocks and neural network for feature selection.