EEDC image compression enhancement by symbol prediction

This article investigates the possibility of analyzing the input image data in order to maximize image compression. Edge enhancing diffusion image compression (EEDC) is the basis of this research. Entropy coders by themselves are restricted and can only achieve limited compression. Input data analysis and preparation for entropy coding is used in order to reduce the number of bits needed for image compression. By using symbol prediction the important space in sequence of bits is saved, i.e. the space in which we can add more data for better image interpolation.