Morphological compression of grayscale images of text

A new method for compression of grayscale images containing a small number of graphical elements is proposed. The method is characterized by high compression ratios, small losses, and good readability of the processed images. It is based on morphological methods of image analysis and could be used to store images of documents produced by fax machines, scanners, etc. Igor I. Falomkin. Born 1979. Graduated from the Faculty of Physics, Moscow State University, in 2001. Scientific interests: image analysis and recognition, analysis and interpretation of experimental data.