Noise suppression based on the fractal dimension estimates

The paper draws on the problem of noise reduction in binary images. Noise suppression plays very important role in the automated document analysis, since corrupted pictures may drastically reduce efficiency of the recognition process. The fractal based technique is one of the most recent approaches in computer vision. The fractal dimension estimates are incorporated in a highly efficient filtering scheme. The method is presented along with the images illustrating the most promising results.