Title :
Noise suppression based on the fractal dimension estimates
Author :
Nikiel, Slawomir S.
Author_Institution :
Dept. of Robotics & Software Eng., Tech. Univ. of Zielona Gora, Zielona Gora, Poland
Abstract :
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
Keywords :
document image processing; filtering theory; fractals; image enhancement; interference suppression; automated document analysis; binary images; corrupted pictures; fractal dimension estimates; image filtering; noise reduction; noise suppression; Computer vision; Filtering; Fractals; Image recognition; Noise reduction; Pixel; Robotics and automation; Software engineering; Text analysis; World Wide Web;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560636
