Title :
Selective median filters
Author :
Ko, S.J. ; Lee, Y.H. ; Fam, A.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
Novel edge-enhancing filters called the selective average (SA) and the selective median (SM) filters are proposed. It is shown theoretically and experimentally that these filters enhance blurred edges while attenuating noise. Root structures of the SA and SM filters are studied. An efficient implementation of the SA filter that requires only one multiplier, four additions, and one comparison irrespective of the filter length is introduced. Comparisons of the SA and SM filters with other edge-enhancing techniques indicate that the proposed filters are simpler to implement, and that they perform better than the others.<>
Keywords :
digital filters; picture processing; blurred edges; digital filters; edge-enhancing filters; image processing; selective average filters; selective median filters; Computed tomography; Filtering; Image converters; Image edge detection; Noise reduction; Nonlinear filters; Samarium;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
DOI :
10.1109/ISCAS.1988.15213
