On the edge preserving smoothing filter

Author

Hung, Chih-Cheng

Author_Institution

Dept. of Math. & Comput. Sci., Alabama A&M Univ., Normal, AL, USA

fYear

1997

fDate

12-14 Apr 1997

Firstpage

146

Lastpage

147

Abstract

An improvement on the gradient inverse weighted (GIW) filter for digital image smoothing is proposed. The selection of the optimal homogeneous neighboring pixels for spatial smoothing is achieved through the integration of directional masks and the adaptation of the selected subregion based on local statistics of the image data. This adaptive approach is effective in smoothing images containing complex-shaped objects such as remotely sensed imagery. Experimental results and the comparison with Tomita´s (1977) filter, Nagao´s (1979) filter, and the GIW filter are also presented

Keywords

adaptive filters; adaptive signal processing; edge detection; image enhancement; image segmentation; nonlinear filters; smoothing methods; Nagao´s filter; Tomita´s filter; adaptive approach; complex shaped objects; digital image smoothing; directional masks; edge preserving smoothing filter; experimental results; gradient inverse weighted filter; image data; image enhancement; local statistics; nonlinear filtering algorithm; optimal homogeneous neighboring pixels; remotely sensed imagery; spatial smoothing; subregion adaptation; Adaptive filters; Computer science; Digital filters; Digital images; Electronic mail; Mathematics; Noise shaping; Pixel; Shape; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '97. Engineering new New Century., Proceedings. IEEE

Conference_Location

Blacksburg, VA

Print_ISBN

0-7803-3844-8

Type

conf

DOI

10.1109/SECON.1997.598630

Filename

598630