DocumentCode
835096
Title
On the gradient inverse weighted filter [image processing]
Author
Wang, Xin
Author_Institution
Dept. of Electron., Shandong Polytech. Univ., Jinan, China
Volume
40
Issue
2
fYear
1992
fDate
2/1/1992 12:00:00 AM
Firstpage
482
Lastpage
484
Abstract
D.C.C. Wang et al. (1981) presented a gradient inverse weighted (GIW) filter. The proposed noise smoothing scheme is based on the observation that variations of gray levels inside a region are smaller than those between regions. Reducing noise without smearing edges is the advantage of this nonlinear filter. As an improvement of the GIW filter, a new algorithm is introduced. Examples show that it can preserve edges and smooth noise more efficiently
Keywords
filtering and prediction theory; picture processing; GIW filter; edge preservation; gradient inverse weighted filter; gray levels; image processing; noise smoothing scheme; nonlinear filter; Digital filters; Digital signal processing; Error analysis; Finite impulse response filter; IIR filters; Image processing; Multidimensional signal processing; Quantization; Signal processing algorithms; Speech processing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.124968
Filename
124968
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