Title :
On the gradient inverse weighted filter [image processing]
Author_Institution :
Dept. of Electron., Shandong Polytech. Univ., Jinan, China
fDate :
2/1/1992 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
