Title :
Edge-preserving noise filtering based on adaptive windowing
Author :
Song, Woo-Jin ; Pearlman, William A.
Author_Institution :
Polaroid Corp., Cambridge, MA, USA
fDate :
8/1/1988 12:00:00 AM
Abstract :
An adaptation procedure is introduced for determining in real-time the extent on the analysis window in point estimation of signals corrupted by additive noise. In the tasks of restoring a noisy one-dimensional test signal and a two-dimensional noisy image, mean, median and minimum-mean-square-error filters are compared with fixed and adaptive window implementations. The visual results of the signal and image restorations exhibit superior preservation of edge and detail and suppression of noise for the filters with adaptive windows
Keywords :
filtering and prediction theory; interference suppression; picture processing; random noise; signal processing; adaptive windowing; additive noise corrupted signals; image restorations; noise suppression; noisy one-dimensional test signal; point estimation; real-time; signal-restoration; two-dimensional noisy image; Adaptive filters; Additive noise; Filtering; Image processing; Image restoration; Military computing; Signal analysis; Signal processing; Smoothing methods; Systems engineering and theory;
Journal_Title :
Circuits and Systems, IEEE Transactions on
