Title :
Nonlinear filtering using generalized subband decomposition
Author :
Anandakumar, K. ; Kassam, Saleem A.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
This paper addresses a nonlinear restoration technique based on generalized multiresolution decomposition. The input signal corrupted by impulsive and nonimpulsive noise is decomposed into multiresolution bands using order statistic (OS) filters. Then nonlinear filtering is performed on these bands using denoising techniques. Simulations show that this scheme has better edge and sharp feature preservation, and better noise reduction properties compared to other OS filter based techniques
Keywords :
edge detection; filtering theory; image resolution; image restoration; interference suppression; nonlinear filters; smoothing methods; denoising techniques; edge preservation; generalized multiresolution decomposition; generalized subband decomposition; image processing; impulsive noise; noise reduction properties; nonimpulsive noise; nonlinear filtering; nonlinear restoration technique; order statistic filters; sharp feature preservation; Additive noise; Filtering; Gaussian noise; Noise reduction; Nonlinear filters; Signal processing; Signal resolution; Signal restoration; Smoothing methods; Statistics;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529726
