Application of partition-based median type filters for suppressing noise in images

An adaptive median based filter is proposed for removing noise from images. Specifically, the observed sample vector at each pixel location is classified into one of M mutually exclusive partitions, each of which has a particular filtering operation. The observation signal space is partitioned based...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 10; no. 6; pp. 829 - 836
Main Authors:	Chen, Tao, Wu, Hong Ren
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.06.2001 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive filters Applied sciences Computer science Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering Gaussian noise Image processing Impulses Information, signal and communications theory Least squares approximation Mathematical analysis Noise Noise robustness Nonlinear filters Pixels Position (location) Retarding Signal and communications theory Signal processing Signal, noise Software engineering Statistics Studies Telecommunications and information theory Vectors Vectors (mathematics) Performance evaluation Partition method Simulation Image processing Noise reduction Adaptive filter Median filter Optimization Non linear filtering Least mean squares methods
ISSN:	1057-7149, 1941-0042
Online Access:	Get full text
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