Decision-based median filter using local signal statistics

Dinei A. F. Florencio; Ronald W. Schafer

doi:10.1117/12.185969

16 September 1994 Decision-based median filter using local signal statistics

Dinei A. F. Florencio, Ronald W. Schafer

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185969
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Noise removal is important in many applications. When the noise has impulsive characteristics, linear techniques do not perform well, and median filter or its derivatives are often used. Although median-based filters preserve edges reasonably well, they tend to remove some of the finer details in the image. Switching schemes--where the filter is switched between two or more filters--have been proposed, but they usually lack a decision rule efficient enough to yield good results on different regions of the image. In this paper we present a strategy to overcome this problem. A decision rule based on the second order local statistics of the signal (within a window) is used to switch between the identity filter and a median filter. The results on a test image show an improvement of around 4 dB over the median filter alone, and 2 dB over other techniques.

Citation Download Citation

Dinei A. F. Florencio and Ronald W. Schafer "Decision-based median filter using local signal statistics", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185969

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