Design of minimum MAE generalized stack filters for image processing

Bing Zeng; Moncef Gabbouj; Yrjo A. Neuvo

doi:10.1117/12.50360

1 November 1991 Design of minimum MAE generalized stack filters for image processing

Bing Zeng, Moncef Gabbouj, Yrjo A. Neuvo

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50360
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

Design of optimal generalized stack filters (GSFs) under the mean absolute error (MAE) criterion suffers from two bottlenecks, that is, the design procedure depends on the joint statistics of the signal and noise processes that are rarely known and calls for a huge linear program (LP). In this paper we suggest efficient approaches to solve these problems. First, we present a method of estimate, based on training sequences, all the probabilities needed during the filter design procedure. Then, we introduce an algorithm that only involves data comparisons exclusively, but results in optimal filters in most practical cases. Design examples for image restoration from impulsive noise are provided.

Citation Download Citation

Bing Zeng, Moncef Gabbouj, and Yrjo A. Neuvo "Design of minimum MAE generalized stack filters for image processing", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50360

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