1 November 1991 Design of minimum MAE generalized stack filters for image processing
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bing Zeng, Bing Zeng, Moncef Gabbouj, Moncef Gabbouj, Yrjo A. Neuvo, 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); doi: 10.1117/12.50360; https://doi.org/10.1117/12.50360


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