Data-dependent median filtering with multi-windows for restoration of images corrupted by high probability impulsive noise

被引:0
|
作者
Ishii, H [1 ]
Taguchi, A [1 ]
Okano, M [1 ]
Sone, M [1 ]
机构
[1] Musashi Inst Technol, Dept Elect & Elect Engn, Setagaya Ku, Tokyo 1588557, Japan
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a novel data-dependent median filtering method in order to restore images which are corrupted by 10similar to50% probability impulsive noise. Even if the image which is corrupted by high probability impulsive noise, the degree of impulsive noise is not uniform at each local window. Thus, the suitable window length is changed at each the processed point. And if the processed point is not corrupted by impulsive noise, input signal should be not filtered in order to preserve signal details. From these points of view, the proposed filter combines median filters with multi-windows (1x1 window is included) for preserving the signal details and removing impulsive noise perfectly.
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页码:806 / 810
页数:5
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