کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
455181 695347 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Progressive decision-based mean type filter for image noise suppression
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Progressive decision-based mean type filter for image noise suppression
چکیده انگلیسی

A novel progressive decision-based mean (PDM) filter is proposed to restore images corrupted by random-valued impulse noise. An impulse detection algorithm based on the Dempster–Shafer (D–S) evidence theory is used before filtering. This work presents a new approach to automatically determine mass functions for the D–S evidence theory using the feature information provided by the filter window. Decision rules can determine whether noise exists based on the noise-corrupted belief value. The impulse detection and the noise filtering procedures are progressively applied through several iterations. Finally, the input pixels are identified as either noise-free or noise-corrupted, and only the noise-corrupted pixels in corrupted images are replaced by the mean value of the noise-free pixels in the filter window. Extensive simulation results have demonstrated that the proposed algorithm significantly outperforms other median-based filters.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Standards & Interfaces - Volume 30, Issue 3, March 2008, Pages 106–114
نویسندگان
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