Performance comparison of Image Noise Reduction and Filtering Algorithms
الملخص
Abstract: Image noise poses a significant challenge in digital image processing, impacting the quality and reliability of various applications. To address this issue, researchers have developed a multitude of noise removal techniques. In this article, we propose a Modified Wiener filter as a novel approach to combat image noise. Additionally, we explore and compare its performance with other well-known noise removal techniques, including the Adaptive Lee filter, adaptive median filter, and adaptive Wiener filter. By examining the unique characteristics, advantages, and limitations of each method, we aim to provide valuable insights into their effectiveness and applicability in real-world scenarios
الكلمات المفتاحية:
adaptive Wiener filter
Modified Weiner Filter
, Adaptive Lee filter
adaptive median filter
كيفية الاقتباس
Khaled Almarimi, Ibrahim Elwarfalli, & Moammer H.Daw. (2023). Performance comparison of Image Noise Reduction and Filtering Algorithms. مجلة جامعة بني وليد للعلوم الإنسانية والتطبيقية, 8(3), 476-485. https://doi.org/10.58916/jhas.v8i3.182
إصدار
القسم
Article
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