Performance comparison of Image Noise Reduction and Filtering Algorithms
DOI:
https://doi.org/10.58916/jhas.v8i3.182Keywords:
adaptive Wiener filter, Modified Weiner Filter, , Adaptive Lee filter, adaptive median filterAbstract
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
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