基于RBFN检测器的脉冲噪声增强改进方案

Subrajeet Mohapatra, Ratnakar Dash, P. K. Sa, B. Majhi
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引用次数: 7

摘要

在大多数图像处理应用中,噪声平滑和图像增强是相互冲突的,为了保证图像的质量,必须对噪声平滑和图像增强进行适当的处理。通过修改高频分量使其在图像中具有更好的边缘和细节信息,可以显著改善图像的感知外观。提出了一种简单的方法来改善现有的不锐利掩模技术的缺陷,在保留边缘的同时去除脉冲噪声,为视觉感知提供更好的对比度。对不同噪声条件下的标准图像进行对比分析,结果表明,该方案总体上优于现有方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise
Since noise smoothing and image enhancement are conflicting objectives in most image processing application, so it has to be dealt properly to preserve the quality of the image. The perceptual appearance of an image may be significantly improved by modifying the high frequency components to have better edge and detail information in the image. A simple method has been proposed to improve the pitfalls of the existing unsharp mask technique which removes impulsive noise while preserving the edges and provides better contrast for visual perception. Comparative analysis on standard images at different noise conditions shows that the proposed scheme, in general, outperforms the existing schemes.
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