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A fast efficient restoration algorithm for high-noise-ratio image using feature adaptive approach

机译:一种快速高效的恢复算法,用于使用特征自适应方法的高噪声比图像

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The video signal is easily interfered with by noise over the wireless system. The well-known "median filter" and its modified methods could completely remove the noise when the noise/image ratio is low. However, as this ratio becomes higher, the filtering performance degrades very fast and much of the noise cannot be removed. To resolve the high-noise problem, we propose a novel adaptive algorithm to efficiently reduce noise without visible distortion. The experimental results show that the proposed methods can attain very high quality in a 50% noise environment. Moreover, this adaptive approach also keeps lower complexity in order to meet real time applications.
机译:视频信号通过无线系统的噪声容易被噪声干扰。众所周知的“中值过滤器”及其改进的方法可以在噪声/图像比率低时完全消除噪声。然而,随着该比率变高,滤波性能非常快,不能删除大部分噪声。为了解决高噪声问题,我们提出了一种新的自适应算法,可以有效地降低没有可见失真的噪声。实验结果表明,该方法可以在50%的噪声环境中获得非常高质量的质量。此外,这种自适应方法也保持较低的复杂性,以满足实时应用。

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