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Adaptive geometric features based filtering impulse noise in colour images

机译:基于自适应几何特征的彩色图像滤波脉冲噪声

摘要

An adaptive geometric features based filtering (AGFF) technique with a low computational complexity is proposed for removal of impulse noise in corrupted color images. The effective and efficient detection is based on geometric characteristics and features of the corrupted pixel and/or the pixel region. A progressive restoration mechanism is devised using multi-pass non-linear operations. Through extensive experiments conducted using a wide range of test color images, the proposed filtering technique has demonstrated superior performance to that of well-known benchmark techniques, in terms of objective measurements, the visual image quality and the computational complexity.
机译:提出了一种具有低计算复杂度的自适应几何特征滤波(AGFF)技术,用于去除损坏的彩色图像中的脉冲噪声。有效和高效的检测基于损坏像素和/或像素区域的几何特征和特征。使用多遍非线性运算设计了一种渐进式恢复机制。通过使用各种各样的测试彩色图像进行的广泛实验,在客观测量,视觉图像质量和计算复杂性方面,所提出的滤波技术已表现出优于知名基准技术的性能。

著录项

  • 作者

    Xu Z; Qiu B; Wu H; Yu X;

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  • 年度 2008
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