首页> 外文会议>ICPR 2012;International Conference on Pattern Recognition >Color-line vector field and local color component decomposition for smoothing and denoising of color images
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Color-line vector field and local color component decomposition for smoothing and denoising of color images

机译:彩色线矢量场和局部颜色分量分解,用于彩色图像的平滑和去噪

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Most conventional smoothing and denoising methods for color images deal with each color channel independently, which results in discolorations due to unbalancing the relation between the color components. In this paper, we propose a smoothing algorithm to reduce discolorations based on ”color-lines”. Our iterative algorithm consists of a local color decomposition step by color-line vectors and an iterative filtering step. Our numerical simulation shows that the method improves image quality with less discolorations while keeping the smoothing capability.
机译:用于彩色图像的大多数常规平滑和去噪方法独立地处理每个颜色通道,由于不平衡颜色分量之间的关系而导致变色。在本文中,我们提出了一种基于“色线”的平滑算法来减少变色。我们的迭代算法由色线矢量的局部颜色分解步骤和迭代过滤步骤组成。我们的数值模拟表明,该方法可在保持平滑能力的同时,以较少的变色改善图像质量。

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