彩色图像增强的正向和反向各向异性扩散滤波

B. Smolka, M. Szczepański
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引用次数: 5

摘要

提出并评估了一种新的边缘保持平滑方法,该方法允许将图像分解为一组均匀区域。该算法基于前向和后向各向异性扩散的结合,并结合了随时间变化的冷却过程。该方法能够有效地去除图像噪声,同时保持和增强图像的边缘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forward and backward anisotropic diffusion filtering for color image enhancement
A novel approach to the problem of edge preserving smoothing, which allows an image to be broken into a set of homogeneous regions, is proposed and evaluated. The new algorithm is based on combined forward and backward anisotropic diffusion with an incorporated time dependent cooling process. This method is able to remove image noise efficiently while preserving and enhancing image edges.
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