ABSTRACT Owing to local linear model, guided image filter may contain from ringing artefacts. A modified guided image filter based on data mining techniques and decomposition is proposed in this paper. Image is split into patches, passing through the guided filter, clustered into number of clusters and transformed into compact domain using principal component analysis. Edges are preserved and halo artefacts are removed using detail enhancement based on weighted least square. Simulation results demonstrate the strength of the proposed technique as compared with other techniques especially around the edges where noise and halo artefacts may be present in the image.

中文翻译：

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使用数据挖掘和分解的引导图像过滤

摘要 由于局部线性模型，引导图像滤波器可能包含振铃伪影。本文提出了一种基于数据挖掘技术和分解的改进引导图像滤波器。图像被分割成小块，通过引导过滤器，聚集成多个簇并使用主成分分析转换为紧凑域。使用基于加权最小二乘法的细节增强保留边缘并去除光晕伪影。仿真结果证明了所提出的技术与其他技术相比的优势，尤其是在图像中可能存在噪声和光晕伪影的边缘周围。