This paper presents a novel type of a filter bank for image decomposition that incorporates “singular spectrum analysis” (SSA). SSA is based on “singular value decomposition” (SVD).The presented filter banks provide good directional selectivity. Sub-band images highlight exposed directional features such as 0^∘,90^∘,+ 45^∘, and − 45^∘ of the input image. The proposed method can be seen as a tool to separate an image into layers or to present an image as a sum of its high-frequency directional components and a low-frequency approximation.

中文翻译：

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基于奇异谱分析的图像子带分解滤波器组

本文提出了一种新型的用于图像分解的滤波器组，其中包含“奇异频谱分析”​​（SSA）。SSA基于“奇异值分解”（SVD）。提出的滤波器组具有良好的方向选择性。子带图像突出显示暴露的定向特性，如0 ^∘，90 ^∘，+ 45 ^∘，和- 45 ^∘输入图像的。所提出的方法可以看作是一种将图像分成几层或将图像作为其高频方向分量和低频近似值之和呈现的工具。