期刊名称：EURASIP Journal on Advances in Signal Processing
印刷版ISSN：1687-6172
电子版ISSN：1687-6180
出版年度：2020
卷号：2020
期号：1
页码：1
DOI：10.1186/s13634-020-00685-4
出版社：Hindawi Publishing Corporation
摘要：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.
关键词：Singular spectrum analysis ; Singular value decomposition ; Directional selectivity ; Filter bank ; Wavelet transform ; Sub-band decomposition
