Singular spectrum analysis-based image sub-band decomposition filter banks

EURASIP journal on advances in signal processing

article

Evers, Julia¹  Evers, Florian²  Goppelt, Florian¹  Schmidt-Vollus, Ronald¹ 

[1] Nueremberg Campus of Technology;Independent researcher

关键词: Singular spectrum analysis;    Singular value decomposition;    Directional selectivity;    Filter bank;    Wavelet transform;    Sub-band decomposition;   

DOI  :  10.1186/s13634-020-00685-4

来源: SpringerOpen

【 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.

【 授权许可】

CC BY