Comparative analysis of the ICA algorithms applied on a 2D signal

Authors

  • Nikola Bešić GIPSA-lab, Grenoble INP, Grenoble
  • Gabriel Vasile GIPSA-lab, CNRS, Grenoble
  • Budimir Lutovac University of Montenegro
  • Srđan Stanković University of Montenegro
  • Dragan Filipović University of Montenegro

Keywords:

image, FastICA, jade, fobi, cdf

Abstract

Blind source separation is one of the major areas of research in signal and image processing today. Being a broad area, it actually comprises various distinctive techniques. The revolutionary one, considered here, is Independent Component Analysis (ICA). Nowadays, the FastICA method, based on the fixed-point iterative algorithm, is probably the most widespread method in estimating independent components. Aside from it, there are numerous methods based on tensorial decomposition, among which FOBI and JADE are regarded as the most representative. In this paper we introduce these ICA methods and analyze their performances, illustrated through the application on a synthetic 2D signal (image).

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Published

22.03.2023

Issue

Vol. 20 No. 1 (2014)

Section

Articles

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