Application of Independent Component Analysis to Edge Detection and Watermarking

  • Authors:
  • Susana Hornillo-Mellado;Rubén Martín-Clemente;José I. Acha;Carlos G. Puntonet

  • Affiliations:
  • Área de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Spain;Área de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Spain;Área de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Spain;Dpto. de Arquitectura y Tecnología de Computadores, Universidad de Granada, Spain

  • Venue:
  • IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
  • Year:
  • 2009

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Abstract

This paper addresses the application of ICA to digital image processing. First of all, it is shown that edge detection can be obtained by reconstructing an image from its dominant ICA features. Using this result, an ICA-based watermarking method is proposed. Simulations show that the watermarks are robust against compression and gaussian noise.