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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Hornillo-Mellado, S., Martín-Clemente, R., Acha, J. I., & Puntonet, C. G. (2003). Application of independent component analysis to edge detection and watermarking. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2687, 273–280. https://doi.org/10.1007/3-540-44869-1_35
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