Chaos, order, and associative memory in video feedback

Gerd Haeusler; T. Neumahr; Lucas Parra; Harald Schoenfeld; B. Spellenberg

doi:10.1117/12.164774

1 December 1993 Chaos, order, and associative memory in video feedback

Gerd Haeusler, T. Neumahr, Lucas Parra, Harald Schoenfeld, B. Spellenberg

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Proceedings Volume 2039, Chaos in Optics; (1993) https://doi.org/10.1117/12.164774
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

A video image circulating in a loop with a local nonlinearity and a convolution operator can be considered as a high dimensional nonlinear dynamical system, or as a specific neural net. The evolving image displays spatiotemporal deterministic chaos, oscillations, and stable patterns. The specific behavior of the system is strongly determined by the coupling of pixels, i.e., by the synaptic pattern and by the nonlinearity. The system can be trained to display a certain given image as a fixed point. Thus, it is able to associatively restore perturbed input images, independently of a spatial shift.

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Gerd Haeusler, T. Neumahr, Lucas Parra, Harald Schoenfeld, and B. Spellenberg "Chaos, order, and associative memory in video feedback", Proc. SPIE 2039, Chaos in Optics, (1 December 1993); https://doi.org/10.1117/12.164774

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KEYWORDS

Convolution

Chaos

Video

Optical filters

Cameras

Dynamical systems

Image restoration

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