26 July 1993 Neural algorithms in digital halftoning
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Proceedings Volume 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology; 19835E (1993) https://doi.org/10.1117/12.2308613
Event: 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 1993, Budapest, Hungary
Abstract
In electronic halftoning nonlinear transformation from greylevel to bilevel data sets can be implemented by various procedures. Neural networks offer new possibilities for local and global processing in this area. Among global methods the theory of the Hopfield net is well understood. It has already found its application in many optimization problems and has also been used for halftoning. A certain analogy can be drawn to the iterative Fourier transform algorithm. Our examinations analyze the relationship between the theory of the Hopfield net and the iterative Fourier transform algorithm and show how they can benefit from each other. This analysis allows a better understanding of the methods for digital halftoning.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Tuttass, Thomas Tuttass, } "Neural algorithms in digital halftoning", Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 19835E (26 July 1993); doi: 10.1117/12.2308613; https://doi.org/10.1117/12.2308613
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