A neural halftoning algorithm suiting VLSI implementation

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 981 - 984 vol.2
• Main Authors: Bernard, T., Garda, P., Zavidovique, B.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1990
• Subjects: Capacitors; Frequency conversion; Multiprocessor interconnection networks; Neural networks; Switches; Very large scale integration
• ISSN: 1520-6149
• DOI: 10.1109/ICASSP.1990.116041

Halftoning is presented as an application where the use of simple neural networks proves to be of immediate interest. Halftoning is a nonstandard A/D conversion that is treated as an optimization problem, subject to a frequency-weighted mean-square-error (MSE) criterion. The frequency weight is implemented by means of a specific neural interconnection network based on current diffusion in resistive grids. This physical choice not only leads to a dramatically compact VLSI switch capacitor implementation, but also turns the whole process into a clean 2-D isotropic generalization of Sigma - Delta modulation. Isotropy and shift-invariance cooperate within the same halftoning process for the sake of image rendition. The performances prove equal to the deep underlying harmony between the theoretical, algorithmic, and material aspects of the procedure.< >