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Error Diffusion Network Implementation for Real-time Halftoning Applications

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Abstract

We report on a hardware approach to implement an error diffusion neural network for real-time image halftoning. We present simulation and experimental results using a modified current starved comparator as the quantizing element with a 40 fold reduction in pixel current over our previous designs.

© 2005 Optical Society of America

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