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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