Share Email Print

Optical Engineering

Smart pixel technology and an application to two-dimensional analog-to-digital conversion
Author(s): Barry L. Shoop; Robert W. Sadowski; Glen P. Dudevoir; Eugene K. Ressler; Andre H. Sayles; Dirk A. Hall; Daniel M. Litynski
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

A short review of smart pixel technology is followed by an application of one specific smart pixel technology to a 2-D application of analog-to-digital conversion called digital image halftoning. A novel approach to digital image halftoning is described based on a symmetric error diffusion algorithm, a new form of artificial neural network called an error diffusion neural network, and a smart pixel optoelectronic architecture. Two generations of smart pixel architectures are described that incorporate self-electro-optic effect device (SEED) modulators flip-chip bonded to submicrometer feature size complementary metal-oxide semiconductor (CMOS) silicon circuitry to produce CMOS-SEED implementations of the error diffusion neural network. Simulations and experimental characterizations demonstrate that this hardware approach provides sufficient computational accuracy for the analog neural network while simultaneously providing switching speeds that support halftoning at video rates.

Paper Details

Date Published: 1 December 1998
PDF: 12 pages
Opt. Eng. 37(12) doi: 10.1117/1.601995
Published in: Optical Engineering Volume 37, Issue 12
Show Author Affiliations
Barry L. Shoop, U.S. Military Academy (United States)
Robert W. Sadowski, U.S. Military Academy of West Point (United States)
Glen P. Dudevoir, U.S. Military Academy (United States)
Eugene K. Ressler, United States Military Academy (United States)
Andre H. Sayles, U.S. Military Academy (United States)
Dirk A. Hall, U.S. Military Academy (United States)
Daniel M. Litynski, U.S. Military Academy (United States)

© SPIE. Terms of Use
Back to Top