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Proceedings Paper

Optimal Quantization Of Noisy Signals
Author(s): Enrico Dolazza; Louis Poulo
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Paper Abstract

Physical signals acquired, quantized and processed in imaging systems are inherently noisy. Considering the source signal and noise statistics when designing a quantizing and processing system leads to a number of general and practical results. The theory and application of these techniques leads to an optimal bit-efficient quantization format with a number of interesting properties. Applying these can have beneficial effects on hardware costs arithmetic processing and data compression.

Paper Details

Date Published: 15 June 1984
PDF: 17 pages
Proc. SPIE 0454, Application of Optical Instrumentation in Medicine XII, (15 June 1984); doi: 10.1117/12.939361
Show Author Affiliations
Enrico Dolazza, Analogic Corporation (United States)
Louis Poulo, Analogic Corporation (United States)


Published in SPIE Proceedings Vol. 0454:
Application of Optical Instrumentation in Medicine XII
Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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