Optimal Quantization Of Noisy Signals

Enrico Dolazza, Louis Poulo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1984

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.

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