Spectral constraints in the quantization of two-dimensional data distributions

Thomas Scheermesser; Manfred Broja; Olof Bryngdahl

doi:10.1117/12.131225

30 October 1992 Spectral constraints in the quantization of two-dimensional data distributions

Thomas Scheermesser, Manfred Broja, Olof Bryngdahl

Proceedings Volume 1812, Optical Computing and Neural Networks; (1992) https://doi.org/10.1117/12.131225
Event: International Symposium on Optoelectronics in Computers, Communications, and Control, 1992, Hsinchu, Taiwan

Abstract

The quantization of an image is connected with the introduction of noise. To adapt the quantized image to the demands of its application constraints can be forced on the spectrum of the noise. But not every spectral constraint can be realized. Coupling mechanisms between the values in the image spectrum limit the realization of spectral constraints. In this paper these limitations are examined for different types of spectral constraints. Amplitude and phase control in portions of the spectrum are treated as well as the use of oversampled spectra during the quantization. Halftoning experiments are shown to illustrate the results.

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Thomas Scheermesser, Manfred Broja, and Olof Bryngdahl "Spectral constraints in the quantization of two-dimensional data distributions", Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); https://doi.org/10.1117/12.131225

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KEYWORDS

Quantization

Image processing

Binary data

Neural networks

Optical computing

Fourier transforms

Computing systems

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