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The quantization of a graytone image results in the introduction of quantization noise. To influence the charac- teristics of the image, different types of constraints can be forced on the noise spectrum. These constraints may be chosen in a way that takes the demands of a specific application into account. Their realization is possible by controlling amplitude and phase in different regions of the spectrum during the quantization, which may be done using an iterative quantization algorithm. However, the realization of these spectral constraints is limited by two different mechanisms. An analysis of these mechanisms leads to a set of linear and a set of nonlinear equations. The restrictions resulting from them must be considered when choosing specific spectral constraints.
Thomas Scheermesser
"The realization of spectral constraints in image quantization", Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 198327 (26 July 1993); https://doi.org/10.1117/12.2308498
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Thomas Scheermesser, "The realization of spectral constraints in image quantization," Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 198327 (26 July 1993); https://doi.org/10.1117/12.2308498