Abstract
The quantization of a graytone image results in the introduction of quantization noise. To influence the characteristics of the image, different types of constraints can be forced on the noise spectrum. These constraints may be used to adapt the image characteristics to a processing system or to the characteristics of the graytone image. Amplitude and phase can be controlled in different regions in the spectrum during the quantization, allowing an enhancement of details in the image. Moreover, it is of advantage to use oversampled spectra during the quantization, taking the fact into account that the finally printed or displayed image possesses a continuous spectrum. 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 they impose must be considered when choosing specific spectral constraints.
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