Modeling of quantization noise in linear analog-to-digital converter

Jan Švihlík; Karel Fliegel

doi:10.1117/12.2023048

26 September 2013 Modeling of quantization noise in linear analog-to-digital converter

Jan Švihlík, Karel Fliegel

Proceedings Volume 8856, Applications of Digital Image Processing XXXVI; 885626 (2013) https://doi.org/10.1117/12.2023048
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Quantization noise is present in all the current digital imaging systems, therefore its understanding and modeling is crucial for optimization of image reconstruction techniques. Hence, this paper deals with modeling of the quantization noise. We exploit the undecimated wavelet transform (UWT) for signal representation. We assume that the quantization noise in the spatial domain can be seen as additive, white and uniformly distributed. Hence, the UWT causes the transform of noise distribution due to weighted sum of noise samples and filter coefficients. From the known quantization step we are able to estimate suitable moments of noise uniform probability density function (PDF). These moments then could be directly evaluated in the undecimated wavelet domain using the derived equations. The presented algorithm gives the a priori information about the quantization noise and can be used for the suppression of it.

Citation Download Citation

Jan Švihlík and Karel Fliegel "Modeling of quantization noise in linear analog-to-digital converter", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885626 (26 September 2013); https://doi.org/10.1117/12.2023048

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