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Proceedings Paper

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

Paper Details

Date Published: 26 September 2013
PDF: 6 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885626 (26 September 2013); doi: 10.1117/12.2023048
Show Author Affiliations
Jan Švihlík, Institute of Chemical Technology (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)

Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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