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|Title:||Analysis of the quantization noise of linear time-invariant filters for image processing|
|Authors:||Lyakhov, P. A.|
Ляхов, П. А.
Nagornov, N. N.
Нагорнов, Н. Н.
Chervyakov, N. I.
Червяков, Н. И.
|Keywords:||Digital image processing;Filter coefficients;Fixed-point numbers;Image filtering;Linear time-invariant filter;Quantization noise|
|Publisher:||Institute of Electrical and Electronics Engineers Inc.|
|Citation:||Lyakhov, P.A., Nagornov, N.N., Chervyakov, N.I., Kaplun, D.I. Analysis of the quantization noise of linear time-invariant filters for image processing // Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. - 2019. - Номер статьи 8657315. - Pages 1192-1196|
|Series/Report no.:||Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019|
|Abstract:||The problem of quantization of the coefficients of arbitrary linear time-invariant filters in order to minimize the noise of this phenomenon is investigated in this paper. The implementation of the method of linear time-invariant filtration is proposed, which makes it possible to reduce the bit-width of the filter coefficients and simplify the performance of rounding operations. The analysis of the effect of the bit-width of the filter coefficients on the magnitude of the quantization noise and the resulting error of the filtration method being investigated is carried out. The formulas for determining the minimum bit-width of the filter coefficients, providing high quality of image processing, are derived, depending on the filter used. It is concluded that when using these formulas, the quantization noise that occurs when the filter coefficients are rounded off does not have a significant effect on the image processing result|
|Appears in Collections:||Статьи, проиндексированные в SCOPUS, WOS|
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