THE ANALYSIS OF THE NOISE OF QUANTIZATION OF LINEAR STATIONARY FILTERS OF IMAGE PROCESSING
Abstract
The problem of quantization of the coefficients of arbitrary linear stationary filters in order to minimize the noise of this phenomenon and efficient hardware implementation of digital image processing methods is investigated in the paper. The implementation of the method of linear stationary filtration is proposed, which makes it possible to reduce the number of filter coefficients and simplify the performance of rounding operations.
Keywords
цифровая обработка изображений,
фильтрация изображений,
линейный стационарный фильтр,
шум квантования,
разрядность коэффициентов фильтра,
формат с фиксированной точкой,
digital image processing,
image filtering,
linear stationary filter,
quantization noise,
filter coefficients,
fixed-point format
About the Authors
Nikolay Ivanovich Chervyakov
North-Caucasus Federal University
Russian Federation
Russian Federation
Pavel Alekseevich Lyakhov
North-Caucasus Federal University
Russian Federation
Russian Federation
Nikolay Nikolaevich Nagornov
North-Caucasus Federal University
Russian Federation
Russian Federation
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Review
For citations:
Chervyakov N.I., Lyakhov P.A., Nagornov N.N. THE ANALYSIS OF THE NOISE OF QUANTIZATION OF LINEAR STATIONARY FILTERS OF IMAGE PROCESSING. Modern Science and Innovations. 2018;(2):27-34. (In Russ.)
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