Implementation of Smoothing Image Filtering in the Residue Number System

Implementation of Smoothing Image Filtering in the Residue Number System

In this paper, we propose a new method for image smoothing using the Residue Number System (RNS). The essence of the approach is to replace the computationally complex division operation in RNS with the multiplication of all fractional numbers by a power of two and rounding off. As a result of these...

Полное описание

Сохранить в:

Библиографические подробности
Главные авторы:	Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Nagornov, N. N., Нагорнов, Н. Н.
Формат:	Статья
Язык:	English
Опубликовано:	Institute of Electrical and Electronics Engineers Inc. 2019
Темы:	Digital image processing Residue number system (RNS) Smoothing filter Image processing
Online-ссылка:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85073897518&origin=resultslist&sort=plf-f&src=s&st1=Implementation+of+Smoothing+Image+Filtering+in+the+Residue+Number+System&st2=&sid=c1f04c282b748add6a7e93b2548659ee&sot=b&sdt=b&sl=87&s=TITLE-ABS-KEY%28Implementation+of+Smoothing+Image+Filtering+in+the+Residue+Number+System%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/8328
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Схожие документы

High-speed smoothing filter in the residue number system
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

Two methods of adaptive median filtering of impulse noise in images
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

High-performance digital image filtering architectures in the residue number system based on the Winograd method
Автор: Valueva, M. V., и др.
Опубликовано: (2022)

RNS-based image processing
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

RNS-based image processing
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

Analysis of the quantization noise of linear time-invariant filters for image processing
Автор: Lyakhov, P. A., и др.
Опубликовано: (2019)

A new method for adaptive median filtering of images
Автор: Lyakhov, P. A., и др.
Опубликовано: (2019)

High-performance hardware 3D medical imaging using wavelets in the residue number system
Автор: Chervyakov, N. I., и др.
Опубликовано: (2020)

Efficiency analysis of the image impulse noise cleaning using median filters with weighted central element
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

On the algorithmic complexity of digital image processing filters with winograd calculations
Автор: Lyakhov, P. A., и др.
Опубликовано: (2022)

Low-bit hardware implementation of DWT for 3D medical images processing
Автор: Lyakhov, P. A., и др.
Опубликовано: (2020)

Analysis of the quantization noise in discrete wavelet transform filters for 3D medical imaging
Автор: Chervyakov, N. I., и др.
Опубликовано: (2020)

High-quality 3D medical imaging by wavelet filters with reduced coefficients bit-width
Автор: Chervyakov, N. I., и др.
Опубликовано: (2020)

New method for detecting and removing random-valued impulse noise from images
Автор: Lyakhov, P. A., и др.
Опубликовано: (2023)

On the Computational Complexity of 2D Filtering by Winograd Method
Автор: Lyakhov, P. A., и др.
Опубликовано: (2022)

Hardware implementation of a convolutional neural network using calculations in the residue number system
Автор: Chervyakov, N. I., и др.
Опубликовано: (2019)

Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity
Автор: Lyakhov, P. A., и др.
Опубликовано: (2023)

Increasing of convolutional neural network performance using residue number system
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

Method of oriented contour detection on image using lorentz function
Автор: Lyakhov, P. A., и др.
Опубликовано: (2020)

Quantization noise of multilevel discrete wavelet transform filters in image processing
Автор: Chervyakov, N. I., и др.
Опубликовано: (2019)

Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
Автор: Valueva, M. V., и др.
Опубликовано: (2020)

Method of cleaning hair structures for intellectual image classification of skin neoplasms
Автор: Lyakhova, U. A., и др.
Опубликовано: (2021)

Analysis of the quantization noise in discrete wavelet transform filters for image processing
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

Analysis of the quantization noise in discrete wavelet transform filters for image processing
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

Distortion level analysis of a 2D median filter with a weighted central element
Автор: Kiladze, M. R., и др.
Опубликовано: (2022)

Implementation of digital filters in the residue number system
Автор: Veligosha, A. V., и др.
Опубликовано: (2018)

Comparative Analysis of Despeckle Filtering Methods for Ultrasound Images
Автор: Baboshina, V. A., и др.
Опубликовано: (2023)

RNS-based FPGA accelerators for high-quality 3D medical image wavelet processing using scaled filter coefficients
Автор: Nagornov, N. N., и др.
Опубликовано: (2022)

Hardware implementation of video processing device using residue number system
Автор: Chervyakov, N. I., и др.
Опубликовано: (2019)

System for neural network recognition of malignant pigmented skin neoplasms with image pre-processing
Автор: Lyakhova, U. A., и др.
Опубликовано: (2021)

Uncoded Video Data Stream Denoising in a Binary Symmetric Channel
Автор: Orazaev, A. R., и др.
Опубликовано: (2023)

Combined Use of a Bilateral and Median Filter to Suppress Gaussian Noise in Images
Автор: Baboshina, V. A., и др.
Опубликовано: (2022)

High-performance digital filtering on truncated multiply-accumulate units in the residue number system
Автор: Lyakhov, P. A., и др.
Опубликовано: (2020)

Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System
Автор: Valuev, G. V., и др.
Опубликовано: (2023)

High-Speed Wavelet Image Processing Using the Winograd Method with Downsampling
Автор: Lyakhov, P. A., и др.
Опубликовано: (2023)

3d-generalization of impulse noise removal method for video data processing
Автор: Chervyakov, N. I., и др.
Опубликовано: (2020)

Residue number system-based solution for reducing the hardware cost of a convolutional neural network
Автор: Chervyakov, N. I., и др.
Опубликовано: (2020)

Effect of RNS moduli set selection on digital filter performance for satellite communications
Автор: Chervyakov, N. I., и др.
Опубликовано: (2018)

Reducing the Computational Complexity of Image Processing Using Wavelet Transform Based on the Winograd Method
Автор: Lyakhov, P. A., и др.
Опубликовано: (2023)

Technique to adjust adaptive digital filter coefficients in Residue Number System based filters
Автор: Kalmykov, I. A., и др.
Опубликовано: (2021)