基于忆阻器的高密度椒盐噪声去除选择卷积电路

IF 5.2 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems I: Regular Papers Pub Date : 2025-03-08 DOI:10.1109/TCSI.2025.3566364

Binghui Ding;Ling Chen;Chuandong Li;Tingwen Huang;Sushmita Mitra

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引用次数: 0

摘要

本文提出了一种基于忆阻器的选择性卷积（MSC）去噪电路。在实验中，建立了MSC模型，并与三元选择性卷积（TSC）模型进行了基准测试。结果表明，MSC模型有效地恢复了被SAP噪声破坏的图像，在噪声密度高达50%时，在定量测量和视觉质量方面都达到了与TSC模型相似的性能。此外，本研究提出了一种基于MSC的增强型MSC （MSCE）模型，与MSC模型相比，该模型在提高性能的同时，功耗降低了57.6%。当记忆电阻器的电导漂移率小于30%，产量大于89%时，MSCE模型保持可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal

In this article, the memristor-based selective convolutional (MSC) circuit for salt-and-pepper (SAP) noise removal was proposed. In experiments, the MSC model was built and benchmarked against a ternary selective convolutional (TSC) model. Results show that the MSC model effectively restores images corrupted by SAP noise, achieving similar performance to the TSC model in both quantitative measures and visual quality at noise densities of up to 50%. In addition, this study proposes an enhanced MSC (MSCE) model based on MSC, which reduces power consumption by 57.6% compared with the MSC model while improving performance. The MSCE model maintains reliability when memristors experience conductance drift rates of less than 30% and yields greater than 89%.

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来源期刊

IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程：电子与电气

CiteScore

9.80

自引率

11.80%

发文量

441

审稿时长

2 months

期刊介绍： TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.