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基于双域窗口的单个图像模糊消除的多阶段网络mamba.

Wenbo Wu1, Lei Liu2, Jingtao Wang1

  • 1State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China; School of Computer Science and Cybersecurity, Communication University of China, Beijing 100024, China.

Neural networks : the official journal of the International Neural Network Society
|April 23, 2025
PubMed
概括

本研究介绍了多阶段视觉双域窗口Mamba (DDWMamba),这是一个新的方法,图像模糊. DDWMamba有效地捕捉了全球背景,并降低了计算复杂性,优于现有的方法.

关键词:
频率分析频率分析图像消除模糊的方法多个阶段的多阶段.选择性的状态空间空间.

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Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...