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Updated: Jun 14, 2025

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梯度域模型驱动的算法展开网络,用于盲目的图像消除模糊

Zheng Guo1, Zirui Zhang1, Wei Yan2

  • 1School of Physics, Nanjing University of Science and Technology, Nanjing, 210094, China.

Neural networks : the official journal of the International Neural Network Society
|June 12, 2025
PubMed
概括

这项研究介绍了一种新的渐变驱动算法展开网络 (GDUNet) 用于盲目的图像消除模糊. 通过在深层展开框架内利用图像梯度,GDUNet有效地恢复清晰的图像.

关键词:
算法展开网络展开的算法盲目的图像消除了模糊.图像梯度之前的图像梯度.

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相关概念视频

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...
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