Image restoration with a neural network

机译：用神经网络进行图像复原

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The authors propose an image restoration algorithm by which the sharpness of blurred images can be restored. The restoration algorithm can be applied when characteristics of the degrading system are unknown. A neural network is used as a kind of nonlinear filter. This restoration algorithm was implemented with a neural network. This neural network has a layered structure, and values of connection weights are obtained by training with the backpropagation algorithm. Simulation results show that blurred images can be restored by using this algorithm.

机译：作者提出了一种图像恢复算法，通过该算法可以恢复模糊图像的清晰度。当降级系统的特性未知时，可以应用恢复算法。神经网络被用作一种非线性滤波器。该恢复算法是通过神经网络实现的。该神经网络具有分层结构，并且通过使用反向传播算法进行训练来获得连接权重的值。仿真结果表明，使用该算法可以恢复模糊图像。

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《Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on》|1992年|P.1078-1083|共6页
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Kurimoto M.; Kawa S.; Ishii R.;
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中图分类无线电电子学、电信技术;
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1. BLUR AND IMAGE RESTORATION OF NONLINEARLY DEGRADED IMAGES USING NEURAL NETWORKS BASED ON MODIFIED NONLINEAR ARMA MODEL [J] . T. A. Cheema, I. M. Qureshi, A. Jalil, The Arabian Journal for Science and Engineering. Section B, Engineering . 2007,第1B期

机译：基于改进的非线性ARM模型的神经网络对非线性退化图像的模糊和图像恢复
2. Genetic Algorithms Based Artificial Neural Networks for Blur Identification and Restoration of Degraded Images [J] . I.M. Qureshi, T.a. Cheema, A. Naveed, Information Technology Journal . 2003,第1期

机译：基于遗传算法的人工神经网络对退化图像的模糊识别与恢复
3. Genetic Algorithms Based Artificial Neural Networks for Blur Identification and Restoration of Degraded Images [J] . I.M. Qureshi, T.a. Cheema, A. Naveed, Information Technology Journal . 2003,第1期

机译：基于遗传算法的人工神经网络对退化图像的模糊识别与恢复
4. Blur and image restoration of nonlinearly degraded images using neural networks based on modified ARMA model [C] . Cheema T.A., Qureshi I.M., Jalil A., IEE Colloquium on Smart Design for Lean Manufacture, 1995 . 1995

机译：基于改进ARMA模型的神经网络对非线性退化图像的模糊和图像恢复
5. Image restoration and edge detection using neural networks. [D] . Paik, Joon Ki. 1990

机译：使用神经网络进行图像恢复和边缘检测。
6. Holo-UNet: hologram-to-hologram neural network restoration for high fidelity low light quantitative phase imaging of live cells [O] . Zhiduo Zhang, Yujie Zheng, Tienan Xu, 2020

机译：HOLO-UNET：全息图 - 全息图神经网络恢复用于高保真低光定量相成像的活细胞
7. Genetic Algorithms Based Artificial Neural Networks for Blur Identification and Restoration of Degraded Images [O] . I.M. Qureshi ., T.a. Cheema ., A. Naveed ., 2002

机译：基于遗传算法的模糊识别和降解图像的恢复的基于人工神经网络
8. Event-Train Restoration Via Backpropagation Neural Networks. [R] . Raeth, P. G. 1989

机译：通过反向传播神经网络恢复事件 - 列车。

Image restoration with a neural network

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