A New Generative Adversarial Network for Texture Preserving Image Denoising

机译：一种新的生成对抗性网络的纹理保留图像去噪

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In this paper, a new generative adversarial networks (GAN) is proposed for image denoising. The proposed GAN has a new generator network to produce denoised images with noisy images as input, and the entire network is trained using a new loss to represent the distance between the data distribution of clean images and denoised images. Based on quantitative and qualitative evaluating criteria, we made comparisons between our method and other denoising methods which shows the superiority of our approach.

机译：在本文中，提出了一种新的生成对抗网络（GAN）用于图像去噪。提议的GAN具有一个新的生成器网络，用于生成带有噪声图像作为输入的去噪图像，并且使用新的损失来训练整个网络，以表示干净图像和去噪图像的数据分布之间的距离。基于定量和定性的评估标准，我们将我们的方法与其他去噪方法进行了比较，这表明了我们方法的优越性。

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《International Conference on Image Processing Theory, Tools and Applications》|2018年|1-5|共5页
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Qu ZhiPing; Zhang YuanQi; Sun Yi; Lin XiangBo;
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Generators; Feature extraction; Training; Noise reduction; Generative adversarial networks; Image denoising; Convolution;

机译：生成器;特征提取;训练;降噪;生成对抗网络;图像去噪;卷积;

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机译：在低剂量胸部图像中使用条件生成对抗网络（CGAN）进行图像降噪
2. DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images [J] . Chen Zailiang, Zeng Ziyang, Shen Hailan, Biomedical signal processing and control . 2020,第Jana期

机译：DN-GAN：降噪生成对抗网络，以减少光学相干断层扫描图像中的斑点噪声
3. Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network [J] . Ran Maosong, Hu Jinrong, Chen Yang, Medical image analysis . 2019,第期

机译：使用残留的编码器解码器Wassersein生成对抗网络去噪3D磁共振图像
4. A New Generative Adversarial Network for Texture Preserving Image Denoising [C] . Qu ZhiPing, Zhang YuanQi, Sun Yi, International Conference on Image Processing Theory, Tools and Applications . 2018

机译：一种新的生成对抗网络，用于纹理图像去噪
5. Ct-Scan Image Denoising with Generative Adversarial Networks [D] . Gajera, Binit. 2020

机译：CT扫描图像去噪与生成对抗性网络
6. An Effective Image Denoising Method for UAV Images via Improved Generative Adversarial Networks [O] . Ruihua Wang, Xiongwu Xiao, Bingxuan Guo, 2018

机译：通过改进的生成对抗网络对无人机图像进行有效的图像去噪
7. Image Denoising With Generative Adversarial Networks and its Application to Cell Image Enhancement [O] . Songkui Chen, Daming Shi, Muhammad Sadiq, 2020

机译：用生成的对抗网络的图像去噪及其在细胞图像增强中的应用

A New Generative Adversarial Network for Texture Preserving Image Denoising

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