Grayscale imageFeature utilizationInformation lossIn most scenes, color images have richer information than grayscale images. This paper presents a method of grayscale image pseudo coloring that constructed and trained an end-to-end deep learning model based on dense neural network aims to extract ...
Image denoisingDeep learningAttention mechanismAlthough deep convolutional neural networks (CNNs) have received great attention in image denoising, most CNN-based methods do not take full account of the hierarchical features of the original low-quality images, including the spatial feature information ...
cascaded networkresidual learningdeep learningsingle image super-resolutionRecently, deep convolutional neural networks (CNNs) have achieved great success in single image super-resolution (SISR). Especially, dense skip connections and residual learning structures promote better performance. While most existing...
摘要: A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However,most deep CNN based SR models do not make full use of the hierarchical features from the original low-resolution (LR) imag...
E. Neural Network Uncertainty Quantification Approaches for Real Life Applications 不确定度估计方法 不确定度的来源很多,我们无法完全去除不确定度。而不确定度本身也很难精确计算,因为不同的不确定度不能统一精确建模而且很多时候甚至是未知的。通常情况下,不确定度的估计方法可以基于使用dnn的数量和本质分为四种不...
A mixed-scale dense convolutional neural network for image analysis, 2017年12月发表在美国国家科学院院刊。 参考文献: [1]Pelt D M, Sethian J A. A mixed-scale dense convolutional neural network for image analysis. In proceedings of the National Academy of Sciences, 2017. ...
Residual Dense Network for Image Super-Resolution Yulun Zhang , Yapeng Tian , Yu Kong , Bineng Zhong , Yun Fu CVPR2018 摘要 论文认为之前的方法没有取得较好超分辨率结果的原因是因为它们没有利用低分辨率图像的层次信息。而论文提出了残差稀疏块可以解决这个问题。经过残差链接的... 查看原文 Paper notes-...
Javier Gurrola-Ramos,Oscar DalmauandTeresa E. Alarcón,"A Residual Dense U-Net Neural Network for Image Denoising", IEEE Access, vol. 9, pp. 31742-31754, 2021, doi:10.1109/ACCESS.2021.3061062. Citation If you use this paper work in your research or work, please cite our paper: ...
3.2 RDN(Residual Dense Network)残差稠密网络结构 3.3 与DenseNet、SRDenseNet、MemNet对比 4 理论依据 5 实验 参考文献: 关键词:残差连接、稠密连接、残差稠密网络、超分网络、单张图像超分——Single Image Super-Resolution (SISR)。 1 研究背景 有研究使用各种有效的加深和加宽网络的技巧来增强网络的表现; 很多...
IET Image Process 15(11):2532–2547 Vacher J, Launay C, Coen-Cagli R (2022) Flexibly regularized mixture models and application to image segmentation. Neural Netw 149:107–123 Article MATH Google Scholar Hu D, Yang H, Hou X (2022) Distance field-based convolutional neural network for ...