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Blind deep-learning based preprocessing method for Fourier ptychographic microscopy 期刊论文
Optics and Laser Technology, 2024, 卷号: 169
作者:  Wu, Kai;  Pan, An;  Sun, Zhonghan;  Shi, Yinxia;  Gao, Wei
Adobe PDF(10182Kb)  |  收藏  |  浏览/下载：63/0  |  提交时间：2023/10/26
Fourier ptychographic microscopy  Noise modeling  Blind denoising  Deep learning  
CMID: Crossmodal Image Denoising via Pixel-Wise Deep Reinforcement Learning 期刊论文
Sensors, 2024, 卷号: 24, 期号: 1
作者:  Guo, Yi;  Gao, Yuanhang;  Hu, Bingliang;  Qian, Xueming;  Liang, Dong
Adobe PDF(1987Kb)  |  收藏  |  浏览/下载：31/0  |  提交时间：2024/02/07
deep reinforcement learning  pixel-wise image processing  crossmodal image denoising  infrared image denoising  terahertz image denoising  
Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis 期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 2
作者:  Liu, Zengxin;  Ma, Caiwen;  She, Wenji;  Xie, Meilin
Adobe PDF(1424Kb)  |  收藏  |  浏览/下载：26/1  |  提交时间：2024/03/04
biomedical image segmentation  Denoising Diffusion Probabilistic Models  probabilistic generative model  
Deep neural network: As the novel pipelines in multiple preprocessing for Raman spectroscopy 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 302
作者:  Gao, Chi;  Zhao, Peng;  Fan, Qi;  Jing, Haonan;  Dang, Ruochen;  Sun, Weifeng;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2962Kb)  |  收藏  |  浏览/下载：70/0  |  提交时间：2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
作者:  Feng, Xubin;  Zhang, Wuxia;  Su, Xiuqin;  Xu, Zhengpu
Adobe PDF(14071Kb)  |  收藏  |  浏览/下载：168/0  |  提交时间：2021/06/09
remote sensing  denoising  super-resolution  generative adversarial network (GAN)  residual network (ResNet)  densely connection network (DenseNet)  relativistic  wavelet transform (WT)  total variation (TV)  
A denoising method based on CNN for the measurement of far-field focal spot of high power laser using Schlieren method 会议论文
AOPC 2020: OPTICAL SENSING AND IMAGING TECHNOLOGY, Xiamen, PEOPLES R CHINA, 2020-08-25
作者:  Li, Gang;  Wang, Zhengzhou;  Wang, Li;  Tan, Meng;  Wang, Wei;  Yi, Dongchi;  Wei, Jitong
Adobe PDF(1037Kb)  |  收藏  |  浏览/下载：109/2  |  提交时间：2021/06/04
Measurement of far-field focal spot  Schlieren method  DnCNN  Denoising method  
A stereo matching with reconstruction network for lowlight stereo vision 会议论文
Proceedings of 2019 2nd International Conference on Signal Processing and Machine Learning, SPML 2019, Hangzhou, China, 2019-11-27
作者:  Tang, Rui;  Zhang, Geng;  Liu, Xuebin
Adobe PDF(967Kb)  |  收藏  |  浏览/下载：187/1  |  提交时间：2020/03/06
stereo matching  low-light image  image reconstruction  image denoising  
Compressed Blind Deconvolution and Denoising for Complementary Beam Subtraction Light-Sheet Fluorescence Microscopy 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 10, 页码: 2979-2989
作者:  Bai, Chen;  Liu, Chao;  Jia, Hao;  Peng, Tong;  Min, Junwei;  Lei, Ming;  Yu, Xianghua;  Yao, Baoli
Adobe PDF(4394Kb)  |  收藏  |  浏览/下载：240/1  |  提交时间：2019/10/11
Light-sheet fluorescence microscopy  blind image deconvolution  denoising  compressed sensing  
Single Space Object Image Denoising and Super-Resolution Reconstructing Using Deep Convolutional Networks 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 16
作者:  Feng, Xubin;  Su, Xiuqin;  Shen, Junge;  Jin, Humin
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：231/0  |  提交时间：2019/09/27
space object  cosmic-ray  denoising  super-resolution  CNN  residual learning  
Sparse representation based medical ultrasound images denoising with reshaped-RED 会议论文
Eleventh International Conference on Digital Image Processing, ICDIP 2019, Guangzhou, China, 2019-05-10
作者:  Pu, Xiaoqiu;  Li, Zhixin;  Li, Baopeng;  Lei, Hao;  Gao, Wei;  Liu, Jiwei
Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：159/0  |  提交时间：2019/10/10
Ultrasound image  speckle noise  sparse representation  regularization by denoising  variable splitting