Deep|learning based denoising and reconstruction of super ...

Why would super resolution using deep learning beat the old school ...

In all of these cases, we are assuming a model for filling in the pixel values which is based on physics (e.g. due to the Point Spread Function) ...

Feasibility study of super-resolution deep learning-based ... - OUCI

Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted images.

Deep Learned Singular Residual Network for Super Resolution ...

Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. Zafran Hussain Shah, Photonics Research, 2021.

Unsupervised Deep Learning for Image Denoising - Yuhui Quan

A majority of ex- isting deep-learning-based denoisers (e.g. [31, 36, 37]) are supervised, which learn the mapping from the noisy input to its clean counterpart ...

Deep-learning-based super-resolution reconstruction of high-speed ...

In many fluid experiments, we can only obtain low-spatial high-temporal resolution flow images and high-spatial low-temporal resolution flow ...

Deep-learning-based methods for super-resolution fluorescence ...

The algorithm used for reconstruction or resolution enhancement is one of the factors affecting the quality of super-resolution images obtained by ...

... reconstruction for nonlinear models via piecewise rational optimization: ... End-to-End Learning for Joint Image Demosaicing, Denoising and Super- ...

A Deep Learning-Based Joint Image Super-Resolution and ...

Feature Extraction, Convolutional Neural Networks, Image Reconstruction, Superresolution, Artificial Intelligence, Task Analysis, Training, ...

Deep Learning-Based Super-Resolution Reconstruction and ... - MDPI

... based on fat-suppressed pulse sequences acquisitions. Post-processing of the reconstructed sound field images, including filtering, denoising, interpolation ...

(PDF) Deep Learning- And Transfer Learning-Based Super

Deep Learning- And Transfer Learning-Based Super Resolution Reconstruction From Single Medical Image by YiNan Zhang, MingQiang An published in.

Advancing biological super-resolution microscopy through deep ...

The implementation of deep learning-based super-resolution techniques for ... Deep learning-based noise reduction. Signal-to-noise ratio (SNR) is an ...

Alternate versions - IMDb

"PaperPlayer biorxiv biophysics" Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images (Podcast ...

Deep learning denoising reconstruction for improved image quality ...

This study aims to evaluate deep learning (DL) denoising reconstructions for image quality improvement of Doppler ultrasound (DUS)-gated fetal cardiac MRI in ...

Non-Local Recurrent Network for Image Restoration - NIPS papers

Dataset: For image denoising, we adopt two different settings to fairly and comprehensively compare with recent deep learning based methods [28, 23, 49, 36]: ...

Deep Learning Based Single Image Super-Resolution: A Survey

This survey mainly provides an overview on most of published work for single image reconstruction using Convolutional Neural Network. Furthermore, common issues ...

Super-resolution deep learning reconstruction approach for ...

Conclusion. SR-DLR, which is based on k-space data, has the potential to enhance the image quality of lumbar spine MR bone imaging utilizing ...

Denoising Prior Driven Deep Neural Network for Image Restoration

While most existing DNN-based methods solve the IR problems by directly mapping low quality images to desirable high-quality images, the ...

Deep learning based super resolution, without using a GAN

This article describes the techniques and training a deep learning model for image improvement, image restoration, inpainting and super resolution.

End-to-End Learning for Joint Image Demosaicing, Denoising and ...

With the recent advancement of deep convolutional neural networks. (CNNs) and their application in image restoration, several deep learning-based methods ...

Deep learning‐based image reconstruction and post‐processing ...

Keywords PET · Deep learning · Image reconstruction · Low-dose · Denoising · Super resolution · Dynamic PET. Introduction. Positron emission tomography (PET) ...