Archivos de código utilizados durante el desarrollo del Trabajo de Fin de Grado sobre Mejora de imágenes de resonancia magnética tridimensionales aplicando técnicas de inteligencia computacional.
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Updated
Mar 8, 2024 - Jupyter Notebook
Archivos de código utilizados durante el desarrollo del Trabajo de Fin de Grado sobre Mejora de imágenes de resonancia magnética tridimensionales aplicando técnicas de inteligencia computacional.
This project shows how to use superres and video stabilization methods
Computational tools for single molecule localization / superresolution microscopy (point clouds).
[JOURNAL TIP] 002-IMAGE-ARTIFACT-GENERATION
ImageJ macros for quantitative analysis of platelet alpha-granule SIM imaging as described in Swinkels and Hordijk et al (JTH, 2023)
Superresolução em sistemas de videovigilância: um estudo comparativo
2021-1.IVCL-SummerSchool(HEVC/SuperResolutions)
Image Super-Resolution Using Deep Convolutional Networks (a.k.a SRCNN) implementation using TensorFlow
Bei Liu's personal website
A collection of machine learning stuff
SPL Paper Codes
A simple and customisable implementation of super-resolution paper. It allows further hyperparameters then what the paper suggests.
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
Goal is to Convert Low Resolution Image to High Resolution Image
Models for image2image tasks. PyTorch.
In this project, we implement SRGAN. This paper attempts to upscale images up to a factor of 4x without losing the finer textural details. We extended the scope of this idea to videos. We demonstrate that the model generalizes well on out-of-domain inputs through various biased and unbiased inputs.
Accurate Image Super-Resolution Using Very Deep Convolutional Networks (a.k.a VDSR) implementation using TensorFlow
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