Color Image Reconstruction in Different Lighting Conditions using Autoencoder Technque
-
Updated
Jun 25, 2022
Color Image Reconstruction in Different Lighting Conditions using Autoencoder Technque
Repository for our deep multitask paper in DOT imaging.
Addresses the problem of reconstructing images acquired by diffuse optical tomography using deep learning.
Robust Image Reconstruction with Misaligned Structural Information
Evaluation code for my Master's Project.
Interactive Web UI for X-ray CT with Real-time Results
This project implements a genetic algorithm for image reconstruction
Addresses the problem of reconstructing images acquired by diffuse optical tomography using deep learning.
Calibrationless Multi-Slice Cartesian MRI via Orthogonally Alternating Phase Encoding Direction and Joint Low-Rank Tensor Completion
This code allows to reproduce the results of the paper "Robust Image Reconstruction with Misaligned Structural Information" which aims to reconstruct an image from an indirect measurement whilst registering it with a structural side information from a different modality.
Overview of this organization for image reconstruction Julia code, and related repos
Cifar-10 Image Reconstruction using Auto-encoder Models
Image Reconstruction from Brain fMRI imaging using Diffusion Models
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
Proposed a monocular 3D polarization imaging approach for non-Lambertian surfaces by investigating the subtle difference in specular and diffuse reflection and then separating them using independent component analysis (ICA).
Codes for multi-grid reconstruction on micro-CT scanner
Course project (optional task 1) of SJTU CS3612: Machine Learning, 2023 spring
Reconstruction of office from a set of 3D point clouds
Autoencoders implementation for Image Reconstruction of Shabd (hindi characters) dataset in Python using Keras
Add a description, image, and links to the image-reconstruction topic page so that developers can more easily learn about it.
To associate your repository with the image-reconstruction topic, visit your repo's landing page and select "manage topics."