I use U-net to reconstruct the fresnel diffraction images.
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Updated
May 16, 2023 - Python
I use U-net to reconstruct the fresnel diffraction images.
WashU Computational Methods for Imaging Science Course Material (SP2019.E62.BME.493.01)
Implementation of synthetic refocusing imaging and image-based relighting.
MATLAB and Python code for single-shot, high-resolution tomographic imaging of discrete dynamic objects.
High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.
Code for weighted multi-scale denoising via adaptive multi-channel fusion for compressed ultrafast photography.
[CVPR 2022] Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
[TCI2024] Polarimetric Light Transport Analysis for Specular Inter-reflection
Imaging Privacy Threats from an Ambient Light Sensor (Science Advances 2024)
Final assessment for "Computational Imaging and Vision" course within the PhD program in Information Engineering of the Department of Information Engineering @ University of Pisa, A.A. 2022/2023
This is a repository containing some of my relevant past publications and associated supplementary information. I wanted to share these so that they are accessible and free to read for any interested individual who is curious about science/engineering within these topics
A simple, approachable ptychography experimental pipeline written in Python.
Focus stacking and depth-from-focus experiments
Blur decomposition based on coded exposure photography and implicit neural representation of videos
A flexible SIM reconstruction method capable to handle difficult data prone to reconstruction artifacts.
My projects in various fields of Image Processing.
Jupyter notebook with Python-based workflow for co-registration of radiographic imaging (MRI/CT etc.) with digitized pathology images, and mapping annotations from pathology onto imaging.
Reference MATLAB and Python implementations of the RADISTAT algorithm
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